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Sample records for based rna extraction

  1. Novel extraction strategy of ribosomal RNA and genomic DNA from cheese for PCR-based investigations.

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    Bonaïti, Catherine; Parayre, Sandrine; Irlinger, Françoise

    2006-03-15

    Cheese microorganisms, such as bacteria and fungi, constitute a complex ecosystem that plays a central role in cheeses ripening. The molecular study of cheese microbial diversity and activity is essential but the extraction of high quality nucleic acid may be problematic: the cheese samples are characterised by a strong buffering capacity which negatively influenced the yield of the extracted rRNA. The objective of this study is to develop an effective method for the direct and simultaneous isolation of yeast and bacterial ribosomal RNA and genomic DNA from the same cheese samples. DNA isolation was based on a protocol used for nucleic acids isolation from anaerobic digestor, without preliminary washing step with the combined use of the action of chaotropic agent (acid guanidinium thiocyanate), detergents (SDS, N-lauroylsarcosine), chelating agent (EDTA) and a mechanical method (bead beating system). The DNA purification was carried out by two washing steps of phenol-chloroform. RNA was isolated successfully after the second acid extraction step by recovering it from the phenolic phase of the first acid extraction. The novel method yielded pure preparation of undegraded RNA accessible for reverse transcription-PCR. The extraction protocol of genomic DNA and rRNA was applicable to complex ecosystem of different cheese matrices.

  2. Automation of DNA and miRNA co-extraction for miRNA-based identification of human body fluids and tissues.

    Science.gov (United States)

    Kulstein, Galina; Marienfeld, Ralf; Miltner, Erich; Wiegand, Peter

    2016-10-01

    In the last years, microRNA (miRNA) analysis came into focus in the field of forensic genetics. Yet, no standardized and recommendable protocols for co-isolation of miRNA and DNA from forensic relevant samples have been developed so far. Hence, this study evaluated the performance of an automated Maxwell® 16 System-based strategy (Promega) for co-extraction of DNA and miRNA from forensically relevant (blood and saliva) samples compared to (semi-)manual extraction methods. Three procedures were compared on the basis of recovered quantity of DNA and miRNA (as determined by real-time PCR and Bioanalyzer), miRNA profiling (shown by Cq values and extraction efficiency), STR profiles, duration, contamination risk and handling. All in all, the results highlight that the automated co-extraction procedure yielded the highest miRNA and DNA amounts from saliva and blood samples compared to both (semi-)manual protocols. Also, for aged and genuine samples of forensically relevant traces the miRNA and DNA yields were sufficient for subsequent downstream analysis. Furthermore, the strategy allows miRNA extraction only in cases where it is relevant to obtain additional information about the sample type. Besides, this system enables flexible sample throughput and labor-saving sample processing with reduced risk of cross-contamination. © 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

  3. Identification of More Feasible MicroRNA-mRNA Interactions within Multiple Cancers Using Principal Component Analysis Based Unsupervised Feature Extraction.

    Science.gov (United States)

    Taguchi, Y-H

    2016-05-10

    MicroRNA(miRNA)-mRNA interactions are important for understanding many biological processes, including development, differentiation and disease progression, but their identification is highly context-dependent. When computationally derived from sequence information alone, the identification should be verified by integrated analyses of mRNA and miRNA expression. The drawback of this strategy is the vast number of identified interactions, which prevents an experimental or detailed investigation of each pair. In this paper, we overcome this difficulty by the recently proposed principal component analysis (PCA)-based unsupervised feature extraction (FE), which reduces the number of identified miRNA-mRNA interactions that properly discriminate between patients and healthy controls without losing biological feasibility. The approach is applied to six cancers: hepatocellular carcinoma, non-small cell lung cancer, esophageal squamous cell carcinoma, prostate cancer, colorectal/colon cancer and breast cancer. In PCA-based unsupervised FE, the significance does not depend on the number of samples (as in the standard case) but on the number of features, which approximates the number of miRNAs/mRNAs. To our knowledge, we have newly identified miRNA-mRNA interactions in multiple cancers based on a single common (universal) criterion. Moreover, the number of identified interactions was sufficiently small to be sequentially curated by literature searches.

  4. DNA and RNA Extraction and Quantitative Real-Time PCR-Based Assays for Biogas Biocenoses in an Interlaboratory Comparison

    Science.gov (United States)

    Lebuhn, Michael; Derenkó, Jaqueline; Rademacher, Antje; Helbig, Susanne; Munk, Bernhard; Pechtl, Alexander; Stolze, Yvonne; Prowe, Steffen; Schwarz, Wolfgang H.; Schlüter, Andreas; Liebl, Wolfgang; Klocke, Michael

    2016-01-01

    Five institutional partners participated in an interlaboratory comparison of nucleic acid extraction, RNA preservation and quantitative Real-Time PCR (qPCR) based assays for biogas biocenoses derived from different grass silage digesting laboratory and pilot scale fermenters. A kit format DNA extraction system based on physical and chemical lysis with excellent extraction efficiency yielded highly reproducible results among the partners and clearly outperformed a traditional CTAB/chloroform/isoamylalcohol based method. Analytical purpose, sample texture, consistency and upstream pretreatment steps determine the modifications that should be applied to achieve maximum efficiency in the trade-off between extract purity and nucleic acid recovery rate. RNA extraction was much more variable, and the destination of the extract determines the method to be used. RNA stabilization with quaternary ammonium salts was an as satisfactory approach as flash freezing in liquid N2. Due to co-eluted impurities, spectrophotometry proved to be of limited value for nucleic acid qualification and quantification in extracts obtained with the kit, and picoGreen® based quantification was more trustworthy. Absorbance at 230 nm can be extremely high in the presence of certain chaotropic guanidine salts, but guanidinium isothiocyanate does not affect (q)PCR. Absolute quantification by qPCR requires application of a reliable internal standard for which correct PCR efficiency and Y-intercept values are important and must be reported. PMID:28952569

  5. Efficient extraction of RNA from various Camellia species rich in ...

    African Journals Online (AJOL)

    Camellia species, an important economic plants widely distributed in Asia, are recalcitrant to RNA extraction. Here, we developed a method for high quality RNA isolation. Based on the RNA isolated from flower buds, deep transcriptome sequencing of Camellia oleifera, Camellia chekiangoleosa and Camellia brevistyla ...

  6. Protocol: A simple phenol-based method for 96-well extraction of high quality RNA from Arabidopsis

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    Coustham Vincent

    2011-03-01

    Full Text Available Abstract Background Many experiments in modern plant molecular biology require the processing of large numbers of samples for a variety of applications from mutant screens to the analysis of natural variants. A severe bottleneck to many such analyses is the acquisition of good yields of high quality RNA suitable for use in sensitive downstream applications such as real time quantitative reverse-transcription-polymerase chain reaction (real time qRT-PCR. Although several commercial kits are available for high-throughput RNA extraction in 96-well format, only one non-kit method has been described in the literature using the commercial reagent TRIZOL. Results We describe an unusual phenomenon when using TRIZOL reagent with young Arabidopsis seedlings. This prompted us to develop a high-throughput RNA extraction protocol (HTP96 adapted from a well established phenol:chloroform-LiCl method (P:C-L that is cheap, reliable and requires no specialist equipment. With this protocol 192 high quality RNA samples can be prepared in 96-well format in three hours (less than 1 minute per sample with less than 1% loss of samples. We demonstrate that the RNA derived from this protocol is of high quality and suitable for use in real time qRT-PCR assays. Conclusion The development of the HTP96 protocol has vastly increased our sample throughput, allowing us to fully exploit the large sample capacity of modern real time qRT-PCR thermocyclers, now commonplace in many labs, and develop an effective high-throughput gene expression platform. We propose that the HTP96 protocol will significantly benefit any plant scientist with the task of obtaining hundreds of high quality RNA extractions.

  7. Principal component analysis based feature extraction approach to identify circulating microRNA biomarkers.

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    Y-h Taguchi

    Full Text Available The discovery and characterization of blood-based disease biomarkers are clinically important because blood collection is easy and involves relatively little stress for the patient. However, blood generally reflects not only targeted diseases, but also the whole body status of patients. Thus, the selection of biomarkers may be difficult. In this study, we considered miRNAs as biomarker candidates for several reasons. First, since miRNAs were discovered relatively recently, they have not yet been tested extensively. Second, since the number of miRNAs is relatively limited, selection is expected to be easy. Third, since they are known to play critical roles in a wide range of biological processes, their expression may be disease specific. We applied a newly proposed method to select combinations of miRNAs that discriminate between healthy controls and each of 14 diseases that include 5 cancers. A new feature selection method is based on principal component analysis. Namely this method does not require knowledge of whether each sample was derived from a disease patient or a healthy control. Using this method, we found that hsa-miR-425, hsa-miR-15b, hsa-miR-185, hsa-miR-92a, hsa-miR-140-3p, hsa-miR-320a, hsa-miR-486-5p, hsa-miR-16, hsa-miR-191, hsa-miR-106b, hsa-miR-19b, and hsa-miR-30d were potential biomarkers; combinations of 10 of these miRNAs allowed us to discriminate each disease included in this study from healthy controls. These 12 miRNAs are significantly up- or downregulated in most cancers and other diseases, albeit in a cancer- or disease-specific combinatory manner. Therefore, these 12 miRNAs were also previously reported to be cancer- and disease-related miRNAs. Many disease-specific KEGG pathways were also significantly enriched by target genes of up-/downregulated miRNAs within several combinations of 10 miRNAs among these 12 miRNAs. We also selected miRNAs that could discriminate one disease from another or from healthy controls

  8. Total inhibition of (1)O2-induced oxidative damage to guanine bases of DNA/RNA by turmeric extracts.

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    Joshi, Prakash C; Li, Hsin H; Merchant, Monique; Keane, Thomas C

    2014-09-26

    The guanine base of nucleic acids is known to be very reactive towards degradation by (1)O2-induced oxidative stress. Oxidative reactions of DNA are linked to many human diseases including cancer. Among the various forms of reactive O2 species (OH, (1)O2 or O2(-)), the oxidative stress caused by (1)O2 is of particular physiologic importance because of its selectively long life in aqueous medium and its ability to diffuse through a cell membrane. In this study we investigated the degradation of a model compound guanosine (Guo) by (1)O2, which was generated by riboflavin-induced photosensitization and by molybdate ion catalyzed disproportionation of H2O2. We observed the remarkable ability of an aqueous and alcoholic extracts of Turmeric (Curcuma longa) as an extraordinary scavenger of (1)O2 to completely inhibit the degradation of Guo. The alcoholic extracts were more effective in their antioxidant activity than the corresponding water extract. This naturally occurring antioxidant offers a most economical supplement to protect biologically significant molecules from the oxidative stress induced by (1)O2. Copyright © 2014 Elsevier Inc. All rights reserved.

  9. RNA Contaminates Glycosaminoglycans Extracted from Cells and Tissues.

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    van Gemst, Jasper J; Loeven, Markus A; de Graaf, Mark J J; Berden, Jo H M; Rabelink, Ton J; Smit, Cornelis H; van der Vlag, Johan

    2016-01-01

    Glycosaminoglycans (GAGs) are linear negatively charged polysaccharides and important components of extracellular matrices and cell surface glycan layers such as the endothelial glycocalyx. The GAG family includes sulfated heparin, heparan sulfate (HS), dermatan sulfate (DS), chondroitin sulfate (CS), keratan sulfate, and non-sulfated hyaluronan. Because relative expression of GAGs is dependent on cell-type and niche, isolating GAGs from cell cultures and tissues may provide insight into cell- and tissue-specific GAG structure and functions. In our objective to obtain structural information about the GAGs expressed on a specialized mouse glomerular endothelial cell culture (mGEnC-1) we adapted a recently published GAG isolation protocol, based on cell lysis, proteinase K and DNase I digestion. Analysis of the GAGs contributing to the mGEnC-1 glycocalyx indicated a large HS and a minor CS content on barium acetate gel. However, isolated GAGs appeared resistant to enzymatic digestion by heparinases. We found that these GAG extracts were heavily contaminated with RNA, which co-migrated with HS in barium acetate gel electrophoresis and interfered with 1,9-dimethylmethylene blue (DMMB) assays, resulting in an overestimation of GAG yields. We hypothesized that RNA may be contaminating GAG extracts from other cell cultures and possibly tissue, and therefore investigated potential RNA contaminations in GAG extracts from two additional cell lines, human umbilical vein endothelial cells and retinal pigmental epithelial cells, and mouse kidney, liver, spleen and heart tissue. GAG extracts from all examined cell lines and tissues contained varying amounts of contaminating RNA, which interfered with GAG quantification using DMMB assays and characterization of GAGs by barium acetate gel electrophoresis. We therefore recommend routinely evaluating the RNA content of GAG extracts and propose a robust protocol for GAG isolation that includes an RNA digestion step.

  10. Methods of high integrity RNA extraction from cell/agarose construct.

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    Ogura, Takahiro; Tsuchiya, Akihiro; Minas, Tom; Mizuno, Shuichi

    2015-11-04

    Agarose hydrogels are widely used for three-dimensional cell scaffolding in tissue engineering and cell biology. Recently, molecular profiles have been obtained with extraction of a minimal volume of RNA using fluorescent-tagged quantitative polymerase chain reaction (qPCR), which requires high integrity RNA. However, the agarose interferes considerably with the quantity and quality of the extracted RNA. Moreover, little is known about RNA integrity when the RNA is extracted from cell/agarose construct. Thus, in order to obtain RNA of sufficient integrity, we examined various extraction methods and addressed reproducible methodologies for RNA extraction from cell/agarose constructs using spectrophotometry and microfluidic capillary electrophoresis. With various extraction methods using a mono-phasic solution of phenol and guanidine isothiocyanate, we evaluated quantity and quality of total RNA from cell/agarose construct. Extraction with solution of phenol and guanidine isothiocyanate followed by a silica based membrane filter column gave sufficient RNA integrity number, which allowed us to proceed to fluorescent-tagged qPCR for evaluating various cellular activities. The RNA extraction methods using phenol and guanidine isothiocyanate solution and a silica membrane column can be useful for obtaining high integrity RNA from cell/agarose constructs rich in polysaccharide and extracellular matrix. Our study contributes to further investigation using agarose hydrogels and other materials rich in polysaccharide in the field of cellular and tissue engineering.

  11. A Simple and Efficient RNA Extraction Method from Deep-Sea Hydrothermal Vent Chimney Structures.

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    Muto, Hisashi; Takaki, Yoshihiro; Hirai, Miho; Mino, Sayaka; Sawayama, Shigeki; Takai, Ken; Nakagawa, Satoshi

    2017-12-27

    RNA-based microbiological analyses, e.g., transcriptome and reverse transcription-quantitative PCR, require a relatively large amount of high quality RNA. RNA-based analyses on microbial communities in deep-sea hydrothermal environments often encounter methodological difficulties with RNA extraction due to the presence of unique minerals in and the low biomass of samples. In the present study, we assessed RNA extraction methods for deep-sea vent chimneys that had complex mineral compositions. Mineral-RNA adsorption experiments were conducted using mock chimney minerals and Escherichia coli total RNA solution, and showed that detectable RNA significantly decreased possibly due to adsorption onto minerals. This decrease in RNA was prevented by the addition of sodium tripolyphosphate (STPP), deoxynucleotide triphosphates (dNTPs), salmon sperm DNA, and NaOH. The addition of STPP was also effective for RNA extraction from the mixture of E. coli cells and mock chimney minerals when TRIzol reagent and the RNeasy column were used, but not when the RNeasy PowerSoil total RNA kit was used. A combination of STPP, TRIzol reagent, the RNeasy column, and sonication resulted in the highest RNA yield from a natural chimney. This indirect extraction procedure is simple, rapid, inexpensive, and may be used for large-scale RNA extraction.

  12. Optimization of RNA extraction from rat pancreatic tissue.

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    Dastgheib, Sanaz; Irajie, Cambyz; Assaei, Raheleh; Koohpeima, Farhad; Mokarram, Pooneh

    2014-05-01

    Optimized RNA extraction from tissues and cell lines consists of four main stages regardless of the method of extraction: 1) homogenizing, 2) effective denaturation of proteins from RNA, 3) inactivation of ribonuclease, and 4) removal of any DNA, protein, and carbohydrate contamination. Isolation of undamaged intact RNA is challenging when the related tissue contains high levels of RNase. Various technical difficulties occur during extraction of RNA from pancreatic tissue due to spontaneous autolysis. Since standard routine protocols yield unacceptable results in pancrease, we have designed a simple method for RNA extraction by comparing different protocols. We obtained 20-30 mg pancreatic tissues in less than 2 min from 30 rats. Several methods were performed to extract RNA from pancreatic tissue and evaluate its integrity. All methods were performed three times to obtain reproducible results. Immersing pancreatic tissue in RNA-later for 24 h at -80ºC yielded high quality RNA by using the TriPure reagent which was comparable to the commercial RNeasy Micro Kit. The quality of RNA was evaluated by spectrophotometer, electrophoresis and RT-PCR. We separated intact 28S and 18S ribosomal RNA (rRNA) when our procedure was compared with the RNeasy Micro Kit. Finally, full length of the actin gene was amplified by RT-PCR. We designed a simple, fast, cost-effective method for complete RNA extraction from the least amount of quantitatively intact pancreatic tissue.

  13. Optimization of RNA Extraction from Rat Pancreatic Tissue

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    Sanaz Dastgheib

    2014-05-01

    Full Text Available Background: Optimized RNA extraction from tissues and cell lines consists of four main stages regardless of the method of extraction: 1 homogenizing, 2 effective denaturation of proteins from RNA, 3 inactivation of ribonuclease, and 4 removal of any DNA, protein, and carbohydrate contamination. Isolation of undamaged intact RNA is challenging when the related tissue contains high levels of RNase. Various technical difficulties occur during extraction of RNA from pancreatic tissue due to spontaneous autolysis. Since standard routine protocols yield unacceptable results in pancrease, we have designed a simple method for RNA extraction by comparing different protocols. Methods: We obtained 20-30 mg pancreatic tissues in less than 2 min from 30 rats. Several methods were performed to extract RNA from pancreatic tissue and evaluate its integrity. All methods were performed three times to obtain reproducible results. Results: Immersing pancreatic tissue in RNA-later for 24 h at -80ºC yielded high quality RNA by using the TriPure reagent which was comparable to the commercial RNeasy Micro Kit. The quality of RNA was evaluated by spectrophotometer, electrophoresis and RT-PCR. We separated intact 28S and 18S ribosomal RNA (rRNA when our procedure was compared with the RNeasy Micro Kit. Finally, full length of the actin gene was amplified by RT-PCR. Conclusion: We designed a simple, fast, cost-effective method for complete RNA extraction from the least amount of quantitatively intact pancreatic tissue

  14. Extraction of low molecular weight RNA from Citrus trifolita tissues ...

    African Journals Online (AJOL)

    We employed a simple and quick method involving trizol for total RNA extraction from citrus tissues, then generation of LMW RNA using 4M LiCl, which have been successfully utilized in studies in our laboratory. Compared with traditional methods, this method is less expensive and produced high RNA yields while avoiding ...

  15. 64 original article optimization of rna extraction in mycobacterium

    African Journals Online (AJOL)

    Dr Oboro VO

    reagent for extraction of RNA was applied to macrophage infected with M. tuberculosis (H37Rv) after removing the macrophage RNA. We were able to .... The supernatants were transferred to fresh tubes containing 500 μl of phenol. The tubes ..... Method. RNA yield (μg). Number of mycobacteria used cfu/ml. Hot phenol. Nil.

  16. A two-step method for the extraction of high-quality RNA from endoscopic biopsies.

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    Wex, Thomas; Treiber, Gerhard; Lendeckel, Uwe; Malfertheiner, Peter

    2003-08-01

    The use of molecular techniques such as quantitative RT-PCR depends on the quality of cellular RNA. In particular, RNA extraction from endoscopic biopsies is difficult with respect to yield, and especially integrity. Endoscopic biopsies taken from the gastric antrum, corpus and duodenum were subjected to various RNA extraction protocols, and the RNA was used for quantitative RT-PCR. The subsequent use of two methods, (i) a phenol/chloroform extraction and (ii) a column-based extraction method, resulted in a yield of 4.5 microg total RNA per biopsy with reliable quality in 80% of samples. The quantitative RT-PCR analysis revealed that only RNA samples that clearly show both 18S- and 28S-RNA bands in agarose gel electrophoresis were suitable for quantitative RT-PCR as shown by expression of corpus-specific pepsinogen C-mRNA and the duodenum-specific multi-drug resistance protein-1 (mdr-1)-mRNA. In partially degraded RNA, pepsinogen C, mdr-1, or beta-actin mRNAs were still detectable, but the quantitative determination gave inconsistent data. The two-step method described here is a suitable option for extracting high-quality RNA from endoscopic biopsies when other standard protocols fail.

  17. Contribution of cell culture, RNA extraction, and reverse transcription to the measurement error in quantitative reverse transcription polymerase chain reaction-based gene expression quantification.

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    Combes, Jean-Damien; Grelier, Gaël; Laversanne, Matthieu; Voirin, Nicolas; Chabaud, Sylvie; Ecochard, René; Lasset, Christine; Moyret-Lalle, Caroline

    2009-10-01

    Quantitative polymerase chain reaction (qPCR) instruments are known to be reliable. However, many authors have underlined the poor reliability of the procedures that precede the measurement of gene expression--cell culture, RNA extraction, and reverse transcription. Here we quantified the measurement errors due to each step and estimated the correction that would accrue from replicating any of those steps. We measured the relative expression of the APC-11 gene (the catalytic anaphase-promoting complex/cyclosome subunit suspected to be involved in breast cancer) with step replication in 18 breast cancer cell lines. The final qPCR step was found to be reproducible (standard deviation [SD]=0.26). In comparison with the between-cell-line variability (SD=1.7), the variability due to the previous steps (cell culture, RNA extraction, and reverse transcription) was on the same order of magnitude (SD=1.2-2.0). Misclassification rates were used to assess the impact of replicating each manual procedure. The misclassification rates improved with replication of cell culture, RNA extraction, and reverse transcription (90.0, 60.9, and 61.1% decreases, respectively). The results point out a high error level in the quantification of gene expression, and these errors may stem from all steps of the procedure. The best correction would accrue from replicating cell culture.

  18. Identification of extracellular miRNA in archived serum samples by next-generation sequencing from RNA extracted using multiple methods.

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    Gautam, Aarti; Kumar, Raina; Dimitrov, George; Hoke, Allison; Hammamieh, Rasha; Jett, Marti

    2016-10-01

    miRNAs act as important regulators of gene expression by promoting mRNA degradation or by attenuating protein translation. Since miRNAs are stably expressed in bodily fluids, there is growing interest in profiling these miRNAs, as it is minimally invasive and cost-effective as a diagnostic matrix. A technical hurdle in studying miRNA dynamics is the ability to reliably extract miRNA as small sample volumes and low RNA abundance create challenges for extraction and downstream applications. The purpose of this study was to develop a pipeline for the recovery of miRNA using small volumes of archived serum samples. The RNA was extracted employing several widely utilized RNA isolation kits/methods with and without addition of a carrier. The small RNA library preparation was carried out using Illumina TruSeq small RNA kit and sequencing was carried out using Illumina platform. A fraction of five microliters of total RNA was used for library preparation as quantification is below the detection limit. We were able to profile miRNA levels in serum from all the methods tested. We found out that addition of nucleic acid based carrier molecules had higher numbers of processed reads but it did not enhance the mapping of any miRBase annotated sequences. However, some of the extraction procedures offer certain advantages: RNA extracted by TRIzol seemed to align to the miRBase best; extractions using TRIzol with carrier yielded higher miRNA-to-small RNA ratios. Nuclease free glycogen can be carrier of choice for miRNA sequencing. Our findings illustrate that miRNA extraction and quantification is influenced by the choice of methodologies. Addition of nucleic acid- based carrier molecules during extraction procedure is not a good choice when assaying miRNA using sequencing. The careful selection of an extraction method permits the archived serum samples to become valuable resources for high-throughput applications.

  19. Urinary extracellular vesicles for RNA extraction: optimization of a protocol devoid of prokaryote contamination.

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    Tataruch-Weinert, Dorota; Musante, Luca; Kretz, Oliver; Holthofer, Harry

    2016-01-01

    Urinary extracellular vesicles (UEVs) represent an ideal platform for biomarker discovery. They carry different types of RNA species, and reported profile discrepancies related to the presence/absence of 18s and 28s rRNA remain controversial. Moreover, sufficient urinary RNA yields and respective quality RNA profiles are still to be fully established. UEVs were enriched by hydrostatic filtration dialysis, and RNA content was extracted using 7 different commercially available techniques. RNA quantity was assessed using spectrophotometry and fluorometry, whilst RNA quality was determined by capillary electrophoresis. The presence of prokaryotic transcriptome was stressed when cellular RNA, as a control, was spiked into the UEVs samples before RNA extraction. The presence of bacteria in hydrostatic filtration dialysis above 1,000 kDa molecular weight cut-off and in crude urine was confirmed with growth media plates. The efficiency in removing urinary bacteria was evaluated by differential centrifugation, filtration (0.22 µm filters) and chemical pretreatment (water purification tablet). For volumes of urine >200 ml, the chemical treatment provides ease of handling without affecting vesicle integrity, protein and RNA profiles. This protocol was selected to enrich RNA with 7 methods, and its respective quality and quantity were assessed. The results were given as follows: (a) Fluorometry gave more repeatability and reproducibility than spectrophotometry to assess the RNA yields, (b) UEVs were enriched with small RNA, (c) Ribosomal RNA peaks were not observed for any RNA extraction method used and (d) RNA yield was higher for column-based method designed for urinary exosome, whilst the highest relative microRNA presence was obtained using TRIzol method. Our results show that the presence of bacteria can lead to misidentification in the electrophoresis peaks. Fluorometry is more reliable than spectrophotometry. RNA isolation method must be selected in conjunction with

  20. A micromethod for high throughput RNA extraction in forest trees

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    GREGOIRE LE PROVOST

    2007-01-01

    Full Text Available A large quantity of high quality RNA is often required in the analysis of gene expression. However, RNA extraction from samples taken from woody plants is generally complex, and represents the main limitation to study gene expression, particularly in refractory species like conifers. Standard RNA extraction protocols are available but they are highly time consuming, and not adapted to large scale extraction. Here we present a high-throughput RNA extraction protocol. This protocol was adapted to a micro-scale by modifying the classical cetyltrimethylammonium (CTAB protocol developed for pine: (i quantity of material used (100-200 mg of sample, (ii disruption of samples in microtube using a mechanical tissue disrupter, and (iii the use of SSTE buffer. One hundred samples of woody plant tissues/organs can be easily treated in two working days. An average of 15 ig of high quality RNA per sample was obtained. The RNA extracted is suitable for applications such as real time reverse transcription polymerase chain reaction, cDNA library construction or synthesis of complex targets for microarray analysis

  1. 16S rRNA Gene Sequence Analysis of Drinking Water Using RNA and DNA Extracts as Targets for Clone Library Development

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    The bacterial composition of chlorinated drinking water was analyzed using 16S rRNA gene clone libraries derived from DNA extracts of 12 samples and compared to clone libraries previously generated using RNA extracts from the same samples. Phylogenetic analysis of 761 DNA-based ...

  2. Automated extraction protocol for quantification of SARS-Coronavirus RNA in serum: an evaluation study

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    Lui Wing-bong

    2006-02-01

    Full Text Available Abstract Background We have previously developed a test for the diagnosis and prognostic assessment of the severe acute respiratory syndrome (SARS based on the detection of the SARS-coronavirus RNA in serum by real-time quantitative reverse transcriptase polymerase chain reaction (RT-PCR. In this study, we evaluated the feasibility of automating the serum RNA extraction procedure in order to increase the throughput of the assay. Methods An automated nucleic acid extraction platform using the MagNA Pure LC instrument (Roche Diagnostics was evaluated. We developed a modified protocol in compliance with the recommended biosafety guidelines from the World Health Organization based on the use of the MagNA Pure total nucleic acid large volume isolation kit for the extraction of SARS-coronavirus RNA. The modified protocol was compared with a column-based extraction kit (QIAamp viral RNA mini kit, Qiagen for quantitative performance, analytical sensitivity and precision. Results The newly developed automated protocol was shown to be free from carry-over contamination and have comparable performance with other standard protocols and kits designed for the MagNA Pure LC instrument. However, the automated method was found to be less sensitive, less precise and led to consistently lower serum SARS-coronavirus concentrations when compared with the column-based extraction method. Conclusion As the diagnostic efficiency and prognostic value of the serum SARS-CoV RNA RT-PCR test is critically associated with the analytical sensitivity and quantitative performance contributed both by the RNA extraction and RT-PCR components of the test, we recommend the use of the column-based manual RNA extraction method.

  3. Automated serial extraction of DNA and RNA from biobanked tissue specimens

    OpenAIRE

    Mathot, Lucy; Wallin, Monica; Sjöblom, Tobias

    2013-01-01

    Background: With increasing biobanking of biological samples, methods for large scale extraction of nucleic acids are in demand. The lack of such techniques designed for extraction from tissues results in a bottleneck in downstream genetic analyses, particularly in the field of cancer research. We have developed an automated procedure for tissue homogenization and extraction of DNA and RNA into separate fractions from the same frozen tissue specimen. A purpose developed magnetic bead based te...

  4. Comparison of whole blood RNA preservation tubes and novel generation RNA extraction kits for analysis of mRNA and MiRNA profiles.

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    Madlen Häntzsch

    Full Text Available BACKGROUND: Whole blood expression profiling is frequently performed using PAXgene (Qiagen or Tempus (Life Technologies tubes. Here, we compare 6 novel generation RNA isolation protocols with respect to RNA quantity, quality and recovery of mRNA and miRNA. METHODS: 3 PAXgene and 3 Tempus Tubes were collected from participants of the LIFE study with (n = 12 and without (n = 35 acute myocardial infarction (AMI. RNA was extracted with 4 manual protocols from Qiagen (PAXgene Blood miRNA Kit, Life Technologies (MagMAX for Stabilized Blood Tubes RNA Isolation Kit, and Norgen Biotek (Norgen Preserved Blood RNA Purification Kit I and Kit II, and 2 (semi-automated protocols on the QIAsymphony (Qiagen and MagMAX Express-96 Magnetic Particle Processor (Life Technologies. RNA quantity and quality was determined. For biological validation, RNA from 12 representative probands, extracted with all 6 kits (n = 72, was reverse transcribed and mRNAs (matrix metalloproteinase 9, arginase 1 and miRNAs (miR133a, miR1, shown to be altered by AMI, were analyzed. RESULTS: RNA yields were highest using the Norgen Kit I with Tempus Tubes and lowest using the Norgen Kit II with PAXgene. The disease status was the second major determinant of RNA yields (LIFE-AMI 11.2 vs. LIFE 6.7 µg, p<0.001 followed by the choice of blood collection tube. (Semi-automation reduced overall RNA extraction time but did not generally reduce hands-on-time. RNA yields and quality were comparable between manual and automated extraction protocols. mRNA expression was not affected by collection tubes and RNA extraction kits but by RT/qPCR reagents with exception of the Norgen Kit II, which led to mRNA depletion. For miRNAs, expression differences related to collection tubes (miR30b, RNA isolation (Norgen Kit II, and RT/qRT reagents (miR133a were observed. CONCLUSION: We demonstrate that novel generation RNA isolation kits significantly differed with respect to RNA recovery and affected

  5. Automated serial extraction of DNA and RNA from biobanked tissue specimens.

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    Mathot, Lucy; Wallin, Monica; Sjöblom, Tobias

    2013-08-19

    With increasing biobanking of biological samples, methods for large scale extraction of nucleic acids are in demand. The lack of such techniques designed for extraction from tissues results in a bottleneck in downstream genetic analyses, particularly in the field of cancer research. We have developed an automated procedure for tissue homogenization and extraction of DNA and RNA into separate fractions from the same frozen tissue specimen. A purpose developed magnetic bead based technology to serially extract both DNA and RNA from tissues was automated on a Tecan Freedom Evo robotic workstation. 864 fresh-frozen human normal and tumor tissue samples from breast and colon were serially extracted in batches of 96 samples. Yields and quality of DNA and RNA were determined. The DNA was evaluated in several downstream analyses, and the stability of RNA was determined after 9 months of storage. The extracted DNA performed consistently well in processes including PCR-based STR analysis, HaloPlex selection and deep sequencing on an Illumina platform, and gene copy number analysis using microarrays. The RNA has performed well in RT-PCR analyses and maintains integrity upon storage. The technology described here enables the processing of many tissue samples simultaneously with a high quality product and a time and cost reduction for the user. This reduces the sample preparation bottleneck in cancer research. The open automation format also enables integration with upstream and downstream devices for automated sample quantitation or storage.

  6. Development of an RNA extraction protocol for detection of waterborne viruses by reverse transcriptase quantitative PCR (RT-qPCR).

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    Jothikumar, N; Sobsey, M D; Cromeans, T L

    2010-10-01

    RNA extraction from environmental samples yields frequently an RNA preparation containing inhibitors of molecular reactions. Commercial RNA extraction kits commonly permit extraction of only 0.1-0.2 ml sample volume. An RNA extraction buffer (RNAX buffer) was formulated for the extraction of viral RNA from 4.0 ml using a silica column based protocol. To evaluate the RNAX buffer based protocol, we used hepatitis A virus (HAV) and coxsackievirus B3 (CVB3) to monitor the RNA extraction efficiency from environmental samples. For evaluation of viral RNA recovery from water concentrates which were prepared from river and pond water by PEG concentration, serial ten fold dilutions of two waterborne viruses were added to the water concentrates for evaluation by quantitative detection. Quantitative recovery of HAV and CVB3 was determined by reverse transcriptase quantitative real-time PCR (RT-qPCR). The extracted RNA was compatible with RT-qPCR and sensitivity of detection of 0.8PFU per reaction was found with RNAX buffer and the developed protocol. This level of sensitivity was obtained using viral RNA extracted from 4.0 ml of an inoculated water sample concentrate. The RNAX buffer developed in this study could be applicable to the detection of other pathogens in water and food. Published by Elsevier B.V.

  7. The importance of tissue specificity for RNA-seq: highlighting the errors of composite structure extractions.

    Science.gov (United States)

    Johnson, Brian R; Atallah, Joel; Plachetzki, David C

    2013-08-28

    A composite biological structure, such as an insect head or abdomen, contains many internal structures with distinct functions. Composite structures are often used in RNA-seq studies, though it is unclear how expression of the same gene in different tissues and structures within the same structure affects the measurement (or even utility) of the resulting patterns of gene expression. Here we determine how complex composite tissue structure affects measures of gene expression using RNA-seq. We focus on two structures in the honey bee (the sting gland and digestive tract) both contained within one larger structure, the whole abdomen. For each of the three structures, we used RNA-seq to identify differentially expressed genes between two developmental stages, nurse bees and foragers. Based on RNA-seq for each structure-specific extraction, we found that RNA-seq with composite structures leads to many false negatives (genes strongly differentially expressed in particular structures which are not found to be differentially expressed within the composite structure). We also found a significant number of genes with one pattern of differential expression in the tissue-specific extraction, and the opposite in the composite extraction, suggesting multiple signals from such genes within the composite structure. We found these patterns for different classes of genes including transcription factors. Many RNA-seq studies currently use composite extractions, and even whole insect extractions, when tissue and structure specific extractions are possible. This is due to the logistical difficultly of micro-dissection and unawareness of the potential errors associated with composite extractions. The present study suggests that RNA-seq studies of composite structures are prone to false negatives and difficult to interpret positive signals for genes with variable patterns of local expression. In general, our results suggest that RNA-seq on large composite structures should be avoided

  8. Comparison of RNA extraction methods in Thai aromatic coconut water

    Directory of Open Access Journals (Sweden)

    Nopporn Jaroonchon

    2015-10-01

    Full Text Available Many researches have reported that nucleic acid in coconut water is in free form and at very low yields which makes it difficult to process in molecular studies. Our research attempted to compare two extraction methods to obtain a higher yield of total RNA in aromatic coconut water and monitor its change at various fruit stages. The first method used ethanol and sodium acetate as reagents; the second method used lithium chloride. We found that extraction using only lithium chloride gave a higher total RNA yield than the method using ethanol to precipitate nucleic acid. In addition, the total RNA from both methods could be used in amplification of betaine aldehyde dehydrogenase2 (Badh2 genes, which is involved in coconut aroma biosynthesis, and could be used to perform further study as we expected. From the molecular study, the nucleic acid found in coconut water increased with fruit age.

  9. Urinary extracellular vesicles for RNA extraction: optimization of a protocol devoid of prokaryote contamination

    Directory of Open Access Journals (Sweden)

    Dorota Tataruch-Weinert

    2016-06-01

    Full Text Available Background: Urinary extracellular vesicles (UEVs represent an ideal platform for biomarker discovery. They carry different types of RNA species, and reported profile discrepancies related to the presence/absence of 18s and 28s rRNA remain controversial. Moreover, sufficient urinary RNA yields and respective quality RNA profiles are still to be fully established. Methods: UEVs were enriched by hydrostatic filtration dialysis, and RNA content was extracted using 7 different commercially available techniques. RNA quantity was assessed using spectrophotometry and fluorometry, whilst RNA quality was determined by capillary electrophoresis. Results: The presence of prokaryotic transcriptome was stressed when cellular RNA, as a control, was spiked into the UEVs samples before RNA extraction. The presence of bacteria in hydrostatic filtration dialysis above 1,000 kDa molecular weight cut-off and in crude urine was confirmed with growth media plates. The efficiency in removing urinary bacteria was evaluated by differential centrifugation, filtration (0.22 µm filters and chemical pretreatment (water purification tablet. For volumes of urine >200 ml, the chemical treatment provides ease of handling without affecting vesicle integrity, protein and RNA profiles. This protocol was selected to enrich RNA with 7 methods, and its respective quality and quantity were assessed. The results were given as follows: (a Fluorometry gave more repeatability and reproducibility than spectrophotometry to assess the RNA yields, (b UEVs were enriched with small RNA, (c Ribosomal RNA peaks were not observed for any RNA extraction method used and (d RNA yield was higher for column-based method designed for urinary exosome, whilst the highest relative microRNA presence was obtained using TRIzol method. Conclusion: Our results show that the presence of bacteria can lead to misidentification in the electrophoresis peaks. Fluorometry is more reliable than spectrophotometry. RNA

  10. Molecular Techniques for Dicistrovirus Detection without RNA Extraction or Purification

    Directory of Open Access Journals (Sweden)

    Jailson F. B. Querido

    2013-01-01

    Full Text Available Dicistroviridae is a new family of small, nonenveloped, and +ssRNA viruses pathogenic to both beneficial arthropods and insect pests as well. Triatoma virus (TrV, a dicistrovirus, is a pathogen of Triatoma infestans (Hemiptera: Reduviidae, one of the main vectors of Chagas disease. In this work, we report a single-step method to identify TrV, a dicistrovirus, isolated from fecal samples of triatomines. The identification method proved to be quite sensitive, even without the extraction and purification of RNA virus.

  11. Extraction of total RNA in the developing chicken forebrain

    Directory of Open Access Journals (Sweden)

    Sayed Rasoul Zaker

    2014-01-01

    Full Text Available Background: Gene expression of Gama-Aminobutyric acid (GABA A receptor subunits may change during development. Procedures in molecular biology are required to understand the gene expression profile GABA A R in chicken. The outcome of the results depends on good-quality high-molecular-weight RNA. Several procedures can be used to isolate RNA from the brain of chicken; however, most of them are time-consuming and require disruption of cells or freeze and thaw in the presence of RNase inhibitors. The aim of this experiment was isolation of RNA from chicken embryonic brain tissues using appropriate RNA extraction kit. Materials and Methods: Fertilized eggs from Ross breed (Gallus gallus were incubated at 38°C and 60% relative humidity in a forced-draft incubator and were turned every 3 h. After 3, 7, 14 and 20 days of incubation, eggs were cooled on ice to induce deep anesthesia. Then whole brains were dissected out. As brains could not be excised in a reproducible way from earlier embryos (embryonic days 4 and 6, whole heads were collected. Chicken embryos between day 7 to 20 and 1 day after birth were decapitated, and their brains removed. Samples were immediately inserted into lysis buffer and stored at −70°C. Total RNA was isolated and a contaminating genomic deoxyribonucleic acid (DNA was digested. RNA quality was checked using gel electrophoresis. Results: We obtained 52 mg/ml to 745 mg/ml with A260/280 1.7-2.2. Only high-quality RNA, with no signs of degradation, was used for further experiments. Conclusion: In conclusion, protocol was found to be suitable for the isolation of total RNA from embryonic chicken cells.

  12. RNA extraction from decaying wood for (meta)transcriptomic analyses.

    Science.gov (United States)

    Adamo, Martino; Voyron, Samuele; Girlanda, Mariangela; Marmeisse, Roland

    2017-10-01

    Wood decomposition is a key step of the terrestrial carbon cycle and is of economic importance. It is essentially a microbiological process performed by fungi and to an unknown extent by bacteria. To gain access to the genes expressed by the diverse microbial communities participating in wood decay, we developed an RNA extraction protocol from this recalcitrant material rich in polysaccharides and phenolic compounds. This protocol was implemented on 22 wood samples representing as many tree species from 11 plant families in the Angiosperms and Gymnosperms. RNA was successfully extracted from all samples and converted into cDNAs from which were amplified both fungal and bacterial protein coding genes, including genes encoding hydrolytic enzymes participating in lignocellulose hydrolysis. This protocol applicable to a wide range of decomposing wood types represents a first step towards a metatranscriptomic analysis of wood degradation under natural conditions.

  13. Extraction of HCV-RNA from Plasma Samples: Development towards Semiautomation

    Directory of Open Access Journals (Sweden)

    Imran Amin

    2015-01-01

    Full Text Available A semiautomated extraction protocol of HCV-RNA using Favorgen RNA extraction kit has been developed. The kit provided protocol was modified by replacing manual spin steps with vacuum filtration. The assay performance was evaluated by real-time qPCR based on Taqman technology. Assay linearity was confirmed with the serial dilutions of RTA (Turkey containing 1 × (106, 105, 104, and 103 IU mL−1. Comparison of test results obtained by two extraction methods showed a good correlation (r=0.95, n=30 with detection limit of 102 IU mL−1. The semiautomated vacuum filtration based protocol demonstrated high throughput: 35 minutes for the extraction of a batch of 30 samples (150 µL each with reduced labor, time, waste, and cost. Performance characteristics of semiautomated system make it suitable for use in diagnostic purpose and viral load determinations.

  14. Extraction of HCV-RNA from Plasma Samples: Development towards Semiautomation.

    Science.gov (United States)

    Amin, Imran; Jabbar, Tania; Niazi, Fawad; Akhtar, Muhammad Saeed

    2015-01-01

    A semiautomated extraction protocol of HCV-RNA using Favorgen RNA extraction kit has been developed. The kit provided protocol was modified by replacing manual spin steps with vacuum filtration. The assay performance was evaluated by real-time qPCR based on Taqman technology. Assay linearity was confirmed with the serial dilutions of RTA (Turkey) containing 1 × (10(6), 10(5), 10(4), and 10(3)) IU mL(-1). Comparison of test results obtained by two extraction methods showed a good correlation (r = 0.95, n = 30) with detection limit of 10(2) IU mL(-1). The semiautomated vacuum filtration based protocol demonstrated high throughput: 35 minutes for the extraction of a batch of 30 samples (150 µL each) with reduced labor, time, waste, and cost. Performance characteristics of semiautomated system make it suitable for use in diagnostic purpose and viral load determinations.

  15. Efficient and scalable serial extraction of DNA and RNA from frozen tissue samples.

    Science.gov (United States)

    Mathot, Lucy; Lindman, Monica; Sjöblom, Tobias

    2011-01-07

    Advances in cancer genomics have created a demand for scalable sample processing. We here present a process for serial extraction of nucleic acids from the same frozen tissue sample based on magnetic silica particles. The process is automation friendly with high recoveries of pure DNA and RNA suitable for analysis.

  16. Reliability and performance of commercial RNA and DNA extraction kits for FFPE tissue cores.

    Science.gov (United States)

    Patel, Palak G; Selvarajah, Shamini; Guérard, Karl-Philippe; Bartlett, John M S; Lapointe, Jacques; Berman, David M; Okello, John B A; Park, Paul C

    2017-01-01

    Cancer biomarker studies often require nucleic acid extraction from limited amounts of formalin-fixed, paraffin-embedded (FFPE) tissues, such as histologic sections or needle cores. A major challenge is low quantity and quality of extracted nucleic acids, which can limit our ability to perform genetic analyses, and have a significant influence on overall study design. This study was aimed at identifying the most reliable and reproducible method of obtaining sufficient high-quality nucleic acids from FFPE tissues. We compared the yield and quality of nucleic acids from 0.6-mm FFPE prostate tissue cores across 16 DNA and RNA extraction protocols, using 14 commercially available kits. Nucleic acid yield was determined by fluorometry, and quality was determined by spectrophotometry. All protocols yielded nucleic acids in quantities that are compatible with downstream molecular applications. However, the protocols varied widely in the quality of the extracted RNA and DNA. Four RNA and five DNA extraction protocols, including protocols from two kits for dual-extraction of RNA and DNA from the same tissue source, were prioritized for further quality assessment based on the yield and purity of their products. Specifically, their compatibility with downstream reactions was assessed using both NanoString nCounter gene expression assays and reverse-transcriptase real-time PCR for RNA, and methylation-specific PCR assays for DNA. The kit deemed most suitable for FFPE tissue was the AllPrep kit by Qiagen because of its yield, quality, and ability to purify both RNA and DNA from the same sample, which would be advantageous in biomarker studies.

  17. Evaluation of RNA extraction methods in rice and their application in expression analysis of resistance genes against Magnaporthe oryzae

    OpenAIRE

    Parisa Azizi; Mohd Y. Rafii; Maziah Mahmood; Siti Nor Akmar Abdullah; Mohamed Musa Hanafi; Muhammad Abdul Latif; Mahbod Sahebi; Sadegh Ashkani

    2017-01-01

    Extraction of RNA of high quality and integrity is essential for gene expression studies and all downstream RNA-based techniques. The leaves of 16 merit Malaysian rice varieties were used to isolate total RNA using five different methods. The quantity, quality and integrity of extracted RNA were confirmed using three different means. The ratios of A260/280 ranged from 2.12 to 2.20. Electrophoresis (1.5% agarose gel) was performed, illustrating intact and sharp bands representing the 28S, 18S,...

  18. Comparison of three different kits for extraction of high-quality RNA from frozen blood

    OpenAIRE

    Kim, Jin-Hee; Jin, Hyeon-Ok; Park, Jin-Ah; Chang, Yoon Hwan; Hong, Young Jun; Lee, Jin Kyung

    2014-01-01

    Extraction of high-quality RNA is a crucial step in gene expression profiling. To achieve optimal RNA extraction from frozen blood, the performance of three RNA extraction kits- TRI reagent, PAXgene blood RNA system (PAXgene) and NucleoSpin RNA blood kit (NucleoSpin)- was evaluated. Fifteen blood specimens collected in tubes containing potassium ethylenediaminetetraacetic acid (EDTA) and stored at −80°C for approximately 5 years were randomly selected. The yield and purity of RNA, RIN (RNA in...

  19. An Optimized Method for Extracting Bacterial RNA from Mouse Skin Tissue Colonized byMycobacterium ulcerans.

    Science.gov (United States)

    Robbe-Saule, Marie; Babonneau, Jérémie; Sismeiro, Odile; Marsollier, Laurent; Marion, Estelle

    2017-01-01

    Bacterial transcriptome analyses during host colonization are essential to decipher the complexity of the relationship between the bacterium and its host. RNA sequencing (RNA-seq) is a promising approach providing valuable information about bacterial adaptation, the host response and, in some cases, mutual tolerance underlying crosstalk, as recently observed in the context of Mycobacterium ulcerans infection. Buruli ulcer is caused by M. ulcerans . This neglected disease is the third most common mycobacterial disease worldwide. Without treatment, M. ulcerans provokes massive skin ulcers. A healing process may be observed in 5% of Buruli ulcer patients several months after the initiation of disease. This spontaneous healing process suggests that some hosts can counteract the development of the lesions caused by M. ulcerans . Deciphering the mechanisms involved in this process should open up new treatment possibilities. To this end, we recently developed the first mouse model for studies of the spontaneous healing process. We have shown that the healing process is based on mutual tolerance between the bacterium and its host. In this context, RNA-seq seems to be the most appropriate method for deciphering bacterial adaptation. However, due to the low bacterial load in host tissues, the isolation of mycobacterial RNA from skin tissue for RNA-seq analysis remains challenging. We developed a method for extracting and purifying mycobacterial RNA whilst minimizing the amount of host RNA in the sample. This approach was based on the extraction of bacterial RNA by a differential lysis method. The challenge in the development of this method was the choice of a lysis system favoring the removal of host RNA without damage to the bacterial cells. We made use of the thick, resistant cell wall of M. ulcerans to achieve this end.

  20. ncRNA-class Web Tool: Non-coding RNA feature extraction and pre-miRNA classification web tool

    KAUST Repository

    Kleftogiannis, Dimitrios A.

    2012-01-01

    Until recently, it was commonly accepted that most genetic information is transacted by proteins. Recent evidence suggests that the majority of the genomes of mammals and other complex organisms are in fact transcribed into non-coding RNAs (ncRNAs), many of which are alternatively spliced and/or processed into smaller products. Non coding RNA genes analysis requires the calculation of several sequential, thermodynamical and structural features. Many independent tools have already been developed for the efficient calculation of such features but to the best of our knowledge there does not exist any integrative approach for this task. The most significant amount of existing work is related to the miRNA class of non-coding RNAs. MicroRNAs (miRNAs) are small non-coding RNAs that play a significant role in gene regulation and their prediction is a challenging bioinformatics problem. Non-coding RNA feature extraction and pre-miRNA classification Web Tool (ncRNA-class Web Tool) is a publicly available web tool ( http://150.140.142.24:82/Default.aspx ) which provides a user friendly and efficient environment for the effective calculation of a set of 58 sequential, thermodynamical and structural features of non-coding RNAs, plus a tool for the accurate prediction of miRNAs. © 2012 IFIP International Federation for Information Processing.

  1. Comparison of three different kits for extraction of high-quality RNA from frozen blood.

    Science.gov (United States)

    Kim, Jin-Hee; Jin, Hyeon-Ok; Park, Jin-Ah; Chang, Yoon Hwan; Hong, Young Jun; Lee, Jin Kyung

    2014-01-01

    Extraction of high-quality RNA is a crucial step in gene expression profiling. To achieve optimal RNA extraction from frozen blood, the performance of three RNA extraction kits- TRI reagent, PAXgene blood RNA system (PAXgene) and NucleoSpin RNA blood kit (NucleoSpin)- was evaluated. Fifteen blood specimens collected in tubes containing potassium ethylenediaminetetraacetic acid (EDTA) and stored at -80°C for approximately 5 years were randomly selected. The yield and purity of RNA, RIN (RNA integrity number) values and cycle threshold (Ct) values were assessed. Mean RNA yields with TRI reagent, PAXgene and NucleoSpin were 15.6 ± 8.7 μg/ml, 3.1 ± 1.7 μg/ml and 9.0 ± 5.5 μg/ml, respectively. Mean A260/280 ratios of RNA for the three kits were 1.7 ± 0.1, 2.0 ± 0.1, and 2.0 ± 0.0, and mean RIN values recorded as 3.2 ± 0.8, 6.0 ± 1.1, and 6.4 ± 0.9, respectively. The Ct values of housekeeping genes, 18S rRNA, β-actin, RPLP0 and HPRT1, were as follows: TRI reagent (19.2 ± 1.6, 30.6 ± 1.8, 29.9 ± 1.4 and 36.3 ± 1.3), PAXgene 16.6 ± 1.4, 26.4 ± 1.3, 28.2 ± 1.8 and 33.8 ± 1.1), and NucleoSpin (16.3 ± 1.5, 27.2 ± 1.3, 27.0 ± 1.6 and 32.9 ± 1.6). RNA yield using TRI reagent was 1.7 times higher than that with NucleoSpin and 5 times higher than that with PAXgene. However, the purity and integrity of TRI-extracted RNA was lower than that extracted with PAXgene and NucleoSpin. Moreover, the Ct values of housekeeping genes after extraction with TRI reagent were approximately 1.7-3.8 times higher than those obtained with PAXgene and NucleoSpin. The PAXgene and NucleoSpin kits produced similar results in terms of RNA purity and integrity and subsequent gene amplification. However, RNA yields from NucleoSpin were 2.9-fold higher, compared to PAXgene. Based on these findings, we conclude that NucleoSpin is the most effective kit for extraction of abundant and high

  2. Construction and analysis of cardiac hypertrophy-associated lncRNA-mRNA network based on competitive endogenous RNA reveal functional lncRNAs in cardiac hypertrophy.

    Science.gov (United States)

    Song, Chao; Zhang, Jian; Liu, Yan; Pan, Hao; Qi, Han-Ping; Cao, Yong-Gang; Zhao, Jian-Mei; Li, Shang; Guo, Jing; Sun, Hong-Li; Li, Chun-Quan

    2016-03-08

    Cardiac hypertrophy (CH) could increase cardiac after-load and lead to heart failure. Recent studies have suggested that long non-coding RNA (lncRNA) played a crucial role in the process of the cardiac hypertrophy, such as Mhrt, TERMINATOR. Some studies have further found a new interacting mechanism, competitive endogenous RNA (ceRNA), of which lncRNA could interact with micro-RNAs (miRNA) and indirectly interact with mRNAs through competing interactions. However, the mechanism of ceRNA regulated by lncRNA in the CH remained unclear. In our study, we generated a global triple network containing mRNA, miRNA and lncRNA, and extracted a CH related lncRNA-mRNA network (CHLMN) through integrating the data from starbase, miRanda database and gene expression profile. Based on the ceRNA mechanism, we analyzed the characters of CHLMN and found that 3 lncRNAs (SLC26A4-AS1, RP11-344E13.3 and MAGI1-IT1) were high related to CH. We further performed cluster module analysis and random walk with restart for the CHLMN, finally 14 lncRNAs had been discovered as the potential CH related disease genes. Our results showed that lncRNA played an important role in the CH and could shed new light to the understanding underlying mechanisms of the CH.

  3. Extracting microRNA-gene relations from biomedical literature using distant supervision.

    Directory of Open Access Journals (Sweden)

    Andre Lamurias

    Full Text Available Many biomedical relation extraction approaches are based on supervised machine learning, requiring an annotated corpus. Distant supervision aims at training a classifier by combining a knowledge base with a corpus, reducing the amount of manual effort necessary. This is particularly useful for biomedicine because many databases and ontologies have been made available for many biological processes, while the availability of annotated corpora is still limited. We studied the extraction of microRNA-gene relations from text. MicroRNA regulation is an important biological process due to its close association with human diseases. The proposed method, IBRel, is based on distantly supervised multi-instance learning. We evaluated IBRel on three datasets, and the results were compared with a co-occurrence approach as well as a supervised machine learning algorithm. While supervised learning outperformed on two of those datasets, IBRel obtained an F-score 28.3 percentage points higher on the dataset for which there was no training set developed specifically. To demonstrate the applicability of IBRel, we used it to extract 27 miRNA-gene relations from recently published papers about cystic fibrosis. Our results demonstrate that our method can be successfully used to extract relations from literature about a biological process without an annotated corpus. The source code and data used in this study are available at https://github.com/AndreLamurias/IBRel.

  4. A method for high-quality RNA extraction from tall fescue | Zhen ...

    African Journals Online (AJOL)

    The isolation of high-quality RNA was a precondition in molecular biology research of tall fescue. Two common approaches were adopted for the total RNA extraction by using leaves of tall fescue as the material in this experiment in order to seek the optimized total RNA extraction method of tall fescue, as well as the ...

  5. An alternate method for DNA and RNA extraction from clotted blood.

    Science.gov (United States)

    Zakaria, Z; Umi, S H; Mokhtar, S S; Mokhtar, U; Zaiharina, M Z; Aziz, A T A; Hoh, B P

    2013-02-04

    We developed an alternative method to extract DNA and RNA from clotted blood for genomic and molecular investigations. A combination of the TRIzol method and the QIAamp spin column were used to extract RNA from frozen clotted blood. Clotted blood was sonicated and then the QIAamp DNA Blood Mini Kit was used for DNA extraction. Extracted DNA and RNA were adequate for gene expression analysis and copy number variation (CNV) genotyping, respectively. The purity of the extracted RNA and DNA was in the range of 1.8-2.0, determined by absorbance ratios of A(260):A(280). Good DNA and RNA integrity were confirmed using gel electrophoresis and automated electrophoresis. The extracted DNA was suitable for qPCR and microarrays for CNV genotyping, while the extracted RNA was adequate for gene analysis using RT-qPCR.

  6. Automated Device for Asynchronous Extraction of RNA, DNA, or Protein Biomarkers from Surrogate Patient Samples.

    Science.gov (United States)

    Bitting, Anna L; Bordelon, Hali; Baglia, Mark L; Davis, Keersten M; Creecy, Amy E; Short, Philip A; Albert, Laura E; Karhade, Aditya V; Wright, David W; Haselton, Frederick R; Adams, Nicholas M

    2016-12-01

    Many biomarker-based diagnostic methods are inhibited by nontarget molecules in patient samples, necessitating biomarker extraction before detection. We have developed a simple device that purifies RNA, DNA, or protein biomarkers from complex biological samples without robotics or fluid pumping. The device design is based on functionalized magnetic beads, which capture biomarkers and remove background biomolecules by magnetically transferring the beads through processing solutions arrayed within small-diameter tubing. The process was automated by wrapping the tubing around a disc-like cassette and rotating it past a magnet using a programmable motor. This device recovered biomarkers at ~80% of the operator-dependent extraction method published previously. The device was validated by extracting biomarkers from a panel of surrogate patient samples containing clinically relevant concentrations of (1) influenza A RNA in nasal swabs, (2) Escherichia coli DNA in urine, (3) Mycobacterium tuberculosis DNA in sputum, and (4) Plasmodium falciparum protein and DNA in blood. The device successfully extracted each biomarker type from samples representing low levels of clinically relevant infectivity (i.e., 7.3 copies/µL of influenza A RNA, 405 copies/µL of E. coli DNA, 0.22 copies/µL of TB DNA, 167 copies/µL of malaria parasite DNA, and 2.7 pM of malaria parasite protein). © 2015 Society for Laboratory Automation and Screening.

  7. Comparison of methods for miRNA extraction from plasma and quantitative recovery of RNA from plasma and cerebrospinal fluid

    Directory of Open Access Journals (Sweden)

    Melissa A McAlexander

    2013-05-01

    Full Text Available Interest in extracellular RNA has intensified as evidence accumulates that these molecules may be useful as indicators of a wide variety of biological conditions. To establish specific extracellular RNA molecules as clinically relevant biomarkers, reproducible recovery from biological samples and reliable measurements of the isolated RNA are paramount. Towards these ends, careful and rigorous comparisons of technical procedures are needed at all steps from sample handling to RNA isolation to RNA measurement protocols. In the investigations described in this methods paper, RT-qPCR was used to examine the apparent recovery of specific endogenous miRNAs and a spiked-in synthetic RNA from blood plasma samples. RNA was isolated using several widely used RNA isolation kits, with or without the addition of glycogen as a carrier. Kits examined included total RNA isolation systems that have been commercially available for several years and commonly adapted for extraction of biofluid RNA, as well as more recently introduced biofluids-specific RNA methods. Our conclusions include the following: some RNA isolation methods appear to be superior to others for the recovery of RNA from biological fluids; addition of a carrier molecule seems to be beneficial for some but not all isolation methods; and partially or fully quantitative recovery of RNA is observed from increasing volumes of plasma and cerebrospinal fluid.

  8. Feature-Based and String-Based Models for Predicting RNA-Protein Interaction

    Directory of Open Access Journals (Sweden)

    Donald Adjeroh

    2018-03-01

    Full Text Available In this work, we study two approaches for the problem of RNA-Protein Interaction (RPI. In the first approach, we use a feature-based technique by combining extracted features from both sequences and secondary structures. The feature-based approach enhanced the prediction accuracy as it included much more available information about the RNA-protein pairs. In the second approach, we apply search algorithms and data structures to extract effective string patterns for prediction of RPI, using both sequence information (protein and RNA sequences, and structure information (protein and RNA secondary structures. This led to different string-based models for predicting interacting RNA-protein pairs. We show results that demonstrate the effectiveness of the proposed approaches, including comparative results against leading state-of-the-art methods.

  9. RNA-based therapies for genodermatoses

    NARCIS (Netherlands)

    Bornert, Olivier; Peking, Patricia; Bremer, Jeroen; Koller, Ulrich; van den Akker, Peter C.; Aartsma-Rus, Annemieke; Pasmooij, Anna M. G.; Murauer, Eva M.; Nystroem, Alexander

    Genetic disorders affecting the skin, genodermatoses, constitute a large and heterogeneous group of diseases, for which treatment is generally limited to management of symptoms. RNA-based therapies are emerging as a powerful tool to treat genodermatoses. In this review, we discuss in detail RNA

  10. Single-step method of RNA isolation by acid guanidinium thiocyanate-phenol-chloroform extraction.

    Science.gov (United States)

    Chomczynski, P; Sacchi, N

    1987-04-01

    A new method of total RNA isolation by a single extraction with an acid guanidinium thiocyanate-phenol-chloroform mixture is described. The method provides a pure preparation of undegraded RNA in high yield and can be completed within 4 h. It is particularly useful for processing large numbers of samples and for isolation of RNA from minute quantities of cells or tissue samples.

  11. Extraction of low molecular weight RNA from Citrus trifolita tissues ...

    African Journals Online (AJOL)

    Jane

    2010-12-20

    Dec 20, 2010 ... reaction (RT-PCR) and Northern blotting. Key words: Citrus, low molecular weight RNA, trizol reagent, 4 M LiCl, microRNAs. INTRODUCTION. Low molecular weight RNA (LMW RNA) consists of several components with microRNAs (miRNAs) being among the important ones. miRNAs are endogenous 19-.

  12. Evaluation of RNA extraction methods in rice and their application in expression analysis of resistance genes against Magnaporthe oryzae

    Directory of Open Access Journals (Sweden)

    Parisa Azizi

    2017-01-01

    Full Text Available Extraction of RNA of high quality and integrity is essential for gene expression studies and all downstream RNA-based techniques. The leaves of 16 merit Malaysian rice varieties were used to isolate total RNA using five different methods. The quantity, quality and integrity of extracted RNA were confirmed using three different means. The ratios of A260/280 ranged from 2.12 to 2.20. Electrophoresis (1.5% agarose gel was performed, illustrating intact and sharp bands representing the 28S, 18S, 5.8S and 5S ribosomal subunits of RNA, presenting intact RNA. RNA quality was verified using semi-quantitative polymerase chain reaction (sqPCR. The objective of this study was to identify different genes involved in the resistance of rice plants using high-quality RNA extracted 31 h after inoculation of Magnaporthe oryzae pathotype P7.2. The expression levels of eight blast resistance genes, Pikh, Pib, Pita, Pi21, Pi9, Os11gRGA8, OsWRKY22 and OsWRKY45, were evaluated by real-time PCR (RT-PCR. Real-time PCR was performed to identify candidate genes using RNA extracted by the TRIzol method, which showed the highest score compared with other methods in terms of RNA quantity, purity and integrity. In addition, the results of real-time PCR confirmed that the up-regulation of seven blast resistance genes may confer stronger resistance for the MR 276 variety against M. oryzae pathotype P7.2.

  13. Improved RNA extraction method using the BioMasher and BioMasher power-plus.

    Science.gov (United States)

    Yamamoto, Takuji; Nakashima, Kentaro; Maruta, Yukio; Kiriyama, Tomomi; Sasaki, Michi; Sugiyama, Shunpei; Suzuki, Kana; Fujisaki, Hitomi; Sasaki, Jun; Kaku-Ushiki, Yuko; Tanida, Masatoshi; Irie, Shinkichi; Hattori, Shunji

    2012-12-01

    The BioMasher is a disposable homogenizer that was developed to homogenize bovine brain tissue for bovine spongiform encephalopathy diagnosis. Capable of preventing the biohazard risk from infectious samples, it also prevents cross-contamination among samples. The BioMasher is thus widely used in biochemical research, especially for RNA extraction. Here, we tested a novel BioMasher application for RNA extraction from animal and plant tissues. We also developed a grinding machine specific for the BioMasher, named the BioMasher Power-Plus. We developed RNA extraction protocols using the BioMasher combined with the BioMasher Power-Plus. We compared RNA extraction efficiency of the BioMasher with that of the FastPrep and the glass homogenizer. Though the RNA extraction efficiency by the BioMasher was nearly equivalent to that of the FastPrep and the glass homogenizer, sample preparation time was shorter for the BioMasher. The utility of RNA extraction by the BioMasher was examined in mouse, rat, and tomato tissue samples. In the rodent tissues, the highest extraction efficiency of total RNA was from liver, with lowest efficiency from fibrous tissues such as muscle. The quality of extracted total RNA was confirmed by agarose gel electrophoresis which produced highly visible clear bands of 18S and 28S rRNAs. Reproducibility among different operators in RNA extraction from tomato roots was improved by using the BioMasher Power-Plus. The BioMasher and BioMasher Power-Plus provide an effective and easy homogenization method for total RNA extraction from some rodent and plant tissues.

  14. Comparison of two methods for RNA extraction from the nucleus pulposus of intervertebral discs.

    Science.gov (United States)

    Gan, M F; Yang, H L; Qian, J L; Wu, C S; Yuan, C X; Li, X F; Zou, J

    2016-06-03

    RNA extraction from the nucleus pulposus of intervertebral discs has been extensively used in orthopedic studies. We compared two methods for extracting RNA from the nucleus pulposus: liquid nitrogen grinding and enzyme digestion. The RNA was detected by agarose gel electrophoresis, and the purity was evaluated by absorbance ratio using a spectrophotometer. Glyceraldehyde 3-phosphate dehydrogenase (GAPDH) expression was assayed by reverse transcription-polymerase chain reaction (RT-PCR). Thirty human lumbar intervertebral discs were used in this study. The liquid nitrogen-grinding method was used for RNA extraction from 15 samples, and the mean RNA concentration was 491.04 ± 44.16 ng/mL. The enzyme digestion method was used on 15 samples, and the mean RNA concentration was 898.42 ± 38.64 ng/mL. The statistical analysis revealed that there was a significant difference in concentration between the different methods. Apparent 28S, 18S, and 5S bands were detectable in RNA extracted using the enzyme digestion method, whereas no 28S or 18S bands were detected in RNA extracted using the liquid nitrogen-grinding method. The GAPDH band was visible, and no non-specific band was detected in the RT-PCR assay by the enzyme digestion method. Therefore, the enzyme digestion method is an efficient and easy method for RNA extraction from the nucleus pulposus of intervertebral discs for further intervertebral disc degeneration-related studies.

  15. Evolution of RNA-Based Networks.

    Science.gov (United States)

    Stadler, Peter F

    2016-01-01

    RNA molecules have served for decades as a paradigmatic example of molecular evolution that is tractable both in in vitro experiments and in detailed computer simulation. The adaptation of RNA sequences to external selection pressures is well studied and well understood. The de novo innovation or optimization of RNA aptamers and riboswitches in SELEX experiments serves as a case in point. Likewise, fitness landscapes building upon the efficiently computable RNA secondary structures have been a key toward understanding realistic fitness landscapes. Much less is known, however, on models in which multiple RNAs interact with each other, thus actively influencing the selection pressures acting on them. From a computational perspective, RNA-RNA interactions can be dealt with by same basic methods as the folding of a single RNA molecule, although many details become more complicated. RNA-RNA interactions are frequently employed in cellular regulation networks, e.g., as miRNA bases mRNA silencing or in the modulation of bacterial mRNAs by small, often highly structured sRNAs. In this chapter, we summarize the key features of networks of replicators. We highlight the differences between quasispecies-like models describing templates copied by an external replicase and hypercycle similar to autocatalytic replicators. Two aspects are of importance: the dynamics of selection within a population, usually described by conventional dynamical systems, and the evolution of replicating species in the space of chemical types. Product inhibition plays a key role in modulating selection dynamics from survival of the fittest to extinction of unfittest. The sequence evolution of replicators is rather well understood as approximate optimization in a fitness landscape for templates that is shaped by the sequence-structure map of RNA. Some of the properties of this map, in particular shape space covering and extensive neutral networks, give rise to evolutionary patterns such as drift

  16. RNA preservation agents and nucleic acid extraction method bias perceived bacterial community composition.

    Directory of Open Access Journals (Sweden)

    Ann McCarthy

    Full Text Available Bias is a pervasive problem when characterizing microbial communities. An important source is the difference in lysis efficiencies of different populations, which vary depending on the extraction protocol used. To avoid such biases impacting comparisons between gene and transcript abundances in the environment, the use of one protocol that simultaneously extracts both types of nucleic acids from microbial community samples has gained popularity. However, knowledge regarding tradeoffs to combined nucleic acid extraction protocols is limited, particularly regarding yield and biases in the observed community composition. Here, we evaluated a commercially available protocol for simultaneous extraction of DNA and RNA, which we adapted for freshwater microbial community samples that were collected on filters. DNA and RNA yields were comparable to other commonly used, but independent DNA and RNA extraction protocols. RNA protection agents benefited RNA quality, but decreased DNA yields significantly. Choice of extraction protocol influenced the perceived bacterial community composition, with strong method-dependent biases observed for specific phyla such as the Verrucomicrobia. The combined DNA/RNA extraction protocol detected significantly higher levels of Verrucomicrobia than the other protocols, and those higher numbers were confirmed by microscopic analysis. Use of RNA protection agents as well as independent sequencing runs caused a significant shift in community composition as well, albeit smaller than the shift caused by using different extraction protocols. Despite methodological biases, sample origin was the strongest determinant of community composition. However, when the abundance of specific phylogenetic groups is of interest, researchers need to be aware of the biases their methods introduce. This is particularly relevant if different methods are used for DNA and RNA extraction, in addition to using RNA protection agents only for RNA

  17. Comparative evaluation of total RNA extraction methods in Theobroma cacao using shoot apical meristems.

    Science.gov (United States)

    Silva, D V; Branco, S M J; Holanda, I S A; Royaert, S; Motamayor, J C; Marelli, J P; Corrêa, R X

    2016-03-04

    Theobroma cacao is a species of great economic importance with its beans used for chocolate production. The tree has been a target of various molecular studies. It contains many polyphenols, which complicate the extraction of nucleic acids with the extraction protocols requiring a large amount of plant material. These issues, therefore, necessitate the optimization of the protocols. The aim of the present study was to evaluate different methods for extraction of total RNA from shoot apical meristems of T. cacao 'CCN 51' and to assess the influence of storage conditions for the meristems on the extraction. The study also aimed to identify the most efficient protocol for RNA extraction using a small amount of plant material. Four different protocols were evaluated for RNA extraction using one shoot apical meristem per sample. Among these protocols, one that was more efficient was then tested to extract RNA using four different numbers of shoot apical meristems, subjected to three different storage conditions. The best protocol was tested for cDNA amplification using reverse transcription-polymerase chain reaction; the cDNA quality was determined to be satisfactory for molecular analyses. The study revealed that with the best RNA extraction protocol, one shoot apical meristem was sufficient for extraction of high-quality total RNA. The results obtained might enable advances in genetic analyses and molecular studies using reduced amount of plant material.

  18. High-quality RNA extraction from copepods for Next Generation Sequencing: A comparative study.

    Science.gov (United States)

    Asai, Sneha; Ianora, Adrianna; Lauritano, Chiara; Lindeque, Penelope K; Carotenuto, Ylenia

    2015-12-01

    Despite the ecological importance of copepods, few Next Generation Sequencing studies (NGS) have been performed on small crustaceans, and a standard method for RNA extraction is lacking. In this study, we compared three commonly-used methods: TRIzol®, Aurum Total RNA Mini Kit and Qiagen RNeasy Micro Kit, in combination with preservation reagents TRIzol® or RNAlater®, to obtain high-quality and quantity of RNA from copepods for NGS. Total RNA was extracted from the copepods Calanus helgolandicus, Centropages typicus and Temora stylifera and its quantity and quality were evaluated using NanoDrop, agarose gel electrophoresis and Agilent Bioanalyzer. Our results demonstrate that preservation of copepods in RNAlater® and extraction with Qiagen RNeasy Micro Kit were the optimal isolation method for high-quality and quantity of RNA for NGS studies of C. helgolandicus. Intriguingly, C. helgolandicus 28S rRNA is formed by two subunits that separate after heat-denaturation and migrate along with 18S rRNA. This unique property of protostome RNA has never been reported in copepods. Overall, our comparative study on RNA extraction protocols will help increase gene expression studies on copepods using high-throughput applications, such as RNA-Seq and microarrays. Copyright © 2014 Elsevier B.V. All rights reserved.

  19. Evidence for an RNA polymerization activity in axolotl and Xenopus egg extracts.

    Directory of Open Access Journals (Sweden)

    Hélène Pelczar

    2010-12-01

    Full Text Available We have previously reported a post-transcriptional RNA amplification observed in vivo following injection of in vitro synthesized transcripts into axolotl oocytes, unfertilized (UFE or fertilized eggs. To further characterize this phenomenon, low speed extracts (LSE from axolotl and Xenopus UFE were prepared and tested in an RNA polymerization assay. The major conclusions are: i the amphibian extracts catalyze the incorporation of radioactive ribonucleotide in RNase but not DNase sensitive products showing that these products correspond to RNA; ii the phenomenon is resistant to α-amanitin, an inhibitor of RNA polymerases II and III and to cordycepin (3'dAMP, but sensitive to cordycepin 5'-triphosphate, an RNA elongation inhibitor, which supports the existence of an RNA polymerase activity different from polymerases II and III; the detection of radiolabelled RNA comigrating at the same length as the exogenous transcript added to the extracts allowed us to show that iii the RNA polymerization is not a 3' end labelling and that iv the radiolabelled RNA is single rather than double stranded. In vitro cell-free systems derived from amphibian UFE therefore validate our previous in vivo results hypothesizing the existence of an evolutionary conserved enzymatic activity with the properties of an RNA dependent RNA polymerase (RdRp.

  20. Extraction of ribosomal RNA and genomic DNA from soil for studying the diversity of the indigenous bacterial community

    NARCIS (Netherlands)

    Duarte, G.F.; Rosado, A.S.; Keijzer-Wolters, A.C.; Elsas, van J.D.

    1998-01-01

    A method for the indirect (cell extraction followed by nucleic acid extraction) isolation of bacterial ribosomal RNA (rRNA) and genomic DNA from soil was developed. The protocol allowed for the rapid parallel extraction of genomic DNA as well as small and large ribosomal subunit RNA from four soils

  1. Extraction of RNA from fresh, frozen, and lyophilized tuber and root tissues.

    Science.gov (United States)

    Kumar, G N Mohan; Iyer, Suresh; Knowles, N Richard

    2007-03-07

    A method for isolating transcriptionally competent RNA from fresh, frozen, and lyophilized plant storage tissues containing high levels of starch and phenolics is described. The protocol avoids the use of guanidium salts, which often lead to the formation of a viscous gel during extraction of high starch-containing tissues, and instead uses a borate-Tris buffer in combination with high concentrations of NaCl, Na2SO3, and sodium dodecyl sulfate in the extraction medium. RNA was extracted from fresh, frozen, and lyophilized tissues of potato tubers, storage roots of sweet potato, radish, and turnip, and rhizomes of ginger. The yield of RNA from potato tubers averaged 281 microg g fresh weight(-1) and 1584 microg g dry weight(-1) from frozen and lyophilized samples, respectively. A260/A230 ratios of potato RNA extracts were 2.2 or greater, indicating minimal contamination by polyphenols and carbohydrates. Similarly, A260/A280 ratios exceeded 1.9, demonstrating minimal contamination of the RNA by tuber protein. While A260/A280 ratios of extracts from the other plant species were somewhat lower than those for potato (average = 1.56 and 1.80 for fresh and lyophilized samples, respectively), A260/A230 ratios averaged more than 2.0, and the RNA extracted from fresh and lyophilized samples of all species was intact, as demonstrated by denaturing agarose-formaldehyde gel electrophoresis. The protocol yielded RNA suitable for downstream molecular applications involving reverse transcription-polymerase chain reaction from all five species. Transcriptionally competent RNA was also recovered from lyophilized potato tuber tissue stored for 6 years (ambient temperature) by a simple modification to the protocol involving extraction in cold acetone. Lyophilization can thus be used to preserve RNA in high starch- and phenolic-containing plant tissues for studies on gene expression.

  2. A discontinuous RNA platform mediates RNA virus replication: building an integrated model for RNA-based regulation of viral processes.

    Directory of Open Access Journals (Sweden)

    Baodong Wu

    2009-03-01

    Full Text Available Plus-strand RNA viruses contain RNA elements within their genomes that mediate a variety of fundamental viral processes. The traditional view of these elements is that of local RNA structures. This perspective, however, is changing due to increasing discoveries of functional viral RNA elements that are formed by long-range RNA-RNA interactions, often spanning thousands of nucleotides. The plus-strand RNA genomes of tombusviruses exemplify this concept by possessing different long-range RNA-RNA interactions that regulate both viral translation and transcription. Here we report that a third fundamental tombusvirus process, viral genome replication, requires a long-range RNA-based interaction spanning approximately 3000 nts. In vivo and in vitro analyses suggest that the discontinuous RNA platform formed by the interaction facilitates efficient assembly of the viral RNA replicase. This finding has allowed us to build an integrated model for the role of global RNA structure in regulating the reproduction of a eukaryotic RNA virus, and the insights gained have extended our understanding of the multifunctional nature of viral RNA genomes.

  3. Simultaneous Extraction of DNA and RNA from Animal Cells by a Modified Laemmli Buffer

    OpenAIRE

    sprotocols

    2014-01-01

    Authors: Nasrin Shojaie, Mahmood S. Ghaffari & Zahra Safari ### Abstract Simultaneous investigation of DNA and RNA is often a necessity in genetic manipulation and biological researches. Besides, most of the traditional procedures devised for RNA isolation have some difficulties associated with RNase activity. Therefore, this protocol presents a safer process to extract high purity RNA in shorter time. ### Introduction The protocol describes a simple and less time-consuming m...

  4. Efficient RNA extraction protocol for the wood mangrove species Laguncularia racemosa suited for next-generation RNA sequencing

    International Nuclear Information System (INIS)

    Wilwerth, M. W.; Rossetto, P.

    2016-01-01

    Mangrove flora and habitat have immeasurable importance in marine and coastal ecology as well as in the economy. Despite their importance, they are constantly threatened by oil spill accidents and environmental contamination; therefore, it is crucial to understand the changes in gene expression to better predict toxicity in these plants. Among the species of Atlantic coast mangrove (Americas and Africa), Laguncularia racemosa, or white mangrove, is a conspicuous species. The wide distribution of L. racemosa in areas where marine oil exploration is rapidly increasing make it a candidate mangrove species model to uncover the impact of oil spills at the molecular level with the use of massive transcriptome sequencing. However, for this purpose, the RNA extraction protocol should ensure low levels of contaminants and structure integrity. In this study, eight RNA extraction methods were tested and analysed using downstream applications. The InviTrap Spin Plant RNA Mini Kit performed best with regard to purity and integrity. Moreover, the obtained RNA was submitted to cDNA synthesis and RT-PCR, successfully generating amplification products of the expected size. These Results show the applicability of the RNA obtained here for downstream methodologies, such as the construction of cDNA libraries for the Illumina Hi-seq platform. (author)

  5. Optimization Of Rna Extraction In Mycobacterium Tuberculosis For ...

    African Journals Online (AJOL)

    ... removing the macrophage RNA. We were able to demonstrate the expression of dnaK gene in both intracellular and broth grown bacilli. The expression of dnaK gene was found to be downregulated in macrophage compared to broth. African Journal of Clinical and Experimental Microbiology Vol. 10 (2) 2009: pp. 64-79 ...

  6. On-Orbit DNA, RNA, and Protein Extraction, Phase I

    Data.gov (United States)

    National Aeronautics and Space Administration — Genova Engineering proposes to develop and demonstrate a toolset of discrete devices and extraction kits which will leverage existing on-orbit facilities and will...

  7. A Method for Extracting High-Quality RNA from Diverse Plants for Next-Generation Sequencing and Gene Expression Analyses

    Directory of Open Access Journals (Sweden)

    Roxana Yockteng

    2013-12-01

    Full Text Available Premise of the study: To study gene expression in plants, high-quality RNA must be extracted in quantities sufficient for subsequent cDNA library construction. Field-based collections are often limited in quantity and quality of tissue and are typically preserved in RNAlater. Obtaining sufficient and high-quality yield from variously preserved samples is essential to studies of comparative biology. We present a protocol for the extraction of high-quality RNA from even the most recalcitrant plant tissues. Methods and Results: Tissues from mosses, cycads, and angiosperm floral organs and leaves were preserved in RNAlater or frozen fresh at −80°C. Extractions were performed and quality was measured for yield and purity. Conclusions: This protocol results in the extraction of high-quality RNA from a variety of plant tissues representing vascular and nonvascular plants. RNA was used for cDNA synthesis to generate libraries for next-generation sequencing and for expression studies using quantitative PCR (qPCR and semiquantitative reverse transcription PCR (RT-PCR.

  8. RNA extraction from plant tissues: the use of calcium to precipitate contaminating pectic sugars.

    Science.gov (United States)

    Dal Cin, Valeriano; Danesin, Marcello; Rizzini, Fabio Massimo; Ramina, Angelo

    2005-10-01

    Several protocols and commercial kits are used for the extraction of nucleic acids from different plant tissues. Although there are several procedures available to remove sugars, which hinder the extraction of clean genomic DNA, there are few to assist with extraction of RNA. Those presently used include precipitations with ethylene glycol monobutyl ether or lithium chloride (LiCl), or centrifugation in cesium chloride (CsCl) gradients, but these generally either do not allow high recovery of RNA, are time consuming, rely on hazardous chemicals or need special equipment. Here we present the use of the simple cation, Ca2+, which has been tested and shown to be very efficient for the precipitation of high molecular weight pectic sugars during RNA extraction. Results are presented for different plant tissues, especially tissues of peach and apple fruits at varying ripening stages.

  9. Comparison and optimization of methods for the simultaneous extraction of DNA, RNA, proteins, and metabolites.

    Science.gov (United States)

    Vorreiter, Fränze; Richter, Silke; Peter, Michel; Baumann, Sven; von Bergen, Martin; Tomm, Janina M

    2016-09-01

    The challenge of performing a time-resolved comprehensive analysis of molecular systems has led to the quest to optimize extraction methods. When the size of a biological sample is limited, there is demand for the simultaneous extraction of molecules representing the four areas of "omics": genomics, transcriptomics, proteomics, and metabolomics. Here we optimized a protocol for the simultaneous extraction of DNA, RNA, proteins, and metabolites and compared it with two existing protocols. Our optimization comprised the addition of a methanol/chloroform metabolite purification before the separation of DNA/RNA and proteins. Extracted DNA, RNA, proteins, and metabolites were quantitatively and/or qualitatively analyzed. Of the three methods, only the newly developed protocol yielded all biomolecule classes of adequate quantity and quality. Copyright © 2016 The Author(s). Published by Elsevier Inc. All rights reserved.

  10. RNA extraction from healthy and failing human myocardium: a comparative evaluation.

    Science.gov (United States)

    Hong, Yaejee H; Martin, Lisa A; Mulvaney, Jason M; Burhans, Michael S; Blaxall, Burns C; Hinton, Robert B

    2015-04-01

    Isolation of high-quality RNA from tissue is mandatory for producing reliable data for downstream applications. In heart tissue, the relative strengths and weaknesses of different approaches to isolate total RNA are unknown. The objective of this study was to compare different RNA isolation methods in healthy and diseased human myocardium. Frozen left ventricular myocardium was obtained from individuals with heart failure and individuals who died from non-cardiac causes with normal heart function (control). Three extraction methods, including guanidine isothiocyanate (TRIzol), silica-gel column (RNeasy), and the combination method (TRIzol/RNeasy), were assessed for their effect on the yield, integrity, and gene expression levels of RNA using quantitative real-time PCR. In the control group (n=5), the highest RNA yield per tissue mass was obtained with TRIzol, and a significantly higher RNA integrity was obtained from the RNeasy method. The quantification cycle (Cq) values for both the reference gene GAPDH and two target genes were lower with TRIzol. Normalization by GAPDH showed the highest gene expression levels with RNeasy. Similar patterns were observed in the heart failure group (n=5), suggesting assays were not negatively impacted by myocardial disease processes. In both healthy and diseased heart tissue, the TRIzol method provides the highest RNA yield, while the RNeasy method shows superior RNA integrity, demonstrating comparable RNA quality in studies examining myocardial disease. A balanced approach to RNA quality is necessary for the successful downstream applications of RNA.

  11. Specific transcription of an Acanthamoeba castellanii 5S RNA gene in homologous nuclear extracts.

    Science.gov (United States)

    Zwick, M G; Imboden, M A; Paule, M R

    1991-01-01

    An RNA polymerase III in vitro transcription system has been developed from the protist Acanthamoeba castellanii. The system is dependent on a cloned 5S RNA gene and utilizes a nuclear extract which contains all the necessary protein components. The system is assembled from completely homologous components. Primer extension and RNA sequencing analysis confirm that the in vitro 5S RNA transcript is identical to the 5S RNA isolated from cells. The transcription complex forms unusually rapidly on the 5S RNA gene and is stable to challenge by excess competitor templates. Several 5' deletion mutants were constructed and indicate that the region upstream of -33 is dispensable. Deletion to +16 show the region between -33 and +16 to be required for transcription, a region outside the canonical internal control region. Images PMID:2027775

  12. iDoRNA: An Interacting Domain-based Tool for Designing RNA-RNA Interaction Systems

    Directory of Open Access Journals (Sweden)

    Jittrawan Thaiprasit

    2016-03-01

    Full Text Available RNA-RNA interactions play a crucial role in gene regulation in living organisms. They have gained increasing interest in the field of synthetic biology because of their potential applications in medicine and biotechnology. However, few novel regulators based on RNA-RNA interactions with desired structures and functions have been developed due to the challenges of developing design tools. Recently, we proposed a novel tool, called iDoDe, for designing RNA-RNA interacting sequences by first decomposing RNA structures into interacting domains and then designing each domain using a stochastic algorithm. However, iDoDe did not provide an optimal solution because it still lacks a mechanism to optimize the design. In this work, we have further developed the tool by incorporating a genetic algorithm (GA to find an RNA solution with maximized structural similarity and minimized hybridized RNA energy, and renamed the tool iDoRNA. A set of suitable parameters for the genetic algorithm were determined and found to be a weighting factor of 0.7, a crossover rate of 0.9, a mutation rate of 0.1, and the number of individuals per population set to 8. We demonstrated the performance of iDoRNA in comparison with iDoDe by using six RNA-RNA interaction models. It was found that iDoRNA could efficiently generate all models of interacting RNAs with far more accuracy and required far less computational time than iDoDe. Moreover, we compared the design performance of our tool against existing design tools using forty-four RNA-RNA interaction models. The results showed that the performance of iDoRNA is better than RiboMaker when considering the ensemble defect, the fitness score and computation time usage. However, it appears that iDoRNA is outperformed by NUPACK and RNAiFold 2.0 when considering the ensemble defect. Nevertheless, iDoRNA can still be an useful alternative tool for designing novel RNA-RNA interactions in synthetic biology research. The source code of iDoRNA

  13. Two modified RNA extraction methods compatible with transcript profiling and gene expression analysis for cotton roots.

    Science.gov (United States)

    Xie, Chengjian; Wang, Chunyan; Wang, Xiaokun; Yang, Xingyong

    2013-01-01

    Efficient isolation of high-quality RNA is of prime importance for optimal transcript profiling results and further gene expression analysis. However, it is difficult for cotton roots because of lower-than-average RNA content and high content of polysaccharides, polyphenols, and other secondary metabolites. To develop simple and reliable protocols for high-quality RNA extraction from cotton roots for transcript profiling and gene expression analysis, some modifications were introduced to a reported plant RNA isolation protocol and a reagent kit method. Using method A, we successfully extracted high-quality RNA for transcript profiling from cotton roots. Gel electrophoresis analysis and polymerase chain reaction (PCR) assay indicated that RNA had good integrity without protein and genomic DNA contamination. Furthermore, the A260/280 (1.9) and A260/230 (1.6) ratios indicated that the isolated RNA was of high purity. Using method B, about 7 µg total RNA of high quality could be obtained from 0.1 g samples from cotton roots, which can be used for reverse-transcription (RT)-PCR and quantitative real-time RT-PCR. The two RNA extraction methods were used to investigate different gene expression of cotton roots (Gossypium hirsutum) infected by weak pathogenic Verticillium dahliae and the results showed they can satisfy the transcript profiling and quantitative real-time RT-PCR requirements for RNA. Supplemental materials are available for this article. Go to the publisher's online edition of Preparative Biochemistry and Biotechnology to view the supplemental file.

  14. RNA-Based Vaccines in Cancer Immunotherapy

    Directory of Open Access Journals (Sweden)

    Megan A. McNamara

    2015-01-01

    Full Text Available RNA vaccines traditionally consist of messenger RNA synthesized by in vitro transcription using a bacteriophage RNA polymerase and template DNA that encodes the antigen(s of interest. Once administered and internalized by host cells, the mRNA transcripts are translated directly in the cytoplasm and then the resulting antigens are presented to antigen presenting cells to stimulate an immune response. Alternatively, dendritic cells can be loaded with either tumor associated antigen mRNA or total tumor RNA and delivered to the host to elicit a specific immune response. In this review, we will explain why RNA vaccines represent an attractive platform for cancer immunotherapy, discuss modifications to RNA structure that have been developed to optimize mRNA vaccine stability and translational efficiency, and describe strategies for nonviral delivery of mRNA vaccines, highlighting key preclinical and clinical data related to cancer immunotherapy.

  15. Comparison of Different Methods for RNA Extraction from Floral Buds of Tree Peony (Paeonia suffruticosa Andr.)

    OpenAIRE

    Yan GAO; Guangqi ZHAO; Changhua JIANG; Yao SONG; Kang YE; Shucheng FENG

    2016-01-01

    Tree peony (Paeonia suffruticosa Andr.), a species native to China, is one of the most important ornamental and medicinal plants. Like other tree species in temperate and boreal zones, the dormancy-activity transition of floral buds is critical for blooming time and fruit production. However, floral buds contain high levels of secondary metabolites, making the isolation of high quality RNA difficult. To obtain a method suitable for extracting RNA from floral buds of tree peony, we evaluated f...

  16. RNA structural motif recognition based on least-squares distance.

    Science.gov (United States)

    Shen, Ying; Wong, Hau-San; Zhang, Shaohong; Zhang, Lin

    2013-09-01

    RNA structural motifs are recurrent structural elements occurring in RNA molecules. RNA structural motif recognition aims to find RNA substructures that are similar to a query motif, and it is important for RNA structure analysis and RNA function prediction. In view of this, we propose a new method known as RNA Structural Motif Recognition based on Least-Squares distance (LS-RSMR) to effectively recognize RNA structural motifs. A test set consisting of five types of RNA structural motifs occurring in Escherichia coli ribosomal RNA is compiled by us. Experiments are conducted for recognizing these five types of motifs. The experimental results fully reveal the superiority of the proposed LS-RSMR compared with four other state-of-the-art methods.

  17. Evaluation of a low-cost procedure for sampling, long-term storage, and extraction of RNA from blood for qPCR analyses

    DEFF Research Database (Denmark)

    Mærkedahl, Rasmus Baadsgaard; Frøkiær, Hanne; Lauritzen, Lotte

    2015-01-01

    -extraction. We investigated the use of lysis buffer for long-term storage of blood samples for qPCR analysis. Methods: Blood was collected from 13 healthy adults and diluted in MagMAX lysis/binding solution or PAXgene Blood RNA tubes and stored at -20 °C for 0, 1, or 4 months before RNA extraction....../binding solution over time and between samples stored and extracted by the two systems. Conclusions: The MagMAX system can be used for storage of human blood for up to 4 months and is equivalent to the PAXgene system for RNA extraction. It furthermore, provides a means for significant cost reduction in large......Abstract Background: In large clinical trials, where RNA cannot be extracted immediately after sampling, preserving RNA in whole blood is a crucial initial step in obtaining robust qPCR data. The current golden standard for RNA preservation is costly and designed for time-consuming column-based RNA...

  18. Improving Griffith's protocol for co-extraction of microbial DNA and RNA in adsorptive soils

    DEFF Research Database (Denmark)

    Paulin, Mélanie Marie; Nicolaisen, Mette Haubjerg; Jacobsen, Carsten Suhr

    2013-01-01

    Quantification of microbial gene expression is increasingly being used to study key functions in soil microbial communities, yet major limitations still exist for efficient extraction of nucleic acids, especially RNA for transcript analysis, from this complex matrix. We present an improved......-time PCR on both the RNA (after conversion to cDNA) and the DNA fraction of the extracts. Non-adsorptive soils were characterized by low clay content and/or high phosphate content, whereas adsorptive soils had clay contents above 20% and/or a strong presence of divalent Ca in combination with high p...

  19. How Severely Is DNA Quantification Hampered by RNA Co-extraction?

    Science.gov (United States)

    Sanchez, Ignacio; Remm, Matthieu; Frasquilho, Sonia; Betsou, Fay; Mathieson, William

    2015-10-01

    The optional RNase digest that is part of many DNA extraction protocols is often omitted, either because RNase is not provided in the kit or because users do not want to risk contaminating their laboratory. Consequently, co-eluting RNA can become a "contaminant" of unknown magnitude in a DNA extraction. We extracted DNA from liver, lung, kidney, and heart tissues and established that 28-52% of the "DNA" as assessed by spectrophotometry is actually RNA (depending on tissue type). Including an RNase digest in the extraction protocol reduced 260:280 purity ratios. Co-eluting RNA drives an overestimation of DNA yield when quantification is carried out using OD 260 nm spectrophotometry, or becomes an unquantified contaminant when spectrofluorometry is used for DNA quantification. This situation is potentially incompatible with the best practice guidelines for biobanks issued by organizations such as the International Society for Biological and Environmental Repositories, which state that biospecimens should be accurately characterized in terms of their identity, purity, concentration, and integrity. Consequently, we conclude that an RNase digest must be included in DNA extractions if pure DNA is required. We also discuss the implications of unquantified RNA contamination in DNA samples in the context of laboratory accreditation schemes.

  20. [Effect of the gardenia extracts-T9 on viral replication and IFN-gamma mRNA in Herpes simplex virus type-1 infected mice brains].

    Science.gov (United States)

    Shi, Yu-jing; Huang, Yang; Jiang, Jing; Guo, Shan-shan; Su, Dan; Zhao, Ye; Gao, Ying-jie; Cui, Xiao-lan

    2009-01-01

    RT-PCR was used to detect expression level of VP16 mRNA and IFN-gamma mRNA in Herpes simplex virus type-1 infected mice brains at 4th day, 7th day, 10th day, 14th day, 21st day post infection and investigate the effects of the Gardenia extracts-T9 on viral replication and host immunity. The results showed that expression of VP16 mRNA in Gardenia extracts-T9 high dose and low dose group were both lower than that in virus control group at same time point. Relative VP16 mRNA expression in low dose group decreased at 21st day and relative VP16 mRNA expression in high dose group decreased continuously. Relative expression of IFN-gamma mRNA in high dose and low dose groups were both higher than that in virus control group at all time point except the 4th day. IFN-gamma mRNA in low dose group increased from the 4th day till the 14th day, and after the 14th day, the expression decreased slightly. Relative IFN-gamma mRNA in high dose group maintained increasing from 4th day till 21st day. Base on these results, we conclude that Gardenia extracts-T9 might exert the inhibition effect of viral replication by upregulating expression of IFN-gamma mRNA.

  1. RNA Base Pairing Determines the Conformations of RNA Inside Spherical Viruses

    Science.gov (United States)

    Erdemci-Tandogan, Gonca; Orland, Henri; Zandi, Roya

    2017-11-01

    Many simple RNA viruses enclose their genetic material by a protein shell called the capsid. While the capsid structures are well characterized for most viruses, the structure of RNA inside the shells and the factors contributing to it remain poorly understood. We study the impact of base pairing on the conformations of RNA and find that it undergoes a swollen coil to globule continuous transition as a function of the strength of the pairing interaction. We also observe a first order transition and kink profile as a function of RNA length. All these transitions could explain the different RNA profiles observed inside viral shells.

  2. Extraction of total RNA from leaves of Eucalyptus and other woody and herbaceous plants using sodium isoascorbate.

    Science.gov (United States)

    Suzuki, Y; Hibino, T; Kawazu, T; Wada, T; Kihara, T; Koyama, H

    2003-05-01

    Rapid extraction of total RNA from Eucalyptus leaves is difficult due to the high content of polyphenolics and polysaccharides. A rapid and simple method was developed by using an extraction buffer containing sodium isoascorbate at a concentration of 500 mM. This method consisted of one or two chloroform extractions, one acid guanidium-phenol-chloroform extraction, and isopropanol precipitation alone. The yields of the RNA fractions were 246-1750 micrograms/g fresh weight when leaves of Eucalyptus, five other woody plants, and four herbaceous plants were used as samples. The contamination of the RNA fractions by proteins and polysaccharides was very limited as judged spectrophotometrically. When the RNA fractions were subjected to agarose gel electrophoresis, intact rRNA bands were detected. The RNA fractions could be used for RT-PCR. These results indicate that our new method achieves a simple and rapid preparation of high-quality RNA from leaves of Eucalyptus and other plant species.

  3. HUMAN IDENTIFICATION BASED ON EXTRACTED GAIT FEATURES

    OpenAIRE

    Hu Ng; Hau-Lee Ton; Wooi-Haw Tan; Timothy Tzen-Vun Yap; Pei-Fen Chong; Junaidi Abdullah

    2011-01-01

    This paper presents a human identification system based on automatically extracted gait features. The proposed approach consists of three parts: extraction of human gait features from enhanced human silhouette, smoothing process on extracted gait features and classification by three classification techniques: fuzzy k- nearest neighbour, linear discriminate analysis and linear support vector machine. The gait features extracted are height, width, crotch height, step-size of the human silhouett...

  4. Optimization of extraction of circulating RNAs from plasma--enabling small RNA sequencing.

    Science.gov (United States)

    Spornraft, Melanie; Kirchner, Benedikt; Haase, Bettina; Benes, Vladimir; Pfaffl, Michael W; Riedmaier, Irmgard

    2014-01-01

    There are several protocols and kits for the extraction of circulating RNAs from plasma with a following quantification of specific genes via RT-qPCR. Due to the marginal amount of cell-free RNA in plasma samples, the total RNA yield is insufficient to perform Next-Generation Sequencing (NGS), the state-of-the-art technology in massive parallel sequencing that enables a comprehensive characterization of the whole transcriptome. Screening the transcriptome for biomarker signatures accelerates progress in biomarker profiling for molecular diagnostics, early disease detection or food safety. Therefore, the aim was to optimize a method that enables the extraction of sufficient amounts of total RNA from bovine plasma to generate good-quality small RNA Sequencing (small RNA-Seq) data. An increased volume of plasma (9 ml) was processed using the Qiagen miRNeasy Serum/Plasma Kit in combination with the QIAvac24 Plus system, a vacuum manifold that enables handling of high volumes during RNA isolation. 35 ng of total RNA were passed on to cDNA library preparation followed by small RNA high-throughput sequencing analysis on the Illumina HiSeq2000 platform. Raw sequencing reads were processed by a data analysis pipeline using different free software solutions. Seq-data was trimmed, quality checked, gradually selected for miRNAs/piRNAs and aligned to small RNA reference annotation indexes. Mapping to human reference indexes resulted in 4.8±2.8% of mature miRNAs and 1.4±0.8% of piRNAs and of 5.0±2.9% of mature miRNAs for bos taurus.

  5. Optimization of extraction of circulating RNAs from plasma--enabling small RNA sequencing.

    Directory of Open Access Journals (Sweden)

    Melanie Spornraft

    Full Text Available There are several protocols and kits for the extraction of circulating RNAs from plasma with a following quantification of specific genes via RT-qPCR. Due to the marginal amount of cell-free RNA in plasma samples, the total RNA yield is insufficient to perform Next-Generation Sequencing (NGS, the state-of-the-art technology in massive parallel sequencing that enables a comprehensive characterization of the whole transcriptome. Screening the transcriptome for biomarker signatures accelerates progress in biomarker profiling for molecular diagnostics, early disease detection or food safety. Therefore, the aim was to optimize a method that enables the extraction of sufficient amounts of total RNA from bovine plasma to generate good-quality small RNA Sequencing (small RNA-Seq data. An increased volume of plasma (9 ml was processed using the Qiagen miRNeasy Serum/Plasma Kit in combination with the QIAvac24 Plus system, a vacuum manifold that enables handling of high volumes during RNA isolation. 35 ng of total RNA were passed on to cDNA library preparation followed by small RNA high-throughput sequencing analysis on the Illumina HiSeq2000 platform. Raw sequencing reads were processed by a data analysis pipeline using different free software solutions. Seq-data was trimmed, quality checked, gradually selected for miRNAs/piRNAs and aligned to small RNA reference annotation indexes. Mapping to human reference indexes resulted in 4.8±2.8% of mature miRNAs and 1.4±0.8% of piRNAs and of 5.0±2.9% of mature miRNAs for bos taurus.

  6. Co-extraction of high-quality RNA and DNA from rubber tree ( Hevea ...

    African Journals Online (AJOL)

    ... agarose electrophoresis analysis and reverse transcription (RT-PCR) of isolated nucleic acids indicate that high-quality DNA and RNA were extracted by this method. The general applicability of this method was also evaluated, and the results show that it was suitable for a variety of plants. Key words: Hevea brasiliensis, ...

  7. A method for high-quality RNA extraction from tall fescue

    African Journals Online (AJOL)

    Jane

    2011-07-20

    Jul 20, 2011 ... target gene clone, blot analysis, cDNA library con- struction and RT-PCR analysis (Gambino ... Tall fescue has been one of the major target grass species for genetic and agronomic studies ..... RNA extraction from different apple tissues rich in polyphenolsand polysaccharides for cDNA library construction.

  8. Extraction of High Quality RNA from Cannabis sativa Bast Fibres: A Vademecum for Molecular Biologists

    Directory of Open Access Journals (Sweden)

    Gea Guerriero

    2016-07-01

    Full Text Available In plants there is no universal protocol for RNA extraction, since optimizations are required depending on the species, tissues and developmental stages. Some plants/tissues are rich in secondary metabolites or synthesize thick cell walls, which hinder an efficient RNA extraction. One such example is bast fibres, long extraxylary cells characterized by a thick cellulosic cell wall. Given the economic importance of bast fibres, which are used in the textile sector, as well as in biocomposites as green substitutes of glass fibres, it is desirable to better understand their development from a molecular point of view. This knowledge favours the development of biotechnological strategies aimed at improving specific properties of bast fibres. To be able to perform high-throughput analyses, such as, for instance, transcriptomics of bast fibres, RNA extraction is a crucial and limiting step. We here detail a protocol enabling the rapid extraction of high quality RNA from the bast fibres of textile hemp, Cannabis sativa L., a multi-purpose fibre crop standing in the spotlight of research.

  9. A modular method for the extraction of DNA and RNA, and the separation of DNA pools from diverse environmental sample types

    DEFF Research Database (Denmark)

    Lever, Mark; Torti, Andrea; Eickenbusch, Philip

    2015-01-01

    A method for the extraction of nucleic acids from a wide range of environmental samples was developed. This method consists of several modules, which can be individually modified to maximize yields in extractions of DNA and RNA or separations of DNA pools. Modules were designed based on elaborate......'s oceans and the deepest borehole ever studied by scientific ocean drilling. Extraction yields of DNA and RNA are higher than with widely used commercial kits, indicating an advantage to optimizing extraction procedures to match specific sample characteristics. The ability to separate soluble extracellular...... tests, in which permutations of all nucleic acid extraction steps were compared. The final modular protocol is suitable for extractions from igneous rock, air, water, and sediments. Sediments range from high-biomass, organic rich coastal samples to samples from the most oligotrophic region of the world...

  10. siRNA delivery with lipid-based systems

    DEFF Research Database (Denmark)

    Foged, Camilla

    2012-01-01

    A key hurdle for the further development of RNA interference (RNAi) therapeutics like small interfering RNA (siRNA) is their safe and effective delivery. Lipids are promising and versatile carriers because they are based on Nature's own building blocks and can be provided with properties which...... allow for protection of the siRNA, steric stabilization, targeting, membrane fusion and triggered drug release. At present a variety of lipid-based transfectants for siRNA delivery have been used for in vitro and in vivo purposes. The majority bears a cationic charge to electrostatically complex the siRNA...... into more hydrophobic lipoplexes, which promote passage of the siRNA across cellular membrane barriers, especially when lipids are added that facilitate membrane fusion. Despite these attractive features, siRNA delivery vehicles are facing a number of challenges such as the limited delivery efficiency...

  11. The European Regulatory Environment of RNA-Based Vaccines.

    Science.gov (United States)

    Hinz, Thomas; Kallen, Kajo; Britten, Cedrik M; Flamion, Bruno; Granzer, Ulrich; Hoos, Axel; Huber, Christoph; Khleif, Samir; Kreiter, Sebastian; Rammensee, Hans-Georg; Sahin, Ugur; Singh-Jasuja, Harpreet; Türeci, Özlem; Kalinke, Ulrich

    2017-01-01

    A variety of different mRNA-based drugs are currently in development. This became possible, since major breakthroughs in RNA research during the last decades allowed impressive improvements of translation, stability and delivery of mRNA. This article focuses on antigen-encoding RNA-based vaccines that are either directed against tumors or pathogens. mRNA-encoded vaccines are developed both for preventive or therapeutic purposes. Most mRNA-based vaccines are directly administered to patients. Alternatively, primary autologous cells from cancer patients are modified ex vivo by the use of mRNA and then are adoptively transferred to patients. In the EU no regulatory guidelines presently exist that specifically address mRNA-based vaccines. The existing regulatory framework, however, clearly defines that mRNA-based vaccines in most cases have to be centrally approved. Interestingly, depending on whether RNA-based vaccines are directed against tumors or infectious disease, they are formally considered gene therapy products or not, respectively. Besides an overview on the current clinical use of mRNA vaccines in various therapeutic areas a detailed discussion of the current regulatory situation is provided and regulatory perspectives are discussed.

  12. Extraction of mRNA from coagulated horse blood and analysis of inflammation-related cytokine responses to coagulation

    DEFF Research Database (Denmark)

    Bovbjerg, Kirsten Katrine Lindegaard; Heegaard, Peter M. H.; Skovgaard, Kerstin

    2010-01-01

    available. Here, a protocol for RNA extraction from highly clotted blood was optimized and the regulation of a number of cytokine genes compared to stabilized blood was studied. Whole blood samples from 10 clinically healthy horses were incubated for 24 hours at 37°C and RNA was extracted from...

  13. A high-throughput RNA extraction for sprouted single-seed malting barley (Hordeum vulgare L.) rich in polysaccharides

    Science.gov (United States)

    Germinated seed from cereal crops including barley (Hordeum vulgare L.) is an important tissue to extract RNA and analyze expression levels of genes that control aspects of germination. These tissues are rich in polysaccharides and most methods for RNA extraction are not suitable to handle the exces...

  14. Method for RNA extraction and cDNA library construction from microbes in crop rhizosphere soil.

    Science.gov (United States)

    Fang, Changxun; Xu, Tiecheng; Ye, Changliang; Huang, Likun; Wang, Qingshui; Lin, Wenxiong

    2014-02-01

    Techniques to analyze the transcriptome of the soil rhizosphere are essential to reveal the interactions and communications between plants and microorganisms in the soil ecosystem. In this study, different volumes of Al₂(SO₄)₃ were added to rhizosphere soil samples to precipitate humic substances, which interfere with most procedures of RNA and DNA analyses. After humic substances were precipitated, cells of soil microorganisms were broken by vortexing with glass beads, and then DNA and RNA were recovered using Tris-HCl buffer with LiCl, SDS, and EDTA. The crude extract was precipitated and dissolved in RNAse-free water, and then separated by agarose gel electrophoresis. We determined the optimum volume of Al₂(SO₄)₃ for treating rhizosphere soil of rice, tobacco, sugarcane, Rehmannia glutinosa, and Pseudostellaria heterophylla. The crude nucleic acids extract from rice soil was treated with DNase I and then RNA was purified using a gel filtration column. The purified RNA was reverse-transcribed into single-strand cDNA and then ligated with an adaptor at each end before amplifying ds cDNA. The ds cDNA was sub-cloned for subsequent gene sequence analysis. We conducted qPCR to amplify 16S ribosomal DNA and observed highly efficient amplification. These results show that the extraction method can be optimized to isolate and obtain high-quality nucleic acids from microbes in different rhizosphere soils, suitable for genomic and post-genomic analyses.

  15. Evaluation of COBAS AmpliPrep nucleic acid extraction in conjunction with COBAS AmpliScreen HBV DNA, HCV RNA and HIV-1 RNA amplification and detection

    NARCIS (Netherlands)

    Koppelman, M. H. G. M.; Sjerps, M. C.; Reesink, H. W.; Cuypers, H. T. M.

    2005-01-01

    BACKGROUND AND OBJECTIVES: This report describes the evaluation of the COBAS AmpliPrep instrument for fully automated generic nucleic acid extraction in conjunction with hepatitis B virus (HBV) DNA, hepatitis C virus (HCV) RNA, and human immunodeficiency virus (HIV)-1 RNA COBAS AmpliScreen

  16. 16S rRNA Gene Sequence Analysis of Drinking Water Using RNA and DNA Extracts as Targets for Clone Library Development - Poster

    Science.gov (United States)

    We examined the bacterial composition of chlorinated drinking water using 16S rRNA gene clone libraries derived from RNA and DNA extracted from twelve water samples collected in three different months (June, August, and September of 2007). Phylogenetic analysis of 1234 and 1117 ...

  17. PIG-B: a homemade monophasic cocktail for the extraction of RNA.

    Science.gov (United States)

    Weber, K; Bolander, M E; Sarkar, G

    1998-02-01

    An inexpensive monophasic reagent has been developed for the extraction of total RNA from cells or tissues. The main ingredients of the reagent are Phenol, Isoamyl alcohol, Guanidinium isothiocyanate, and Beta-mercaptoethanol (PIG-B). The quality and yield of RNA obtained by this reagent is at par with that obtained by TRIzol, an expensive but widely used monophasic reagent available commercially. The complete composition and method of preparation of PIG-B is provided to aid preparation of the reagent in the laboratory.

  18. [In silico CRISPR-based sgRNA design].

    Science.gov (United States)

    Wang, Yuanli; Chuai, Guohui; Yan, Jifang; Shi, Lei; Liu, Qi

    2017-10-25

    CRISPR-based genome editing has been widely implemented in various cell types. In-silico single guide RNA (sgRNA) design is a key step for successful gene editing using CRISPR system. Continuing efforts are made to refine in-silico sgRNA design with high on-target efficacy and reduced off-target effects. In this paper, we summarize the present sgRNA design tools, and show that efficient in-silico models can be built that integrate current heterogeneous genome-editing data to derive unbiased sgRNA design rules and identify key features for improving sgRNA design. Our review shows that systematic comparisons and evaluation of on-target and off-target effects of sgRNA will allow more precise genome editing and gene therapies using the CRISPR system.

  19. Statistical feature extraction based iris recognition system

    Indian Academy of Sciences (India)

    Atul Bansal

    Abstract. Iris recognition systems have been proposed by numerous researchers using different feature extraction techniques for accurate and reliable biometric authentication. In this paper, a statistical feature extraction technique based on correlation between adjacent pixels has been proposed and implemented. Ham-.

  20. Base pairing in RNA structures: A computational analysis of ...

    Indian Academy of Sciences (India)

    The base pairing patterns in RNA structures are more versatile and completely different as compared to DNA. We present here results of ab-initio studies of structures and interaction energies of eight selected RNA base pairs reported in literature. Interaction energies, including BSSE correction, of hydrogen added crystal ...

  1. Base pairing in RNA structures: A computational analysis

    Indian Academy of Sciences (India)

    The base pairing patterns in RNA structures are more versatile and completely different as compared to DNA. We present here results of ab-initio studies of structures and interaction energies of eight selected RNA base pairs reported in literature. Interaction energies, including BSSE correction, of hydrogen added crystal ...

  2. Efficient recovery of whole blood RNA - a comparison of commercial RNA extraction protocols for high-throughput applications in wildlife species

    Directory of Open Access Journals (Sweden)

    Schwochow Doreen

    2012-06-01

    Full Text Available Abstract Background Since the emergence of next generation sequencing platforms, unprecedented opportunities have arisen in the study of natural vertebrate populations. In particular, insights into the genetic and epigenetic mechanisms of adaptation can be revealed through study of the expression profiles of genes. However, as a pre-requisite to expression profiling, care must be taken in RNA preparation as factors like DNA contamination, RNA integrity or transcript abundance can affect downstream applications. Here, we evaluated five commonly used RNA extraction methods using whole blood sampled under varying conditions from 20 wild carnivores. Results Despite the use of minute starting volumes, all methods produced quantifiable RNA extracts (1.4 – 18.4 μg with varying integrity (RIN 4.6 - 7.7, the latter being significantly affected by the storage and extraction method used. We observed a significant overall effect of the extraction method on DNA contamination. One particular extraction method, the LeukoLOCK™ filter system, yielded high RNA integrity along with low DNA contamination and efficient depletion of hemoglobin transcripts highly abundant in whole blood. In a proof of concept sequencing experiment, we found globin RNA transcripts to occupy up to ¼ of all sequencing reads if libraries were not depleted of hemoglobin prior to sequencing. Conclusion By carefully choosing the appropriate RNA extraction method, whole blood can become a valuable source for high-throughput applications like expression arrays or transcriptome sequencing from natural populations. Additionally, candidate genes showing signs of selection could subsequently be genotyped in large population samples using whole blood as a source for RNA without harming individuals from rare or endangered species.

  3. Effective DNA/RNA co-extraction for analysis of microRNAs, mRNAs, and genomic DNA from formalin-fixed paraffin-embedded specimens.

    Directory of Open Access Journals (Sweden)

    Adam Kotorashvili

    Full Text Available BACKGROUND: Retrospective studies of archived human specimens, with known clinical follow-up, are used to identify predictive and prognostic molecular markers of disease. Due to biochemical differences, however, formalin-fixed paraffin-embedded (FFPE DNA and RNA have generally been extracted separately from either different tissue sections or from the same section by dividing the digested tissue. The former limits accurate correlation whilst the latter is impractical when utilizing rare or limited archived specimens. PRINCIPAL FINDINGS: For effective recovery of genomic DNA and total RNA from a single FFPE specimen, without splitting the proteinase-K digested tissue solution, we optimized a co-extraction method by using TRIzol and purifying DNA from the lower aqueous and RNA from the upper organic phases. Using a series of seven different archived specimens, we evaluated the total amounts of genomic DNA and total RNA recovered by our TRIzol-based co-extraction method and compared our results with those from two commercial kits, the Qiagen AllPrep DNA/RNA FFPE kit, for co-extraction, and the Ambion RecoverAll™ Total Nucleic Acid Isolation kit, for separate extraction of FFPE-DNA and -RNA. Then, to accurately assess the quality of DNA and RNA co-extracted from a single FFPE specimen, we used qRT-PCR, gene expression profiling and methylation assays to analyze microRNAs, mRNAs, and genomic DNA recovered from matched fresh and FFPE MCF10A cells. These experiments show that the TRIzol-based co-extraction method provides larger amounts of FFPE-DNA and -RNA than the two other methods, and particularly provides higher quality microRNAs and genomic DNA for subsequent molecular analyses. SIGNIFICANCE: We determined that co-extraction of genomic DNA and total RNA from a single FFPE specimen is an effective recovery approach to obtain high-quality material for parallel molecular and high-throughput analyses. Our optimized approach provides the option of

  4. Effective DNA/RNA Co-Extraction for Analysis of MicroRNAs, mRNAs, and Genomic DNA from Formalin-Fixed Paraffin-Embedded Specimens

    Science.gov (United States)

    Liu, Christina; Lin, Juan; Ye, Kenny; Kim, Ryung; Hazan, Rachel; Rohan, Thomas; Fineberg, Susan; Loudig, Olivier

    2012-01-01

    Background Retrospective studies of archived human specimens, with known clinical follow-up, are used to identify predictive and prognostic molecular markers of disease. Due to biochemical differences, however, formalin-fixed paraffin-embedded (FFPE) DNA and RNA have generally been extracted separately from either different tissue sections or from the same section by dividing the digested tissue. The former limits accurate correlation whilst the latter is impractical when utilizing rare or limited archived specimens. Principal Findings For effective recovery of genomic DNA and total RNA from a single FFPE specimen, without splitting the proteinase-K digested tissue solution, we optimized a co-extraction method by using TRIzol and purifying DNA from the lower aqueous and RNA from the upper organic phases. Using a series of seven different archived specimens, we evaluated the total amounts of genomic DNA and total RNA recovered by our TRIzol-based co-extraction method and compared our results with those from two commercial kits, the Qiagen AllPrep DNA/RNA FFPE kit, for co-extraction, and the Ambion RecoverAll™ Total Nucleic Acid Isolation kit, for separate extraction of FFPE-DNA and -RNA. Then, to accurately assess the quality of DNA and RNA co-extracted from a single FFPE specimen, we used qRT-PCR, gene expression profiling and methylation assays to analyze microRNAs, mRNAs, and genomic DNA recovered from matched fresh and FFPE MCF10A cells. These experiments show that the TRIzol-based co-extraction method provides larger amounts of FFPE-DNA and –RNA than the two other methods, and particularly provides higher quality microRNAs and genomic DNA for subsequent molecular analyses. Significance We determined that co-extraction of genomic DNA and total RNA from a single FFPE specimen is an effective recovery approach to obtain high-quality material for parallel molecular and high-throughput analyses. Our optimized approach provides the option of collecting DNA, which

  5. InterRNA: a database of base interactions in RNA structures.

    Science.gov (United States)

    Appasamy, Sri Devan; Hamdani, Hazrina Yusof; Ramlan, Effirul Ikhwan; Firdaus-Raih, Mohd

    2016-01-04

    A major component of RNA structure stabilization are the hydrogen bonded interactions between the base residues. The importance and biological relevance for large clusters of base interactions can be much more easily investigated when their occurrences have been systematically detected, catalogued and compared. In this paper, we describe the database InterRNA (INTERactions in RNA structures database-http://mfrlab.org/interrna/) that contains records of known RNA 3D motifs as well as records for clusters of bases that are interconnected by hydrogen bonds. The contents of the database were compiled from RNA structural annotations carried out by the NASSAM (http://mfrlab.org/grafss/nassam) and COGNAC (http://mfrlab.org/grafss/cognac) computer programs. An analysis of the database content and comparisons with the existing corpus of knowledge regarding RNA 3D motifs clearly show that InterRNA is able to provide an extension of the annotations for known motifs as well as able to provide novel interactions for further investigations. © The Author(s) 2015. Published by Oxford University Press on behalf of Nucleic Acids Research.

  6. Soil DNA extraction procedure influences protist 18S rRNA gene community profiling outcome

    DEFF Research Database (Denmark)

    Santos, Susana S.; Nunes, Ines Marques; Nielsen, Tue K.

    2017-01-01

    Advances in sequencing technologies allow deeper studies of the soil protist diversity and function. However, little attention has been given to the impact of the chosen soil DNA extraction procedure to the overall results. We examined the effect of three acknowledged DNA recovery methods, two...... manual methods (ISOm-11063, GnS-GII) and one commercial kit (MoBio), on soil protist community structures obtained from different sites with different land uses. Results from 18S rRNA gene amplicon sequencing suggest that DNA extraction method significantly affect the replicate homogeneity, the total...... number of operational taxonomic units (OTUs) recovered and the overall taxonomic structure and diversity of soil protist communities. However, DNA extraction effects did not overwhelm the natural variation among samples, as the community data still strongly grouped by geographical location...

  7. PmiRKB: a plant microRNA knowledge base.

    Science.gov (United States)

    Meng, Yijun; Gou, Lingfeng; Chen, Dijun; Mao, Chuanzao; Jin, Yongfeng; Wu, Ping; Chen, Ming

    2011-01-01

    MicroRNAs (miRNAs), one type of small RNAs (sRNAs) in plants, play an essential role in gene regulation. Several miRNA databases were established; however, successively generated new datasets need to be collected, organized and analyzed. To this end, we have constructed a plant miRNA knowledge base (PmiRKB) that provides four major functional modules. In the 'SNP' module, single nucleotide polymorphism (SNP) data of seven Arabidopsis (Arabidopsis thaliana) accessions and 21 rice (Oryza sativa) subspecies were collected to inspect the SNPs within pre-miRNAs (precursor microRNAs) and miRNA-target RNA duplexes. Depending on their locations, SNPs can affect the secondary structures of pre-miRNAs, or interactions between miRNAs and their targets. A second module, 'Pri-miR', can be used to investigate the tissue-specific, transcriptional contexts of pre- and pri-miRNAs (primary microRNAs), based on massively parallel signature sequencing data. The third module, 'MiR-Tar', was designed to validate thousands of miRNA-target pairs by using parallel analysis of RNA end (PARE) data. Correspondingly, the fourth module, 'Self-reg', also used PARE data to investigate the metabolism of miRNA precursors, including precursor processing and miRNA- or miRNA*-mediated self-regulation effects on their host precursors. PmiRKB can be freely accessed at http://bis.zju.edu.cn/pmirkb/.

  8. Cryptographic Protocols Based on Root Extracting

    DEFF Research Database (Denmark)

    Koprowski, Maciej

    In this thesis we design new cryptographic protocols, whose security is based on the hardness of root extracting or more speci cally the RSA problem. First we study the problem of root extraction in nite Abelian groups, where the group order is unknown. This is a natural generalization of the...... complexity of root extraction, even if the algorithm can choose the "public exponent'' itself. In other words, both the standard and the strong RSA assumption are provably true w.r.t. generic algorithms. The results hold for arbitrary groups, so security w.r.t. generic attacks follows for any cryptographic...... construction based on root extracting. As an example of this, we modify Cramer-Shoup signature scheme such that it becomes a genericm algorithm. We discuss then implementing it in RSA groups without the original restriction that the modulus must be a product of safe primes. It can also be implemented in class...

  9. Development of a Nucleic Acid Extraction Procedure for Simultaneous Recovery of DNA and RNA from Diverse Microbes in Water

    Directory of Open Access Journals (Sweden)

    Vincent R. Hill

    2015-05-01

    Full Text Available Drinking and environmental water samples contain a diverse array of constituents that can interfere with molecular testing techniques, especially when large volumes of water are concentrated to the small volumes needed for effective molecular analysis. In this study, a suite of enteric viruses, bacteria, and protozoan parasites were seeded into concentrated source water and finished drinking water samples, in order to investigate the relative performance of nucleic acid extraction techniques for molecular testing. Real-time PCR and reverse transcription-PCR crossing threshold (CT values were used as the metrics for evaluating relative performance. Experimental results were used to develop a guanidinium isothiocyanate-based lysis buffer (UNEX buffer that enabled effective simultaneous extraction and recovery of DNA and RNA from the suite of study microbes. Procedures for bead beating, nucleic acid purification, and PCR facilitation were also developed and integrated in the protocol. The final lysis buffer and sample preparation procedure was found to be effective for a panel of drinking water and source water concentrates when compared to commercial nucleic acid extraction kits. The UNEX buffer-based extraction protocol enabled PCR detection of six study microbes, in 100 L finished water samples from four drinking water treatment facilities, within three CT values (i.e., within 90% difference of the reagent-grade water control. The results from this study indicate that this newly formulated lysis buffer and sample preparation procedure can be useful for standardized molecular testing of drinking and environmental waters.

  10. In situ, real-time catabolic gene expression: Extraction and characterization of naphthalene dioxygenase mRNA transcripts from groundwater

    International Nuclear Information System (INIS)

    Wilson, M.S.; Bakermans, C.; Madsen, E.L.

    1999-01-01

    The authors developed procedures for isolating and characterizing in situ-transcribed mRNA from groundwater microorganisms catabolizing naphthalene at a coal tar waste-contaminated site. Groundwater was pumped through 0.22-microm-pore-size filters, which were then frozen to dry ice-ethanol. RNA was extracted from the frozen filters by boiling sodium dodecyl sulfate lysis and acidic phenol-chloroform extraction. Transcript characterization was performed with a series of PCR primers designed to amplify nahAc homologs. Several primer pairs were found to amplify nahAc homologs representing the entire diversity of the naphthalene-degrading genes. The environmental RNA extract was reverse transcribed, and the resultant mixture of cDNAs was amplified by PCR. A digoxigenin-labeled probe mixture was produced by PCR amplification of groundwater cDNA. This probe mixture hybridized under stringent conditions with the corresponding PCR products from naphthalene-degrading bacteria carrying a variety of nahAc homologs, indicating that diverse dioxygenase transcripts had been retrieved from groundwater. Diluted and undiluted cDNA preparations were independently amplified, and 28 of the resulting PCR products were cloned and sequenced. Sequence comparisons revealed two major groups related to the dioxygenase genes ndoB and dntAc, previously cloned from Pseudomonas putida NCIB 9816-4 and Burkholderia sp. strain DNT, respectively. A distinctive subgroup of sequences was found only in experiments performed with the undiluted cDNA preparation. To the authors' knowledge, these results are the first to directly document in situ transcription of genes encoding naphthalene catabolism at a contaminated site by indigenous microorganisms. The retrieved sequences represent greater diversity than has been detected at the study site by culture-based approaches

  11. MiRNA-based Therapeutics for Lung Cancer.

    Science.gov (United States)

    Wu, Miaowei; Wang, Guosheng; Tian, Wei; Deng, Yongchuan; Xu, Yibing

    2018-02-12

    miRNA, a small non-coding RNA molecule containing about 22 nucleotides, functions in RNA silencing and post-transcriptional regulation of gene expression. With these qualities, miRNAs modulate multiple signaling pathways involved in cancer development, such as cellular proliferation, apoptosis, and migration. The goal of this review is to discuss possible miRNAs-based therapeutic strategies, through defining performance of miRNAs in carcinogenesis, in particular in lung cancer. miRNA, a non-coding RNA, is divided into two main types: tumor suppressor miRNAs and oncogenic miRNAs. In addition, special processed miRNAs can be an assistant therapeutic tool. In order to develope antitumor therapy, miRNAs-based therapeutic strategies are worth of deeper studies. In this process, the stability, effectiveness, and side effects should be considered. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.

  12. A versatile approach to multiple gene RNA interference using microRNA-based short hairpin RNAs

    Directory of Open Access Journals (Sweden)

    Kivork Christine

    2007-10-01

    Full Text Available Abstract Background Effective and stable knockdown of multiple gene targets by RNA interference is often necessary to overcome isoform redundancy, but it remains a technical challenge when working with intractable cell systems. Results We have developed a flexible platform using RNA polymerase II promoter-driven expression of microRNA-like short hairpin RNAs which permits robust depletion of multiple target genes from a single transcript. Recombination-based subcloning permits expression of multi-shRNA transcripts from a comprehensive range of plasmid or viral vectors. Retroviral delivery of transcripts targeting isoforms of cAMP-dependent protein kinase in the RAW264.7 murine macrophage cell line emphasizes the utility of this approach and provides insight to cAMP-dependent transcription. Conclusion We demonstrate functional consequences of depleting multiple endogenous target genes using miR-shRNAs, and highlight the versatility of the described vector platform for multiple target gene knockdown in mammalian cells.

  13. miRNA-target prediction based on transcriptional regulation

    Directory of Open Access Journals (Sweden)

    Fujiwara Toyofumi

    2013-02-01

    Full Text Available Abstract Background microRNAs (miRNAs are tiny endogenous RNAs that have been discovered in animals and plants, and direct the post-transcriptional regulation of target mRNAs for degradation or translational repression via binding to the 3'UTRs and the coding exons. To gain insight into the biological role of miRNAs, it is essential to identify the full repertoire of mRNA targets (target genes. A number of computer programs have been developed for miRNA-target prediction. These programs essentially focus on potential binding sites in 3'UTRs, which are recognized by miRNAs according to specific base-pairing rules. Results Here, we introduce a novel method for miRNA-target prediction that is entirely independent of existing approaches. The method is based on the hypothesis that transcription of a miRNA and its target genes tend to be co-regulated by common transcription factors. This hypothesis predicts the frequent occurrence of common cis-elements between promoters of a miRNA and its target genes. That is, our proposed method first identifies putative cis-elements in a promoter of a given miRNA, and then identifies genes that contain common putative cis-elements in their promoters. In this paper, we show that a significant number of common cis-elements occur in ~28% of experimentally supported human miRNA-target data. Moreover, we show that the prediction of human miRNA-targets based on our method is statistically significant. Further, we discuss the random incidence of common cis-elements, their consensus sequences, and the advantages and disadvantages of our method. Conclusions This is the first report indicating prevalence of transcriptional regulation of a miRNA and its target genes by common transcription factors and the predictive ability of miRNA-targets based on this property.

  14. Cytochrome c oxidase subunit 1-based human RNA quantification to enhance mRNA profiling in forensic biology

    Directory of Open Access Journals (Sweden)

    Dong Zhao

    2017-01-01

    Full Text Available RNA analysis offers many potential applications in forensic science, and molecular identification of body fluids by analysis of cell-specific RNA markers represents a new technique for use in forensic cases. However, due to the nature of forensic materials that often admixed with nonhuman cellular components, human-specific RNA quantification is required for the forensic RNA assays. Quantification assay for human RNA has been developed in the present study with respect to body fluid samples in forensic biology. The quantitative assay is based on real-time reverse transcription-polymerase chain reaction of mitochondrial RNA cytochrome c oxidase subunit I and capable of RNA quantification with high reproducibility and a wide dynamic range. The human RNA quantification improves the quality of mRNA profiling in the identification of body fluids of saliva and semen because the quantification assay can exclude the influence of nonhuman components and reduce the adverse affection from degraded RNA fragments.

  15. Evaluation of different pulverisation methods for RNA extraction in squash fruit: lyophilisation, cryogenic mill and mortar grinding.

    Science.gov (United States)

    Román, Belén; González-Verdejo, Clara I; Peña, Francisco; Nadal, Salvador; Gómez, Pedro

    2012-01-01

    Quality and integrity of RNA are critical for transcription studies in plant molecular biology. In squash fruit and other high water content crops, the grinding of tissue with mortar and pestle in liquid nitrogen fails to produce a homogeneous and fine powered sample desirable to ensure a good penetration of the extraction reagent. To develop an improved pulverisation method to facilitate the homogenisation process of squash fruit tissue prior to RNA extraction without reducing quality and yield of the extracted RNA. Three methods of pulverisation, each followed by the same extraction protocol, were compared. The first approach consisted of the lyophilisation of the sample in order to remove the excess of water before grinding, the second one used a cryogenic mill and the control one a mortar grinding of frozen tissue. The quality of the isolated RNA was tested by carrying out a quantitative real time downstream amplification. In the three situations considered, mean values for A(260) /A(280) indicated minimal interference by proteins and RNA quality indicator (RQI) values were considered appropriate for quantitative real-time polymerase chain reaction (qRT-PCR) amplification. Successful qRT-PCR amplifications were obtained with cDNA isolated with the three protocols. Both apparatus can improve and facilitate the grinding step in the RNA extraction process in zucchini, resulting in isolated RNA of high quality and integrity as revealed by qRT-PCR downstream application. This is apparently the first time that a cryogenic mill has been used to prepare fruit samples for RNA extraction, thereby improving the sampling strategy because the fine powder obtained represents a homogeneous mix of the organ tissue. Copyright © 2012 John Wiley & Sons, Ltd.

  16. Feature Extraction Based on Decision Boundaries

    Science.gov (United States)

    Lee, Chulhee; Landgrebe, David A.

    1993-01-01

    In this paper, a novel approach to feature extraction for classification is proposed based directly on the decision boundaries. We note that feature extraction is equivalent to retaining informative features or eliminating redundant features; thus, the terms 'discriminantly information feature' and 'discriminantly redundant feature' are first defined relative to feature extraction for classification. Next, it is shown how discriminantly redundant features and discriminantly informative features are related to decision boundaries. A novel characteristic of the proposed method arises by noting that usually only a portion of the decision boundary is effective in discriminating between classes, and the concept of the effective decision boundary is therefore introduced. Next, a procedure to extract discriminantly informative features based on a decision boundary is proposed. The proposed feature extraction algorithm has several desirable properties: (1) It predicts the minimum number of features necessary to achieve the same classification accuracy as in the original space for a given pattern recognition problem; and (2) it finds the necessary feature vectors. The proposed algorithm does not deteriorate under the circumstances of equal class means or equal class covariances as some previous algorithms do. Experiments show that the performance of the proposed algorithm compares favorably with those of previous algorithms.

  17. Reconstruction and analysis of the lncRNA-miRNA-mRNA network based on competitive endogenous RNA reveal functional lncRNAs in rheumatoid arthritis.

    Science.gov (United States)

    Jiang, Hui; Ma, Rong; Zou, Shubiao; Wang, Yongzhong; Li, Zhuqing; Li, Weiping

    2017-06-01

    Rheumatoid arthritis (RA) is an autoimmune disease with an unknown etiology, occurring in approximately 1.0% of general population. More and more studies have suggested that long non-coding RNAs (lncRNAs) could play important roles in various biological processes and be associated with the pathogenesis of different kinds of diseases including RA. Although a large number of lncRNAs have been found, our knowledge of their function and physiological/pathological significance is still in its infancy. In order to reveal functional lncRNAs and identify the key lncRNAs in RA, we reconstructed a global triple network based on the competitive endogenous RNA (ceRNA) theory using the data from National Center for Biotechnology Information Gene Expression Omnibus and our previous paper. Meanwhile, Gene Ontology (GO) and pathway analysis were performed using Cytoscape plug-in BinGO and Database for Annotation, Visualization, and Integration Discovery (DAVID), respectively. We found that the lncRNA-miRNA-mRNA network was composed of 7 lncRNA nodes, 90 mRNA nodes, 24 miRNA nodes, and 301 edges. The functional assay showed that 147 GO terms and 23 pathways were enriched. In addition, three lncRNAs (S5645.1, XR_006437.1, J01878) were highly related to RA, and therefore, were selected as key lncRNAs. This study suggests that specific lncRNAs are associated with the development of RA, and three lncRNAs (S5645.1, XR_006437.1, J01878) could be used as potential diagnostic biomarkers and therapeutic targets.

  18. Base pairing in RNA structures: A computational analysis of ...

    Indian Academy of Sciences (India)

    WINTEC

    PDB files using RASMOL18 software. Hydrogen atoms were added to these base pairs using MOLDEN19 software. The sugar portions attached to base pairs in. RNA structures were removed, and C1′ atoms were respectively replaced by hydrogen atoms during model building. The change in base pair geometry on re-.

  19. Predicting siRNA efficacy based on multiple selective siRNA representations and their combination at score level

    Science.gov (United States)

    He, Fei; Han, Ye; Gong, Jianting; Song, Jiazhi; Wang, Han; Li, Yanwen

    2017-03-01

    Small interfering RNAs (siRNAs) may induce to targeted gene knockdown, and the gene silencing effectiveness relies on the efficacy of the siRNA. Therefore, the task of this paper is to construct an effective siRNA prediction method. In our work, we try to describe siRNA from both quantitative and qualitative aspects. For quantitative analyses, we form four groups of effective features, including nucleotide frequencies, thermodynamic stability profile, thermodynamic of siRNA-mRNA interaction, and mRNA related features, as a new mixed representation, in which thermodynamic of siRNA-mRNA interaction is introduced to siRNA efficacy prediction for the first time to our best knowledge. And then an F-score based feature selection is employed to investigate the contribution of each feature and remove the weak relevant features. Meanwhile, we encode the siRNA sequence and existed empirical design rules as a qualitative siRNA representation. These two kinds of siRNA representations are combined to predict siRNA efficacy by supported Vector Regression (SVR) at score level. The experimental results indicate that our method may select the features with powerful discriminative ability and make the two kinds of siRNA representations work at full capacity. The prediction results also demonstrate that our method can outperform other popular siRNA efficacy prediction algorithms.

  20. Urinary RNA-based biomarkers for prostate cancer detection.

    Science.gov (United States)

    Martignano, Filippo; Rossi, Lorena; Maugeri, Antonio; Gallà, Valentina; Conteduca, Vincenza; De Giorgi, Ugo; Casadio, Valentina; Schepisi, Giuseppe

    2017-10-01

    Prostate cancer (PCa) is the commonest malignancy in the male population worldwide. Serum prostate specific antigen (PSA) test is the most important biomarker for the detection, follow-up and therapeutic monitoring of PCa. Defects in PSA specificity have elicited research for new biomarkers to improve early diagnosis and avoid false-positive results. This review evaluates urinary RNA-based biomarkers. Urine is a versatile body fluid for non-invasive biomarker detection in case of urological malignancies. The importance of RNA-based biomarkers has been demonstrated by the current use of PCA3, a long non coding RNA biomarker already approved by the Food and Drugs Administration. Through the years, other urinary RNA biomarkers have been evaluated, including the well-known TMPRSS2:ERG transcript, as well as many messenger RNAs, long non coding RNAs and micro-RNA. Validation of a specific urinary RNA-based marker or an algorithm of different biomarkers levels as diagnostic markers for PCa could be useful to avoid unnecessary prostate biopsies. Copyright © 2017 Elsevier B.V. All rights reserved.

  1. Efficient extraction of small and large RNAs in bacteria for excellent total RNA sequencing and comprehensive transcriptome analysis.

    Science.gov (United States)

    Heera, Rajandas; Sivachandran, Parimannan; Chinni, Suresh V; Mason, Joanne; Croft, Larry; Ravichandran, Manickam; Yin, Lee Su

    2015-12-08

    Next-generation transcriptome sequencing (RNA-Seq) has become the standard practice for studying gene splicing, mutations and changes in gene expression to obtain valuable, accurate biological conclusions. However, obtaining good sequencing coverage and depth to study these is impeded by the difficulties of obtaining high quality total RNA with minimal genomic DNA contamination. With this in mind, we evaluated the performance of Phenol-free total RNA purification kit (Amresco) in comparison with TRI Reagent (MRC) and RNeasy Mini (Qiagen) for the extraction of total RNA of Pseudomonas aeruginosa which was grown in glucose-supplemented (control) and polyethylene-supplemented (growth-limiting condition) minimal medium. All three extraction methods were coupled with an in-house DNase I treatment before the yield, integrity and size distribution of the purified RNA were assessed. RNA samples extracted with the best extraction kit were then sequenced using the Illumina HiSeq 2000 platform. TRI Reagent gave the lowest yield enriched with small RNAs (sRNAs), while RNeasy gave moderate yield of good quality RNA with trace amounts of sRNAs. The Phenol-free kit, on the other hand, gave the highest yield and the best quality RNA (RIN value of 9.85 ± 0.3) with good amounts of sRNAs. Subsequent bioinformatic analysis of the sequencing data revealed that 5435 coding genes, 452 sRNAs and 7 potential novel intergenic sRNAs were detected, indicating excellent sequencing coverage across RNA size ranges. In addition, detection of low abundance transcripts and consistency of their expression profiles across replicates from the same conditions demonstrated the reproducibility of the RNA extraction technique. Amresco's Phenol-free Total RNA purification kit coupled with DNase I treatment yielded the highest quality RNAs containing good ratios of high and low molecular weight transcripts with minimal genomic DNA. These RNA extracts gave excellent non-biased sequencing coverage useful

  2. Sample preparation for avian and porcine influenza virus cDNA amplification simplified: Boiling vs. conventional RNA extraction.

    Science.gov (United States)

    Fereidouni, Sasan R; Starick, Elke; Ziller, Mario; Harder, Timm C; Unger, Hermann; Hamilton, Keith; Globig, Anja

    2015-09-01

    RNA extraction and purification is a fundamental step that allows for highly sensitive amplification of specific RNA targets in PCR applications. However, commercial extraction kits that are broadly used because of their robustness and high yield of purified RNA are expensive and labor-intensive. In this study, boiling in distilled water or a commercial lysis buffer of different sample matrices containing avian or porcine influenza viruses was tested as an alternative. Real-time PCR (RTqPCR) for nucleoprotein gene fragment was used as read out. Results were compared with freshly extracted RNA by use of a commercial extraction kit. Different batches of virus containing materials, including diluted virus positive allantoic fluid or cell culture supernatant, and avian faecal, cloacal or oropharyngeal swab samples were used in this study. Simple boiling of samples without any additional purification steps can be used as an alternative RNA preparation method to detect influenza A virus nucleoprotein RNA in oropharyngeal swab samples, allantoic fluid or cell-culture supernatant. The boiling method is not applicable for sample matrices containing faecal material. Copyright © 2015 Elsevier B.V. All rights reserved.

  3. Lab-on-a-chip mRNA purification and reverse transcription via a solid-phase gene extraction technique.

    Science.gov (United States)

    Nestorova, Gergana G; Hasenstein, Karl; Nguyen, Nam; DeCoster, Mark A; Crews, Niel D

    2017-03-14

    Extraction and purification of high quality RNA is a crucial initial step required for a variety of genomic assays. We report a solid phase gene extraction (SPGE) method for automated extraction, purification and reverse transcription of mRNA in a microfluidic device. This is performed using a 130 μm diameter stainless steel needle that is amino-linked to dT(15) oligonucleotides for selective hybridization of mRNA. By inserting this probe into the biological sample for only 30 seconds, mRNA is captured with high selectivity and a yield greater than 10 pg per mm of probe length. The probe is then inserted into a lab-on-a-chip device, where the bound poly-adenylated RNA is thermally released and immediately reverse transcribed for subsequent PCR amplification. The insertion of the probe into the microfluidic device is straightforward: the microchannel is formed with an elastomer (PDMS) that, when punctured, will seal around the probe. The specificity and RNA loading capacity of the probes were evaluated using conventional qPCR. This procedure was successfully used to extract, purify, and transcribe mRNA from rat glioblastoma cell spheroids in less than seven minutes. Analysis of the product confirmed that the SPGE technique selectively captures and inherently purifies high-quality mRNA directly from biological material with no need for additional pre-processing steps. Integrating this elegant sample preparation method into a complete lab-on-a-chip system will substantially enhance the speed and automation of mRNA assays for research and clinical diagnostics.

  4. Protocol: high throughput silica-based purification of RNA from Arabidopsis seedlings in a 96-well format

    Directory of Open Access Journals (Sweden)

    Salvo-Chirnside Eliane

    2011-12-01

    Full Text Available Abstract The increasing popularity of systems-based approaches to plant research has resulted in a demand for high throughput (HTP methods to be developed. RNA extraction from multiple samples in an experiment is a significant bottleneck in performing systems-level genomic studies. Therefore we have established a high throughput method of RNA extraction from Arabidopsis thaliana to facilitate gene expression studies in this widely used plant model. We present optimised manual and automated protocols for the extraction of total RNA from 9-day-old Arabidopsis seedlings in a 96 well plate format using silica membrane-based methodology. Consistent and reproducible yields of high quality RNA are isolated averaging 8.9 μg total RNA per sample (~20 mg plant tissue. The purified RNA is suitable for subsequent qPCR analysis of the expression of over 500 genes in triplicate from each sample. Using the automated procedure, 192 samples (2 × 96 well plates can easily be fully processed (samples homogenised, RNA purified and quantified in less than half a day. Additionally we demonstrate that plant samples can be stored in RNAlater at -20°C (but not 4°C for 10 months prior to extraction with no significant effect on RNA yield or quality. Additionally, disrupted samples can be stored in the lysis buffer at -20°C for at least 6 months prior to completion of the extraction procedure providing a flexible sampling and storage scheme to facilitate complex time series experiments.

  5. Simultaneous DNA-RNA Extraction from Coastal Sediments and Quantification of 16S rRNA Genes and Transcripts by Real-time PCR.

    Science.gov (United States)

    Tatti, Enrico; McKew, Boyd A; Whitby, Corrine; Smith, Cindy J

    2016-06-11

    Real Time Polymerase Chain Reaction also known as quantitative PCR (q-PCR) is a widely used tool in microbial ecology to quantify gene abundances of taxonomic and functional groups in environmental samples. Used in combination with a reverse transcriptase reaction (RT-q-PCR), it can also be employed to quantify gene transcripts. q-PCR makes use of highly sensitive fluorescent detection chemistries that allow quantification of PCR amplicons during the exponential phase of the reaction. Therefore, the biases associated with 'end-point' PCR detected in the plateau phase of the PCR reaction are avoided. A protocol to quantify bacterial 16S rRNA genes and transcripts from coastal sediments via real-time PCR is provided. First, a method for the co-extraction of DNA and RNA from coastal sediments, including the additional steps required for the preparation of DNA-free RNA, is outlined. Second, a step-by-step guide for the quantification of 16S rRNA genes and transcripts from the extracted nucleic acids via q-PCR and RT-q-PCR is outlined. This includes details for the construction of DNA and RNA standard curves. Key considerations for the use of RT-q-PCR assays in microbial ecology are included.

  6. SPIDIA-RNA: second external quality assessment for the pre-analytical phase of blood samples used for RNA based analyses.

    Directory of Open Access Journals (Sweden)

    Francesca Malentacchi

    Full Text Available One purpose of the EC funded project, SPIDIA, is to develop evidence-based quality guidelines for the pre-analytical handling of blood samples for RNA molecular testing. To this end, two pan-European External Quality Assessments (EQAs were implemented. Here we report the results of the second SPIDIA-RNA EQA. This second study included modifications in the protocol related to the blood collection process, the shipping conditions and pre-analytical specimen handling for participants. Participating laboratories received two identical proficiency blood specimens collected in tubes with or without an RNA stabilizer. For pre-defined specimen storage times and temperatures, laboratories were asked to perform RNA extraction from whole blood according to their usual procedure and to return extracted RNA to the SPIDIA facility for further analysis. These RNA samples were evaluated for purity, yield, integrity, stability, presence of interfering substances, and gene expression levels for the validated markers of RNA stability: FOS, IL1B, IL8, GAPDH, FOSB and TNFRSF10c. Analysis of the gene expression results of FOS, IL8, FOSB, and TNFRSF10c, however, indicated that the levels of these transcripts were significantly affected by blood collection tube type and storage temperature. These results demonstrated that only blood collection tubes containing a cellular RNA stabilizer allowed reliable gene expression analysis within 48 h from blood collection for all the genes investigated. The results of these two EQAs have been proposed for use in the development of a Technical Specification by the European Committee for Standardization.

  7. Current Progress of RNA Aptamer-Based Therapeutics

    Science.gov (United States)

    Zhou, Jiehua; Bobbin, Maggie L.; Burnett, John C.; Rossi, John J.

    2012-01-01

    Aptamers are single-stranded nucleic acids that specifically recognize and bind tightly to their cognate targets due to their stable three-dimensional structure. Nucleic acid aptamers have been developed for various applications, including diagnostics, molecular imaging, biomarker discovery, target validation, therapeutics, and drug delivery. Due to their high specificity and binding affinity, aptamers directly block or interrupt the functions of target proteins making them promising therapeutic agents for the treatment of human maladies. Additionally, aptamers that bind to cell surface proteins are well suited for the targeted delivery of other therapeutics, such as conjugated small interfering RNAs (siRNA) that induce RNA interference (RNAi). Thus, aptamer-siRNA chimeras may offer dual-functions, in which the aptamer inhibits a receptor function, while the siRNA internalizes into the cell to target a specific mRNA. This review focuses on the current progress and therapeutic potential of RNA aptamers, including the use of cell-internalizing aptamers as cell-type specific delivery vehicles for targeted RNAi. In particular, we discuss emerging aptamer-based therapeutics that provide unique clinical opportunities for the treatment various cancers and neurological diseases. PMID:23130020

  8. Current progress of RNA aptamer-based therapeutics

    Directory of Open Access Journals (Sweden)

    Jiehua eZhou

    2012-11-01

    Full Text Available Aptamers are single-stranded nucleic acids that specifically recognize and bind tightly to their cognate targets due to their stable three-dimensional structure. Nucleic acid aptamers have been developed for various applications, including diagnostics, molecular imaging, biomarker discovery, target validation, therapeutics and drug delivery. Due to their high specificity and binding affinity, aptamers directly block or interrupt the functions of target proteins making them promising therapeutic agents for the treatment of human maladies. Additionally, aptamers that bind to cell surface proteins are well suited for the targeted delivery of other therapeutics, such as conjugated small interfering RNAs (siRNA that induce RNA interference (RNAi. Thus, aptamer-siRNA chimeras may offer dual-functions, in which the aptamer inhibits a receptor function, while the siRNA internalizes into the cell to target a specific mRNA. This review focuses on the current progress and therapeutic potential of RNA aptamers, including the use of cell-internalizing aptamers as cell-type specific delivery vehicles for targeted RNAi. In particular, we discuss emerging aptamer-based therapeutics that provide unique clinical opportunities for the treatment various cancers and neurological diseases.

  9. DNA nanostructure-based ultrasensitive electrochemical microRNA biosensor.

    Science.gov (United States)

    Wen, Yanli; Liu, Gang; Pei, Hao; Li, Lanying; Xu, Qin; Liang, Wen; Li, Yan; Xu, Li; Ren, Suzhen; Fan, Chunhai

    2013-12-15

    MicroRNAs (miRNAs) are key regulators of a wide range of cellular processes, and have been identified as promising cancer biomarkers due to their stable presence in serum. As an surface-based electrochemical biosensors which offer great opportunities for low-cost, point-of-care tests (POCTs) of disease-associated miRNAs. Nevertheless, the sensitivity of miRNA sensors is often limited by mass transport and the surface crowding effect at the water-electrode interface. Here, we present a protocol as well as guidelines for ultrasensitive detection of miRNA with DNA nanostructure-based electrochemical miRNA biosensor. By employing the three-dimensional DNA nanostructure-based interfacial engineering approach, we can directly detect as few as attomolar (electrochemical miRNA sensor (EMRS) is highly reproducible and essentially free of prior target labeling and PCR amplification, it can conveniently and reliably analyze miRNA expression levels in clinical samples from esophageal squamous cell carcinoma (ESCC) patients. Copyright © 2013 Elsevier Inc. All rights reserved.

  10. [Manual microdissection of defined cells and RNA extraction for gene expression analysis of esophageal carcinoma progress].

    Science.gov (United States)

    Hu, Sheng-ping; Zhang, Ke-hao; Shen, Zhong-ying; Wu, Ming-yao; Deng, Xiao-ling; Yang, Jie-sheng; Fang, Fu-de

    2003-12-01

    To isolate cells of interest from heterogeneous tissue blocks to obtain accurate representations of molecular alterations acquired by neoplastic cells so as to meet the demands of further study on gene expression patterns of the esophageal carcinoma (EC) evolution. Blocks of EC were stored at -70 degrees C as close as possible to the time of surgical resection. The tissue block was embedded in OCT and frozen sections of 35 microns in thickness were cut in a cryostat under strict RNAse-free conditions. Individual frozen sections were mounted on plain glass slides and 30-gauge needle attached to a 1 ml syringe was used to microdissect defined cells in the sections. The procured cells were used for total RNA extraction. An optimized protocol of manual microdissection was developed successfully whereby regions with an area as small as 1/25 mm2 could be accurately dissected. The RNA recovered from procured cells was of high quality suitable for subsequent applications of molecular analysis as assessed of 18S and 28S rRNAs by electrophoresis on agarose gel. It is believed that manual microdissection is capable to procure defined cell populations from complex primary tissues, thus allowing investigation of tissue-, cell-, and function-specific gene expression patterns. The technique is simple, easy to perform, versatile, and of particular usefulness when laser capture microdissection (LCM) is practically unavailable.

  11. A modular method for the extraction of DNA and RNA, and the separation of DNA pools from diverse environmental sample types

    Science.gov (United States)

    Lever, Mark A.; Torti, Andrea; Eickenbusch, Philip; Michaud, Alexander B.; Šantl-Temkiv, Tina; Jørgensen, Bo Barker

    2015-01-01

    A method for the extraction of nucleic acids from a wide range of environmental samples was developed. This method consists of several modules, which can be individually modified to maximize yields in extractions of DNA and RNA or separations of DNA pools. Modules were designed based on elaborate tests, in which permutations of all nucleic acid extraction steps were compared. The final modular protocol is suitable for extractions from igneous rock, air, water, and sediments. Sediments range from high-biomass, organic rich coastal samples to samples from the most oligotrophic region of the world's oceans and the deepest borehole ever studied by scientific ocean drilling. Extraction yields of DNA and RNA are higher than with widely used commercial kits, indicating an advantage to optimizing extraction procedures to match specific sample characteristics. The ability to separate soluble extracellular DNA pools without cell lysis from intracellular and particle-complexed DNA pools may enable new insights into the cycling and preservation of DNA in environmental samples in the future. A general protocol is outlined, along with recommendations for optimizing this general protocol for specific sample types and research goals. PMID:26042110

  12. Advancing forensic RNA typing: On non-target secretions, a nasal mucosa marker, a differential co-extraction protocol and the sensitivity of DNA and RNA profiling.

    Science.gov (United States)

    van den Berge, Margreet; Bhoelai, Bryan; Harteveld, Joyce; Matai, Anuska; Sijen, Titia

    2016-01-01

    The forensic identification of human body fluids and tissues by means of messenger RNA (mRNA) profiling is a long studied methodology that is increasingly applied to casework samples. Previously, we have described an mRNA multiplex system that targets blood, saliva, semen, menstrual secretion, vaginal mucosa and skin (Lindenbergh et al. and van den Berge et al.). In this study we consider various topics to improve this mRNA profiling system or its use and adapt the method accordingly. Bodily secretions that may be encountered at a crime scene whilst not targeted by the multiplex-id est nasal mucosa, sweat, tears, faeces and urine-were examined for false positive signals. The results prompted us to identify a nasal mucosa marker that allows the discrimination of nasal mucosa from saliva or vaginal mucosa and nosebleed blood from peripheral blood. An updated version of the multiplex was prepared to which the nasal mucosa marker was added and in which markers for semen, vaginal mucosa and blood were replaced. Lactobacillus markers were regarded unsuitable as replacement for vaginal mucosa mRNA markers because of background signals on penile swabs that appeared devoid of female DNA. Furthermore, we provide approaches to deal with highly unbalanced mixtures. First, a differential extraction protocol was incorporated into a co-extraction protocol to allow DNA and RNA analysis of separated non-sperm and sperm fractions. In a second approach, besides the standard multiplex, a customized multiplex is used which excludes markers for prevailing cell types. This allows the use of lower cDNA inputs for the prevailing cell types and higher inputs for cell types that appear masked. Additionally, we assessed the relation between the percentage of alleles or markers detected in DNA or RNA profiles when decreasing sample amounts are analysed. While blood, saliva, semen and menstrual secretion show the trend that DNA profiling is more sensitive than RNA profiling, the reverse is seen

  13. Selective electromembrane extraction based on isoelectric point

    DEFF Research Database (Denmark)

    Huang, Chuixiu; Gjelstad, Astrid; Pedersen-Bjergaard, Stig

    2015-01-01

    above the pI value (pH 5.13) was found to be optimal. Under the optimal conditions, 73% of AT2 AP (RSD 13%) and 48% of L-Enke (RSD 5%) were found in the solution after this two-step EME process, whereas the other three positively charged peptides were not detected. The observations above indicated......For the first time, selective isolation of a target peptide based on the isoelectric point (pI) was achieved using a two-step electromembrane extraction (EME) approach with a thin flat membrane-based EME device. In this approach, step #1 was an extraction process, where both the target peptide...... angiotensin II antipeptide (AT2 AP, pI=5.13) and the matrix peptides (pI>5.13) angiotensin II (AT2), neurotensin (NT), angiotensin I (AT1) and leu-enkephalin (L-Enke) were all extracted as net positive species from the sample (pH 3.50), through a supported liquid membrane (SLM) of 1-nonanol diluted with 2...

  14. RNA-Based Assessment of Diversity and Composition of Active Archaeal Communities in the German Bight

    Directory of Open Access Journals (Sweden)

    Bernd Wemheuer

    2012-01-01

    Full Text Available Archaea play an important role in various biogeochemical cycles. They are known extremophiles inhabiting environments such as thermal springs or hydrothermal vents. Recent studies have revealed a significant abundance of Archaea in moderate environments, for example, temperate sea water. Nevertheless, the composition and ecosystem function of these marine archaeal communities is largely unknown. To assess diversity and composition of active archaeal communities in the German Bight, seven marine water samples were taken and studied by RNA-based analysis of ribosomal 16S rRNA. For this purpose, total RNA was extracted from the samples and converted to cDNA. Archaeal community structures were investigated by pyrosequencing-based analysis of 16S rRNA amplicons generated from cDNA. To our knowledge, this is the first study combining next-generation sequencing and metatranscriptomics to study archaeal communities in marine habitats. The pyrosequencing-derived dataset comprised 62,045 archaeal 16S rRNA sequences. We identified Halobacteria as the predominant archaeal group across all samples with increased abundance in algal blooms. Thermoplasmatales (Euryarchaeota and the Marine Group I (Thaumarchaeota were identified in minor abundances. It is indicated that archaeal community patterns were influenced by environmental conditions.

  15. Modified kernel-based nonlinear feature extraction.

    Energy Technology Data Exchange (ETDEWEB)

    Ma, J. (Junshui); Perkins, S. J. (Simon J.); Theiler, J. P. (James P.); Ahalt, S. (Stanley)

    2002-01-01

    Feature Extraction (FE) techniques are widely used in many applications to pre-process data in order to reduce the complexity of subsequent processes. A group of Kernel-based nonlinear FE ( H E ) algorithms has attracted much attention due to their high performance. However, a serious limitation that is inherent in these algorithms -- the maximal number of features extracted by them is limited by the number of classes involved -- dramatically degrades their flexibility. Here we propose a modified version of those KFE algorithms (MKFE), This algorithm is developed from a special form of scatter-matrix, whose rank is not determined by the number of classes involved, and thus breaks the inherent limitation in those KFE algorithms. Experimental results suggest that MKFE algorithm is .especially useful when the training set is small.

  16. Automated, simple, and efficient influenza RNA extraction from clinical respiratory swabs using TruTip and epMotion.

    Science.gov (United States)

    Griesemer, Sara B; Holmberg, Rebecca; Cooney, Christopher G; Thakore, Nitu; Gindlesperger, Alissa; Knickerbocker, Christopher; Chandler, Darrell P; St George, Kirsten

    2013-09-01

    Rapid, simple and efficient influenza RNA purification from clinical samples is essential for sensitive molecular detection of influenza infection. Automation of the TruTip extraction method can increase sample throughput while maintaining performance. To automate TruTip influenza RNA extraction using an Eppendorf epMotion robotic liquid handler, and to compare its performance to the bioMerieux easyMAG and Qiagen QIAcube instruments. Extraction efficacy and reproducibility of the automated TruTip/epMotion protocol was assessed from influenza-negative respiratory samples spiked with influenza A and B viruses. Clinical extraction performance from 170 influenza A and B-positive respiratory swabs was also evaluated and compared using influenza A and B real-time RT-PCR assays. TruTip/epMotion extraction efficacy was 100% in influenza virus-spiked samples with at least 745 influenza A and 370 influenza B input gene copies per extraction, and exhibited high reproducibility over four log10 concentrations of virus (extraction were also positive following TruTip extraction. Overall Ct value differences obtained between TruTip/epMotion and easyMAG/QIAcube clinical extracts ranged from 1.24 to 1.91. Pairwise comparisons of Ct values showed a high correlation of the TruTip/epMotion protocol to the other methods (R2>0.90). The automated TruTip/epMotion protocol is a simple and rapid extraction method that reproducibly purifies influenza RNA from respiratory swabs, with comparable efficacy and efficiency to both the easyMAG and QIAcube instruments. Copyright © 2013 Elsevier B.V. All rights reserved.

  17. siRNA delivery with lipid-based systems

    DEFF Research Database (Denmark)

    Foged, Camilla

    2012-01-01

    in vivo, toxicity and non-specific stimulation of the immune system. To optimally design and tailor the lipidic systems for siRNA delivery, better insight is needed into the mechanisms of cell delivery. More specifically, further clarification is need regarding the nature of cell surface interactions......, routes of internalization, passage of intracellular membranes, and mechanisms of immune activation. This review provides an overview of the main constituents currently employed in lipid-based siRNA carriers, and recent research into improvements of cell delivery. In addition, pitfalls related to immune...

  18. RobiNA: a user-friendly, integrated software solution for RNA-Seq-based transcriptomics.

    Science.gov (United States)

    Lohse, Marc; Bolger, Anthony M; Nagel, Axel; Fernie, Alisdair R; Lunn, John E; Stitt, Mark; Usadel, Björn

    2012-07-01

    Recent rapid advances in next generation RNA sequencing (RNA-Seq)-based provide researchers with unprecedentedly large data sets and open new perspectives in transcriptomics. Furthermore, RNA-Seq-based transcript profiling can be applied to non-model and newly discovered organisms because it does not require a predefined measuring platform (like e.g. microarrays). However, these novel technologies pose new challenges: the raw data need to be rigorously quality checked and filtered prior to analysis, and proper statistical methods have to be applied to extract biologically relevant information. Given the sheer volume of data, this is no trivial task and requires a combination of considerable technical resources along with bioinformatics expertise. To aid the individual researcher, we have developed RobiNA as an integrated solution that consolidates all steps of RNA-Seq-based differential gene-expression analysis in one user-friendly cross-platform application featuring a rich graphical user interface. RobiNA accepts raw FastQ files, SAM/BAM alignment files and counts tables as input. It supports quality checking, flexible filtering and statistical analysis of differential gene expression based on state-of-the art biostatistical methods developed in the R/Bioconductor projects. In-line help and a step-by-step manual guide users through the analysis. Installer packages for Mac OS X, Windows and Linux are available under the LGPL licence from http://mapman.gabipd.org/web/guest/robin.

  19. Understanding the kinetic mechanism of RNA single base pair formation.

    Science.gov (United States)

    Xu, Xiaojun; Yu, Tao; Chen, Shi-Jie

    2016-01-05

    RNA functions are intrinsically tied to folding kinetics. The most elementary step in RNA folding is the closing and opening of a base pair. Understanding this elementary rate process is the basis for RNA folding kinetics studies. Previous studies mostly focused on the unfolding of base pairs. Here, based on a hybrid approach, we investigate the folding process at level of single base pairing/stacking. The study, which integrates molecular dynamics simulation, kinetic Monte Carlo simulation, and master equation methods, uncovers two alternative dominant pathways: Starting from the unfolded state, the nucleotide backbone first folds to the native conformation, followed by subsequent adjustment of the base conformation. During the base conformational rearrangement, the backbone either retains the native conformation or switches to nonnative conformations in order to lower the kinetic barrier for base rearrangement. The method enables quantification of kinetic partitioning among the different pathways. Moreover, the simulation reveals several intriguing ion binding/dissociation signatures for the conformational changes. Our approach may be useful for developing a base pair opening/closing rate model.

  20. Refining Automatically Extracted Knowledge Bases Using Crowdsourcing.

    Science.gov (United States)

    Li, Chunhua; Zhao, Pengpeng; Sheng, Victor S; Xian, Xuefeng; Wu, Jian; Cui, Zhiming

    2017-01-01

    Machine-constructed knowledge bases often contain noisy and inaccurate facts. There exists significant work in developing automated algorithms for knowledge base refinement. Automated approaches improve the quality of knowledge bases but are far from perfect. In this paper, we leverage crowdsourcing to improve the quality of automatically extracted knowledge bases. As human labelling is costly, an important research challenge is how we can use limited human resources to maximize the quality improvement for a knowledge base. To address this problem, we first introduce a concept of semantic constraints that can be used to detect potential errors and do inference among candidate facts. Then, based on semantic constraints, we propose rank-based and graph-based algorithms for crowdsourced knowledge refining, which judiciously select the most beneficial candidate facts to conduct crowdsourcing and prune unnecessary questions. Our experiments show that our method improves the quality of knowledge bases significantly and outperforms state-of-the-art automatic methods under a reasonable crowdsourcing cost.

  1. Comparison of approaches for efficient gene silencing induced by microRNA-based short hairpin RNA and indicator gene expression.

    Science.gov (United States)

    Shan, Z X; Lin, Q X; Deng, C Y; Zhou, Z L; Tan, H H; Fu, Y H; Li, X H; Zhu, J N; Mai, L P; Kuang, S J; Lin, S G; Yu, X Y

    2010-04-01

    MicroRNA-based short hairpin RNAs (shRNAs) are natural inducers of RNA interference and have been increasingly used in shRNA expression strategies. In the present study, we compared the efficiencies of exogenous green fluorescence protein (GFP) and endogenous glyceraldehyde-3-phosphate dehydrogenase (GAPDH) knockdown and red fluorescent protein (RFP) indicator expression mediated by three differently designed plasmids. RFP was introduced either at the 5' end, at the 3' end of the human mir155-based target gene (TG) (e.g., GFP or GAPDH) shRNA expression cassette (EC), or at the 3' end of the chimeric intron-containing TG shRNA EC. Comparisons with the control vector showed an obvious reduction of GFP or GAPDH expression with the various shRNA expression plasmids (P < 0.05). When RFP was located at the 5' end or at the 3' end of the TG shRNA EC, RFP expression was low; whereas when RFP was connected with the chimeric intron-containing TG shRNA EC, RFP expression was high. Taken together, this study demonstrated an efficient plasmid design for both TG silencing induced by microRNA-based shRNA and indicator gene expression in vitro.

  2. EFFECTS OF STORAGE, RNA EXTRACTION, GENECHIP TYPE, AND DONOR SEX ON GENE EXPRESSION PROFILING OF HUMAN WHOLE BLOOD

    Science.gov (United States)

    Background: Gene expression profiling of whole blood may be useful for monitoring toxicological exposure and for diagnosis and monitoring of various diseases. Several methods are available that can be used to transport, store, and extract RNA from whole blood, but it is not clear...

  3. Evaluation of four different systems for extraction of RNA from stool suspensions using MS-2 coliphage as an exogenous control for RT-PCR inhibition.

    Directory of Open Access Journals (Sweden)

    Lester M Shulman

    Full Text Available Knowing when, and to what extent co-extracted inhibitors interfere with molecular RNA diagnostic assays is of utmost importance. The QIAamp Viral RNA Mini Kit (A; MagNA Pure LC2.0 Automatic extractor (B; KingFisher (C; and NucliSENS EasyMag (D RNA extraction systems were evaluated for extraction efficiency and co-purification of inhibitors from stool suspensions. Real-Time Reverse Transcriptase Polymerase Chain Reaction (rRT-PCR of MS-2 coliphage spiked into each system's lysis buffer served as an external control for both. Cycle thresholds (Cts of the MS2 were determined for RNA extracted from stool suspensions containing unknown (n = 93 or varying amounts of inhibitors (n = 92. Stool suspensions from the latter group were also used to determine whether MS-2 and enterovirus rRT-PCR inhibitions were correlated. Specifically 23 RNA extracts from stool suspensions were spiked with enterovirus RNA after extraction and 13 of these stool suspension were spiked with intact enterovirus before extraction. MS2 rRT-PCR inhibition varied for RNAs extracted by the different systems. Inhibition was noted in 12 (13.0%, 26 (28.3%, 7 (7.6%, and 7 (7.6% of the first 93 RNA extracts, and 58 (63.0%, 55 (59.8%, 37 (40.2% and 30 (32.6% of the second 92 extracts for A, B, C, and D, respectively. Furthermore, enterovirus rRT-PCR inhibition correlated with MS2 rRT-PCR inhibition for added enterovirus RNA or virus particles. In conclusion, rRT-PCR for MS-2 RNA is a good predictor of inhibition of enterovirus RNA extracted from stool suspensions. EasyMag performed the best, however all four extraction methods were suitable provided that external controls identified problematic samples.

  4. 21 CFR 172.585 - Sugar beet extract flavor base.

    Science.gov (United States)

    2010-04-01

    ... 21 Food and Drugs 3 2010-04-01 2009-04-01 true Sugar beet extract flavor base. 172.585 Section 172... CONSUMPTION Flavoring Agents and Related Substances § 172.585 Sugar beet extract flavor base. Sugar beet extract flavor base may be safely used in food in accordance with the provisions of this section. (a...

  5. RNA

    African Journals Online (AJOL)

    SARAH

    30 nov. 2013 ... RÉSUMÉ. Objectif : La présente étude est conduite dans les régions de Maradi et Zinder situées dans le Centre-Sud du. Niger où la pratique de la régénération naturelle assistée des ligneux dans les champs (RNA) a permis de reverdir plus de 5 millions d'hectares. Le but de ce travail est d'évaluer ...

  6. Comparison of RNA extraction kits and histological stains for laser capture microdissected prostate tissue

    NARCIS (Netherlands)

    K. Kolijn (Kimberley); G.J.H.L. Leenders (Geert)

    2016-01-01

    markdownabstractBackground: Laser capture microdissection offers unique possibilities for the isolation of specific cell populations or histological structures. However, isolation of RNA from microdissected tissue is challenging due to degradation and minimal yield of RNA during laser capture

  7. Electrochemical detection of miRNA-222 by use of a magnetic bead-based bioassay.

    Science.gov (United States)

    Bettazzi, Francesca; Hamid-Asl, Ezat; Esposito, Carla Lucia; Quintavalle, Cristina; Formisano, Nello; Laschi, Serena; Catuogno, Silvia; Iaboni, Margherita; Marrazza, Giovanna; Mascini, Marco; Cerchia, Laura; De Franciscis, Vittorio; Condorelli, Gerolama; Palchetti, Ilaria

    2013-01-01

    MicroRNAs (miRNAs, miRs) are naturally occurring small RNAs (approximately 22 nucleotides in length) that have critical functions in a variety of biological processes, including tumorigenesis. They are an important target for detection technology for future medical diagnostics. In this paper we report an electrochemical method for miRNA detection based on paramagnetic beads and enzyme amplification. In particular, miR 222 was chosen as model sequence, because of its involvement in brain, lung, and liver cancers. The proposed bioassay is based on biotinylated DNA capture probes immobilized on streptavidin-coated paramagnetic beads. Total RNA was extracted from the cell sample, enriched for small RNA, biotinylated, and then hybridized with the capture probe on the beads. The beads were then incubated with streptavidin-alkaline phosphatase and exposed to the appropriate enzymatic substrate. The product of the enzymatic reaction was electrochemically monitored. The assay was finally tested with a compact microfluidic device which enables multiplexed analysis of eight different samples with a detection limit of 7 pmol L(-1) and RSD = 15 %. RNA samples from non-small-cell lung cancer and glioblastoma cell lines were also analyzed.

  8. Mass Spectrometry-Based Quantification of Pseudouridine in RNA

    Science.gov (United States)

    Addepalli, Balasubrahmanyam; Limbach, Patrick A.

    2011-08-01

    Direct detection of pseudouridine (ψ), an isomer of uridine, in RNA is challenging. The most popular method requires chemical derivatization using N-cyclohexyl-N'-β-(4-methylmorpholinum ethyl) carbodiimide p-tosylate (CMCT) followed by radiolabeled primer extension mediated by reverse transcriptase. More recently, mass spectrometry (MS)-based approaches for sequence placement of pseudouridine in RNA have been developed. Nearly all of these approaches, however, only yield qualitative information regarding the presence or absence of pseudouridine in a given RNA population. Here, we have extended a previously developed liquid chromatography tandem mass spectrometry (LC-MS/MS) method to enable both the qualitative and quantitative analysis of pseudouridine. Quantitative selected reaction monitoring (SRM) assays were developed using synthetic oligonucleotides, with or without pseudouridine, and the results yielded a linear relationship between the ion abundance of the pseudouridine-specific fragment ion and the amount of pseudouridine-containing oligonucleotide present in the original sample. Using this quantitative SRM assay, the extent of pseudouridine hypomodification in the conserved T-loop of tRNA isolated from two different Escherichia coli strains was established.

  9. FEATURE EXTRACTION FOR EMG BASED PROSTHESES CONTROL

    Directory of Open Access Journals (Sweden)

    R. Aishwarya

    2013-01-01

    Full Text Available The control of prosthetic limb would be more effective if it is based on Surface Electromyogram (SEMG signals from remnant muscles. The analysis of SEMG signals depend on a number of factors, such as amplitude as well as time- and frequency-domain properties. Time series analysis using Auto Regressive (AR model and Mean frequency which is tolerant to white Gaussian noise are used as feature extraction techniques. EMG Histogram is used as another feature vector that was seen to give more distinct classification. The work was done with SEMG dataset obtained from the NINAPRO DATABASE, a resource for bio robotics community. Eight classes of hand movements hand open, hand close, Wrist extension, Wrist flexion, Pointing index, Ulnar deviation, Thumbs up, Thumb opposite to little finger are taken into consideration and feature vectors are extracted. The feature vectors can be given to an artificial neural network for further classification in controlling the prosthetic arm which is not dealt in this paper.

  10. Co-LncRNA: investigating the lncRNA combinatorial effects in GO annotations and KEGG pathways based on human RNA-Seq data.

    Science.gov (United States)

    Zhao, Zheng; Bai, Jing; Wu, Aiwei; Wang, Yuan; Zhang, Jinwen; Wang, Zishan; Li, Yongsheng; Xu, Juan; Li, Xia

    2015-01-01

    Long non-coding RNAs (lncRNAs) are emerging as key regulators of diverse biological processes and diseases. However, the combinatorial effects of these molecules in a specific biological function are poorly understood. Identifying co-expressed protein-coding genes of lncRNAs would provide ample insight into lncRNA functions. To facilitate such an effort, we have developed Co-LncRNA, which is a web-based computational tool that allows users to identify GO annotations and KEGG pathways that may be affected by co-expressed protein-coding genes of a single or multiple lncRNAs. LncRNA co-expressed protein-coding genes were first identified in publicly available human RNA-Seq datasets, including 241 datasets across 6560 total individuals representing 28 tissue types/cell lines. Then, the lncRNA combinatorial effects in a given GO annotations or KEGG pathways are taken into account by the simultaneous analysis of multiple lncRNAs in user-selected individual or multiple datasets, which is realized by enrichment analysis. In addition, this software provides a graphical overview of pathways that are modulated by lncRNAs, as well as a specific tool to display the relevant networks between lncRNAs and their co-expressed protein-coding genes. Co-LncRNA also supports users in uploading their own lncRNA and protein-coding gene expression profiles to investigate the lncRNA combinatorial effects. It will be continuously updated with more human RNA-Seq datasets on an annual basis. Taken together, Co-LncRNA provides a web-based application for investigating lncRNA combinatorial effects, which could shed light on their biological roles and could be a valuable resource for this community. Database URL: http://www.bio-bigdata.com/Co-LncRNA/. © The Author(s) 2015. Published by Oxford University Press.

  11. Brain extraction based on locally linear representation-based classification.

    Science.gov (United States)

    Huang, Meiyan; Yang, Wei; Jiang, Jun; Wu, Yao; Zhang, Yu; Chen, Wufan; Feng, Qianjin

    2014-05-15

    Brain extraction is an important procedure in brain image analysis. Although numerous brain extraction methods have been presented, enhancing brain extraction methods remains challenging because brain MRI images exhibit complex characteristics, such as anatomical variability and intensity differences across different sequences and scanners. To address this problem, we present a Locally Linear Representation-based Classification (LLRC) method for brain extraction. A novel classification framework is derived by introducing the locally linear representation to the classical classification model. Under this classification framework, a common label fusion approach can be considered as a special case and thoroughly interpreted. Locality is important to calculate fusion weights for LLRC; this factor is also considered to determine that Local Anchor Embedding is more applicable in solving locally linear coefficients compared with other linear representation approaches. Moreover, LLRC supplies a way to learn the optimal classification scores of the training samples in the dictionary to obtain accurate classification. The International Consortium for Brain Mapping and the Alzheimer's Disease Neuroimaging Initiative databases were used to build a training dataset containing 70 scans. To evaluate the proposed method, we used four publicly available datasets (IBSR1, IBSR2, LPBA40, and ADNI3T, with a total of 241 scans). Experimental results demonstrate that the proposed method outperforms the four common brain extraction methods (BET, BSE, GCUT, and ROBEX), and is comparable to the performance of BEaST, while being more accurate on some datasets compared with BEaST. Copyright © 2014 Elsevier Inc. All rights reserved.

  12. Extractions of High Quality RNA from the Seeds of Jerusalem Artichoke and Other Plant Species with High Levels of Starch and Lipid

    Directory of Open Access Journals (Sweden)

    Tanupat Mornkham

    2013-04-01

    Full Text Available Jerusalem artichoke (Helianthus tuberosus L. is an important tuber crop. However, Jerusalem artichoke seeds contain high levels of starch and lipid, making the extraction of high-quality RNA extremely difficult and the gene expression analysis challenging. This study was aimed to improve existing methods for extracting total RNA from Jerusalem artichoke dry seeds and to assess the applicability of the improved method in other plant species. Five RNA extraction methods were evaluated on Jerusalem artichoke seeds and two were modified. One modified method with the significant improvement was applied to assay seeds of diverse Jerusalem artichoke accessions, sunflower, rice, maize, peanut and marigold. The effectiveness of the improved method to extract total RNA from seeds was assessed using qPCR analysis of four selected genes. The improved method of Ma and Yang (2011 yielded a maximum RNA solubility and removed most interfering substances. The improved protocol generated 29 to 41 µg RNA/30 mg fresh weight. An A260/A280 ratio of 1.79 to 2.22 showed their RNA purity. Extracted RNA was effective for downstream applications such as first-stranded cDNA synthesis, cDNA cloning and qPCR. The improved method was also effective to extract total RNA from seeds of sunflower, rice, maize and peanut that are rich in polyphenols, lipids and polysaccharides.

  13. An optmized protocol for simultaneous extraction of DNA and RNA from soils Protocolo otimizado para extração simultanea de DNA e RNA de solo

    Directory of Open Access Journals (Sweden)

    Rodrigo Costa

    2004-09-01

    Full Text Available In this work we report an optimized protocol for simultaneous extraction of DNA and RNA from soil matrices. Treatment of soil matrices with ethanol followed by bead-beating worked as a successful strategy to lyse the cells without considerable degradation of nucleic acids, resulting in DNA and RNA of good yield and integrity. The reverse transcribed RNA could be amplified with primers targeting a glutamine synthetase (glnA gene fragment. From both DNA and cDNA, 16S rDNA fragments were amplified and analyzed by Denaturing Gradient Gel Electrophoresis (DGGE. The method was applied to soil and rhizosphere (strawberry and oilseed rape samples. Two other protocols for the extraction of nucleic acids from soil were applied to the same set of samples in order to compare the methods in terms of efficiency and reproducibility. The DGGE profiles indicated no relevant differences between the patterns obtained. The method described here is suitable for rapid processing of many samples and therefore appropriate for ecological studies.Nesse trabalho descrevemos um protocolo otimizado para extração simultânea de DNA e RNA de solo. O tratamento das amostras de solo com etanol e posterior agitação com partículas foi uma estratégia bem sucedida para lise das células sem degradação significativa dos ácidos nucléicos, resultando em bom rendimento de DNA e RNA íntegros. O RNA transcrito pode ser amplificado com iniciadores com alvo no fragmento do gene da glutamina sintetase (glnA. Os fragmentos 16S rDNA, tanto do DNA como do cDNA, foram amplificados e analisados por DGGE. O método foi aplicado para amostras de solo e rizosfera (morango e canola. Dois outros protocolos para extração de ácidos nucléicos de solo foram aplicados para o mesmo lote de amostras, de forma a comparar os métodos quanto à eficiência e reprodutibilidade. Os perfis de DGGE mostraram não haver diferença relevante nos padrões obtidos. O método descrito é apropriado para

  14. A combined sequence and structure based method for discovering enriched motifs in RNA from in vivo binding data.

    Science.gov (United States)

    Polishchuk, Maya; Paz, Inbal; Kohen, Refael; Mesika, Rona; Yakhini, Zohar; Mandel-Gutfreund, Yael

    2017-04-15

    RNA binding proteins (RBPs) play an important role in regulating many processes in the cell. RBPs often recognize their RNA targets in a specific manner. In addition to the RNA primary sequence, the structure of the RNA has been shown to play a central role in RNA recognition by RBPs. In recent years, many experimental approaches, both in vitro and in vivo, were developed and employed to identify and characterize RBP targets and extract their binding specificities. In vivo binding techniques, such as CrossLinking and ImmunoPrecipitation (CLIP)-based methods, enable the characterization of protein binding sites on RNA targets. However, these methods do not provide information regarding the structural preferences of the protein. While methods to obtain the structure of RNA are available, inferring both the sequence and the structure preferences of RBPs remains a challenge. Here we present SMARTIV, a novel computational tool for discovering combined sequence and structure binding motifs from in vivo RNA binding data relying on the sequences of the target sites, the ranking of their binding scores and their predicted secondary structure. The combined motifs are provided in a unified representation that is informative and easy for visual perception. We tested the method on CLIP-seq data from different platforms for a variety of RBPs. Overall, we show that our results are highly consistent with known binding motifs of RBPs, offering additional information on their structural preferences. Copyright © 2017 Elsevier Inc. All rights reserved.

  15. Targeting miRNA-based medicines to cystic fibrosis airway epithelial cells using nanotechnology

    Directory of Open Access Journals (Sweden)

    McKiernan PJ

    2013-10-01

    Full Text Available Paul J McKiernan,2 Orla Cunninghamm,1,2 Catherine M Greenem,2 Sally-Ann Cryan1,31School of Pharmacy, Royal College of Surgeons in Ireland, 2Respiratory Research Division, Department of Medicine, Royal College of Surgeons in Ireland Education and Research Centre, Beaumont Hospital, 3Trinity Centre for Bioengineering, Trinity College Dublin, Dublin, IrelandAbstract: Cystic fibrosis (CF is an inherited disorder characterized by chronic airway inflammation. microRNAs (miRNAs are endogenous small RNAs which act on messenger (mRNA at a post transcriptional level, and there is a growing understanding that altered expression of miRNA is involved in the CF phenotype. Modulation of miRNA by replacement using miRNA mimics (premiRs presents a new therapeutic paradigm for CF, but effective and safe methods of delivery to the CF epithelium are limiting clinical translation. Herein, polymeric nanoparticles are investigated for delivery of miRNA mimics into CF airway epithelial cells, using miR-126 as a proof-of-concept premiR cargo to determine efficiency. Two polymers, polyethyleneimine (PEI and chitosan, were used to prepare miRNA nanomedicines, characterized for their size, surface (zeta potential, and RNA complexation efficiency, and screened for delivery and cytotoxicity in CFBE41o- (human F508del cystic fibrosis transmembrane conductance regulator bronchial epithelial cells using a novel high content analysis method. RNA extraction was carried out 24 hours post transfection, and miR-126 and TOM1 (target of Myb1 expression (a validated miR-126 target was assessed. Manufacture was optimized to produce small nanoparticles that effectively complexed miRNA. Using high content analysis, PEI-based nanoparticles were more effective than chitosan-based nanoparticles in facilitating uptake of miRNA into CFBE41o- cells and this was confirmed in miR-126 assays. PEI-premiR-126 nanoparticles at low nitrogen/phosphate (N/P ratios resulted in significant knockdown of

  16. A stable RNA virus-based vector for citrus trees

    International Nuclear Information System (INIS)

    Folimonov, Alexey S.; Folimonova, Svetlana Y.; Bar-Joseph, Moshe; Dawson, William O.

    2007-01-01

    Virus-based vectors are important tools in plant molecular biology and plant genomics. A number of vectors based on viruses that infect herbaceous plants are in use for expression or silencing of genes in plants as well as screening unknown sequences for function. Yet there is a need for useful virus-based vectors for woody plants, which demand much greater stability because of the longer time required for systemic infection and analysis. We examined several strategies to develop a Citrus tristeza virus (CTV)-based vector for transient expression of foreign genes in citrus trees using a green fluorescent protein (GFP) as a reporter. These strategies included substitution of the p13 open reading frame (ORF) by the ORF of GFP, construction of a self-processing fusion of GFP in-frame with the major coat protein (CP), or expression of the GFP ORF as an extra gene from a subgenomic (sg) mRNA controlled either by a duplicated CTV CP sgRNA controller element (CE) or an introduced heterologous CE of Beet yellows virus. Engineered vector constructs were examined for replication, encapsidation, GFP expression during multiple passages in protoplasts, and for their ability to infect, move, express GFP, and be maintained in citrus plants. The most successful vectors based on the 'add-a-gene' strategy have been unusually stable, continuing to produce GFP fluorescence after more than 4 years in citrus trees

  17. MicroRNA-based biotechnology for plant improvement.

    Science.gov (United States)

    Zhang, Baohong; Wang, Qinglian

    2015-01-01

    MicroRNAs (miRNAs) are an extensive class of newly discovered endogenous small RNAs, which negatively regulate gene expression at the post-transcription levels. As the application of next-generation deep sequencing and advanced bioinformatics, the miRNA-related study has been expended to non-model plant species and the number of identified miRNAs has dramatically increased in the past years. miRNAs play a critical role in almost all biological and metabolic processes, and provide a unique strategy for plant improvement. Here, we first briefly review the discovery, history, and biogenesis of miRNAs, then focus more on the application of miRNAs on plant breeding and the future directions. Increased plant biomass through controlling plant development and phase change has been one achievement for miRNA-based biotechnology; plant tolerance to abiotic and biotic stress was also significantly enhanced by regulating the expression of an individual miRNA. Both endogenous and artificial miRNAs may serve as important tools for plant improvement. © 2014 Wiley Periodicals, Inc.

  18. RED WINE EXTRACT OBTAINED BY MEMBRANE-BASED SUPERCRITICAL FLUID EXTRACTION: PRELIMINARY CHARACTERIZATION OF CHEMICAL PROPERTIES.

    Directory of Open Access Journals (Sweden)

    W. Silva

    Full Text Available ABSTRACT This study aims to obtain an extract from red wine by using membrane-based supercritical fluid extraction. This technique involves the use of porous membranes as contactors during the dense gas extraction process from liquid matrices. In this work, a Cabernet Sauvignon wine extract was obtained from supercritical fluid extraction using pressurized carbon dioxide as solvent and a hollow fiber contactor as extraction setup. The process was continuously conducted at pressures between 12 and 18 MPa and temperatures ranged from 30 to 50ºC. Meanwhile, flow rates of feed wine and supercritical CO2 varied from 0.1 to 0.5 mL min-1 and from 60 to 80 mL min-1 (NCPT, respectively. From extraction assays, the highest extraction percentage value obtained from the total amount of phenolic compounds was 14% in only one extraction step at 18MPa and 35ºC. A summarized chemical characterization of the obtained extract is reported in this work; one of the main compounds in this extract could be a low molecular weight organic acid with aromatic structure and methyl and carboxyl groups. Finally, this preliminary characterization of this extract shows a remarkable ORAC value equal to 101737 ± 5324 µmol Trolox equivalents (TE per 100 g of extract.

  19. RNA 3D Structure Modeling by Combination of Template-Based Method ModeRNA, Template-Free Folding with SimRNA, and Refinement with QRNAS.

    Science.gov (United States)

    Piatkowski, Pawel; Kasprzak, Joanna M; Kumar, Deepak; Magnus, Marcin; Chojnowski, Grzegorz; Bujnicki, Janusz M

    2016-01-01

    RNA encompasses an essential part of all known forms of life. The functions of many RNA molecules are dependent on their ability to form complex three-dimensional (3D) structures. However, experimental determination of RNA 3D structures is laborious and challenging, and therefore, the majority of known RNAs remain structurally uncharacterized. To address this problem, computational structure prediction methods were developed that either utilize information derived from known structures of other RNA molecules (by way of template-based modeling) or attempt to simulate the physical process of RNA structure formation (by way of template-free modeling). All computational methods suffer from various limitations that make theoretical models less reliable than high-resolution experimentally determined structures. This chapter provides a protocol for computational modeling of RNA 3D structure that overcomes major limitations by combining two complementary approaches: template-based modeling that is capable of predicting global architectures based on similarity to other molecules but often fails to predict local unique features, and template-free modeling that can predict the local folding, but is limited to modeling the structure of relatively small molecules. Here, we combine the use of a template-based method ModeRNA with a template-free method SimRNA. ModeRNA requires a sequence alignment of the target RNA sequence to be modeled with a template of the known structure; it generates a model that predicts the structure of a conserved core and provides a starting point for modeling of variable regions. SimRNA can be used to fold small RNAs (models for larger RNAs that have a correctly modeled core. ModeRNA can be either downloaded, compiled and run locally or run through a web interface at http://genesilico.pl/modernaserver/ . SimRNA is currently available to download for local use as a precompiled software package at http://genesilico.pl/software/stand-alone/simrna and as a

  20. [Characterization of Black and Dichothrix Cyanobacteria Based on the 16S Ribosomal RNA Gene Sequence

    Science.gov (United States)

    Ortega, Maya

    2010-01-01

    My project focuses on characterizing different cyanobacteria in thrombolitic mats found on the island of Highborn Cay, Bahamas. Thrombolites are interesting ecosystems because of the ability of bacteria in these mats to remove carbon dioxide from the atmosphere and mineralize it as calcium carbonate. In the future they may be used as models to develop carbon sequestration technologies, which could be used as part of regenerative life systems in space. These thrombolitic communities are also significant because of their similarities to early communities of life on Earth. I targeted two cyanobacteria in my research, Dichothrix spp. and whatever black is, since they are believed to be important to carbon sequestration in these thrombolitic mats. The goal of my summer research project was to molecularly identify these two cyanobacteria. DNA was isolated from each organism through mat dissections and DNA extractions. I ran Polymerase Chain Reactions (PCR) to amplify the 16S ribosomal RNA (rRNA) gene in each cyanobacteria. This specific gene is found in almost all bacteria and is highly conserved, meaning any changes in the sequence are most likely due to evolution. As a result, the 16S rRNA gene can be used for bacterial identification of different species based on the sequence of their 16S rRNA gene. Since the exact sequence of the Dichothrix gene was unknown, I designed different primers that flanked the gene based on the known sequences from other taxonomically similar cyanobacteria. Once the 16S rRNA gene was amplified, I cloned the gene into specialized Escherichia coli cells and sent the gene products for sequencing. Once the sequence is obtained, it will be added to a genetic database for future reference to and classification of other Dichothrix sp.

  1. Idioms-based Business Rule Extraction

    NARCIS (Netherlands)

    R Smit (Rob)

    2011-01-01

    htmlabstractThis thesis studies the extraction of embedded business rules, using the idioms of the used framework to identify them. Embedded business rules exist as source code in the software system and knowledge about them may get lost. Extraction of those business rules could make them accessible

  2. Morpholino spin-labeling for base-pair sequencing of a 3'-terminal RNA stem by proton homonuclear Overhauser enhancements: yeast ribosomal 5S RNA

    International Nuclear Information System (INIS)

    Lee, K.M.; Marshall, A.G.

    1987-01-01

    Base-pair sequences for 5S and 5.8S RNAs are not readily extracted from proton homonuclear nuclear Overhauser enhancement (NOE) connectivity experiments alone, due to extensive peak overlap in the downfield (11-15 ppm) proton NMR spectrum. In this paper, we introduce a new method for base-pair proton peak assignment for ribosomal RNAs, based upon the distance-dependent broadening of the resonances of base-pair protons spatially proximal to a paramagnetic group. Introduction of a nitroxide spin-label covalently attached to the 3'-terminal ribose provides an unequivocal starting point for base-pair hydrogen-bond proton NMR assignment. Subsequent NOE connectivities then establish the base-pair sequence for the terminal stem of a 5S RNA. Periodate oxidation of yeast 5S RNA, followed by reaction with 4-amino-2,2,6,6-tetramethylpiperidinyl-1-oxy (TEMPO-NH2) and sodium borohydride reduction, produces yeast 5S RNA specifically labeled with a paramagnetic nitroxide group at the 3'-terminal ribose. Comparison of the 500-MHz 1H NMR spectra of native and 3'-terminal spin-labeled yeast 5S RNA serves to identify the terminal base pair (G1 . C120) and its adjacent base pair (G2 . U119) on the basis of their proximity to the 3'-terminal spin-label. From that starting point, we have then identified (G . C, A . U, or G . U) and sequenced eight of the nine base pairs in the terminal helix via primary and secondary NOE's

  3. Transparent DNA/RNA Co-extraction Workflow Protocol Suitable for Inhibitor-Rich Environmental Samples That Focuses on Complete DNA Removal for Transcriptomic Analyses.

    Science.gov (United States)

    Lim, Natalie Y N; Roco, Constance A; Frostegård, Åsa

    2016-01-01

    Adequate comparisons of DNA and cDNA libraries from complex environments require methods for co-extraction of DNA and RNA due to the inherent heterogeneity of such samples, or risk bias caused by variations in lysis and extraction efficiencies. Still, there are few methods and kits allowing simultaneous extraction of DNA and RNA from the same sample, and the existing ones generally require optimization. The proprietary nature of kit components, however, makes modifications of individual steps in the manufacturer's recommended procedure difficult. Surprisingly, enzymatic treatments are often performed before purification procedures are complete, which we have identified here as a major problem when seeking efficient genomic DNA removal from RNA extracts. Here, we tested several DNA/RNA co-extraction commercial kits on inhibitor-rich soils, and compared them to a commonly used phenol-chloroform co-extraction method. Since none of the kits/methods co-extracted high-quality nucleic acid material, we optimized the extraction workflow by introducing small but important improvements. In particular, we illustrate the need for extensive purification prior to all enzymatic procedures, with special focus on the DNase digestion step in RNA extraction. These adjustments led to the removal of enzymatic inhibition in RNA extracts and made it possible to reduce genomic DNA to below detectable levels as determined by quantitative PCR. Notably, we confirmed that DNase digestion may not be uniform in replicate extraction reactions, thus the analysis of "representative samples" is insufficient. The modular nature of our workflow protocol allows optimization of individual steps. It also increases focus on additional purification procedures prior to enzymatic processes, in particular DNases, yielding genomic DNA-free RNA extracts suitable for metatranscriptomic analysis.

  4. Establishment of the total RNA extraction system for lily bulbs with ...

    African Journals Online (AJOL)

    NaCl concentration of both CTAB and SDS protocols was increased in order to get rid of the polysaccharides in scales. The resulting RNA is of high-quality, as judged by agarose gel electrophoresis and UV-spectroscopic analysis. Furthermore, the middle scales obtain the highest RNA yield followed by the exterior and the ...

  5. A review on solid phase extraction of actinides and lanthanides with amide based extractants.

    Science.gov (United States)

    Ansari, Seraj A; Mohapatra, Prasanta K

    2017-05-26

    Solid phase extraction is gaining attention from separation scientists due to its high chromatographic utility. Though both grafted and impregnated forms of solid phase extraction resins are popular, the later is easy to make by impregnating a given organic extractant on to an inert solid support. Solid phase extraction on an impregnated support, also known as extraction chromatography, combines the advantages of liquid-liquid extraction and the ion exchange chromatography methods. On the flip side, the impregnated extraction chromatographic resins are less stable against leaching out of the organic extractant from the pores of the support material. Grafted resins, on the other hand, have a higher stability, which allows their prolong use. The goal of this article is a brief literature review on reported actinide and lanthanide separation methods based on solid phase extractants of both the types, i.e., (i) ligand impregnation on the solid support or (ii) ligand functionalized polymers (chemically bonded resins). Though the literature survey reveals an enormous volume of studies on the extraction chromatographic separation of actinides and lanthanides using several extractants, the focus of the present article is limited to the work carried out with amide based ligands, viz. monoamides, diamides and diglycolamides. The emphasis will be on reported applied experimental results rather than on data pertaining fundamental metal complexation. Copyright © 2017 Elsevier B.V. All rights reserved.

  6. ssHMM: extracting intuitive sequence-structure motifs from high-throughput RNA-binding protein data.

    Science.gov (United States)

    Heller, David; Krestel, Ralf; Ohler, Uwe; Vingron, Martin; Marsico, Annalisa

    2017-11-02

    RNA-binding proteins (RBPs) play an important role in RNA post-transcriptional regulation and recognize target RNAs via sequence-structure motifs. The extent to which RNA structure influences protein binding in the presence or absence of a sequence motif is still poorly understood. Existing RNA motif finders either take the structure of the RNA only partially into account, or employ models which are not directly interpretable as sequence-structure motifs. We developed ssHMM, an RNA motif finder based on a hidden Markov model (HMM) and Gibbs sampling which fully captures the relationship between RNA sequence and secondary structure preference of a given RBP. Compared to previous methods which output separate logos for sequence and structure, it directly produces a combined sequence-structure motif when trained on a large set of sequences. ssHMM's model is visualized intuitively as a graph and facilitates biological interpretation. ssHMM can be used to find novel bona fide sequence-structure motifs of uncharacterized RBPs, such as the one presented here for the YY1 protein. ssHMM reaches a high motif recovery rate on synthetic data, it recovers known RBP motifs from CLIP-Seq data, and scales linearly on the input size, being considerably faster than MEMERIS and RNAcontext on large datasets while being on par with GraphProt. It is freely available on Github and as a Docker image. © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research.

  7. RNA-binding protein conserved in both microtubule- and microfilament-based RNA localization.

    Science.gov (United States)

    Havin, L; Git, A; Elisha, Z; Oberman, F; Yaniv, K; Schwartz, S P; Standart, N; Yisraeli, J K

    1998-06-01

    Vg1 mRNA translocation to the vegetal cortex of Xenopus oocytes requires intact microtubules, and a 3' UTR cis-acting element (termed VLE), which also mediates sequence-specific binding of several proteins. One protein, the 69-kD Vg1 RBP, associates Vg1 RNA to microtubules in vitro. Here we show that Vg1 RBP-binding sites correlate with vegetal localization. Purification and cloning of Vg1 RBP revealed five RNA-binding motifs: four KH and one RRM domains. Surprisingly, Vg1 RBP is highly homologous to the zipcode binding protein implicated in the microfilament-mediated localization of beta actin mRNA in fibroblasts. These data support Vg1 RBP's direct role in vegetal localization and suggest the existence of a general, evolutionarily conserved mechanism for mRNA targeting.

  8. Enhancement of single guide RNA transcription for efficient CRISPR/Cas-based genomic engineering.

    Science.gov (United States)

    Ui-Tei, Kumiko; Maruyama, Shohei; Nakano, Yuko

    2017-06-01

    Genomic engineering using clustered regularly interspaced short palindromic repeats (CRISPR) and CRISPR-associated (Cas) protein is a promising approach for targeting the genomic DNA of virtually any organism in a sequence-specific manner. Recent remarkable advances in CRISPR/Cas technology have made it a feasible system for use in therapeutic applications and biotechnology. In the CRISPR/Cas system, a guide RNA (gRNA), interacting with the Cas protein, recognizes a genomic region with sequence complementarity, and the double-stranded DNA at the target site is cleaved by the Cas protein. A widely used gRNA is an RNA polymerase III (pol III)-driven single gRNA (sgRNA), which is produced by artificial fusion of CRISPR RNA (crRNA) and trans-activation crRNA (tracrRNA). However, we identified a TTTT stretch, known as a termination signal of RNA pol III, in the scaffold region of the sgRNA. Here, we revealed that sgRNA carrying a TTTT stretch reduces the efficiency of sgRNA transcription due to premature transcriptional termination, and decreases the efficiency of genome editing. Unexpectedly, it was also shown that the premature terminated sgRNA may have an adverse effect of inducing RNA interference. Such disadvantageous effects were avoided by substituting one base in the TTTT stretch.

  9. RNA interference-based therapeutics for human immunodeficiency virus HIV-1 treatment: synthetic siRNA or vector-based shRNA?

    Science.gov (United States)

    Subramanya, Sandesh; Kim, Sang-Soo; Manjunath, N; Shankar, Premlata

    2010-02-01

    Despite the clinical benefits of highly active antiretroviral therapy (HAART), the prospect of life-long antiretroviral treatment poses significant problems, which has spurred interest in developing new drugs and strategies to treat HIV infection and eliminate persistent viral reservoirs. RNAi has emerged as a therapeutic possibility for HIV. We discuss progress in overcoming hurdles to translating transient and stable RNAi enabling technologies to clinical application for HIV; covering the past 2 - 3 years. HIV inhibition can be achieved by transfection of chemically or enzymatically synthesized siRNAs or by DNA-based vector systems expressing short hairpin RNAs (shRNAs) that are processed intracellularly into siRNA. We compare these approaches, focusing on technical and safety issues that will guide the choice of strategy for clinical use. Introduction of synthetic siRNA into cells or its stable endogenous production using vector-driven shRNA have been shown to suppress HIV replication in vitro and, in some instances, in vivo. Each method has advantages and limitations in terms of ease of delivery, duration of silencing, emergence of escape mutants and potential toxicity. Both appear to have potential as future therapeutics for HIV, once the technical and safety issues of each approach are overcome.

  10. Evaluation of FTA(®) card for the rescue of infectious foot-and-mouth disease virus by chemical transfection of extracted RNA in cultured cells.

    Science.gov (United States)

    Biswal, Jitendra K; Subramaniam, Saravanan; Ranjan, Rajeev; Pattnaik, Bramhadev

    2016-08-01

    Foot-and-mouth disease (FMD) is a highly contagious epidemic disease of transboundary importance. Inadequate storage and shipment of suspected clinical samples can compromise the ability to detect and characterise FMD virus (FMDV) in endemic countries, thereby, leading to the loss of valuable virological and epidemiological data. This study, investigates the potential of using FTA(®) cards for dry transportation of clinical samples and subsequent recovery of infectious FMDV by chemical transfection of FTA(®) card fixed RNA as an alternative to the conventional cell culture based virus isolation method. A higher proportion of infectious FMDV was rescued from clinical samples (cell culture isolates, tongue epithelial suspension and impression smears) by the FTA(®) card fixed RNA transfection method (76%) compared to the conventional cell culture based virus isolation (56%), suggesting a better performance of the current RNA transfection procedure. Furthermore, it was possible to rescue live virus by the transfection of RNA extracted from FTA(®) card impregnated with clinical samples that had been stored at varying temperature (4-37 °C) up to a period of six weeks. The VP1 sequence data and antigenic relationships with the vaccine strains, between viruses rescued by FTA(®) card fixed RNA transfection and conventional cell culture, were comparable. Therefore, these results support the use of the FTA(®) card for the economic, dry, non-hazardous transport of FMD suspected clinical samples from the site of collection to national/international reference laboratories. Copyright © 2016 Elsevier Ltd. All rights reserved.

  11. A Novel Microfluidic Device for Fully Automated Extraction of RNA from Cell Cultures, Phase I

    Data.gov (United States)

    National Aeronautics and Space Administration — Differential gene expression by RNA profiling is a universal and critical step in space biology experiments, which seek to link specific molecular events with...

  12. A Novel Microfluidic Device for Fully Automated Extraction of RNA from Cell Cultures, Phase II

    Data.gov (United States)

    National Aeronautics and Space Administration — Obtaining high quality, intact RNA from cells is an ubiquitous need in the pursuit of space biology. Our overall objective is to develop and commercialize a...

  13. A Novel Microfluidic Device for Fully Automated Extraction of RNA from Cell Cultures Project

    Data.gov (United States)

    National Aeronautics and Space Administration — Differential gene expression by RNA profiling is a universal and critical step in space biology experiments, which seek to link specific molecular events with...

  14. A Novel Microfluidic Device for Fully Automated Extraction of RNA from Cell Cultures Project

    Data.gov (United States)

    National Aeronautics and Space Administration — Obtaining high quality, intact RNA from cells is an ubiquitous need in the pursuit of space biology. Our overall objective is to develop and commercialize a...

  15. Phylogenetic relationships of Salmonella based on rRNA sequences

    DEFF Research Database (Denmark)

    Christensen, H.; Nordentoft, Steen; Olsen, J.E.

    1998-01-01

    separated by 16S rRNA analysis and found to be closely related to the Escherichia coli and Shigella complex by both 16S and 23S rRNA analyses. The diphasic serotypes S. enterica subspp. I and VI were separated from the monophasic serotypes subspp. IIIa and IV, including S. bongori, by 23S rRNA sequence...

  16. siRNA-like double-stranded RNAs are specifically protected against degradation in human cell extract.

    Directory of Open Access Journals (Sweden)

    John A H Hoerter

    Full Text Available RNA interference (RNAi is a set of intracellular pathways in eukaryotes that controls both exogenous and endogenous gene expression. The power of RNAi to knock down (silence any gene of interest by the introduction of synthetic small-interfering (siRNAs has afforded powerful insight into biological function through reverse genetic approaches and has borne a new field of gene therapeutics. A number of questions are outstanding concerning the potency of siRNAs, necessitating an understanding of how short double-stranded RNAs are processed by the cell. Recent work suggests unmodified siRNAs are protected in the intracellular environment, although the mechanism of protection still remains unclear. We have developed a set of doubly-fluorophore labeled RNAs (more precisely, RNA/DNA chimeras to probe in real-time the stability of siRNAs and related molecules by fluorescence resonance energy transfer (FRET. We find that these RNA probes are substrates for relevant cellular degradative processes, including the RNase H1 mediated degradation of an DNA/RNA hybrid and Dicer-mediated cleavage of a 24-nucleotide (per strand double-stranded RNA. In addition, we find that 21- and 24-nucleotide double-stranded RNAs are relatively protected in human cytosolic cell extract, but less so in blood serum, whereas an 18-nucleotide double-stranded RNA is less protected in both fluids. These results suggest that RNAi effector RNAs are specifically protected in the cellular environment and may provide an explanation for recent results showing that unmodified siRNAs in cells persist intact for extended periods of time.

  17. Isolation of Endogenously Assembled RNA-Protein Complexes Using Affinity Purification Based on Streptavidin Aptamer S1

    Directory of Open Access Journals (Sweden)

    Yangchao Dong

    2015-09-01

    Full Text Available Efficient isolation of endogenously assembled viral RNA-protein complexes is essential for understanding virus replication mechanisms. We have developed an affinity purification strategy based on an RNA affinity tag that allows large-scale preparation of native viral RNA-binding proteins (RBPs. The streptavidin-binding aptamer S1 sequence was inserted into the 3′ end of dengue virus (DENV 5′–3′ UTR RNA, and the DENV RNA UTR fused to the S1 RNA aptamer was expressed in living mammalian cells. This allowed endogenous viral ribonucleoprotein (RNP assembly and isolation of RNPs from whole cell extract, through binding the S1 aptamer to streptavidin magnetic beads. Several novel host DENV RBPs were subsequently identified by liquid chromatography with tandem mass spectrometry (LC-MS/MS, including RPS8, which we further implicate in DENV replication. We proposed efficient S1 aptamer-based isolation of viral assembled RNPs from living mammalian cells will be generally applicable to the purification of high- and low-affinity RBPs and RNPs under endogenous conditions.

  18. A thermostable messenger RNA based vaccine against rabies.

    Science.gov (United States)

    Stitz, Lothar; Vogel, Annette; Schnee, Margit; Voss, Daniel; Rauch, Susanne; Mutzke, Thorsten; Ketterer, Thomas; Kramps, Thomas; Petsch, Benjamin

    2017-12-01

    Although effective rabies virus vaccines have been existing for decades, each year, rabies virus infections still cause around 50.000 fatalities worldwide. Most of these cases occur in developing countries, where these vaccines are not available. The reasons for this are the prohibitive high costs of cell culture or egg grown rabies virus vaccines and the lack of a functional cold chain in many regions in which rabies virus is endemic. Here, we describe the excellent temperature resistance of a non-replicating mRNA based rabies virus vaccine encoding the rabies virus glycoprotein (RABV-G). Prolonged storage of the vaccine from -80°C to up to +70°C for several months did not impact the protective capacity of the mRNA vaccine. Efficacy after storage was demonstrated by the induction of rabies specific virus neutralizing antibodies and protection in mice against lethal rabies infection. Moreover, storing the vaccine at oscillating temperatures between +4° and +56°C for 20 cycles in order to simulate interruptions of the cold chain during vaccine transport, did not affect the vaccine's immunogenicity and protective characteristics, indicating that maintenance of a cold chain is not essential for this vaccine.

  19. Analytical Performances of Human Immunodeficiency Virus Type 1 RNA-Based Amplix® Real-Time PCR Platform for HIV-1 RNA Quantification

    Directory of Open Access Journals (Sweden)

    Christian Diamant Mossoro-Kpinde

    2016-01-01

    Full Text Available Objectives. We evaluated the performances of Amplix real-time PCR platform developed by Biosynex (Strasbourg, France, combining automated station extraction (Amplix station 16 Dx and real-time PCR (Amplix NG, for quantifying plasma HIV-1 RNA by lyophilized HIV-1 RNA-based Amplix reagents targeting gag and LTR, using samples from HIV-1-infected adults from Central African Republic. Results. Amplix real-time PCR assay showed low limit of detection (28 copies/mL, across wide dynamic range (1.4–10 log copies/mL, 100% sensitivity and 99% specificity, high reproducibility, and accuracy with mean bias < 5%. The assay showed excellent correlations and concordance of 95.3% with the reference HIV-1 RNA load assay (Roche, with mean absolute bias of +0.097 log copies/mL by Bland-Altman analysis. The assay was able to detect and quantify the most prevalent HIV-1 subtype strains and the majority of non-B subtypes, CRFs of HIV-1 group M, and HIV-1 groups N and O circulating in Central Africa. The Amplix assay showed 100% sensitivity and 99.6% specificity to diagnose virological failure in clinical samples from antiretroviral drug-experienced patients. Conclusions. The HIV-1 RNA-based Amplix real-time PCR platform constitutes sensitive and reliable system for clinical monitoring of HIV-1 RNA load in HIV-1-infected children and adults, particularly adapted to intermediate laboratory facilities in sub-Saharan Africa.

  20. Statistical feature extraction based iris recognition system

    Indian Academy of Sciences (India)

    Atul Bansal

    features obtained from one's face [1], finger [2], voice [3] and/or iris [4, 5]. Iris recognition system is widely used in high security areas. A number of researchers have proposed various algorithms for feature extraction. A little work [6,. 7] however, has been reported using statistical techniques directly on pixel values in order to ...

  1. Spliceosomal small nuclear RNAs of Tetrahymena thermophila and some possible snRNA-snRNA base-pairing interactions

    DEFF Research Database (Denmark)

    Orum, H; Nielsen, Henrik; Engberg, J

    1991-01-01

    organisms. Furthermore, secondary structures closely similar to phylogenetically proven models can be inferred from the T. thermophila data. Analysis of the snRNA sequences identifies three potential snRNA-snRNA base-pairing interactions, all of which are consistent with available phylogenetic data. Two......We have identified and characterized the full set of spliceosomal small nuclear RNAs (snRNAs; U1, U2, U4, U5 and U6) from the ciliated protozoan Tetrahymena thermophila. With the exception of U4 snRNA, the sizes of the T. thermophila snRNAs are closely similar to their metazoan homologues. The T....... thermophila snRNAs all have unique 5' ends, which start with an adenine residue. In contrast, with the exception of U6, their 3' ends show some size heterogeneity. The primary sequences of the T. thermophila snRNAs contain the sequence motifs shown, or proposed, to be of functional importance in other...

  2. Impact of DNA extraction, sample dilution, and reagent contamination on 16S rRNA gene sequencing of human feces.

    Science.gov (United States)

    Velásquez-Mejía, Eliana P; de la Cuesta-Zuluaga, Jacobo; Escobar, Juan S

    2018-01-01

    Culture-independent methods have granted the possibility to study microbial diversity in great detail, but technical issues pose a threat to the accuracy of new findings. Biases introduced during DNA extraction can result in erroneous representations of the microbial community, particularly in samples with low microbial biomass. We evaluated the DNA extraction method, initial sample biomass, and reagent contamination on the assessment of the human gut microbiota. Fecal samples of 200 mg were subjected to 1:10 serial dilutions; total DNA was obtained using two commercial kits and the microbiota assessed by 16S ribosomal RNA (rRNA) gene sequencing. In addition, we sequenced multiple technical controls. The two kits were efficient in extracting DNA from samples with as low as 2 mg of feces. However, in instances of lower biomass, only one kit performed well. The number of reads from negative controls was negligible. Both DNA extraction kits allowed inferring microbial consortia with similar membership but different abundances. Furthermore, we found differences in the taxonomic profile of the microbial community. Unexpectedly, the effect of sample dilution was moderate and did not introduce severe bias into the microbial inference. Indeed, the microbiota inferred from fecal samples was distinguishable from that of negative controls. In most cases, samples as low as 2 mg did not result in a dissimilar representation of the microbial community compared with the undiluted sample. Our results indicate that the gut microbiota inference is not much affected by contamination with laboratory reagents but largely impacted by the protocol to extract DNA.

  3. RNA Polymerase II Second Largest Subunit Molecular Identification of Boletus griseipurpureus Corner From Thailand and Antibacterial Activity of Basidiocarp Extracts.

    Science.gov (United States)

    Aung-Aud-Chariya, Amornrat; Bangrak, Phuwadol; Lumyong, Saisamorn; Phupong, Worrapong; Aggangan, Nelly Siababa; Kamlangdee, Niyom

    2015-03-01

    Boletus griseipurpureus Corner, an edible mushroom, is a putative ectomycorrhizal fungus. Currently, the taxonomic boundary of this mushroom is unclear and its bitter taste makes it interesting for evaluating its antibacterial properties. The purpose of this study was to identify the genetic variation of this mushroom and also to evaluate any antibacterial activities. Basidiocarps were collected from 2 north-eastern provinces, Roi Et and Ubon Ratchathani, and from 2 southern provinces, Songkhla and Surat Thani, in Thailand. Genomic DNA was extracted and molecular structure was examined using the RNA polymerase II (RPB2) analysis. Antibacterial activities of basidiocarp extracts were conducted with Escherichia coli ATCC 25922, Staphylococcus aureus ATCC 29523 and methicillin-resistant Staphylococcus aureus (MRSA) 189 using the agar-well diffusion method. All the samples collected for this study constituted a monophyletic clade, which was closely related with the Boletus group of polypore fungi. For the antibacterial study, it was found that the crude methanol extract of basidiomes inhibited the growth of all bacteria in vitro more than the crude ethyl acetate extract. Basidomes collected from four locations in Thailand had low genetic variation and their extracts inhibited the growth of all tested bacteria. The health benefits of this edible species should be evaluated further.

  4. Nanoparticles for siRNA-Based Gene Silencing in Tumor Therapy.

    Science.gov (United States)

    Babu, Anish; Muralidharan, Ranganayaki; Amreddy, Narsireddy; Mehta, Meghna; Munshi, Anupama; Ramesh, Rajagopal

    2016-12-01

    Gene silencing through RNA interference (RNAi) has emerged as a potential strategy in manipulating cancer causing genes by complementary base-pairing mechanism. Small interfering RNA (siRNA) is an important RNAi tool that has found significant application in cancer therapy. However due to lack of stability, poor cellular uptake and high probability of loss-of-function due to degradation, siRNA therapeutic strategies seek safe and efficient delivery vehicles for in vivo applications. The current review discusses various nanoparticle systems currently used for siRNA delivery for cancer therapy, with emphasis on liposome based gene delivery systems. The discussion also includes various methods availed to improve nanoparticle based-siRNA delivery with target specificity and superior efficiency. Further this review describes challenges and perspectives on the development of safe and efficient nanoparticle based-siRNA-delivery systems for cancer therapy.

  5. Isolation of Microarray-Grade Total RNA, MicroRNA, and DNA from a Single PAXgene Blood RNA Tube

    DEFF Research Database (Denmark)

    Kruhøffer, Mogens; Andersen, Lars Dyrskjøt; Voss, Thorsten

    2007-01-01

    We have developed a procedure for isolation of microRNA and genomic DNA in addition to total RNA from whole blood stabilized in PAXgene Blood RNA tubes. The procedure is based on automatic extraction on a BioRobot MDx and includes isolation of DNA from a fraction of the stabilized blood......RNA was tested using spotted locked nucleic acid-based microarrays. We conclude that the yield and quality of total RNA, microRNA, and DNA from a single PAXgene blood RNA tube is sufficient for downstream microarray analysis....

  6. Mechanism of action of mRNA-based vaccines.

    Science.gov (United States)

    Iavarone, Carlo; O'hagan, Derek T; Yu, Dong; Delahaye, Nicolas F; Ulmer, Jeffrey B

    2017-09-01

    The present review summarizes the growing body of work defining the mechanisms of action of this exciting new vaccine technology that should allow rational approaches in the design of next generation mRNA vaccines. Areas covered: Bio-distribution of mRNA, localization of antigen production, role of the innate immunity, priming of the adaptive immune response, route of administration and effects of mRNA delivery systems. Expert commentary: In the last few years, the development of RNA vaccines had a fast growth, the rising number of proof will enable rational approaches to improving the effectiveness and safety of this modern class of medicine.

  7. RNA-based networks: using RNA aptamers and ribozymes as synthetic genetic devices.

    Science.gov (United States)

    Weigand, Julia E; Wittmann, Alexander; Suess, Beatrix

    2012-01-01

    Within the last few years, a set of synthetic riboswitches has been engineered, which expands the toolbox of genetic regulatory devices. Small molecule binding aptamers have been used for the design of such riboswitches by insertion into untranslated regions of mRNAs, exploiting the fact that upon ligand binding the RNA structure interferes either with translation initiation or pre-mRNA splicing in yeast. In combination with self-cleaving ribozymes, aptamers have been used to modulate RNA stability. In this chapter, we discuss the applicability of different aptamers, ways to identify novel genetic devices, the pros and cons of various insertion sites and the application of allosteric ribozymes. Our expertise help to apply synthetic riboswitches to engineer complex genetic circuits.

  8. RNA interference-based resistance against a legume mastrevirus

    Directory of Open Access Journals (Sweden)

    Mansoor Shahid

    2011-11-01

    Full Text Available Abstract Background RNA interference (RNAi is a homology-dependant gene silencing mechanism and has been widely used to engineer resistance in plants against RNA viruses. However, its usefulness in delivering resistance against plant DNA viruses belonging to family Geminiviridae is still being debated. Although the RNAi approach has been shown, using a transient assay, to be useful in countering monocotyledonous plant-infecting geminiviruses of the genus Mastrevirus, it has yet to be investigated as a means of delivering resistance to dicot-infecting mastreviruses. Chickpea chlorotic dwarf Pakistan virus (CpCDPKV is a legume-infecting mastrevirus that affects chickpea and other leguminous crops in Pakistan. Results Here a hairpin (hpRNAi construct containing sequences encompassing part of replication-associated protein gene, intergenic region and part of the movement protein gene of CpCDPKV under the control of the Cauliflower mosaic virus 35S promoter has been produced and stably transformed into Nicotiana benthamiana. Plants harboring the hairpin construct were challenged with CpCDPKV. All non-transgenic N. benthamiana plants developed symptoms of CpCDPKV infection within two weeks post-inoculation. In contrast, none of the inoculated transgenic plants showed symptoms of infection and no viral DNA could be detected by Southern hybridization. A real-time quantitative PCR analysis identified very low-level accumulation of viral DNA in the inoculated transgenic plants. Conclusions The results presented show that the RNAi-based resistance strategy is useful in protecting plants from a dicot-infecting mastrevirus. The very low levels of virus detected in plant tissue of transgenic plants distal to the inoculation site suggest that virus movement and/or viral replication was impaired leading to plants that showed no discernible signs of virus infection.

  9. Edge and line feature extraction based on covariance models

    NARCIS (Netherlands)

    van der Heijden, Ferdinand

    Image segmentation based on contour extraction usually involves three stages of image operations: feature extraction, edge detection and edge linking. This paper is devoted to the first stage: a method to design feature extractors used to detect edges from noisy and/or blurred images.

  10. Nanotechnology-Based Strategies for siRNA Brain Delivery for Disease Therapy.

    Science.gov (United States)

    Zheng, Meng; Tao, Wei; Zou, Yan; Farokhzad, Omid C; Shi, Bingyang

    2018-02-05

    Small interfering RNA (siRNA)-based gene silencing technology has demonstrated significant potential for treating brain-associated diseases. However, effective and safe systemic delivery of siRNA into the brain remains challenging because of biological barriers such as enzymatic degradation, short circulation lifetime, the blood-brain barrier (BBB), insufficient tissue penetration, cell endocytosis, and cytosolic transport. Nanotechnology offers intriguing potential for addressing these challenges in siRNA brain delivery in conjunction with chemical and biological modification strategies. In this review, we outline the challenges of systemic delivery of siRNA-based therapy for brain diseases, highlight recent advances in the development and engineering of siRNA nanomedicines for various brain diseases, and discuss our perspectives on this exciting research field for siRNA-based therapy towards more effective brain disease therapy. Copyright © 2018 Elsevier Ltd. All rights reserved.

  11. General enumeration of RNA secondary structures based on new ...

    African Journals Online (AJOL)

    akpobome

    In Biology, the nucleic acids play an important role in coding, transferring and retrieving genetic information, and in directing cell metabolism. The nucleic acid includes DNA and RNA molecule. RNA molecule is a single-stranded nucleic acid of four different kinds of nucleotides. The four nucleotides only differ by one part,.

  12. Unsupervised Extraction of Diagnosis Codes from EMRs Using Knowledge-Based and Extractive Text Summarization Techniques

    Science.gov (United States)

    Kavuluru, Ramakanth; Han, Sifei; Harris, Daniel

    2017-01-01

    Diagnosis codes are extracted from medical records for billing and reimbursement and for secondary uses such as quality control and cohort identification. In the US, these codes come from the standard terminology ICD-9-CM derived from the international classification of diseases (ICD). ICD-9 codes are generally extracted by trained human coders by reading all artifacts available in a patient’s medical record following specific coding guidelines. To assist coders in this manual process, this paper proposes an unsupervised ensemble approach to automatically extract ICD-9 diagnosis codes from textual narratives included in electronic medical records (EMRs). Earlier attempts on automatic extraction focused on individual documents such as radiology reports and discharge summaries. Here we use a more realistic dataset and extract ICD-9 codes from EMRs of 1000 inpatient visits at the University of Kentucky Medical Center. Using named entity recognition (NER), graph-based concept-mapping of medical concepts, and extractive text summarization techniques, we achieve an example based average recall of 0.42 with average precision 0.47; compared with a baseline of using only NER, we notice a 12% improvement in recall with the graph-based approach and a 7% improvement in precision using the extractive text summarization approach. Although diagnosis codes are complex concepts often expressed in text with significant long range non-local dependencies, our present work shows the potential of unsupervised methods in extracting a portion of codes. As such, our findings are especially relevant for code extraction tasks where obtaining large amounts of training data is difficult. PMID:28748227

  13. Unsupervised Extraction of Diagnosis Codes from EMRs Using Knowledge-Based and Extractive Text Summarization Techniques.

    Science.gov (United States)

    Kavuluru, Ramakanth; Han, Sifei; Harris, Daniel

    2013-05-01

    Diagnosis codes are extracted from medical records for billing and reimbursement and for secondary uses such as quality control and cohort identification. In the US, these codes come from the standard terminology ICD-9-CM derived from the international classification of diseases (ICD). ICD-9 codes are generally extracted by trained human coders by reading all artifacts available in a patient's medical record following specific coding guidelines. To assist coders in this manual process, this paper proposes an unsupervised ensemble approach to automatically extract ICD-9 diagnosis codes from textual narratives included in electronic medical records (EMRs). Earlier attempts on automatic extraction focused on individual documents such as radiology reports and discharge summaries. Here we use a more realistic dataset and extract ICD-9 codes from EMRs of 1000 inpatient visits at the University of Kentucky Medical Center. Using named entity recognition (NER), graph-based concept-mapping of medical concepts, and extractive text summarization techniques, we achieve an example based average recall of 0.42 with average precision 0.47; compared with a baseline of using only NER, we notice a 12% improvement in recall with the graph-based approach and a 7% improvement in precision using the extractive text summarization approach. Although diagnosis codes are complex concepts often expressed in text with significant long range non-local dependencies, our present work shows the potential of unsupervised methods in extracting a portion of codes. As such, our findings are especially relevant for code extraction tasks where obtaining large amounts of training data is difficult.

  14. SARNA-Predict: accuracy improvement of RNA secondary structure prediction using permutation-based simulated annealing.

    Science.gov (United States)

    Tsang, Herbert H; Wiese, Kay C

    2010-01-01

    Ribonucleic acid (RNA), a single-stranded linear molecule, is essential to all biological systems. Different regions of the same RNA strand will fold together via base pair interactions to make intricate secondary and tertiary structures that guide crucial homeostatic processes in living organisms. Since the structure of RNA molecules is the key to their function, algorithms for the prediction of RNA structure are of great value. In this article, we demonstrate the usefulness of SARNA-Predict, an RNA secondary structure prediction algorithm based on Simulated Annealing (SA). A performance evaluation of SARNA-Predict in terms of prediction accuracy is made via comparison with eight state-of-the-art RNA prediction algorithms: mfold, Pseudoknot (pknotsRE), NUPACK, pknotsRG-mfe, Sfold, HotKnots, ILM, and STAR. These algorithms are from three different classes: heuristic, dynamic programming, and statistical sampling techniques. An evaluation for the performance of SARNA-Predict in terms of prediction accuracy was verified with native structures. Experiments on 33 individual known structures from eleven RNA classes (tRNA, viral RNA, antigenomic HDV, telomerase RNA, tmRNA, rRNA, RNaseP, 5S rRNA, Group I intron 23S rRNA, Group I intron 16S rRNA, and 16S rRNA) were performed. The results presented in this paper demonstrate that SARNA-Predict can out-perform other state-of-the-art algorithms in terms of prediction accuracy. Furthermore, there is substantial improvement of prediction accuracy by incorporating a more sophisticated thermodynamic model (efn2).

  15. Enhancement of Twins Fetal ECG Signal Extraction Based on Hybrid Blind Extraction Techniques

    Directory of Open Access Journals (Sweden)

    Ahmed Kareem Abdullah

    2017-07-01

    Full Text Available ECG machines are noninvasive system used to measure the heartbeat signal. It’s very important to monitor the fetus ECG signals during pregnancy to check the heat activity and to detect any problem early before born, therefore the monitoring of ECG signals have clinical significance and importance. For multi-fetal pregnancy case the classical filtering algorithms are not sufficient to separate the ECG signals between mother and fetal. In this paper the mixture consists of mixing from three ECG signals, the first signal is the mother ECG (M-ECG signal, second signal the Fetal-1 ECG (F1-ECG, and third signal is the Fetal-2 ECG (F2-ECG, these signals are extracted based on modified blind source extraction (BSE techniques. The proposed work based on hybridization between two BSE techniques to ensure that the extracted signals separated well. The results demonstrate that the proposed work very efficiently to extract the useful ECG signals

  16. Effect of organic bases on extraction of gadolinium carboxylates

    International Nuclear Information System (INIS)

    Sukhan, V.V.; Frankovskij, V.A.

    1982-01-01

    The effect of pyridine, 2-aminopyridine, benzylamine, antipyrine and o-phenanthroline on the extraction of capronates and bromocapronates of gadolinium with chloroform is studied. Out of the studied organic bases benzylamine produces the highest synergetic effect. In the absence of organic bases gadolinium carboxylates, solvated by three molecules of carbonic acids, are extracted into organic phase. A possihility of extractional separation of gadolinium from comparable amounts of iron with the mixture of 1 M solutions of caproic or bromocaproic acids with 1 M benzylamine from 0.1 M solution of tartaric acids is shown [ru

  17. RNA interference-based strategies for the inhibition of picornaviruses

    OpenAIRE

    Rothe, Diana

    2011-01-01

    Die Inhibition von Viren mittels RNA-Interferenz hat sich in den letzten Jahren als ein neuer und vielversprechender therapeutischer Ansatz erwiesen. Die vorliegende Arbeit beschreibt sowohl die Optimierung von siRNA-basierten antiviralen Ansätzen als auch neue Methoden, die eine therapeutische Anwendung vereinfachen können. 1. Für ihre Replikation synthetisieren Picornaviren einen RNA-Minus-Strang, der als Matrize für den genomischen Plus-Strang dient. In der vorliegenden Arbeit konnte mit H...

  18. Shortcomings of short hairpin RNA-based transgenic RNA interference in mouse oocytes

    Czech Academy of Sciences Publication Activity Database

    Sarnová, Lenka; Malík, Radek; Sedláček, Radislav; Svoboda, Petr

    2010-01-01

    Roč. 9, č. 8 (2010), s. 1-10 ISSN 1477-5751 R&D Projects: GA MŠk ME09039 Grant - others:EMBO SDIG(DE) project 1483 Institutional research plan: CEZ:AV0Z50520514 Keywords : transgenic RNAi * shRNA * oocyte Subject RIV: EB - Genetics ; Molecular Biology http://www.jnrbm.com/content/9/1/8

  19. Optimization of ribosome structure and function by rRNA base modification.

    Directory of Open Access Journals (Sweden)

    Jennifer L Baxter-Roshek

    2007-01-01

    Full Text Available Translating mRNA sequences into functional proteins is a fundamental process necessary for the viability of organisms throughout all kingdoms of life. The ribosome carries out this process with a delicate balance between speed and accuracy. This work investigates how ribosome structure and function are affected by rRNA base modification. The prevailing view is that rRNA base modifications serve to fine tune ribosome structure and function.To test this hypothesis, yeast strains deficient in rRNA modifications in the ribosomal peptidyltransferase center were monitored for changes in and translational fidelity. These studies revealed allele-specific sensitivity to translational inhibitors, changes in reading frame maintenance, nonsense suppression and aa-tRNA selection. Ribosomes isolated from two mutants with the most pronounced phenotypic changes had increased affinities for aa-tRNA, and surprisingly, increased rates of peptidyltransfer as monitored by the puromycin assay. rRNA chemical analyses of one of these mutants identified structural changes in five specific bases associated with the ribosomal A-site.Together, the data suggest that modification of these bases fine tune the structure of the A-site region of the large subunit so as to assure correct positioning of critical rRNA bases involved in aa-tRNA accommodation into the PTC, of the eEF-1A.aa-tRNA.GTP ternary complex with the GTPase associated center, and of the aa-tRNA in the A-site. These findings represent a direct demonstration in support of the prevailing hypothesis that rRNA modifications serve to optimize rRNA structure for production of accurate and efficient ribosomes.

  20. Exploration of the molecular mechanism of prostate cancer based on mRNA and miRNA expression profiles

    Directory of Open Access Journals (Sweden)

    Zhang X

    2017-06-01

    Full Text Available Xing Zhang,1 YuYan Sun,1 Peng Wang,1 Changfu Yang,1 Shengwei Li2 1Department of Urology, 2Surgery of Chinese Medicine, Yangzhou TCM Hospital, Nanjing University of Chinese Medicine, Yangzhou, People’s Republic of China Abstract: Prostate cancer, the second most common cancer in men, has been rarely explored by integrating mRNA and miRNA expression profiles. In this study, we combined two mRNA expression datasets and six documented miRNAs to uncover the comprehensive molecular mechanism of prostate cancer. Results showed that a total of 30 genes were significantly differentially expressed in 49 tumor samples by comparing with 22 normal samples. Importantly, all samples from the two datasets can be clearly classified into two groups, tumor group and normal group, based on the selected differentially expressed genes (DEGs. The miRNA–mRNA regulation network indicated that 4 out of 30 DEGs can be regulated by three miRNAs. In addition, prognostic performance validation using in silico databases showed that the DEGs can significantly differentiate between low-risk and high-risk prostate cancer. In summary, multiple biological processes are probably involved in the development and progression of prostate cancer. First, dysregulation of SV2 can regulate transporter and transmembrane transporter activity and then provide the necessary nutrients for tumor cell proliferation. Second, HOXD10 can induce cell proliferation via TCF-4. Finally, dysregulation of CACNA1D can further suppress tumor apoptosis in prostate cancer. The identification of critical genes and valuable biological processes can be useful for the understanding of the molecular mechanism of prostate cancer. Keywords: mRNA, DEGs, miRNA, prognostic

  1. In Silico Meets In Vivo: Towards Computational CRISPR-Based sgRNA Design.

    Science.gov (United States)

    Chuai, Guo-Hui; Wang, Qi-Long; Liu, Qi

    2017-01-01

    CRISPR-based genome editing has been widely implemented in various cell types. In silico single guide RNA (sgRNA) design is a key step for successful gene editing using the CRISPR system, and continuing efforts are aimed at refining in silico sgRNA design with high on-target efficacy and reduced off-target effects. Many sgRNA design tools are available, but careful assessments of their application scenarios and performance benchmarks across different types of genome-editing data are needed. Efficient in silico models can be built that integrate current heterogeneous genome-editing data to derive unbiased sgRNA design rules and identify key features for improving sgRNA design. Comprehensive evaluation of on-target and off-target effects of sgRNA will allow more precise genome editing and gene therapies using the CRISPR system. Copyright © 2016 Elsevier Ltd. All rights reserved.

  2. Extraction of high quality of RNA and construction of a suppression subtractive hybridization (SSH) library from chestnut rose (Rosa roxburghii Tratt).

    Science.gov (United States)

    Xu, Qiang; Wen, Xiaopeng; Tao, Nengguo; Hu, Zhiyong; Yue, Hailin; Deng, Xiuxin

    2006-04-01

    Chestnut rose (Rosa roxburghii Tratt) is a rare fruit crop of promising economical importance in fruit and ornamental exploitation in China. Isolation of high quality RNA from chestnut rose is difficult due to its high levels of polyphenols, polysaccharides and other compounds, but a modified CTAB extraction procedure without phenol gave satisfactory results. High concentrations of PVP (2%, w/v), CTAB (2%, w/v) and beta-mercaptoethanol (4%, v/v) were used in the extraction buffer to improve RNA quality. The average yield was about 200 microg RNA g(-1) fresh leaves. The isolated RNA was of sufficient quality for construction of suppression subtraction hybridization (SSH) library, which allowed the isolation of several pathogen-induced defense genes.

  3. Activated charcoal-mediated RNA extraction method for Azadirachta indica and plants highly rich in polyphenolics, polysaccharides and other complex secondary compounds

    Science.gov (United States)

    2013-01-01

    Background High quality RNA is a primary requisite for numerous molecular biological applications but is difficult to isolate from several plants rich in polysaccharides, polyphenolics and other secondary metabolites. These compounds either bind with nucleic acids or often co-precipitate at the final step and many times cannot be removed by conventional methods and kits. Addition of vinyl-pyrollidone polymers in extraction buffer efficiently removes polyphenolics to some extent, but, it failed in case of Azadirachta indica and several other medicinal and aromatic plants. Findings Here we report the use of adsorption property of activated charcoal (0.03%–0.1%) in RNA isolation procedures to remove complex secondary metabolites and polyphenolics to yield good quality RNA from Azadirachta indica. We tested and validated our modified RNA isolation method across 21 different plants including Andrographis paniculata, Aloe vera, Rosa damascena, Pelargonium graveolens, Phyllanthus amarus etc. from 13 other different families, many of which are considered as tough system for isolating RNA. The A260/280 ratio of the extracted RNA ranged between 1.8-2.0 and distinct 28S and 18S ribosomal RNA bands were observed in denaturing agarose gel electrophoresis. Analysis using Agilent 2100 Bioanalyzer revealed intact total RNA yield with very good RNA Integrity Number. Conclusions The RNA isolated by our modified method was found to be of high quality and amenable for sensitive downstream molecular applications like subtractive library construction and RT-PCR. This modified RNA isolation procedure would aid and accelerate the biotechnological studies in complex medicinal and aromatic plants which are extremely rich in secondary metabolic compounds. PMID:23537338

  4. Activated charcoal-mediated RNA extraction method for Azadirachta indica and plants highly rich in polyphenolics, polysaccharides and other complex secondary compounds.

    Science.gov (United States)

    Rajakani, Raja; Narnoliya, Lokesh; Sangwan, Neelam Singh; Sangwan, Rajender Singh; Gupta, Vikrant

    2013-03-28

    High quality RNA is a primary requisite for numerous molecular biological applications but is difficult to isolate from several plants rich in polysaccharides, polyphenolics and other secondary metabolites. These compounds either bind with nucleic acids or often co-precipitate at the final step and many times cannot be removed by conventional methods and kits. Addition of vinyl-pyrollidone polymers in extraction buffer efficiently removes polyphenolics to some extent, but, it failed in case of Azadirachta indica and several other medicinal and aromatic plants. Here we report the use of adsorption property of activated charcoal (0.03%-0.1%) in RNA isolation procedures to remove complex secondary metabolites and polyphenolics to yield good quality RNA from Azadirachta indica. We tested and validated our modified RNA isolation method across 21 different plants including Andrographis paniculata, Aloe vera, Rosa damascena, Pelargonium graveolens, Phyllanthus amarus etc. from 13 other different families, many of which are considered as tough system for isolating RNA. The A260/280 ratio of the extracted RNA ranged between 1.8-2.0 and distinct 28S and 18S ribosomal RNA bands were observed in denaturing agarose gel electrophoresis. Analysis using Agilent 2100 Bioanalyzer revealed intact total RNA yield with very good RNA Integrity Number. The RNA isolated by our modified method was found to be of high quality and amenable for sensitive downstream molecular applications like subtractive library construction and RT-PCR. This modified RNA isolation procedure would aid and accelerate the biotechnological studies in complex medicinal and aromatic plants which are extremely rich in secondary metabolic compounds.

  5. Investigation of RNA Structure by High-Throughput SHAPE-Based Probing Methods

    DEFF Research Database (Denmark)

    Poulsen, Line Dahl

    of highthroughput SHAPE-based approaches to investigate RNA structure based on novel SHAPE reagents that permit selection of full-length cDNAs. The SHAPE Selection (SHAPES) method is applied to the foot-and-mouth disease virus (FMDV) plus strand RNA genome, and the data is used to construct a genome-wide structural...

  6. Structural landscape of base pairs containing post-transcriptional modifications in RNA.

    Science.gov (United States)

    Seelam, Preethi P; Sharma, Purshotam; Mitra, Abhijit

    2017-06-01

    Base pairs involving post-transcriptionally modified nucleobases are believed to play important roles in a wide variety of functional RNAs. Here we present our attempts toward understanding the structural and functional role of naturally occurring modified base pairs using a combination of X-ray crystal structure database analysis, sequence analysis, and advanced quantum chemical methods. Our bioinformatics analysis reveals that despite their presence in all major secondary structural elements, modified base pairs are most prevalent in tRNA crystal structures and most commonly involve guanine or uridine modifications. Further, analysis of tRNA sequences reveals additional examples of modified base pairs at structurally conserved tRNA regions and highlights the conservation patterns of these base pairs in three domains of life. Comparison of structures and binding energies of modified base pairs with their unmodified counterparts, using quantum chemical methods, allowed us to classify the base modifications in terms of the nature of their electronic structure effects on base-pairing. Analysis of specific structural contexts of modified base pairs in RNA crystal structures revealed several interesting scenarios, including those at the tRNA:rRNA interface, antibiotic-binding sites on the ribosome, and the three-way junctions within tRNA. These scenarios, when analyzed in the context of available experimental data, allowed us to correlate the occurrence and strength of modified base pairs with their specific functional roles. Overall, our study highlights the structural importance of modified base pairs in RNA and points toward the need for greater appreciation of the role of modified bases and their interactions, in the context of many biological processes involving RNA. © 2017 Seelam et al.; Published by Cold Spring Harbor Laboratory Press for the RNA Society.

  7. Novel thiosalicylate-based ionic liquids for heavy metal extractions

    Energy Technology Data Exchange (ETDEWEB)

    Leyma, Raphlin; Platzer, Sonja [Institute of Inorganic Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Str. 42, A-1090 Vienna (Austria); Jirsa, Franz [Institute of Inorganic Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Str. 42, A-1090 Vienna (Austria); Department of Zoology, University of Johannesburg, PO Box 524, Auckland Park, 2006, Johannesburg (South Africa); Kandioller, Wolfgang, E-mail: wolfgang.kandioller@univie.ac.at [Institute of Inorganic Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Str. 42, A-1090 Vienna (Austria); Krachler, Regina; Keppler, Bernhard K. [Institute of Inorganic Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Str. 42, A-1090 Vienna (Austria)

    2016-08-15

    Highlights: • Six thiosalicylate-based ammonium and phosphonium ionic liquids (ILs) were newly synthesized. • ILs showed good extraction of cadmium, copper, and zinc. • Phosphonium ILs showed better extraction efficiencies than their ammonium counterparts. - Abstract: This study aims to develop novel ammonium and phosphonium ionic liquids (ILs) with thiosalicylate (TS) derivatives as anions and evaluate their extracting efficiencies towards heavy metals in aqueous solutions. Six ILs were synthesized, characterized, and investigated for their extracting efficacies for cadmium, copper, and zinc. Liquid-liquid extractions of Cu, Zn, or Cd with ILs after 1–24 h using model solutions (pH 7; 0.1 M CaCl{sub 2}) were assessed using flame atomic absorption spectroscopy (F-AAS). Phosphonium-based ILs trihexyltetradecylphosphonium 2-(propylthio)benzoate [P{sub 66614}][PTB] and 2-(benzylthio)benzoate [P{sub 66614}][BTB] showed best extraction efficiency for copper and cadmium, respectively and zinc was extracted to a high degree by [P{sub 66614}][BTB] exclusively.

  8. Antioxidant properties of cumin (Bunium persicum Boiss. extract and its protective role against abiotic stress tested by microRNA markers

    Directory of Open Access Journals (Sweden)

    Katarína Ražná

    2018-02-01

    Full Text Available Bunium persicum Boiss. seeds have been used for medicinal and nutritional properties such as antioxidant, antihelmetic and antimicrobial activity. The aim of this study was to to tested protective role of cumin extract against abiotic stress by microRNA markers. Secondary also was to evaluate antioxidant activity as well as total polyphenol, flavonoid and phenolic acid content of cumin extract. We observed that cumin DNA itself has not been damaged by sonication teratment. This protective impact indicates that cumin antioxidant properties can efficiently quench free radicals induced by sonication. On the other side, ultrasound-mediated formation of reactive oxygen species did induce the DNA polymorphism of lettuce samples which was detected by miRNAs-based markers. The range of sonication impact was time-dependent. Markers based of miRNA-DNA sequences has proven to be an effective tool. We have confirmed statistically significant differences (p ≤0.01 in miRNAs markers ability to detect the polymorphism due to sonication treatment.  The antioxidant activity was determined by a method using DPPH radical and phosphomolybdenum method, total polyphenol content with Folin - Ciocalteu reagent, total flavonoid with aluminium-chloride mehod and total phenolic acid with Arnova reagent. Results showed that cumin is rich for biologically active substances and can be used more in different kind of industry as a cheap source of these substances. Antioxidant activity with DPPH method was 1.18 mg TEAC.g-1 (TEAC - Trolox equivalent antioxidant capacity per g of sample and by phosphomolybdenum method 45.23 mg TEAC.g-1. Total polyphenol content achieved value 4.22 mg GAE.g-1 (GAE - gallic acid equivalent per g of sample, total flavonoid content value 10.91 mg QE.g-1 (QE - quercetin equivalent per g of sample and total phenolic acid content value 5.07 mg CAE.g-1 (CAE - caffeic acid equivalent per g of sample.

  9. A semi-supervised learning framework for biomedical event extraction based on hidden topics.

    Science.gov (United States)

    Zhou, Deyu; Zhong, Dayou

    2015-05-01

    Scientists have devoted decades of efforts to understanding the interaction between proteins or RNA production. The information might empower the current knowledge on drug reactions or the development of certain diseases. Nevertheless, due to the lack of explicit structure, literature in life science, one of the most important sources of this information, prevents computer-based systems from accessing. Therefore, biomedical event extraction, automatically acquiring knowledge of molecular events in research articles, has attracted community-wide efforts recently. Most approaches are based on statistical models, requiring large-scale annotated corpora to precisely estimate models' parameters. However, it is usually difficult to obtain in practice. Therefore, employing un-annotated data based on semi-supervised learning for biomedical event extraction is a feasible solution and attracts more interests. In this paper, a semi-supervised learning framework based on hidden topics for biomedical event extraction is presented. In this framework, sentences in the un-annotated corpus are elaborately and automatically assigned with event annotations based on their distances to these sentences in the annotated corpus. More specifically, not only the structures of the sentences, but also the hidden topics embedded in the sentences are used for describing the distance. The sentences and newly assigned event annotations, together with the annotated corpus, are employed for training. Experiments were conducted on the multi-level event extraction corpus, a golden standard corpus. Experimental results show that more than 2.2% improvement on F-score on biomedical event extraction is achieved by the proposed framework when compared to the state-of-the-art approach. The results suggest that by incorporating un-annotated data, the proposed framework indeed improves the performance of the state-of-the-art event extraction system and the similarity between sentences might be precisely

  10. Moving Target Information Extraction Based on Single Satellite Image

    Directory of Open Access Journals (Sweden)

    ZHAO Shihu

    2015-03-01

    Full Text Available The spatial and time variant effects in high resolution satellite push broom imaging are analyzed. A spatial and time variant imaging model is established. A moving target information extraction method is proposed based on a single satellite remote sensing image. The experiment computes two airplanes' flying speed using ZY-3 multispectral image and proves the validity of spatial and time variant model and moving information extracting method.

  11. Lanthanide sorbent based on magnetite nanoparticles functionalized with organophosphorus extractants

    OpenAIRE

    Basualto, C.; Gaete, J.; Molina, L.; Valenzuela, F.; Yáñez, C.; Marco, J.F.

    2015-01-01

    © 2015 National Institute for Materials Science. In this work, an adsorbent was prepared based on the attachment of organophosphorus acid extractants, namely, D2EHPA, CYANEX 272, and CYANEX 301, to the surface of superparamagnetic magnetite (Fe3O4) nanoparticles. The synthesized nanoparticles were coated with oleic acid, first by a chemisorption mechanism and later by the respective extractant via physical adsorption. The obtained core-shell functionalized magnetite nanoparticle composites we...

  12. Tracking fungal community responses to maize plants by DNA- and RNA-based pyrosequencing.

    Directory of Open Access Journals (Sweden)

    Eiko E Kuramae

    Full Text Available We assessed soil fungal diversity and community structure at two sampling times (t1 = 47 days and t2 = 104 days of plant age in pots associated with four maize cultivars, including two genetically modified (GM cultivars by high-throughput pyrosequencing of the 18S rRNA gene using DNA and RNA templates. We detected no significant differences in soil fungal diversity and community structure associated with different plant cultivars. However, DNA-based analyses yielded lower fungal OTU richness as compared to RNA-based analyses. Clear differences in fungal community structure were also observed in relation to sampling time and the nucleic acid pool targeted (DNA versus RNA. The most abundant soil fungi, as recovered by DNA-based methods, did not necessary represent the most "active" fungi (as recovered via RNA. Interestingly, RNA-derived community compositions at t1 were highly similar to DNA-derived communities at t2, based on presence/absence measures of OTUs. We recovered large proportions of fungal sequences belonging to arbuscular mycorrhizal fungi and Basidiomycota, especially at the RNA level, suggesting that these important and potentially beneficial fungi are not affected by the plant cultivars nor by GM traits (Bt toxin production. Our results suggest that even though DNA- and RNA-derived soil fungal communities can be very different at a given time, RNA composition may have a predictive power of fungal community development through time.

  13. GARN: Sampling RNA 3D Structure Space with Game Theory and Knowledge-Based Scoring Strategies.

    Science.gov (United States)

    Boudard, Mélanie; Bernauer, Julie; Barth, Dominique; Cohen, Johanne; Denise, Alain

    2015-01-01

    Cellular processes involve large numbers of RNA molecules. The functions of these RNA molecules and their binding to molecular machines are highly dependent on their 3D structures. One of the key challenges in RNA structure prediction and modeling is predicting the spatial arrangement of the various structural elements of RNA. As RNA folding is generally hierarchical, methods involving coarse-grained models hold great promise for this purpose. We present here a novel coarse-grained method for sampling, based on game theory and knowledge-based potentials. This strategy, GARN (Game Algorithm for RNa sampling), is often much faster than previously described techniques and generates large sets of solutions closely resembling the native structure. GARN is thus a suitable starting point for the molecular modeling of large RNAs, particularly those with experimental constraints. GARN is available from: http://garn.lri.fr/.

  14. High-Throughput Sequencing Based Methods of RNA Structure Investigation

    DEFF Research Database (Denmark)

    Kielpinski, Lukasz Jan

    In this thesis we describe the development of four related methods for RNA structure probing that utilize massive parallel sequencing. Using them, we were able to gather structural data for multiple, long molecules simultaneously. First, we have established an easy to follow experimental and comp......In this thesis we describe the development of four related methods for RNA structure probing that utilize massive parallel sequencing. Using them, we were able to gather structural data for multiple, long molecules simultaneously. First, we have established an easy to follow experimental...... with known priming sites....

  15. The single-step method of RNA isolation by acid guanidinium thiocyanate-phenol-chloroform extraction: twenty-something years on.

    Science.gov (United States)

    Chomczynski, Piotr; Sacchi, Nicoletta

    2006-01-01

    Since its introduction, the 'single-step' method has become widely used for isolating total RNA from biological samples of different sources. The principle at the basis of the method is that RNA is separated from DNA after extraction with an acidic solution containing guanidinium thiocyanate, sodium acetate, phenol and chloroform, followed by centrifugation. Under acidic conditions, total RNA remains in the upper aqueous phase, while most of DNA and proteins remain either in the interphase or in the lower organic phase. Total RNA is then recovered by precipitation with isopropanol and can be used for several applications. The original protocol, enabling the isolation of RNA from cells and tissues in less than 4 hours, greatly advanced the analysis of gene expression in plant and animal models as well as in pathological samples, as demonstrated by the overwhelming number of citations the paper gained over 20 years.

  16. RNA-TVcurve: a Web server for RNA secondary structure comparison based on a multi-scale similarity of its triple vector curve representation.

    Science.gov (United States)

    Li, Ying; Shi, Xiaohu; Liang, Yanchun; Xie, Juan; Zhang, Yu; Ma, Qin

    2017-01-21

    RNAs have been found to carry diverse functionalities in nature. Inferring the similarity between two given RNAs is a fundamental step to understand and interpret their functional relationship. The majority of functional RNAs show conserved secondary structures, rather than sequence conservation. Those algorithms relying on sequence-based features usually have limitations in their prediction performance. Hence, integrating RNA structure features is very critical for RNA analysis. Existing algorithms mainly fall into two categories: alignment-based and alignment-free. The alignment-free algorithms of RNA comparison usually have lower time complexity than alignment-based algorithms. An alignment-free RNA comparison algorithm was proposed, in which novel numerical representations RNA-TVcurve (triple vector curve representation) of RNA sequence and corresponding secondary structure features are provided. Then a multi-scale similarity score of two given RNAs was designed based on wavelet decomposition of their numerical representation. In support of RNA mutation and phylogenetic analysis, a web server (RNA-TVcurve) was designed based on this alignment-free RNA comparison algorithm. It provides three functional modules: 1) visualization of numerical representation of RNA secondary structure; 2) detection of single-point mutation based on secondary structure; and 3) comparison of pairwise and multiple RNA secondary structures. The inputs of the web server require RNA primary sequences, while corresponding secondary structures are optional. For the primary sequences alone, the web server can compute the secondary structures using free energy minimization algorithm in terms of RNAfold tool from Vienna RNA package. RNA-TVcurve is the first integrated web server, based on an alignment-free method, to deliver a suite of RNA analysis functions, including visualization, mutation analysis and multiple RNAs structure comparison. The comparison results with two popular RNA

  17. Noninvasive extraction of fetal electrocardiogram based on Support Vector Machine

    Science.gov (United States)

    Fu, Yumei; Xiang, Shihan; Chen, Tianyi; Zhou, Ping; Huang, Weiyan

    2015-10-01

    The fetal electrocardiogram (FECG) signal has important clinical value for diagnosing the fetal heart diseases and choosing suitable therapeutics schemes to doctors. So, the noninvasive extraction of FECG from electrocardiogram (ECG) signals becomes a hot research point. A new method, the Support Vector Machine (SVM) is utilized for the extraction of FECG with limited size of data. Firstly, the theory of the SVM and the principle of the extraction based on the SVM are studied. Secondly, the transformation of maternal electrocardiogram (MECG) component in abdominal composite signal is verified to be nonlinear and fitted with the SVM. Then, the SVM is trained, and the training results are compared with the real data to ensure the effect of the training. Meanwhile, the parameters of the SVM are optimized to achieve the best performance so that the learning machine can be utilized to fit the unknown samples. Finally, the FECG is extracted by removing the optimal estimation of MECG component from the abdominal composite signal. In order to evaluate the performance of FECG extraction based on the SVM, the Signal-to-Noise Ratio (SNR) and the visual test are used. The experimental results show that the FECG with good quality can be extracted, its SNR ratio is significantly increased as high as 9.2349 dB and the time cost is significantly decreased as short as 0.802 seconds. Compared with the traditional method, the noninvasive extraction method based on the SVM has a simple realization, the shorter treatment time and the better extraction quality under the same conditions.

  18. Design of guanidinium ionic liquid based microwave-assisted extraction for the efficient extraction of Praeruptorin A from Radix peucedani.

    Science.gov (United States)

    Ding, Xueqin; Li, Li; Wang, Yuzhi; Chen, Jing; Huang, Yanhua; Xu, Kaijia

    2014-12-01

    A series of novel tetramethylguanidinium ionic liquids and hexaalkylguanidinium ionic liquids have been synthesized based on 1,1,3,3-tetramethylguanidine. The structures of the ionic liquids were confirmed by (1)H NMR spectroscopy and mass spectrometry. A green guanidinium ionic liquid based microwave-assisted extraction method has been developed with these guanidinium ionic liquids for the effective extraction of Praeruptorin A from Radix peucedani. After extraction, reversed-phase high-performance liquid chromatography with UV detection was employed for the analysis of Praeruptorin A. Several significant operating parameters were systematically optimized by single-factor and L9 (3(4)) orthogonal array experiments. The amount of Praeruptorin A extracted by [1,1,3,3-tetramethylguanidine]CH2CH(OH)COOH is the highest, reaching 11.05 ± 0.13 mg/g. Guanidinium ionic liquid based microwave-assisted extraction presents unique advantages in Praeruptorin A extraction compared with guanidinium ionic liquid based maceration extraction, guanidinium ionic liquid based heat reflux extraction and guanidinium ionic liquid based ultrasound-assisted extraction. The precision, stability, and repeatability of the process were investigated. The mechanisms of guanidinium ionic liquid based microwave-assisted extraction were researched by scanning electron microscopy and IR spectroscopy. All the results show that guanidinium ionic liquid based microwave-assisted extraction has a huge potential in the extraction of bioactive compounds from complex samples. © 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

  19. Learning-based meta-algorithm for MRI brain extraction.

    Science.gov (United States)

    Shi, Feng; Wang, Li; Gilmore, John H; Lin, Weili; Shen, Dinggang

    2011-01-01

    Multiple-segmentation-and-fusion method has been widely used for brain extraction, tissue segmentation, and region of interest (ROI) localization. However, such studies are hindered in practice by their computational complexity, mainly coming from the steps of template selection and template-to-subject nonlinear registration. In this study, we address these two issues and propose a novel learning-based meta-algorithm for MRI brain extraction. Specifically, we first use exemplars to represent the entire template library, and assign the most similar exemplar to the test subject. Second, a meta-algorithm combining two existing brain extraction algorithms (BET and BSE) is proposed to conduct multiple extractions directly on test subject. Effective parameter settings for the meta-algorithm are learned from the training data and propagated to subject through exemplars. We further develop a level-set based fusion method to combine multiple candidate extractions together with a closed smooth surface, for obtaining the final result. Experimental results show that, with only a small portion of subjects for training, the proposed method is able to produce more accurate and robust brain extraction results, at Jaccard Index of 0.956 +/- 0.010 on total 340 subjects under 6-fold cross validation, compared to those by the BET and BSE even using their best parameter combinations.

  20. Skeleton extraction based on the topology and Snakes model

    Directory of Open Access Journals (Sweden)

    Yuanxue Cai

    Full Text Available A new skeleton line extraction method based on topology and flux is proposed by analyzing the distribution characteristics of the gradient vector field in the Snakes model. The distribution characteristics of the skeleton line are accurately obtained by calculating the eigenvalues of the critical points and the flux of the gradient vector field. Then the skeleton lines can be effectively extracted. The results also show that there is no need for the pretreatment or binarization of the target image. The skeleton lines of complex gray images such as optical interference patterns can be effectively extracted by using this method. Compared to traditional methods, this method has many advantages, such as high extraction accuracy and fast processing speed. Keywords: Skeleton, Snakes model, Topology, Photoelasticity image

  1. Feature extraction for deep neural networks based on decision boundaries

    Science.gov (United States)

    Woo, Seongyoun; Lee, Chulhee

    2017-05-01

    Feature extraction is a process used to reduce data dimensions using various transforms while preserving the discriminant characteristics of the original data. Feature extraction has been an important issue in pattern recognition since it can reduce the computational complexity and provide a simplified classifier. In particular, linear feature extraction has been widely used. This method applies a linear transform to the original data to reduce the data dimensions. The decision boundary feature extraction method (DBFE) retains only informative directions for discriminating among the classes. DBFE has been applied to various parametric and non-parametric classifiers, which include the Gaussian maximum likelihood classifier (GML), the k-nearest neighbor classifier, support vector machines (SVM) and neural networks. In this paper, we apply DBFE to deep neural networks. This algorithm is based on the nonparametric version of DBFE, which was developed for neural networks. Experimental results with the UCI database show improved classification accuracy with reduced dimensionality.

  2. Skeleton extraction based on the topology and Snakes model

    Science.gov (United States)

    Cai, Yuanxue; Ming, Chengguo; Qin, Yueting

    A new skeleton line extraction method based on topology and flux is proposed by analyzing the distribution characteristics of the gradient vector field in the Snakes model. The distribution characteristics of the skeleton line are accurately obtained by calculating the eigenvalues of the critical points and the flux of the gradient vector field. Then the skeleton lines can be effectively extracted. The results also show that there is no need for the pretreatment or binarization of the target image. The skeleton lines of complex gray images such as optical interference patterns can be effectively extracted by using this method. Compared to traditional methods, this method has many advantages, such as high extraction accuracy and fast processing speed.

  3. Lipid-Based Liquid Crystalline Nanoparticles Facilitate Cytosolic Delivery of siRNA via Structural Transformation.

    Science.gov (United States)

    He, Shufang; Fan, Weiwei; Wu, Na; Zhu, Jingjing; Miao, Yunqiu; Miao, Xiaran; Li, Feifei; Zhang, Xinxin; Gan, Yong

    2018-04-11

    RNA interference (RNAi) technology has shown great promise for the treatment of cancer and other genetic disorders. Despite the efforts to increase the target tissue distribution, the safe and effective delivery of siRNA to the diseased cells with sufficient cytosolic transport is another critical factor for successful RNAi clinical application. Here, the constructed lipid-based liquid crystalline nanoparticles, called nano-Transformers, can transform thestructure in the intracellular acidic environment and perform high-efficient siRNA delivery for cancer treatment. The developed nano-Transformers have satisfactory siRNA loading efficiency and low cytotoxicity. Different from the traditional cationic nanocarriers, the endosomal membrane fusion induced by the conformational transition of lipids contributes to the easy dissociation of siRNA from nanocarriers and direct release of free siRNA into cytoplasm. We show that transfection with cyclin-dependent kinase 1 (CDK1)-siRNA-loaded nano-Transformers causes up to 95% reduction of relevant mRNA in vitro and greatly inhibits the tumor growth without causing any immunogenic response in vivo. This work highlights that the lipid-based nano-Transformers may become the next generation of siRNA delivery system with higher efficacy and improved safety profiles.

  4. Model-based Bayesian signal extraction algorithm for peripheral nerves

    Science.gov (United States)

    Eggers, Thomas E.; Dweiri, Yazan M.; McCallum, Grant A.; Durand, Dominique M.

    2017-10-01

    Objective. Multi-channel cuff electrodes have recently been investigated for extracting fascicular-level motor commands from mixed neural recordings. Such signals could provide volitional, intuitive control over a robotic prosthesis for amputee patients. Recent work has demonstrated success in extracting these signals in acute and chronic preparations using spatial filtering techniques. These extracted signals, however, had low signal-to-noise ratios and thus limited their utility to binary classification. In this work a new algorithm is proposed which combines previous source localization approaches to create a model based method which operates in real time. Approach. To validate this algorithm, a saline benchtop setup was created to allow the precise placement of artificial sources within a cuff and interference sources outside the cuff. The artificial source was taken from five seconds of chronic neural activity to replicate realistic recordings. The proposed algorithm, hybrid Bayesian signal extraction (HBSE), is then compared to previous algorithms, beamforming and a Bayesian spatial filtering method, on this test data. An example chronic neural recording is also analyzed with all three algorithms. Main results. The proposed algorithm improved the signal to noise and signal to interference ratio of extracted test signals two to three fold, as well as increased the correlation coefficient between the original and recovered signals by 10–20%. These improvements translated to the chronic recording example and increased the calculated bit rate between the recovered signals and the recorded motor activity. Significance. HBSE significantly outperforms previous algorithms in extracting realistic neural signals, even in the presence of external noise sources. These results demonstrate the feasibility of extracting dynamic motor signals from a multi-fascicled intact nerve trunk, which in turn could extract motor command signals from an amputee for the end goal of

  5. Determination of Resistant Starch Assimilating Bacteria in Fecal Samples of Mice by In vitro RNA-Based Stable Isotope Probing

    Directory of Open Access Journals (Sweden)

    Elena Herrmann

    2017-07-01

    Full Text Available The impact of the intestinal microbiota on human health is becoming increasingly appreciated in recent years. In consequence, and fueled by major technological advances, the composition of the intestinal microbiota in health and disease has been intensively studied by high throughput sequencing approaches. Observations linking dysbiosis of the intestinal microbiota with a number of serious medical conditions including chronic inflammatory disorders and allergic diseases suggest that restoration of the composition and activity of the intestinal microbiota may be a treatment option at least for some of these diseases. One possibility to shape the intestinal microbiota is the administration of prebiotic carbohydrates such as resistant starch (RS. In the present study, we aim at establishing RNA-based stable isotope probing (RNA-SIP to identify bacterial populations that are involved in the assimilation of RS using anaerobic in vitro fermentation of murine fecal material with stable [U13C] isotope-labeled potato starch. Total RNA from these incubations was extracted, processed by gradient ultracentrifugation and fractionated by density. 16S rRNA gene sequences were amplified from reverse transcribed RNA of high and low density fractions suspected to contain labeled and unlabeled RNA, respectively. Phylogenetic analysis of the obtained sequences revealed a distinct subset of the intestinal microbiota involved in starch metabolism. The results suggest Bacteroidetes, in particular genera affiliated with Prevotellaceae, as well as members of the Ruminococcacea family to be primary assimilators of resistant starch due to a significantly higher relative abundance in higher density fractions in RNA samples isolated after 2 h of incubation. Using high performance liquid chromatography coupled to isotope ratio mass spectrometry (HPLC-IRMS analysis, some stable isotope label was recovered from acetate, propionate and butyrate. Here, we demonstrate the

  6. Clinical performance of the new Roche COBAS TaqMan HCV Test and High Pure System for extraction, detection and quantitation of HCV RNA in plasma and serum

    NARCIS (Netherlands)

    Gelderblom, Huub C.; Menting, Sandra; Beld, Marcel G.

    2006-01-01

    We evaluated the Roche COBAS TaqMan HCV Test For Use With The High Pure System (TaqMan HPS; Roche Diagnostics), for the extraction, detection and quantitation of hepatitis C virus (HCV) RNA in serum or plasma of HCV-infected individuals. The TaqMan HPS is a real-time PCR assay with a reported linear

  7. Evolutionary Algorithm for RNA Secondary Structure Prediction Based on Simulated SHAPE Data.

    Science.gov (United States)

    Montaseri, Soheila; Ganjtabesh, Mohammad; Zare-Mirakabad, Fatemeh

    2016-01-01

    Non-coding RNAs perform a wide range of functions inside the living cells that are related to their structures. Several algorithms have been proposed to predict RNA secondary structure based on minimum free energy. Low prediction accuracy of these algorithms indicates that free energy alone is not sufficient to predict the functional secondary structure. Recently, the obtained information from the SHAPE experiment greatly improves the accuracy of RNA secondary structure prediction by adding this information to the thermodynamic free energy as pseudo-free energy. In this paper, a new method is proposed to predict RNA secondary structure based on both free energy and SHAPE pseudo-free energy. For each RNA sequence, a population of secondary structures is constructed and their SHAPE data are simulated. Then, an evolutionary algorithm is used to improve each structure based on both free and pseudo-free energies. Finally, a structure with minimum summation of free and pseudo-free energies is considered as the predicted RNA secondary structure. Computationally simulating the SHAPE data for a given RNA sequence requires its secondary structure. Here, we overcome this limitation by employing a population of secondary structures. This helps us to simulate the SHAPE data for any RNA sequence and consequently improves the accuracy of RNA secondary structure prediction as it is confirmed by our experiments. The source code and web server of our proposed method are freely available at http://mostafa.ut.ac.ir/ESD-Fold/.

  8. Analytic and Diagnostic Performances of Human Papillomavirus E6/E7 mRNA Test on up-to 11-Year-Old Liquid-Based Cervical Samples. A Biobank-Based Longitudinal Study.

    Science.gov (United States)

    Zappacosta, Roberta; Sablone, Francesca; Pansa, Lucia; Buca, Davide; Buca, Danilo; Rosini, Sandra

    2017-07-11

    Human Papillomavirus (HPV) E6/E7 mRNA test demonstrated high specificity in detecting HPV infections, but studies assessing its efficacy in terms of cancer risk stratification are lacking. Follow-up studies are arduous and expensive. Biobank would be the answer to the problem, although data investigating the effects of long-term storage on RNA preservation are still needed. We addressed these issues by retrieving 202 residual liquid-based cervical specimens, collected from 149 women attending cervical cancer screening during the years 2001-2012. Samples were stored in Adriatic Biobank at room temperature and without any handing. After calculation of RNA yield and purity, E6/E7 mRNA test was retrospectively performed on each samples, to assess analytic and diagnostic performances. Using automated extraction procedures, RNA of good quantity and quality was obtained. The mean value of RNA concentration was 27.5 ng/μL. The mean A260/A280 ratio was 2.1. An invalid mRNA test result was found in 11.9% of the specimens. Neither RNA integrity, nor analytic performances of mRNA test were influenced by the year of sample collection. In total, 62.4% of the specimens tested as mRNA positive; among these, 89.2% were CIN2+. E6/E7 mRNA was detected in all Squamous Cervical Cancer (SCC) cases. Percentage of positive samples increased with the severity of histological diagnosis. mRNA testing, showing specificity and predictive values of 75.6% and 84.4%, respectively, significantly improved the corresponding values for DNA testing. Thus, the reflex mRNA test was demonstrated to be suitable to triage women with persistent cervical lesions. A "one sample for all" approach is possible, with practical benefits for Biobank-based long-term longitudinal studies, diseases prevention, prediction, diagnosis and treatment.

  9. Analytic and Diagnostic Performances of Human Papillomavirus E6/E7 mRNA Test on up-to 11-Year-Old Liquid-Based Cervical Samples. A Biobank-Based Longitudinal Study

    Directory of Open Access Journals (Sweden)

    Roberta Zappacosta

    2017-07-01

    Full Text Available Human Papillomavirus (HPV E6/E7 mRNA test demonstrated high specificity in detecting HPV infections, but studies assessing its efficacy in terms of cancer risk stratification are lacking. Follow-up studies are arduous and expensive. Biobank would be the answer to the problem, although data investigating the effects of long-term storage on RNA preservation are still needed. We addressed these issues by retrieving 202 residual liquid-based cervical specimens, collected from 149 women attending cervical cancer screening during the years 2001–2012. Samples were stored in Adriatic Biobank at room temperature and without any handing. After calculation of RNA yield and purity, E6/E7 mRNA test was retrospectively performed on each samples, to assess analytic and diagnostic performances. Using automated extraction procedures, RNA of good quantity and quality was obtained. The mean value of RNA concentration was 27.5 ng/μL. The mean A260/A280 ratio was 2.1. An invalid mRNA test result was found in 11.9% of the specimens. Neither RNA integrity, nor analytic performances of mRNA test were influenced by the year of sample collection. In total, 62.4% of the specimens tested as mRNA positive; among these, 89.2% were CIN2+. E6/E7 mRNA was detected in all Squamous Cervical Cancer (SCC cases. Percentage of positive samples increased with the severity of histological diagnosis. mRNA testing, showing specificity and predictive values of 75.6% and 84.4%, respectively, significantly improved the corresponding values for DNA testing. Thus, the reflex mRNA test was demonstrated to be suitable to triage women with persistent cervical lesions. A “one sample for all” approach is possible, with practical benefits for Biobank-based long-term longitudinal studies, diseases prevention, prediction, diagnosis and treatment.

  10. Smart Inulin-Based Polycationic Nanodevices for siRNA Delivery.

    Science.gov (United States)

    Cavallaro, G; Sardo, C; Scialabba, C; Licciardi, M; Giammona, G

    2017-01-01

    The advances of short interfering RNA (siRNA) mediated therapy provide a powerful option for the treatment of many diseases by silencing the expression of targeted genes including cancer development and progression. Inulin is a very simple and biocompatible polysaccharide proposed by our groups to produce interesting delivery systems for Nucleic Acid Based Drugs (NABDs), such as siRNA, either as polycations able to give polyplexes and polymeric coatings for nanosystems having a metallic core. In this research field, different functionalizing groups were linked to the inulin backbone with specific aims including oligoamine such as Ethylendiammine (EDA), Diethylediamine (DETA), Spermine, (SPM) etc. In this contribution the main Inulin-based nanodevices for the delivery of siRNA have been reported, analysed and compared with particular reference to their chemical design and structure, biocompatibility, siRNA complexing ability, silencing ability. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.

  11. Transcriptome walking: a laboratory-oriented GUI-based approach to mRNA identification from deep-sequenced data.

    Science.gov (United States)

    French, Andrew S

    2012-12-05

    Deep sequencing technology provides efficient and economical production of large numbers of randomly positioned, relatively short, estimates of base identities in DNA molecules. Application of this technology to mRNA samples allows rapid examination of the molecular genetic environment in individual cells or tissues, the transcriptome. However, assembly of such short sequences into complete mRNA creates a challenge that limits the usefulness of the technology, particularly when no, or limited, genomic data is available. Several approaches to this problem have been developed, but there is still no general method to rapidly obtain an mRNA sequence from deep sequence data when a specific molecule, or family of molecules, are of interest. A frequent requirement is to identify specific mRNA molecules from tissues that are being investigated by methods such as electrophysiology, immunocytology and pharmacology. To be widely useful, any approach must be relatively simple to use in the laboratory by operators without extensive statistical or bioinformatics knowledge, and with readily available hardware. An approach was developed that allows de novo assembly of individual mRNA sequences in two linked stages: sequence discovery and sequence completion. Both stages rely on computer assisted, Graphical User Interface (GUI)-guided, user interaction with the data, but proceed relatively efficiently once discovery is complete. The method grows a discovered sequence by repeated passes through the complete raw data in a series of steps, and is hence termed 'transcriptome walking'. All of the operations required for transcriptome analysis are combined in one program that presents a relatively simple user interface and runs on a standard desktop, or laptop computer, but takes advantage of multi-core processors, when available. Complete mRNA sequence identifications usually require less than 24 hours. This approach has already identified previously unknown mRNA sequences in two animal

  12. Effect of cellulose-based fibers extracted from pineapple (Ananas ...

    African Journals Online (AJOL)

    New polyurethane foams were fabricated utilizing cellulose-based fibers extracted from pineapple (Ananas comosus) leaf as raw material. The pineapple leaf fibers (PALF) were treated with alkali and subsequently bleached to enhance its fiber-matrix adhesion. Polyurethane composites have been prepared by ...

  13. LncNetP, a systematical lncRNA prioritization approach based on ceRNA and disease phenotype association assumptions.

    Science.gov (United States)

    Xu, Chaohan; Ping, Yanyan; Zhao, Hongying; Ning, Shangwei; Xia, Peng; Wang, Weida; Wan, Linyun; Li, Jie; Zhang, Li; Yu, Lei; Xiao, Yun

    2017-12-29

    Our knowledge of lncRNA is very limited and discovering novel disease-related long non-coding RNA (lncRNA) has been a major research challenge in cancer studies. In this work, we developed an LncRNA Network-based Prioritization approach, named "LncNetP" based on the competing endogenous RNA (ceRNA) and disease phenotype association assumptions. Through application to 11 cancer types with 3089 common lncRNA and miRNA samples from the Cancer Genome Atlas (TCGA), our approach yielded an average area under the ROC curve (AUC) of 83.87%, with the highest AUC (95.22%) for renal cell carcinoma, by the leave-one-out cross validation strategy. Moreover, we demonstrated the excellent performance of our approach by evaluating the influencing factors including disease phenotype associations, known disease lncRNAs and the numbers of cancer types. Comparisons with previous methods further suggested the integrative importance of our approach. Taking hepatocellular carcinoma (LIHC) as a case study, we predicted four candidate lncRNA genes, RHPN1-AS1, AC007389.1, LINC01116 and BMS1P20 that may serve as novel disease risk factors for disease diagnosis and prognosis. In summary, our lncRNA prioritization strategy can efficiently identify disease-related lncRNAs and help researchers better understand the important roles of lncRNAs in human cancers.

  14. MicroRNA Expression Analysis Using Small RNA Sequencing Discovery and RT-qPCR-Based Validation.

    Science.gov (United States)

    Van Goethem, Alan; Mestdagh, Pieter; Van Maerken, Tom; Vandesompele, Jo

    2017-01-01

    miRNAs are small noncoding RNA molecules that function as regulators of gene expression. Deregulated miRNA expression has been reported in various diseases including cancer. Due to their small size and high degree of homology, accurate quantification of miRNA expression is technically challenging. In this chapter, we present two different technologies for miRNA quantification: small RNA sequencing and RT-qPCR.

  15. Comparison of DNA-, PMA-, and RNA-based 16S rRNA Illumina sequencing for detection of live bacteria in water.

    Science.gov (United States)

    Li, Ru; Tun, Hein Min; Jahan, Musarrat; Zhang, Zhengxiao; Kumar, Ayush; Fernando, Dilantha; Farenhorst, Annemieke; Khafipour, Ehsan

    2017-07-18

    The limitation of 16S rRNA gene sequencing (DNA-based) for microbial community analyses in water is the inability to differentiate live (dormant cells as well as growing or non-growing metabolically active cells) and dead cells, which can lead to false positive results in the absence of live microbes. Propidium-monoazide (PMA) has been used to selectively remove DNA from dead cells during downstream sequencing process. In comparison, 16S rRNA sequencing (RNA-based) can target live microbial cells in water as both dormant and metabolically active cells produce rRNA. The objective of this study was to compare the efficiency and sensitivity of DNA-based, PMA-based and RNA-based 16S rRNA Illumina sequencing methodologies for live bacteria detection in water samples experimentally spiked with different combination of bacteria (2 gram-negative and 2 gram-positive/acid fast species either all live, all dead, or combinations of live and dead species) or obtained from different sources (First Nation community drinking water; city of Winnipeg tap water; water from Red River, Manitoba, Canada). The RNA-based method, while was superior for detection of live bacterial cells still identified a number of 16S rRNA targets in samples spiked with dead cells. In environmental water samples, the DNA- and PMA-based approaches perhaps overestimated the richness of microbial community compared to RNA-based method. Our results suggest that the RNA-based sequencing was superior to DNA- and PMA-based methods in detecting live bacterial cells in water.

  16. MicroRNA-based Regulation of Picornavirus Tropism.

    Science.gov (United States)

    Ruiz, Autumn J; Russell, Stephen J

    2017-02-06

    Cell-specific restriction of viral replication without concomitant attenuation can benefit vaccine development, gene therapy, oncolytic virotherapy, and understanding the biological properties of viruses. There are several mechanisms for regulating viral tropism, however they tend to be virus class specific and many result in virus attenuation. Additionally, many viruses, including picornaviruses, exhibit size constraints that do not allow for incorporation of large amounts of foreign genetic material required for some targeting methods. MicroRNAs are short, non-coding RNAs that regulate gene expression in eukaryotic cells by binding complementary target sequences in messenger RNAs, preventing their translation or accelerating their degradation. Different cells exhibit distinct microRNA signatures and many microRNAs serve as biomarkers. These differential expression patterns can be exploited for restricting gene expression in cells that express specific microRNAs while maintaining expression in cells that do not. In regards to regulating viral tropism, sequences complementary to specific microRNAs are incorporated into the viral genome, generally in the 3' non-coding regions, targeting them for destruction in the presence of the cognate microRNAs thus preventing viral gene expression and/or replication. MicroRNA-targeting is a technique that theoretically can be applied to all viral vectors without altering the potency of the virus in the absence of the corresponding microRNAs. Here we describe experimental methods associated with generating a microRNA-targeted picornavirus and evaluating the efficacy and specificity of that targeting in vitro. This protocol is designed for a rapidly replicating virus with a lytic replication cycle, however, modification of the time points analyzed and the specific virus titration readouts used will aid in the adaptation of this protocol to many different viruses.

  17. Nanotechnologies in delivery of mRNA therapeutics using nonviral vector-based delivery systems.

    Science.gov (United States)

    Guan, S; Rosenecker, J

    2017-03-01

    Because of its safe and effective protein expression profile, in vitro transcribed messenger RNA (IVT-mRNA) represents a promising candidate in the development of novel therapeutics for genetic diseases, vaccines or gene editing strategies, especially when its inherent shortcomings (for example, instability and immunogenicity) have been partially addressed via structural modifications. However, numerous unsolved technical difficulties in successful in vivo delivery of IVT-mRNA have greatly hindered the applications of IVT-mRNA in clinical development. Recent advances in nanotechnology and material science have yielded many promising nonviral delivery systems, some of which were able to efficiently facilitate targeted in vivo delivery of IVT-mRNA in safe and noninvasive manners. The diversity and flexibility of these delivery systems highlight the recent progress of IVT-mRNA-based therapy using nonviral vectors. In this review, we summarize recent advances of existing and emerging nonviral vector-based nanotechnologies for IVT-mRNA delivery and briefly summarize the interesting but rarely discussed applications on simultaneous delivery of IVT-mRNA with DNA.

  18. JNSViewer-A JavaScript-based Nucleotide Sequence Viewer for DNA/RNA secondary structures.

    Directory of Open Access Journals (Sweden)

    Jieming Shi

    Full Text Available Many tools are available for visualizing RNA or DNA secondary structures, but there is scarce implementation in JavaScript that provides seamless integration with the increasingly popular web computational platforms. We have developed JNSViewer, a highly interactive web service, which is bundled with several popular tools for DNA/RNA secondary structure prediction and can provide precise and interactive correspondence among nucleotides, dot-bracket data, secondary structure graphs, and genic annotations. In JNSViewer, users can perform RNA secondary structure predictions with different programs and settings, add customized genic annotations in GFF format to structure graphs, search for specific linear motifs, and extract relevant structure graphs of sub-sequences. JNSViewer also allows users to choose a transcript or specific segment of Arabidopsis thaliana genome sequences and predict the corresponding secondary structure. Popular genome browsers (i.e., JBrowse and BrowserGenome were integrated into JNSViewer to provide powerful visualizations of chromosomal locations, genic annotations, and secondary structures. In addition, we used StructureFold with default settings to predict some RNA structures for Arabidopsis by incorporating in vivo high-throughput RNA structure profiling data and stored the results in our web server, which might be a useful resource for RNA secondary structure studies in plants. JNSViewer is available at http://bioinfolab.miamioh.edu/jnsviewer/index.html.

  19. JNSViewer-A JavaScript-based Nucleotide Sequence Viewer for DNA/RNA secondary structures.

    Science.gov (United States)

    Shi, Jieming; Li, Xi; Dong, Min; Graham, Mitchell; Yadav, Nehul; Liang, Chun

    2017-01-01

    Many tools are available for visualizing RNA or DNA secondary structures, but there is scarce implementation in JavaScript that provides seamless integration with the increasingly popular web computational platforms. We have developed JNSViewer, a highly interactive web service, which is bundled with several popular tools for DNA/RNA secondary structure prediction and can provide precise and interactive correspondence among nucleotides, dot-bracket data, secondary structure graphs, and genic annotations. In JNSViewer, users can perform RNA secondary structure predictions with different programs and settings, add customized genic annotations in GFF format to structure graphs, search for specific linear motifs, and extract relevant structure graphs of sub-sequences. JNSViewer also allows users to choose a transcript or specific segment of Arabidopsis thaliana genome sequences and predict the corresponding secondary structure. Popular genome browsers (i.e., JBrowse and BrowserGenome) were integrated into JNSViewer to provide powerful visualizations of chromosomal locations, genic annotations, and secondary structures. In addition, we used StructureFold with default settings to predict some RNA structures for Arabidopsis by incorporating in vivo high-throughput RNA structure profiling data and stored the results in our web server, which might be a useful resource for RNA secondary structure studies in plants. JNSViewer is available at http://bioinfolab.miamioh.edu/jnsviewer/index.html.

  20. JNSViewer—A JavaScript-based Nucleotide Sequence Viewer for DNA/RNA secondary structures

    Science.gov (United States)

    Dong, Min; Graham, Mitchell; Yadav, Nehul

    2017-01-01

    Many tools are available for visualizing RNA or DNA secondary structures, but there is scarce implementation in JavaScript that provides seamless integration with the increasingly popular web computational platforms. We have developed JNSViewer, a highly interactive web service, which is bundled with several popular tools for DNA/RNA secondary structure prediction and can provide precise and interactive correspondence among nucleotides, dot-bracket data, secondary structure graphs, and genic annotations. In JNSViewer, users can perform RNA secondary structure predictions with different programs and settings, add customized genic annotations in GFF format to structure graphs, search for specific linear motifs, and extract relevant structure graphs of sub-sequences. JNSViewer also allows users to choose a transcript or specific segment of Arabidopsis thaliana genome sequences and predict the corresponding secondary structure. Popular genome browsers (i.e., JBrowse and BrowserGenome) were integrated into JNSViewer to provide powerful visualizations of chromosomal locations, genic annotations, and secondary structures. In addition, we used StructureFold with default settings to predict some RNA structures for Arabidopsis by incorporating in vivo high-throughput RNA structure profiling data and stored the results in our web server, which might be a useful resource for RNA secondary structure studies in plants. JNSViewer is available at http://bioinfolab.miamioh.edu/jnsviewer/index.html. PMID:28582416

  1. A need for standardization in drinking water analysis – an investigation of DNA extraction procedure, primer choice and detection limit of 16S rRNA amplicon sequencing

    DEFF Research Database (Denmark)

    Brandt, Jakob; Nielsen, Per Halkjær; Albertsen, Mads

    have been made to illuminate the effects specifically related to bacterial communities in drinking water. In this study, we investigated the impact of the DNA extraction and primer choice on the observed community structure, and we also estimated the detection limit of the 16S rRNA amplicon sequencing....... The PowerWater DNA Isolation Kit resulted in significantly higher amounts of isolated DNA compared to the FastDNA SPIN Kit for Soil. Furthermore, extraction with the PowerWater kit lead to detection of a significantly higher number of OTUs. Likewise, the primer experiment revealed great discrepancies in OTU....... coli could be detected in all samples. However, samples with 101 cells/mL had several contaminating OTUs, constituting approximately 8% of the read abundances. For 16S rRNA gene analysis in drinking water samples, we recommend using the PowerWater DNA Isolation Kit for DNA extraction in combination...

  2. New Kids on the Block: RNA-Based Influenza Virus Vaccines.

    Science.gov (United States)

    Scorza, Francesco Berlanda; Pardi, Norbert

    2018-04-01

    RNA-based immunization strategies have emerged as promising alternatives to conventional vaccine approaches. A substantial body of published work demonstrates that RNA vaccines can elicit potent, protective immune responses against various pathogens. Consonant with its huge impact on public health, influenza virus is one of the best studied targets of RNA vaccine research. Currently licensed influenza vaccines show variable levels of protection against seasonal influenza virus strains but are inadequate against drifted and pandemic viruses. In recent years, several types of RNA vaccines demonstrated efficacy against influenza virus infections in preclinical models. Additionally, comparative studies demonstrated the superiority of some RNA vaccines over the currently used inactivated influenza virus vaccines in animal models. Based on these promising preclinical results, clinical trials have been initiated and should provide valuable information about the translatability of the impressive preclinical data to humans. This review briefly describes RNA-based vaccination strategies, summarizes published preclinical and clinical data, highlights the roadblocks that need to be overcome for clinical applications, discusses the landscape of industrial development, and shares the authors' personal perspectives about the future of RNA-based influenza virus vaccines.

  3. Non-Watson Crick base pairs might stabilize RNA structural motifs in ...

    Indian Academy of Sciences (India)

    Watson Crick base pairs, internal loops and pseudoknots have been the highlighting feature of recent structural determination of RNAs. The recent crystal structure of group-I introns has demonstrated that these might constitute RNA structural ...

  4. Solvent extraction of gold using ionic liquid based process

    Science.gov (United States)

    Makertihartha, I. G. B. N.; Zunita, Megawati; Rizki, Z.; Dharmawijaya, P. T.

    2017-01-01

    In decades, many research and mineral processing industries are using solvent extraction technology for metal ions separation. Solvent extraction technique has been used for the purification of precious metals such as Au and Pd, and base metals such as Cu, Zn and Cd. This process uses organic compounds as solvent. Organic solvents have some undesired properties i.e. toxic, volatile, excessive used, flammable, difficult to recycle, low reusability, low Au recovery, together with the problems related to the disposal of spent extractants and diluents, even the costs associated with these processes are relatively expensive. Therefore, a lot of research have boosted into the development of safe and environmentally friendly process for Au separation. Ionic liquids (ILs) are the potential alternative for gold extraction because they possess several desirable properties, such as a the ability to expanse temperature process up to 300°C, good solvent properties for a wide range of metal ions, high selectivity, low vapor pressures, stability up to 200°C, easy preparation, environmentally friendly (commonly called as "green solvent"), and relatively low cost. This review paper is focused in investigate of some ILs that have the potentials as solvent in extraction of Au from mineral/metal alloy at various conditions (pH, temperature, and pressure). Performances of ILs extraction of Au are studied in depth, i.e. structural relationship of ILs with capability to separate Au from metal ions aggregate. Optimal extraction conditon in order to gain high percent of Au in mineral processing is also investigated.

  5. Nonreciprocal Pseudotyping: Murine Leukemia Virus Proteins Cannot Efficiently Package Spleen Necrosis Virus-Based Vector RNA

    OpenAIRE

    Certo, Jeanine L.; Shook, Betsy F.; Yin, Philip D.; Snider, John T.; Hu, Wei-Shau

    1998-01-01

    It has been documented that spleen necrosis virus (SNV) can package murine leukemia virus (MLV) RNA efficiently and propagate MLV vectors to the same titers as it propagates SNV-based vectors. Although the SNV packaging signal (E) and MLV packaging signal (Ψ) have little sequence homology, similar double-hairpin RNA structures were predicted and supported by experimental evidence. To test whether SNV RNA can be packaged by MLV proteins, we modified an SNV vector to be expressed in an MLV-base...

  6. Tool Wear Feature Extraction Based on Hilbert Marginal Spectrum

    Science.gov (United States)

    Guan, Shan; Song, Weijie; Pang, Hongyang

    2017-09-01

    In the metal cutting process, the signal contains a wealth of tool wear state information. A tool wear signal’s analysis and feature extraction method based on Hilbert marginal spectrum is proposed. Firstly, the tool wear signal was decomposed by empirical mode decomposition algorithm and the intrinsic mode functions including the main information were screened out by the correlation coefficient and the variance contribution rate. Secondly, Hilbert transform was performed on the main intrinsic mode functions. Hilbert time-frequency spectrum and Hilbert marginal spectrum were obtained by Hilbert transform. Finally, Amplitude domain indexes were extracted on the basis of the Hilbert marginal spectrum and they structured recognition feature vector of tool wear state. The research results show that the extracted features can effectively characterize the different wear state of the tool, which provides a basis for monitoring tool wear condition.

  7. Distributed Parallel Endmember Extraction of Hyperspectral Data Based on Spark

    Directory of Open Access Journals (Sweden)

    Zebin Wu

    2016-01-01

    Full Text Available Due to the increasing dimensionality and volume of remotely sensed hyperspectral data, the development of acceleration techniques for massive hyperspectral image analysis approaches is a very important challenge. Cloud computing offers many possibilities of distributed processing of hyperspectral datasets. This paper proposes a novel distributed parallel endmember extraction method based on iterative error analysis that utilizes cloud computing principles to efficiently process massive hyperspectral data. The proposed method takes advantage of technologies including MapReduce programming model, Hadoop Distributed File System (HDFS, and Apache Spark to realize distributed parallel implementation for hyperspectral endmember extraction, which significantly accelerates the computation of hyperspectral processing and provides high throughput access to large hyperspectral data. The experimental results, which are obtained by extracting endmembers of hyperspectral datasets on a cloud computing platform built on a cluster, demonstrate the effectiveness and computational efficiency of the proposed method.

  8. Building Contour Extraction Based on LiDAR Point Cloud

    Directory of Open Access Journals (Sweden)

    Zhang Xu-Qing

    2017-01-01

    Full Text Available This paper presents a new method for solving the problem of utilizing the LiDAR data to extract the building contour line. For detection of the edge points between the building test points by using the least squares fitting to get the edge line of buildings and give the weight determining of the building of edge line slope depend on the length of the edge line. And then get the weighted mean of the positive and negative slope of the building edge line. Based on the structure of the adjacent edge perpendicular hypothesis, regularization processing to extract the edge of the skeleton line perpendicular. The experiments show that the extracted building edges have the good accuracy and have the good applicability in complex urban areas.

  9. An optimised method for the extraction of bacterial mRNA from plant roots infected with Escherichia coli O157:H7

    Directory of Open Access Journals (Sweden)

    Ashleigh eHolmes

    2014-06-01

    Full Text Available Analysis of microbial gene expression during host colonisation provides valuable information on the nature of interaction, beneficial or pathogenic, and the adaptive processes involved. Isolation of bacterial mRNA for in planta analysis can be challenging where host nucleic acid may dominate the preparation, or inhibitory compounds affect downstream analysis, e.g. qPCR, microarray or RNA-seq. The goal of this work was to optimise the isolation of bacterial mRNA of food-borne pathogens from living plants. Reported methods for recovery of phytopathogen-infected plant material, using hot phenol extraction and high concentration of bacterial inoculation or large amounts of infected tissues, were found to be inappropriate for plant roots inoculated with Escherichia coli O157:H7. The bacterial RNA yields were too low and increased plant material resulted in a dominance of plant RNA in the sample. To improve the yield of bacterial RNA and reduce the number of plants required, an optimised method was developed which combines bead beating with directed bacterial lysis using SDS and lysozyme. Inhibitory plant compounds, such as phenolics and polysaccharides, were counteracted with the addition of HMW-PEG and CTAB. The new method increased the total yield of bacterial mRNA substantially and allowed assessment of gene expression by qPCR. This method can be applied to other bacterial species associated with plant roots, and also in the wider context of food safety.

  10. The Effect of Formaldehyde Fixation on RNA

    Science.gov (United States)

    Evers, David L.; Fowler, Carol B.; Cunningham, Brady R.; Mason, Jeffrey T.; O'Leary, Timothy J.

    2011-01-01

    Formalin-fixed, paraffin-embedded tissues generally provide low yields of extractable RNA that exhibit both covalent modification of nucleic acid bases and strand cleavage. This frustrates efforts to perform retrospective analyses of gene expression using archival tissue specimens. A variety of conditions have been reported to demodify formaldehyde-fixed RNA in different model systems. We studied the reversal of formaldehyde fixation of RNA using a 50 base RNA oligonucleotide and total cellular RNA. Formaldehyde-adducted, native, and hydrolyzed RNA species were identified by their bioanalyzer electrophoretic migration patterns and RT–quantitative PCR. Demodification conditions included temperature, time, buffer, and pH. The reversal of formaldehyde-fixed RNA to native species without apparent RNA hydrolysis was most successfully performed in dilute Tris, phosphate, or similar buffers (pH 8) at 70°C for 30 minutes. Amines were not required for efficient formaldehyde demodification. Formaldehyde-fixed RNA was more labile than native RNA to treatment with heat and buffer, suggesting that antigen retrieval methods for proteins may impede RNA hybridization or RNA extraction. Taken together, the data indicate that reliable conditions may be used to remove formaldehyde adducts from RNA to improve the quality of RNA available for molecular studies. PMID:21497290

  11. Feature extraction algorithm for space targets based on fractal theory

    Science.gov (United States)

    Tian, Balin; Yuan, Jianping; Yue, Xiaokui; Ning, Xin

    2007-11-01

    In order to offer a potential for extending the life of satellites and reducing the launch and operating costs, satellite servicing including conducting repairs, upgrading and refueling spacecraft on-orbit become much more frequently. Future space operations can be more economically and reliably executed using machine vision systems, which can meet real time and tracking reliability requirements for image tracking of space surveillance system. Machine vision was applied to the research of relative pose for spacecrafts, the feature extraction algorithm was the basis of relative pose. In this paper fractal geometry based edge extraction algorithm which can be used in determining and tracking the relative pose of an observed satellite during proximity operations in machine vision system was presented. The method gets the gray-level image distributed by fractal dimension used the Differential Box-Counting (DBC) approach of the fractal theory to restrain the noise. After this, we detect the consecutive edge using Mathematical Morphology. The validity of the proposed method is examined by processing and analyzing images of space targets. The edge extraction method not only extracts the outline of the target, but also keeps the inner details. Meanwhile, edge extraction is only processed in moving area to reduce computation greatly. Simulation results compared edge detection using the method which presented by us with other detection methods. The results indicate that the presented algorithm is a valid method to solve the problems of relative pose for spacecrafts.

  12. RNACompress: Grammar-based compression and informational complexity measurement of RNA secondary structure

    Directory of Open Access Journals (Sweden)

    Chen Chun

    2008-03-01

    Full Text Available Abstract Background With the rapid emergence of RNA databases and newly identified non-coding RNAs, an efficient compression algorithm for RNA sequence and structural information is needed for the storage and analysis of such data. Although several algorithms for compressing DNA sequences have been proposed, none of them are suitable for the compression of RNA sequences with their secondary structures simultaneously. This kind of compression not only facilitates the maintenance of RNA data, but also supplies a novel way to measure the informational complexity of RNA structural data, raising the possibility of studying the relationship between the functional activities of RNA structures and their complexities, as well as various structural properties of RNA based on compression. Results RNACompress employs an efficient grammar-based model to compress RNA sequences and their secondary structures. The main goals of this algorithm are two fold: (1 present a robust and effective way for RNA structural data compression; (2 design a suitable model to represent RNA secondary structure as well as derive the informational complexity of the structural data based on compression. Our extensive tests have shown that RNACompress achieves a universally better compression ratio compared with other sequence-specific or common text-specific compression algorithms, such as Gencompress, winrar and gzip. Moreover, a test of the activities of distinct GTP-binding RNAs (aptamers compared with their structural complexity shows that our defined informational complexity can be used to describe how complexity varies with activity. These results lead to an objective means of comparing the functional properties of heteropolymers from the information perspective. Conclusion A universal algorithm for the compression of RNA secondary structure as well as the evaluation of its informational complexity is discussed in this paper. We have developed RNACompress, as a useful tool

  13. RNACompress: Grammar-based compression and informational complexity measurement of RNA secondary structure.

    Science.gov (United States)

    Liu, Qi; Yang, Yu; Chen, Chun; Bu, Jiajun; Zhang, Yin; Ye, Xiuzi

    2008-03-31

    With the rapid emergence of RNA databases and newly identified non-coding RNAs, an efficient compression algorithm for RNA sequence and structural information is needed for the storage and analysis of such data. Although several algorithms for compressing DNA sequences have been proposed, none of them are suitable for the compression of RNA sequences with their secondary structures simultaneously. This kind of compression not only facilitates the maintenance of RNA data, but also supplies a novel way to measure the informational complexity of RNA structural data, raising the possibility of studying the relationship between the functional activities of RNA structures and their complexities, as well as various structural properties of RNA based on compression. RNACompress employs an efficient grammar-based model to compress RNA sequences and their secondary structures. The main goals of this algorithm are two fold: (1) present a robust and effective way for RNA structural data compression; (2) design a suitable model to represent RNA secondary structure as well as derive the informational complexity of the structural data based on compression. Our extensive tests have shown that RNACompress achieves a universally better compression ratio compared with other sequence-specific or common text-specific compression algorithms, such as Gencompress, winrar and gzip. Moreover, a test of the activities of distinct GTP-binding RNAs (aptamers) compared with their structural complexity shows that our defined informational complexity can be used to describe how complexity varies with activity. These results lead to an objective means of comparing the functional properties of heteropolymers from the information perspective. A universal algorithm for the compression of RNA secondary structure as well as the evaluation of its informational complexity is discussed in this paper. We have developed RNACompress, as a useful tool for academic users. Extensive tests have shown that

  14. RNA secondary structure prediction based on SHAPE data in helix regions.

    Science.gov (United States)

    Lotfi, Mohadeseh; Zare-Mirakabad, Fatemeh; Montaseri, Soheila

    2015-09-07

    RNA molecules play important and fundamental roles in biological processes. Frequently, the functional form of single-stranded RNA molecules requires a specific tertiary structure. Classically, RNA structure determination has mostly been accomplished by X-Ray crystallography or Nuclear Magnetic Resonance approaches. These experimental methods are time consuming and expensive. In the past two decades, some computational methods and algorithms have been developed for RNA secondary structure prediction. In these algorithms, minimum free energy is known as the best criterion. However, the results of algorithms show that minimum free energy is not a sufficient criterion to predict RNA secondary structure. These algorithms need some additional knowledge about the structure, which has to be added in the methods. Recently, the information obtained from some experimental data, called SHAPE, can greatly improve the consistency between the native and predicted RNA secondary structure. In this paper, we investigate the influence of SHAPE data on four types of RNA substructures, helices, loops, base pairs from the start and end of helices and two base pairs from the start and end of helices. The results show that SHAPE data in helix regions can improve the prediction. We represent a new method to apply SHAPE data in helix regions for finding RNA secondary structure. Finally, we compare the results of the method on a set of RNAs to predict minimum free energy structure based on considering all SHAPE data and only SHAPE data in helix regions as pseudo free energy and without SHAPE data (without any pseudo free energy). The results show that RNA secondary structure prediction based on considering only SHAPE data in helix regions is more successful than not considering SHAPE data and it provides competitive results in comparison with considering all SHAPE data. Copyright © 2015 Elsevier Ltd. All rights reserved.

  15. Base pair probability estimates improve the prediction accuracy of RNA non-canonical base pairs.

    Directory of Open Access Journals (Sweden)

    Michael F Sloma

    2017-11-01

    Full Text Available Prediction of RNA tertiary structure from sequence is an important problem, but generating accurate structure models for even short sequences remains difficult. Predictions of RNA tertiary structure tend to be least accurate in loop regions, where non-canonical pairs are important for determining the details of structure. Non-canonical pairs can be predicted using a knowledge-based model of structure that scores nucleotide cyclic motifs, or NCMs. In this work, a partition function algorithm is introduced that allows the estimation of base pairing probabilities for both canonical and non-canonical interactions. Pairs that are predicted to be probable are more likely to be found in the true structure than pairs of lower probability. Pair probability estimates can be further improved by predicting the structure conserved across multiple homologous sequences using the TurboFold algorithm. These pairing probabilities, used in concert with prior knowledge of the canonical secondary structure, allow accurate inference of non-canonical pairs, an important step towards accurate prediction of the full tertiary structure. Software to predict non-canonical base pairs and pairing probabilities is now provided as part of the RNAstructure software package.

  16. Base pair probability estimates improve the prediction accuracy of RNA non-canonical base pairs.

    Science.gov (United States)

    Sloma, Michael F; Mathews, David H

    2017-11-01

    Prediction of RNA tertiary structure from sequence is an important problem, but generating accurate structure models for even short sequences remains difficult. Predictions of RNA tertiary structure tend to be least accurate in loop regions, where non-canonical pairs are important for determining the details of structure. Non-canonical pairs can be predicted using a knowledge-based model of structure that scores nucleotide cyclic motifs, or NCMs. In this work, a partition function algorithm is introduced that allows the estimation of base pairing probabilities for both canonical and non-canonical interactions. Pairs that are predicted to be probable are more likely to be found in the true structure than pairs of lower probability. Pair probability estimates can be further improved by predicting the structure conserved across multiple homologous sequences using the TurboFold algorithm. These pairing probabilities, used in concert with prior knowledge of the canonical secondary structure, allow accurate inference of non-canonical pairs, an important step towards accurate prediction of the full tertiary structure. Software to predict non-canonical base pairs and pairing probabilities is now provided as part of the RNAstructure software package.

  17. Base-pairing versatility determines wobble sites in tRNA anticodons of vertebrate mitogenomes.

    Directory of Open Access Journals (Sweden)

    Miguel M Fonseca

    Full Text Available BACKGROUND: Vertebrate mitochondrial genomes typically have one transfer RNA (tRNA for each synonymous codon family. This limited anticodon repertoire implies that each tRNA anticodon needs to wobble (establish a non-Watson-Crick base pairing between two nucleotides in RNA molecules to recognize one or more synonymous codons. Different hypotheses have been proposed to explain the factors that determine the nucleotide composition of wobble sites in vertebrate mitochondrial tRNA anticodons. Until now, the two major postulates--the "codon-anticodon adaptation hypothesis" and the "wobble versatility hypothesis"--have not been formally tested in vertebrate mitochondria because both make the same predictions regarding the composition of anticodon wobble sites. The same is true for the more recent "wobble cost hypothesis". PRINCIPAL FINDINGS: In this study we have analyzed the occurrence of synonymous codons and tRNA anticodon wobble sites in 1553 complete vertebrate mitochondrial genomes, focusing on three fish species with mtDNA codon usage bias reversal (L-strand is GT-rich. These mitogenomes constitute an excellent opportunity to study the evolution of the wobble nucleotide composition of tRNA anticodons because due to the reversal the predictions for the anticodon wobble sites differ between the existing hypotheses. We observed that none of the wobble sites of tRNA anticodons in these unusual mitochondrial genomes coevolved to match the new overall codon usage bias, suggesting that nucleotides at the wobble sites of tRNA anticodons in vertebrate mitochondrial genomes are determined by wobble versatility. CONCLUSIONS/SIGNIFICANCE: Our results suggest that, at wobble sites of tRNA anticodons in vertebrate mitogenomes, selection favors the most versatile nucleotide in terms of wobble base-pairing stability and that wobble site composition is not influenced by codon usage. These results are in agreement with the "wobble versatility hypothesis".

  18. The ReNAissanCe of mRNA-based cancer therapy.

    Science.gov (United States)

    Van Lint, Sandra; Renmans, Dries; Broos, Katrijn; Dewitte, Heleen; Lentacker, Ine; Heirman, Carlo; Breckpot, Karine; Thielemans, Kris

    2015-02-01

    About 25 years ago, mRNA became a tool of interest in anticancer vaccination approaches. However, due to its rapid degradation in situ, direct application of mRNA was confronted with considerable skepticism during its early use. Consequently, mRNA was for a long time mainly used for the ex vivo transfection of dendritic cells, professional antigen-presenting cells known to stimulate immunity. The interest in direct application of mRNA experienced a revival, as researchers became aware of the many advantages mRNA offers. Today, mRNA is considered to be an ideal vehicle for the induction of strong immune responses against cancer. The growing numbers of preclinical trials and as a consequence the increasing clinical application of mRNA as an off-the-shelf anticancer vaccine signifies a renaissance for transcript-based antitumor therapy. In this review, we highlight this renaissance using a timeline providing all milestones in the application of mRNA for anticancer vaccination.

  19. Ethanolic extract of Ficus carica leave Suppresses Angiogenesis by Regulating VEGF-A and Integrin β3 mRNA Expression in Human umbilical vein endothelial cells.

    Science.gov (United States)

    Ghambarali, Zahra; Bidmeshkipouri, Ali; Akrami, Hassan; Azadbakht, Mehri; Rabzia, Arezo

    2014-01-01

    In the present study, we investigated the anti-angiogenic effects of the ethanol extract of Ficus carica leave on human umbilical vein endothelial cells (HUVECs). HUVECs were used in this study. The cells were cultured in DMEM medium and then incubated with different concentrations of ethanolic extract of Ficus carica leave (0-25 μg\\ml) in the presence or absence of the extract for 24 hours. Cell viability was analyzed using neutral red assay. Endothelial cell tube formation was measured with the Matrigel basement membrane matrix. The level of VEGF and Integrin β3 mRNA expression in the HUVECs was measured with reverse-transcription quantitative real-time polymerase chain reaction (RT-q real time PCR). We observed that the extract dose dependently inhibited the tube formation of HUVECs. Furthermore, the extract significantly decreased mRNA expression levels of VEGF-A and Integrin β3 in HUVECs at 20 μg\\ml concentration of the extract compared to untreated control cells (P Ficus carica leave contains anti-angiogenic activities and could be a candidate as a potential agent for the prevention of angiogenesis related disorders.

  20. Gut Microbiota Analysis Results Are Highly Dependent on the 16S rRNA Gene Target Region, Whereas the Impact of DNA Extraction Is Minor.

    Science.gov (United States)

    Rintala, Anniina; Pietilä, Sami; Munukka, Eveliina; Eerola, Erkki; Pursiheimo, Juha-Pekka; Laiho, Asta; Pekkala, Satu; Huovinen, Pentti

    2017-04-01

    Next-generation sequencing (NGS) is currently the method of choice for analyzing gut microbiota composition. As gut microbiota composition is a potential future target for clinical diagnostics, it is of utmost importance to enhance and optimize the NGS analysis procedures. Here, we have analyzed the impact of DNA extraction and selected 16S rDNA primers on the gut microbiota NGS results. Bacterial DNA from frozen stool specimens was extracted with 5 commercially available DNA extraction kits. Special attention was paid to the semiautomated DNA extraction methods that could expedite the analysis procedure, thus being especially suitable for clinical settings. The microbial composition was analyzed with 2 distinct protocols: 1 targeting the V3-V4 and the other targeting the V4-V5 area of the bacterial 16S rRNA gene. The overall effect of DNA extraction on the gut microbiota 16S rDNA profile was relatively small, whereas the 16S rRNA gene target region had an immense impact on the results. Furthermore, semiautomated DNA extraction methods clearly appeared suitable for NGS procedures, proposing that application of these methods could importantly reduce hands-on time and human errors without compromising the validity of results.

  1. Template based rodent brain extraction and atlas mapping.

    Science.gov (United States)

    Weimin Huang; Jiaqi Zhang; Zhiping Lin; Su Huang; Yuping Duan; Zhongkang Lu

    2016-08-01

    Accurate rodent brain extraction is the basic step for many translational studies using MR imaging. This paper presents a template based approach with multi-expert refinement to automatic rodent brain extraction. We first build the brain appearance model based on the learning exemplars. Together with the template matching, we encode the rodent brain position into the search space to reliably locate the rodent brain and estimate the rough segmentation. With the initial mask, a level-set segmentation and a mask-based template learning are implemented further to the brain region. The multi-expert fusion is used to generate a new mask. We finally combine the region growing based on the histogram distribution learning to delineate the final brain mask. A high-resolution rodent atlas is used to illustrate that the segmented low resolution anatomic image can be well mapped to the atlas. Tested on a public data set, all brains are located reliably and we achieve the mean Jaccard similarity score at 94.99% for brain segmentation, which is a statistically significant improvement compared to two other rodent brain extraction methods.

  2. Mapping Optimal Charge Density and Length of ROMP-Based PTDMs for siRNA Internalization.

    Science.gov (United States)

    Caffrey, Leah M; deRonde, Brittany M; Minter, Lisa M; Tew, Gregory N

    2016-10-10

    A fundamental understanding of how polymer structure impacts internalization and delivery of biologically relevant cargoes, particularly small interfering ribonucleic acid (siRNA), is of critical importance to the successful design of improved delivery reagents. Herein we report the use of ring-opening metathesis polymerization (ROMP) methods to synthesize two series of guanidinium-rich protein transduction domain mimics (PTDMs): one based on an imide scaffold that contains one guanidinium moiety per repeat unit, and another based on a diester scaffold that contains two guanidinium moieties per repeat unit. By varying both the degree of polymerization and, in effect, the relative number of cationic charges in each PTDM, the performances of the two ROMP backbones for siRNA internalization were evaluated and compared. Internalization of fluorescently labeled siRNA into Jurkat T cells demonstrated that fluorescein isothiocyanate (FITC)-siRNA internalization had a charge content dependence, with PTDMs containing approximately 40 to 60 cationic charges facilitating the most internalization. Despite this charge content dependence, the imide scaffold yielded much lower viabilities in Jurkat T cells than the corresponding diester PTDMs with similar numbers of cationic charges, suggesting that the diester scaffold is preferred for siRNA internalization and delivery applications. These developments will not only improve our understanding of the structural factors necessary for optimal siRNA internalization, but will also guide the future development of optimized PTDMs for siRNA internalization and delivery.

  3. Improving accuracy of RNA-based diagnosis and prognosis of oral cancer by using noninvasive methods.

    Science.gov (United States)

    Adami, Guy R; Tang, Jessica L; Markiewicz, Michael R

    2017-06-01

    RNA-based diagnosis and prognosis of squamous cell carcinoma has been slow to come to the clinic. Improvements in RNA measurement, statistical evaluation, and sample preservation, along with increased sample numbers, have not made these methods reproducible enough to be used clinically. We propose that, in the case of squamous cell carcinoma of the oral cavity, a chief source of variability is sample dissection, which leads to variable amounts of stroma mixed in with tumor epithelium. This heterogeneity of the samples, which requires great care to avoid, makes it difficult to see changes in RNA levels specific to tumor cells. An evaluation of the data suggests that, paradoxically, brush biopsy samples of oral lesions may provide a more reproducible method than surgical acquisition of samples for miRNA measurement. The evidence also indicates that body fluid samples can show similar changes in miRNAs with oral squamous cell carcinoma (OSCC) as those seen in tumor brush biopsy samples - suggesting much of the miRNA in these samples is coming from the same source: tumor epithelium. We conclude that brush biopsy or body fluid samples may be superior to surgical samples in allowing miRNA-based diagnosis and prognosis of OSCC in that they feature a rapid method to obtain homogeneous tumor cells and/or RNA. Copyright © 2017 Elsevier Ltd. All rights reserved.

  4. Pixel extraction based integral imaging with controllable viewing direction

    International Nuclear Information System (INIS)

    Ji, Chao-Chao; Deng, Huan; Wang, Qiong-Hua

    2012-01-01

    We propose pixel extraction based integral imaging with a controllable viewing direction. The proposed integral imaging can provide viewers three-dimensional (3D) images in a very small viewing angle. The viewing angle and the viewing direction of the reconstructed 3D images are controlled by the pixels extracted from an elemental image array. Theoretical analysis and a 3D display experiment of the viewing direction controllable integral imaging are carried out. The experimental results verify the correctness of the theory. A 3D display based on the integral imaging can protect the viewer’s privacy and has huge potential for a television to show multiple 3D programs at the same time. (paper)

  5. Csf Based Non-Ground Points Extraction from LIDAR Data

    Science.gov (United States)

    Shen, A.; Zhang, W.; Shi, H.

    2017-09-01

    Region growing is a classical method of point cloud segmentation. Based on the idea of collecting the pixels with similar properties to form regions, region growing is widely used in many fields such as medicine, forestry and remote sensing. In this algorithm, there are two core problems. One is the selection of seed points, the other is the setting of the growth constraints, in which the selection of the seed points is the foundation. In this paper, we propose a CSF (Cloth Simulation Filtering) based method to extract the non-ground seed points effectively. The experiments have shown that this method can obtain a group of seed spots compared with the traditional methods. It is a new attempt to extract seed points

  6. A molecular exploration of human DNA/RNA co-extracted from the palmar surface of the hands and fingers.

    Science.gov (United States)

    Lacerenza, D; Aneli, S; Omedei, M; Gino, S; Pasino, S; Berchialla, P; Robino, C

    2016-05-01

    "Touch DNA" refers to the DNA that is left behind when a person touches or comes into contact with an item. However, the source of touch DNA is still debated and the large variability in DNA yield from casework samples suggests that, besides skin, various body fluids can be transferred through contact. Another important issue concerning touch DNA is the possible occurrence of secondary transfer, but the data published in the literature in relation to the background levels of foreign DNA present on the hand surfaces of the general population are very limited. As the present study aimed at better understanding the nature and characteristics of touch DNA, samples were collected from the palmar surface of the hands and fingers ("PHF" samples) of 30 male and 30 female donors by tape-lifting/swabbing and subjected to DNA/RNA co-extraction. Multiplex mRNA profiling showed that cellular material different from skin could be observed in 15% of the PHF samples. The total amount of DNA recovered from these samples (median 5.1 ng) was significantly higher than that obtained from samples containing skin cells only (median 1.6 ng). The integrity of the DNA isolated from the donors' hands and fingers as well as the prevalence of DNA mixtures were evaluated by STR typing and compared with reference STR profiles from buccal swabs. DNA integrity appeared significantly higher in the male rather than in the female subsample, as the average percentage of the donors' alleles effectively detected in PHF profiles was 75.1% and 60.1%, respectively. The prevalence of mixtures with a foreign DNA contribution ≥20% was 19.2% (30.0% in the female PHF samples and 8.3% in the male PHF samples). The obtained results support the hypothesis that transfer of cellular material different from skin may underlie the occasional recovery of quality STR profiles from handled items. These results also suggest that gender may represent an important factor influencing the propensity of individuals to carry

  7. Biosensor-based microRNA detection: techniques, design, performance, and challenges.

    Science.gov (United States)

    Johnson, Blake N; Mutharasan, Raj

    2014-04-07

    The current state of biosensor-based techniques for amplification-free microRNA (miRNA) detection is critically reviewed. Comparison with non-sensor and amplification-based molecular techniques (MTs), such as polymerase-based methods, is made in terms of transduction mechanism, associated protocol, and sensitivity. Challenges associated with miRNA hybridization thermodynamics which affect assay selectivity and amplification bias are briefly discussed. Electrochemical, electromechanical, and optical classes of miRNA biosensors are reviewed in terms of transduction mechanism, limit of detection (LOD), time-to-results (TTR), multiplexing potential, and measurement robustness. Current trends suggest that biosensor-based techniques (BTs) for miRNA assay will complement MTs due to the advantages of amplification-free detection, LOD being femtomolar (fM)-attomolar (aM), short TTR, multiplexing capability, and minimal sample preparation requirement. Areas of future importance in miRNA BT development are presented which include focus on achieving high measurement confidence and multiplexing capabilities.

  8. A comprehensive comparative review of sequence-based predictors of DNA- and RNA-binding residues.

    Science.gov (United States)

    Yan, Jing; Friedrich, Stefanie; Kurgan, Lukasz

    2016-01-01

    Motivated by the pressing need to characterize protein-DNA and protein-RNA interactions on large scale, we review a comprehensive set of 30 computational methods for high-throughput prediction of RNA- or DNA-binding residues from protein sequences. We summarize these predictors from several significant perspectives including their design, outputs and availability. We perform empirical assessment of methods that offer web servers using a new benchmark data set characterized by a more complete annotation that includes binding residues transferred from the same or similar proteins. We show that predictors of DNA-binding (RNA-binding) residues offer relatively strong predictive performance but they are unable to properly separate DNA- from RNA-binding residues. We design and empirically assess several types of consensuses and demonstrate that machine learning (ML)-based approaches provide improved predictive performance when compared with the individual predictors of DNA-binding residues or RNA-binding residues. We also formulate and execute first-of-its-kind study that targets combined prediction of DNA- and RNA-binding residues. We design and test three types of consensuses for this prediction and conclude that this novel approach that relies on ML design provides better predictive quality than individual predictors when tested on prediction of DNA- and RNA-binding residues individually. It also substantially improves discrimination between these two types of nucleic acids. Our results suggest that development of a new generation of predictors would benefit from using training data sets that combine both RNA- and DNA-binding proteins, designing new inputs that specifically target either DNA- or RNA-binding residues and pursuing combined prediction of DNA- and RNA-binding residues. © The Author 2015. Published by Oxford University Press. For Permissions, please email: journals.permissions@oup.com.

  9. Evaluating a Pivot-Based Approach for Bilingual Lexicon Extraction

    Directory of Open Access Journals (Sweden)

    Jae-Hoon Kim

    2015-01-01

    Full Text Available A pivot-based approach for bilingual lexicon extraction is based on the similarity of context vectors represented by words in a pivot language like English. In this paper, in order to show validity and usability of the pivot-based approach, we evaluate the approach in company with two different methods for estimating context vectors: one estimates them from two parallel corpora based on word association between source words (resp., target words and pivot words and the other estimates them from two parallel corpora based on word alignment tools for statistical machine translation. Empirical results on two language pairs (e.g., Korean-Spanish and Korean-French have shown that the pivot-based approach is very promising for resource-poor languages and this approach observes its validity and usability. Furthermore, for words with low frequency, our method is also well performed.

  10. Lanthanide sorbent based on magnetite nanoparticles functionalized with organophosphorus extractants.

    Science.gov (United States)

    Basualto, Carlos; Gaete, José; Molina, Lorena; Valenzuela, Fernando; Yañez, Claudia; Marco, Jose F

    2015-06-01

    In this work, an adsorbent was prepared based on the attachment of organophosphorus acid extractants, namely, D2EHPA, CYANEX 272, and CYANEX 301, to the surface of superparamagnetic magnetite (Fe 3 O 4 ) nanoparticles. The synthesized nanoparticles were coated with oleic acid, first by a chemisorption mechanism and later by the respective extractant via physical adsorption. The obtained core-shell functionalized magnetite nanoparticle composites were characterized by dynamic light scattering, scanning electron microscopy, transmission electron microscopy, thermogravimetry, infrared absorption and vibrating sample magnetometry. All the prepared nanoparticles exhibited a high saturation magnetization capacity that varied between 72 and 46 emu g -1 and decreased as the magnetite nanoparticle was coated with oleic acid and functionalized. The scope of this study also included adsorption tests for lanthanum, cerium, praseodymium, and neodymium and the corresponding analysis of their results. Sorption tests indicated that the functionalized nanoparticles were able to extract the four studied lanthanide metal ions, although the best extraction performance was observed when the sorbent was functionalized with CYANEX 272, which resulted in a loading capacity of approximately 12-14 mg La /g MNP . The magnetization of the synthesized nanoparticles was verified during the separation of the lanthanide-loaded sorbent from the raffinate by using a conventional magnet.

  11. Lanthanide sorbent based on magnetite nanoparticles functionalized with organophosphorus extractants

    Science.gov (United States)

    Basualto, Carlos; Gaete, José; Molina, Lorena; Valenzuela, Fernando; Yañez, Claudia; Marco, Jose F.

    2015-06-01

    In this work, an adsorbent was prepared based on the attachment of organophosphorus acid extractants, namely, D2EHPA, CYANEX 272, and CYANEX 301, to the surface of superparamagnetic magnetite (Fe3O4) nanoparticles. The synthesized nanoparticles were coated with oleic acid, first by a chemisorption mechanism and later by the respective extractant via physical adsorption. The obtained core-shell functionalized magnetite nanoparticle composites were characterized by dynamic light scattering, scanning electron microscopy, transmission electron microscopy, thermogravimetry, infrared absorption and vibrating sample magnetometry. All the prepared nanoparticles exhibited a high saturation magnetization capacity that varied between 72 and 46 emu g-1 and decreased as the magnetite nanoparticle was coated with oleic acid and functionalized. The scope of this study also included adsorption tests for lanthanum, cerium, praseodymium, and neodymium and the corresponding analysis of their results. Sorption tests indicated that the functionalized nanoparticles were able to extract the four studied lanthanide metal ions, although the best extraction performance was observed when the sorbent was functionalized with CYANEX 272, which resulted in a loading capacity of approximately 12-14 mgLa/gMNP. The magnetization of the synthesized nanoparticles was verified during the separation of the lanthanide-loaded sorbent from the raffinate by using a conventional magnet.

  12. Biodegradable films based on gelatin extracted from chrome leather scrap.

    Science.gov (United States)

    Dang, Xugang; Shan, Zhihua; Chen, Hui

    2018-02-01

    A biodegradable film based on gelatin extracted from chrome leather scrap was studied in this paper. According to the results of a variety of characterization, the extracted gelatin contains 13 kinds of amino acid; the chrome content is 30mg/kg, mineral and salt content are both at low levels and the nitrogen content is 43.84%. Its molecular weight has been measured at about 6.5kDa ∼26.6kDa, and the average particle distribution appears to be 125nm with a narrow distribution. When the extracted gelatin was modified with the β-cyclodextrin to prepare the biodegradable films, the β-cyclodextrin and gelatin blends can build up perfect compatibility and film-forming properties. Comparing to the gelatin film without β-cyclodextrin, the viscosity, biodegradability, thermal stability and physical properties of the β-cyclodextrin and gelatin blends in the present research were significantly increased, especially when the ratio of β-cyclodextrin to gelatin was 1:2, the biodegradation rates reached 81%, elongation at break 15.74% and the tensile strength 122.34MPa. The blends show perfect swelling properties and overcome the rapid solubility drawback of extracted gelatin. Copyright © 2017 Elsevier B.V. All rights reserved.

  13. Arduino-based automation of a DNA extraction system.

    Science.gov (United States)

    Kim, Kyung-Won; Lee, Mi-So; Ryu, Mun-Ho; Kim, Jong-Won

    2015-01-01

    There have been many studies to detect infectious diseases with the molecular genetic method. This study presents an automation process for a DNA extraction system based on microfluidics and magnetic bead, which is part of a portable molecular genetic test system. This DNA extraction system consists of a cartridge with chambers, syringes, four linear stepper actuators, and a rotary stepper actuator. The actuators provide a sequence of steps in the DNA extraction process, such as transporting, mixing, and washing for the gene specimen, magnetic bead, and reagent solutions. The proposed automation system consists of a PC-based host application and an Arduino-based controller. The host application compiles a G code sequence file and interfaces with the controller to execute the compiled sequence. The controller executes stepper motor axis motion, time delay, and input-output manipulation. It drives the stepper motor with an open library, which provides a smooth linear acceleration profile. The controller also provides a homing sequence to establish the motor's reference position, and hard limit checking to prevent any over-travelling. The proposed system was implemented and its functionality was investigated, especially regarding positioning accuracy and velocity profile.

  14. SPARTA: Simple Program for Automated reference-based bacterial RNA-seq Transcriptome Analysis.

    Science.gov (United States)

    Johnson, Benjamin K; Scholz, Matthew B; Teal, Tracy K; Abramovitch, Robert B

    2016-02-04

    Many tools exist in the analysis of bacterial RNA sequencing (RNA-seq) transcriptional profiling experiments to identify differentially expressed genes between experimental conditions. Generally, the workflow includes quality control of reads, mapping to a reference, counting transcript abundance, and statistical tests for differentially expressed genes. In spite of the numerous tools developed for each component of an RNA-seq analysis workflow, easy-to-use bacterially oriented workflow applications to combine multiple tools and automate the process are lacking. With many tools to choose from for each step, the task of identifying a specific tool, adapting the input/output options to the specific use-case, and integrating the tools into a coherent analysis pipeline is not a trivial endeavor, particularly for microbiologists with limited bioinformatics experience. To make bacterial RNA-seq data analysis more accessible, we developed a Simple Program for Automated reference-based bacterial RNA-seq Transcriptome Analysis (SPARTA). SPARTA is a reference-based bacterial RNA-seq analysis workflow application for single-end Illumina reads. SPARTA is turnkey software that simplifies the process of analyzing RNA-seq data sets, making bacterial RNA-seq analysis a routine process that can be undertaken on a personal computer or in the classroom. The easy-to-install, complete workflow processes whole transcriptome shotgun sequencing data files by trimming reads and removing adapters, mapping reads to a reference, counting gene features, calculating differential gene expression, and, importantly, checking for potential batch effects within the data set. SPARTA outputs quality analysis reports, gene feature counts and differential gene expression tables and scatterplots. SPARTA provides an easy-to-use bacterial RNA-seq transcriptional profiling workflow to identify differentially expressed genes between experimental conditions. This software will enable microbiologists with

  15. Evaluation of automated RNA-extraction technology and a qualitative HCV assay for sensitivity and detection of HCV RNA in pool-screening systems

    NARCIS (Netherlands)

    Beld, M.; Habibuw, M. R.; Rebers, S. P.; Boom, R.; Reesink, H. W.

    2000-01-01

    BACKGROUND: The objective of this study was the evaluation of NAT technology for the detection of HCV RNA in plasma pools according to the recommendations of the Paul Ehrlich Institute (5000 IU/mL/donation) and the Committee for Proprietary Medical Products (100 IU/mL/manufacturing pool). STUDY

  16. SHAPE Selection (SHAPES) enrich for RNA structure signal in SHAPE sequencing-based probing data.

    Science.gov (United States)

    Poulsen, Line Dahl; Kielpinski, Lukasz Jan; Salama, Sofie R; Krogh, Anders; Vinther, Jeppe

    2015-05-01

    Selective 2' Hydroxyl Acylation analyzed by Primer Extension (SHAPE) is an accurate method for probing of RNA secondary structure. In existing SHAPE methods, the SHAPE probing signal is normalized to a no-reagent control to correct for the background caused by premature termination of the reverse transcriptase. Here, we introduce a SHAPE Selection (SHAPES) reagent, N-propanone isatoic anhydride (NPIA), which retains the ability of SHAPE reagents to accurately probe RNA structure, but also allows covalent coupling between the SHAPES reagent and a biotin molecule. We demonstrate that SHAPES-based selection of cDNA-RNA hybrids on streptavidin beads effectively removes the large majority of background signal present in SHAPE probing data and that sequencing-based SHAPES data contain the same amount of RNA structure data as regular sequencing-based SHAPE data obtained through normalization to a no-reagent control. Moreover, the selection efficiently enriches for probed RNAs, suggesting that the SHAPES strategy will be useful for applications with high-background and low-probing signal such as in vivo RNA structure probing. © 2015 Poulsen et al.; Published by Cold Spring Harbor Laboratory Press for the RNA Society.

  17. Prediction of MicroRNA-Disease Associations Based on Social Network Analysis Methods

    Directory of Open Access Journals (Sweden)

    Quan Zou

    2015-01-01

    Full Text Available MicroRNAs constitute an important class of noncoding, single-stranded, ~22 nucleotide long RNA molecules encoded by endogenous genes. They play an important role in regulating gene transcription and the regulation of normal development. MicroRNAs can be associated with disease; however, only a few microRNA-disease associations have been confirmed by traditional experimental approaches. We introduce two methods to predict microRNA-disease association. The first method, KATZ, focuses on integrating the social network analysis method with machine learning and is based on networks derived from known microRNA-disease associations, disease-disease associations, and microRNA-microRNA associations. The other method, CATAPULT, is a supervised machine learning method. We applied the two methods to 242 known microRNA-disease associations and evaluated their performance using leave-one-out cross-validation and 3-fold cross-validation. Experiments proved that our methods outperformed the state-of-the-art methods.

  18. Legion Sementation for Building Extraction from LIDAR Based Dsm Data

    Science.gov (United States)

    Liu, C.; Shi, B.; Yang, X.; Li, N.

    2012-07-01

    Recently, a neural oscillator network based on biologically framework named LEGION (Locally Excitatory Globally Inhibitory Oscillator Network), which each oscillator has excitatory lateral connections to the oscillators in its local neighbourhood as well as a connection with a global inhibitor, has been applied to segmentation field. The extended LEGION approach is constructed to extract buildings digital surface model (DSM) generated from LiDAR data. This approach is with no assumption about the underlying structures in DSM data and no prior knowledge regarding the number of regions. Instead of using lateral potential to find a major oscillator block in original way, Gray Level Co-occurence Matrix (GLCM) homogeneity measuring DSM height texture is applied to distinguish buildings from trees and assist to find LEGION leaders in building targets. Alongside the DSM height texture attribure, extended LEGION can extract buildings close to trees automatically. Then a solution of least squares with perpendicularity constraints is put forward to determine regularized rectilinear building boundaries, after tracing and connection the rough building boundaries. In general, the paper presents the concept, algorithms and procedures of the approach. It also gives experimental result of Vaihingen A2 region by the ISPRS text project and another result based on a DSM data of suburban area. The experiment result showed that the proposed method can effectively produce more accurate buildings boundary extraction.

  19. Region-Based Building Rooftop Extraction and Change Detection

    Science.gov (United States)

    Tian, J.; Metzlaff, L.; d'Angelo, P.; Reinartz, P.

    2017-09-01

    Automatic extraction of building changes is important for many applications like disaster monitoring and city planning. Although a lot of research work is available based on 2D as well as 3D data, an improvement in accuracy and efficiency is still needed. The introducing of digital surface models (DSMs) to building change detection has strongly improved the resulting accuracy. In this paper, a post-classification approach is proposed for building change detection using satellite stereo imagery. Firstly, DSMs are generated from satellite stereo imagery and further refined by using a segmentation result obtained from the Sobel gradients of the panchromatic image. Besides the refined DSMs, the panchromatic image and the pansharpened multispectral image are used as input features for mean-shift segmentation. The DSM is used to calculate the nDSM, out of which the initial building candidate regions are extracted. The candidate mask is further refined by morphological filtering and by excluding shadow regions. Following this, all segments that overlap with a building candidate region are determined. A building oriented segments merging procedure is introduced to generate a final building rooftop mask. As the last step, object based change detection is performed by directly comparing the building rooftops extracted from the pre- and after-event imagery and by fusing the change indicators with the roof-top region map. A quantitative and qualitative assessment of the proposed approach is provided by using WorldView-2 satellite data from Istanbul, Turkey.

  20. LEGION SEMENTATION FOR BUILDING EXTRACTION FROM LIDAR BASED DSM DATA

    Directory of Open Access Journals (Sweden)

    C. Liu

    2012-07-01

    Full Text Available Recently, a neural oscillator network based on biologically framework named LEGION (Locally Excitatory Globally Inhibitory Oscillator Network, which each oscillator has excitatory lateral connections to the oscillators in its local neighbourhood as well as a connection with a global inhibitor, has been applied to segmentation field. The extended LEGION approach is constructed to extract buildings digital surface model (DSM generated from LiDAR data. This approach is with no assumption about the underlying structures in DSM data and no prior knowledge regarding the number of regions. Instead of using lateral potential to find a major oscillator block in original way, Gray Level Co-occurence Matrix (GLCM homogeneity measuring DSM height texture is applied to distinguish buildings from trees and assist to find LEGION leaders in building targets. Alongside the DSM height texture attribure, extended LEGION can extract buildings close to trees automatically. Then a solution of least squares with perpendicularity constraints is put forward to determine regularized rectilinear building boundaries, after tracing and connection the rough building boundaries. In general, the paper presents the concept, algorithms and procedures of the approach. It also gives experimental result of Vaihingen A2 region by the ISPRS text project and another result based on a DSM data of suburban area. The experiment result showed that the proposed method can effectively produce more accurate buildings boundary extraction.

  1. REGION-BASED BUILDING ROOFTOP EXTRACTION AND CHANGE DETECTION

    Directory of Open Access Journals (Sweden)

    J. Tian

    2017-09-01

    Full Text Available Automatic extraction of building changes is important for many applications like disaster monitoring and city planning. Although a lot of research work is available based on 2D as well as 3D data, an improvement in accuracy and efficiency is still needed. The introducing of digital surface models (DSMs to building change detection has strongly improved the resulting accuracy. In this paper, a post-classification approach is proposed for building change detection using satellite stereo imagery. Firstly, DSMs are generated from satellite stereo imagery and further refined by using a segmentation result obtained from the Sobel gradients of the panchromatic image. Besides the refined DSMs, the panchromatic image and the pansharpened multispectral image are used as input features for mean-shift segmentation. The DSM is used to calculate the nDSM, out of which the initial building candidate regions are extracted. The candidate mask is further refined by morphological filtering and by excluding shadow regions. Following this, all segments that overlap with a building candidate region are determined. A building oriented segments merging procedure is introduced to generate a final building rooftop mask. As the last step, object based change detection is performed by directly comparing the building rooftops extracted from the pre- and after-event imagery and by fusing the change indicators with the roof-top region map. A quantitative and qualitative assessment of the proposed approach is provided by using WorldView-2 satellite data from Istanbul, Turkey.

  2. Loess Shoulder Line Extraction Based on Openness and Threshold Segmentation

    Directory of Open Access Journals (Sweden)

    WANG Ke

    2015-01-01

    Full Text Available This paper presents a new method of loess shoulder line extraction with openness and threshold segmentation. Openness is an angular measurement of the relationship between surface relief and horizontal distance which can be derived from DEM. As it has the outstanding ability of expressing the positive and negative terrain characteristics and the attribute of "analysis-scale flexibility", in this study, we developed the idea of loess shoulder line extraction based on the difference of positive and negative openness images and threshould segmentation. Firstly, we calculated the positive and negative openness of our study area based on DEM. Then, a difference image was generated by the subtraction of positive and negative openness images. Afer that, it was processed by a threshold segmentation method, and we analyzed some important spatial distribution characteristics of positive and negative terrain in study area. Finally, we extracted the shoulder lines semi-automatically by an edge-detection method which came from the concept of morphology. Our study area locates in Louchuan, Shaanxi province, a typical hilly gully region in northwstern China. Considering the effect of the local window size on analysis accuracy and the match of the fitness surface and DEM terrain surface, we chose a 5 m×5 m high-resolution DEM of Luochuan which was purchased from Shaanxi Administration of Surveying, Mapping and Geoinformation. The result manifested that our method enhanced and guaranteed the accuracy ofthe basic geomorphological characters of study area.

  3. Plant MPSS databases: signature-based transcriptional resources for analyses of mRNA and small RNA.

    Science.gov (United States)

    Nakano, Mayumi; Nobuta, Kan; Vemaraju, Kalyan; Tej, Shivakundan Singh; Skogen, Jeremy W; Meyers, Blake C

    2006-01-01

    MPSS (massively parallel signature sequencing) is a sequencing-based technology that uses a unique method to quantify gene expression level, generating millions of short sequence tags per library. We have created a series of databases for four species (Arabidopsis, rice, grape and Magnaporthe grisea, the rice blast fungus). Our MPSS databases measure the expression level of most genes under defined conditions and provide information about potentially novel transcripts (antisense transcripts, alternative splice isoforms and regulatory intergenic transcripts). A modified version of MPSS has been used to perform deep profiling of small RNAs from Arabidopsis, and we have recently adapted our database to display these data. Interpretation of the small RNA MPSS data is facilitated by the inclusion of extensive repeat data in our genome viewer. All the data and the tools introduced in this article are available at http://mpss.udel.edu.

  4. Comparison of DNA-, PMA-, and RNA-based 16S rRNA Illumina sequencing for detection of live bacteria in water

    OpenAIRE

    Li, Ru; Tun, Hein Min; Jahan, Musarrat; Zhang, Zhengxiao; Kumar, Ayush; Fernando, Dilantha; Farenhorst, Annemieke; Khafipour, Ehsan

    2017-01-01

    The limitation of 16S rRNA gene sequencing (DNA-based) for microbial community analyses in water is the inability to differentiate live (dormant cells as well as growing or non-growing metabolically active cells) and dead cells, which can lead to false positive results in the absence of live microbes. Propidium-monoazide (PMA) has been used to selectively remove DNA from dead cells during downstream sequencing process. In comparison, 16S rRNA sequencing (RNA-based) can target live microbial c...

  5. Ontology-Based Information Extraction for Business Intelligence

    Science.gov (United States)

    Saggion, Horacio; Funk, Adam; Maynard, Diana; Bontcheva, Kalina

    Business Intelligence (BI) requires the acquisition and aggregation of key pieces of knowledge from multiple sources in order to provide valuable information to customers or feed statistical BI models and tools. The massive amount of information available to business analysts makes information extraction and other natural language processing tools key enablers for the acquisition and use of that semantic information. We describe the application of ontology-based extraction and merging in the context of a practical e-business application for the EU MUSING Project where the goal is to gather international company intelligence and country/region information. The results of our experiments so far are very promising and we are now in the process of building a complete end-to-end solution.

  6. Ground extraction from airborne laser data based on wavelet analysis

    Science.gov (United States)

    Xu, Liang; Yang, Yan; Jiang, Bowen; Li, Jia

    2007-11-01

    With the advantages of high resolution and accuracy, airborne laser scanning data are widely used in topographic mapping. In order to generate a DTM, measurements from object features such as buildings, vehicles and vegetation have to be classified and removed. However, the automatic extraction of bare earth from point clouds acquired by airborne laser scanning equipment remains a problem in LIDAR data filtering nowadays. In this paper, a filter algorithm based on wavelet analysis is proposed. Relying on the capability of detecting discontinuities of continuous wavelet transform and the feature of multi-resolution analysis, the object points can be removed, while ground data are preserved. In order to evaluate the performance of this approach, we applied it to the data set used in the ISPRS filter test in 2003. 15 samples have been tested by the proposed approach. Results showed that it filtered most of the objects like vegetation and buildings, and extracted a well defined ground model.

  7. General enumeration of RNA secondary structures based on new ...

    African Journals Online (AJOL)

    Crick base pairs between AU and GC. Based on the new representation, this paper also computes the number of various types of constrained secondary structures taking the minimum stack length 1 and minimum size m for each bonding loop as ...

  8. Efficient recovery of proteins from multiple source samples after TRIzol(®) or TRIzol(®)LS RNA extraction and long-term storage.

    Science.gov (United States)

    Simões, André E S; Pereira, Diane M; Amaral, Joana D; Nunes, Ana F; Gomes, Sofia E; Rodrigues, Pedro M; Lo, Adrian C; D'Hooge, Rudi; Steer, Clifford J; Thibodeau, Stephen N; Borralho, Pedro M; Rodrigues, Cecília M P

    2013-03-15

    Simultaneous isolation of nucleic acids and proteins from a single biological sample facilitates meaningful data interpretation and reduces time, cost and sampling errors. This is particularly relevant for rare human and animal specimens, often scarce, and/or irreplaceable. TRIzol(®) and TRIzol(®)LS are suitable for simultaneous isolation of RNA, DNA and proteins from the same biological sample. These reagents are widely used for RNA and/or DNA isolation, while reports on their use for protein extraction are limited, attributable to technical difficulties in protein solubilisation. TRIzol(®)LS was used for RNA isolation from 284 human colon cancer samples, including normal colon mucosa, tubulovillous adenomas, and colon carcinomas with proficient and deficient mismatch repair system. TRIzol(®) was used for RNA isolation from human colon cancer cells, from brains of transgenic Alzheimer's disease mice model, and from cultured mouse cortical neurons. Following RNA extraction, the TRIzol(®)-chloroform fractions from human colon cancer samples and from mouse hippocampus and frontal cortex were stored for 2 years and 3 months, respectively, at -80°C until used for protein isolation.Simple modifications to the TRIzol(®) manufacturer's protocol, including Urea:SDS solubilization and sonication, allowed improved protein recovery yield compared to the TRIzol(®) manufacturer's protocol. Following SDS-PAGE and Ponceau and Coomassie staining, recovered proteins displayed wide molecular weight range and staining pattern comparable to those obtainable with commonly used protein extraction protocols. We also show that nuclear and cytosolic proteins can be easily extracted and detected by immunoblotting, and that posttranslational modifications, such as protein phosphorylation, are detectable in proteins recovered from TRIzol(®)-chloroform fractions stored for up to 2 years at -80°C. We provide a novel approach to improve protein recovery from samples processed for

  9. DNA-, RNA-, and Protein-Based Stable-Isotope Probing for High-Throughput Biomarker Analysis of Active Microorganisms.

    Science.gov (United States)

    Jameson, Eleanor; Taubert, Martin; Coyotzi, Sara; Chen, Yin; Eyice, Özge; Schäfer, Hendrik; Murrell, J Colin; Neufeld, Josh D; Dumont, Marc G

    2017-01-01

    Stable-isotope probing (SIP) enables researchers to target active populations within complex microbial communities, which is achieved by providing growth substrates enriched in heavy isotopes, usually in the form of 13 C, 18 O, or 15 N. After growth on the substrate and subsequent extraction of microbial biomarkers, typically nucleic acids or proteins, the SIP technique is used for the recovery and analysis of isotope-labeled biomarkers from active microbial populations. In the years following the initial development of DNA- and RNA-based SIP, it was common practice to characterize labeled populations by targeted gene analysis. Such approaches usually involved fingerprint-based analyses or sequencing of clone libraries containing 16S rRNA genes or functional marker gene amplicons. Although molecular fingerprinting remains a valuable approach for rapid confirmation of isotope labeling, recent advances in sequencing technology mean that it is possible to obtain affordable and comprehensive amplicon profiles, metagenomes, or metatranscriptomes from SIP experiments. Not only can the abundance of microbial groups be inferred from metagenomes, but researchers can bin, assemble, and explore individual genomes to build hypotheses about the metabolic capabilities of labeled microorganisms. Analysis of labeled mRNA is a more recent advance that can provide independent metatranscriptome-based analysis of active microorganisms. The power of metatranscriptomics is that mRNA abundance often correlates closely with the corresponding activity of encoded enzymes, thus providing insight into microbial metabolism at the time of sampling. Together, these advances have improved the sensitivity of SIP methods and allow the use of labeled substrates at ecologically relevant concentrations. Particularly as methods improve and costs continue to drop, we expect that the integration of SIP with multiple omics-based methods will become prevalent components of microbial ecology studies

  10. A DNA sequence obtained by replacement of the dopamine RNA aptamer bases is not an aptamer

    DEFF Research Database (Denmark)

    Álvarez-Martos, Isabel; Ferapontova, Elena

    2017-01-01

    A unique specificity of the aptamer-ligand biorecognition and binding facilitates bioanalysis and biosensor development, contributing to discrimination of structurally related molecules, such as dopamine and other catecholamine neurotransmitters. The aptamer sequence capable of specific binding...... of dopamine is a 57 nucleotides long RNA sequence reported in 1997 (Biochemistry, 1997, 36, 9726). Later, it was suggested that the DNA homologue of the RNA aptamer retains the specificity of dopamine binding (Biochem. Biophys. Res. Commun., 2009, 388, 732). Here, we show that the DNA sequence obtained...... by the replacement of the RNA aptamer bases for their DNA analogues is not able of specific biorecognition of dopamine, in contrast to the original RNA aptamer sequence. This DNA sequence binds dopamine and structurally related catecholamine neurotransmitters non-specifically, as any DNA sequence, and, thus...

  11. Targeting MicroRNA in Cancer Using Plant-Based Proanthocyanidins

    Directory of Open Access Journals (Sweden)

    Rishipal R. Bansode

    2016-04-01

    Full Text Available Proanthocyanidins are oligomeric flavonoids found in plant sources, most notably in apples, cinnamon, grape skin and cocoa beans. They have been also found in substantial amounts in cranberry, black currant, green tea, black tea and peanut skins. These compounds have been recently investigated for their health benefits. Proanthocyanidins have been demonstrated to have positive effects on various metabolic disorders such as inflammation, obesity, diabetes and insulin resistance. Another upcoming area of research that has gained widespread interest is microRNA (miRNA-based anticancer therapies. MicroRNAs are short non-coding RNA segments, which plays a crucial role in RNA silencing and post-transcriptional regulation of gene expression. Currently, miRNA based anticancer therapies are being investigated either alone or in combination with current treatment methods. In this review, we summarize the current knowledge and investigate the potential of naturally occurring proanthocyanidins in modulating miRNA expression. We will also assess the strategies and challenges of using this approach as potential cancer therapeutics.

  12. Maintaining Breast Cancer Specimen Integrity and Individual or Simultaneous Extraction of Quality DNA, RNA, and Proteins from Allprotect-Stabilized and Nonstabilized Tissue Samples

    LENUS (Irish Health Repository)

    Mee, Blanaid C.

    2011-12-29

    The Saint James\\'s Hospital Biobank was established in 2008, to develop a high-quality breast tissue BioResource, as a part of the breast cancer clinical care pathway. The aims of this work were: (1) to ascertain the quality of RNA, DNA, and protein in biobanked carcinomas and normal breast tissues, (2) to assess the efficacy of AllPrep® (Qiagen) in isolating RNA, DNA, and protein simultaneously, (3) to compare AllPrep with RNEasy® and QIAamp® (both Qiagen), and (4) to examine the effectiveness of Allprotect® (Qiagen), a new tissue stabilization medium in preserving DNA, RNA, and proteins. One hundred eleven frozen samples of carcinoma and normal breast tissue were analyzed. Tumor and normal tissue morphology were confirmed by frozen sections. Tissue type, tissue treatment (Allprotect vs. no Allprotect), extraction kit, and nucleic acid quantification were analyzed by utilizing a 4 factorial design (SPSS PASW 18 Statistics Software®). QIAamp (DNA isolation), AllPrep (DNA, RNA, and Protein isolation), and RNeasy (RNA isolation) kits were assessed and compared. Mean DNA yield and A260\\/280 values using QIAamp were 33.2 ng\\/μL and 1.86, respectively, and using AllPrep were 23.2 ng\\/μL and 1.94. Mean RNA yield and RNA Integrity Number (RIN) values with RNeasy were 73.4 ng\\/μL and 8.16, respectively, and with AllPrep were 74.8 ng\\/μL and 7.92. Allprotect-treated tissues produced higher RIN values of borderline significance (P=0.055). No discernible loss of RNA stability was detected after 6 h incubation of stabilized or nonstabilized tissues at room temperature or 4°C or in 9 freeze-thaw cycles. Allprotect requires further detailed evaluation, but we consider AllPrep to be an excellent option for the simultaneous extraction of RNA, DNA, and protein from tumor and normal breast tissues. The essential presampling procedures that maintain the diagnostic integrity of pathology specimens do not appear to compromise the quality of molecular isolates.

  13. Metabarcoding monitoring analysis: the pros and cons of using co-extracted environmental DNA and RNA data to assess offshore oil production impacts on benthic communities

    Directory of Open Access Journals (Sweden)

    Olivier Laroche

    2017-05-01

    Full Text Available Sequencing environmental DNA (eDNA is increasingly being used as an alternative to traditional morphological-based identification to characterize biological assemblages and monitor anthropogenic impacts in marine environments. Most studies only assess eDNA which, compared to eRNA, can persist longer in the environment after cell death. Therefore, eRNA may provide a more immediate census of the environment due to its relatively weaker stability, leading some researchers to advocate for the use of eRNA as an additional, or perhaps superior proxy for portraying ecological changes. A variety of pre-treatment techniques for screening eDNA and eRNA derived operational taxonomic units (OTUs have been employed prior to statistical analyses, including removing singleton taxa (i.e., OTUs found only once and discarding those not present in both eDNA and eRNA datasets. In this study, we used bacterial (16S ribosomal RNA gene and eukaryotic (18S ribosomal RNA gene eDNA- and eRNA-derived data from benthic communities collected at increasing distances along a transect from an oil production platform (Taranaki, New Zealand. Macro-infauna (visual classification of benthic invertebrates and physico-chemical data were analyzed in parallel. We tested the effect of removing singleton taxa, and removing taxa not present in the eDNA and eRNA libraries from the same environmental sample (trimmed by shared OTUs, by comparing the impact of the oil production platform on alpha- and beta-diversity of the eDNA/eRNA-based biological assemblages, and by correlating these to the morphologically identified macro-faunal communities and the physico-chemical data. When trimmed by singletons, presence/absence information from eRNA data represented the best proxy to detect changes on species diversity for both bacteria and eukaryotes. However, assessment of quantitative beta-diversity from read abundance information of bacteria eRNA did not, contrary to eDNA, reveal any impact from

  14. Metabarcoding monitoring analysis: the pros and cons of using co-extracted environmental DNA and RNA data to assess offshore oil production impacts on benthic communities.

    Science.gov (United States)

    Laroche, Olivier; Wood, Susanna A; Tremblay, Louis A; Lear, Gavin; Ellis, Joanne I; Pochon, Xavier

    2017-01-01

    Sequencing environmental DNA (eDNA) is increasingly being used as an alternative to traditional morphological-based identification to characterize biological assemblages and monitor anthropogenic impacts in marine environments. Most studies only assess eDNA which, compared to eRNA, can persist longer in the environment after cell death. Therefore, eRNA may provide a more immediate census of the environment due to its relatively weaker stability, leading some researchers to advocate for the use of eRNA as an additional, or perhaps superior proxy for portraying ecological changes. A variety of pre-treatment techniques for screening eDNA and eRNA derived operational taxonomic units (OTUs) have been employed prior to statistical analyses, including removing singleton taxa (i.e., OTUs found only once) and discarding those not present in both eDNA and eRNA datasets. In this study, we used bacterial (16S ribosomal RNA gene) and eukaryotic (18S ribosomal RNA gene) eDNA- and eRNA-derived data from benthic communities collected at increasing distances along a transect from an oil production platform (Taranaki, New Zealand). Macro-infauna (visual classification of benthic invertebrates) and physico-chemical data were analyzed in parallel. We tested the effect of removing singleton taxa, and removing taxa not present in the eDNA and eRNA libraries from the same environmental sample (trimmed by shared OTUs), by comparing the impact of the oil production platform on alpha- and beta-diversity of the eDNA/eRNA-based biological assemblages, and by correlating these to the morphologically identified macro-faunal communities and the physico-chemical data. When trimmed by singletons, presence/absence information from eRNA data represented the best proxy to detect changes on species diversity for both bacteria and eukaryotes. However, assessment of quantitative beta-diversity from read abundance information of bacteria eRNA did not, contrary to eDNA, reveal any impact from the oil

  15. Metabarcoding monitoring analysis: the pros and cons of using co-extracted environmental DNA and RNA data to assess offshore oil production impacts on benthic communities

    KAUST Repository

    Laroche, Olivier

    2017-05-17

    Sequencing environmental DNA (eDNA) is increasingly being used as an alternative to traditional morphological-based identification to characterize biological assemblages and monitor anthropogenic impacts in marine environments. Most studies only assess eDNA which, compared to eRNA, can persist longer in the environment after cell death. Therefore, eRNA may provide a more immediate census of the environment due to its relatively weaker stability, leading some researchers to advocate for the use of eRNA as an additional, or perhaps superior proxy for portraying ecological changes. A variety of pre-treatment techniques for screening eDNA and eRNA derived operational taxonomic units (OTUs) have been employed prior to statistical analyses, including removing singleton taxa (i.e., OTUs found only once) and discarding those not present in both eDNA and eRNA datasets. In this study, we used bacterial (16S ribosomal RNA gene) and eukaryotic (18S ribosomal RNA gene) eDNA- and eRNA-derived data from benthic communities collected at increasing distances along a transect from an oil production platform (Taranaki, New Zealand). Macro-infauna (visual classification of benthic invertebrates) and physico-chemical data were analyzed in parallel. We tested the effect of removing singleton taxa, and removing taxa not present in the eDNA and eRNA libraries from the same environmental sample (trimmed by shared OTUs), by comparing the impact of the oil production platform on alpha- and beta-diversity of the eDNA/eRNA-based biological assemblages, and by correlating these to the morphologically identified macro-faunal communities and the physico-chemical data. When trimmed by singletons, presence/absence information from eRNA data represented the best proxy to detect changes on species diversity for both bacteria and eukaryotes. However, assessment of quantitative beta-diversity from read abundance information of bacteria eRNA did not, contrary to eDNA, reveal any impact from the oil

  16. Modified gateway system for double shRNA expression and Cre/lox based gene expression

    Directory of Open Access Journals (Sweden)

    Leung Lisa

    2011-03-01

    Full Text Available Abstract Background The growing need for functional studies of genes has set the stage for the development of versatile tools for genetic manipulations. Results Aiming to provide tools for high throughput analysis of gene functions, we have developed a modified short hairpin RNA (shRNA and gene expression system based on Gateway Technology. The system contains a series of entry and destination vectors that enables easy transfer of shRNA or cDNA into lentiviral expression systems with a variety of selection or marker genes (i.e. puromycin, hygromycin, green fluorescent protein-EGFP, yellow fluorescent protein-YFP and red fluorescent protein-dsRed2. Our shRNA entry vector pENTR.hU6.hH1 containing two tandem human shRNA expression promoters, H1 and U6, was capable of co-expressing two shRNA sequences simultaneously. The entry vector for gene overexpression, pENTR.CMV.ON was constructed to contain CMV promoter with a multiple cloning site flanked by loxP sites allowing for subsequent Cre/lox recombination. Both shRNA and cDNA expression vectors also contained attL sites necessary for recombination with attR sites in our destination expression vectors. As proof of principle we demonstrate the functionality and efficiency of this system by testing expression of several cDNA and shRNA sequences in a number of cell lines. Conclusion Our system is a valuable addition to already existing library of Gateway based vectors and can be an essential tool for many aspects of gene functional studies.

  17. Modified gateway system for double shRNA expression and Cre/lox based gene expression.

    Science.gov (United States)

    Radulovich, Nikolina; Leung, Lisa; Tsao, Ming-Sound

    2011-03-22

    The growing need for functional studies of genes has set the stage for the development of versatile tools for genetic manipulations. Aiming to provide tools for high throughput analysis of gene functions, we have developed a modified short hairpin RNA (shRNA) and gene expression system based on Gateway Technology. The system contains a series of entry and destination vectors that enables easy transfer of shRNA or cDNA into lentiviral expression systems with a variety of selection or marker genes (i.e. puromycin, hygromycin, green fluorescent protein-EGFP, yellow fluorescent protein-YFP and red fluorescent protein-dsRed2). Our shRNA entry vector pENTR.hU6.hH1 containing two tandem human shRNA expression promoters, H1 and U6, was capable of co-expressing two shRNA sequences simultaneously. The entry vector for gene overexpression, pENTR.CMV.ON was constructed to contain CMV promoter with a multiple cloning site flanked by loxP sites allowing for subsequent Cre/lox recombination. Both shRNA and cDNA expression vectors also contained attL sites necessary for recombination with attR sites in our destination expression vectors. As proof of principle we demonstrate the functionality and efficiency of this system by testing expression of several cDNA and shRNA sequences in a number of cell lines. Our system is a valuable addition to already existing library of Gateway based vectors and can be an essential tool for many aspects of gene functional studies.

  18. Effects of deer velvet extract from Formosan sika deer on the embryonic development and anti-oxidative enzymes mRNA expression in mouse embryos.

    Science.gov (United States)

    Cheng, Shih-Lin; Lai, Yi-Ling; Lee, Ming-Che; Shen, Perng-Chih; Liu, Shyh-Shyan; Liu, Bing-Tsan

    2014-07-03

    The deer velvet or its extracts has been widely used in clinic. It has been used in promoting reproductive performances and treating of oxidation and aging process. The aim of this study is to investigate the effects of velvet extract from Formosan sika deer (Formosan sika deer; Cervus nippon taiouanus, FSD) velvet on mouse embryonic development and anti-oxidant ability in vitro. Mouse 4-cells embryos were divided into 16 groups for 72 h in vitro incubation. The embryonic development stages and morphology were evaluated every 12h in experimental period. The quantitative real time PCR was used to measure the CuZn-SOD, GPx and CAT mRNA expression of the blastocysts. The 4-cells embryos of hydrogen peroxide (HP) groups did not continue developing after oxidant stress challenged. The blastocyst developmental rate (90.0-90.4%, P>0.05) and normal morphological rate (84.4-85.1%, P>0.05) of the 1% and 2% DV extract groups were similar to those in the control group (90.7% and 88.8%, respectively). The embryos challenged by HP (5, 10 and 25 μM) and subsequently incubated in mHTF medium with 1% and 2% of deer velvet (DV) extracts were able to continue development; the blastocyst developmental rate of these groups were similar to that in the control group. The relative mRNA expression of the focused anti-oxidative enzymes in the mouse embryos did not significantly differ among the designed DV treatment groups (P>0.05). The FSD velvet extract in adequate concentration could promote anti-oxidative enzymes mRNA expression followed the challenge of hydrogen peroxide, relieve the mouse embryo under oxidative stress, and maintain the blastocyst developmental ability in vitro. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

  19. Probing electronic coupling between adenine bases in RNA strands from synchrotron radiation circular dichroism experiments

    DEFF Research Database (Denmark)

    Nielsen, Lisbeth Munksgård; Hoffmann, Søren Vrønning; Nielsen, Steen Brøndsted

    2012-01-01

    Circular dichroism spectra (176–330 nm) of RNA adenine oligomers, (rA)n (n = 1–10, 12, 15, and 20), reveal electronic coupling between two bases in short strands. The number of interacting bases in long strands is more and larger than that reported previously for the corresponding DNA strands....

  20. Visual-adaptation-mechanism based underwater object extraction

    Science.gov (United States)

    Chen, Zhe; Wang, Huibin; Xu, Lizhong; Shen, Jie

    2014-03-01

    Due to the major obstacles originating from the strong light absorption and scattering in a dynamic underwater environment, underwater optical information acquisition and processing suffer from effects such as limited range, non-uniform lighting, low contrast, and diminished colors, causing it to become the bottleneck for marine scientific research and projects. After studying and generalizing the underwater biological visual mechanism, we explore its advantages in light adaption which helps animals to precisely sense the underwater scene and recognize their prey or enemies. Then, aiming to transform the significant advantage of the visual adaptation mechanism into underwater computer vision tasks, a novel knowledge-based information weighting fusion model is established for underwater object extraction. With this bionic model, the dynamical adaptability is given to the underwater object extraction task, making them more robust to the variability of the optical properties in different environments. The capability of the proposed method to adapt to the underwater optical environments is shown, and its outperformance for the object extraction is demonstrated by comparison experiments.

  1. Analogy between gambling and measurement-based work extraction

    Science.gov (United States)

    Vinkler, Dror A.; Permuter, Haim H.; Merhav, Neri

    2016-04-01

    In information theory, one area of interest is gambling, where mutual information characterizes the maximal gain in wealth growth rate due to knowledge of side information; the betting strategy that achieves this maximum is named the Kelly strategy. In the field of physics, it was recently shown that mutual information can characterize the maximal amount of work that can be extracted from a single heat bath using measurement-based control protocols, i.e. using ‘information engines’. However, to the best of our knowledge, no relation between gambling and information engines has been presented before. In this paper, we briefly review the two concepts and then demonstrate an analogy between gambling, where bits are converted into wealth, and information engines, where bits representing measurements are converted into energy. From this analogy follows an extension of gambling to the continuous-valued case, which is shown to be useful for investments in currency exchange rates or in the stock market using options. Moreover, the analogy enables us to use well-known methods and results from one field to solve problems in the other. We present three such cases: maximum work extraction when the probability distributions governing the system and measurements are unknown, work extraction when some energy is lost in each cycle, e.g. due to friction, and an analysis of systems with memory. In all three cases, the analogy enables us to use known results in order to obtain new ones.

  2. Extraction of Trivalent Actinides and Lanthanides from Californium Campaign Rework Solution Using TODGA-based Solvent Extraction System

    Energy Technology Data Exchange (ETDEWEB)

    Benker, Dennis [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Delmau, Laetitia Helene [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Dryman, Joshua Cory [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

    2017-07-01

    This report presents the studies carried out to demonstrate the possibility of quantitatively extracting trivalent actinides and lanthanides from highly acidic solutions using a neutral ligand-based solvent extraction system. These studies stemmed from the perceived advantage of such systems over cationexchange- based solvent extraction systems that require an extensive feed adjustment to make a low-acid feed. The targeted feed solutions are highly acidic aqueous phases obtained after the dissolution of curium targets during a californium (Cf) campaign. Results obtained with actual Cf campaign solutions, but highly diluted to be manageable in a glove box, are presented, followed by results of tests run in the hot cells with Cf campaign rework solutions. It was demonstrated that a solvent extraction system based on the tetraoctyl diglycolamide molecule is capable of quantitatively extracting trivalent actinides from highly acidic solutions. This system was validated using actual feeds from a Cf campaign.

  3. Annotation-based feature extraction from sets of SBML models.

    Science.gov (United States)

    Alm, Rebekka; Waltemath, Dagmar; Wolfien, Markus; Wolkenhauer, Olaf; Henkel, Ron

    2015-01-01

    Model repositories such as BioModels Database provide computational models of biological systems for the scientific community. These models contain rich semantic annotations that link model entities to concepts in well-established bio-ontologies such as Gene Ontology. Consequently, thematically similar models are likely to share similar annotations. Based on this assumption, we argue that semantic annotations are a suitable tool to characterize sets of models. These characteristics improve model classification, allow to identify additional features for model retrieval tasks, and enable the comparison of sets of models. In this paper we discuss four methods for annotation-based feature extraction from model sets. We tested all methods on sets of models in SBML format which were composed from BioModels Database. To characterize each of these sets, we analyzed and extracted concepts from three frequently used ontologies, namely Gene Ontology, ChEBI and SBO. We find that three out of the methods are suitable to determine characteristic features for arbitrary sets of models: The selected features vary depending on the underlying model set, and they are also specific to the chosen model set. We show that the identified features map on concepts that are higher up in the hierarchy of the ontologies than the concepts used for model annotations. Our analysis also reveals that the information content of concepts in ontologies and their usage for model annotation do not correlate. Annotation-based feature extraction enables the comparison of model sets, as opposed to existing methods for model-to-keyword comparison, or model-to-model comparison.

  4. Epithelial-mesenchymal transition and cancer stem cells, mediated by a long non-coding RNA, HOTAIR, are involved in cell malignant transformation induced by cigarette smoke extract

    Energy Technology Data Exchange (ETDEWEB)

    Liu, Yi; Luo, Fei; Xu, Yuan; Wang, Bairu; Zhao, Yue; Xu, Wenchao; Shi, Le; Lu, Xiaolin; Liu, Qizhan, E-mail: drqzliu@hotmail.com

    2015-01-01

    The incidence of lung diseases, including cancer, caused by cigarette smoke is increasing, but the molecular mechanisms of gene regulation induced by cigarette smoke remain unclear. This report describes a long noncoding RNA (lncRNA) that is induced by cigarette smoke extract (CSE) and experiments utilizing lncRNAs to integrate inflammation with the epithelial-mesenchymal transition (EMT) in human bronchial epithelial (HBE) cells. The present study shows that, induced by CSE, IL-6, a pro-inflammatory cytokine, leads to activation of STAT3, a transcription activator. A ChIP assay determined that the interaction of STAT3 with the promoter regions of HOX transcript antisense RNA (HOTAIR) increased levels of HOTAIR. Blocking of IL-6 with anti-IL-6 antibody, decreasing STAT3, and inhibiting STAT3 activation reduced HOTAIR expression. Moreover, for HBE cells cultured in the presence of HOTAIR siRNA for 24 h, the CSE-induced EMT, formation of cancer stem cells (CSCs), and malignant transformation were reversed. Thus, IL-6, acting on STAT3 signaling, which up-regulates HOTAIR in an autocrine manner, contributes to the EMT and to CSCs induced by CSE. These data define a link between inflammation and EMT, processes involved in the malignant transformation of cells caused by CSE. This link, mediated through lncRNAs, establishes a mechanism for CSE-induced lung carcinogenesis. - Highlights: • STAT3 directly regulates the levels of LncRNA HOTAIR. • LncRNA HOTAIR mediates the link between inflammation and EMT. • LncRNA HOTAIR is involved in the malignant transformation of cells caused by CSE.

  5. Stability of RNA silencing-based traits after virus infection

    DEFF Research Database (Denmark)

    Jørgensen, Bodil; Albrechtsen, Merete

    2007-01-01

    with constructs based on virus coat protein (CP) genes or other viral genes has been successfully used to engineer PTGS-mediated virus resistance into a large number of crop plants and some transgenic lines have been commercially exploited. However the discovery that plant viruses encode suppressors of gene...

  6. Identification of co-expression gene networks, regulatory genes and pathways for obesity based on adipose tissue RNA Sequencing in a porcine model

    DEFF Research Database (Denmark)

    Kogelman, Lisette; Cirera Salicio, Susanna; Zhernakova, Daria V.

    2014-01-01

    interactions. Identification of co-expressed and regulatory genes in RNA extracted from relevant tissues representing lean and obese individuals provides an entry point for the identification of genes and pathways of importance to the development of obesity. The pig, an omnivorous animal, is an excellent model...... in a porcine model. Methods We selected 36 animals for RNA Sequencing from a previously created F2 pig population representing three extreme groups based on their predicted genetic risks for obesity. We applied Weighted Gene Co-expression Network Analysis (WGCNA) to detect clusters of highly co-expressed genes...... in humans and rodents, e.g. CSF1R and MARC2. Conclusions To our knowledge, this is the first study to apply systems biology approaches using porcine adipose tissue RNA-Sequencing data in a genetically characterized porcine model for obesity. We revealed complex networks, pathways, candidate and regulatory...

  7. Contour extraction of echocardiographic images based on pre-processing

    International Nuclear Information System (INIS)

    Hussein, Zinah Rajab; Rahmat, Rahmita Wirza; Abdullah, Lili Nurliyana; Zamrin, D M; Saripan, M Iqbal

    2011-01-01

    In this work we present a technique to extract the heart contours from noisy echocardiograph images. Our technique is based on improving the image before applying contours detection to reduce heavy noise and get better image quality. To perform that, we combine many pre-processing techniques (filtering, morphological operations, and contrast adjustment) to avoid unclear edges and enhance low contrast of echocardiograph images, after implementing these techniques we can get legible detection for heart boundaries and valves movement by traditional edge detection methods.

  8. A window-based time series feature extraction method.

    Science.gov (United States)

    Katircioglu-Öztürk, Deniz; Güvenir, H Altay; Ravens, Ursula; Baykal, Nazife

    2017-10-01

    This study proposes a robust similarity score-based time series feature extraction method that is termed as Window-based Time series Feature ExtraCtion (WTC). Specifically, WTC generates domain-interpretable results and involves significantly low computational complexity thereby rendering itself useful for densely sampled and populated time series datasets. In this study, WTC is applied to a proprietary action potential (AP) time series dataset on human cardiomyocytes and three precordial leads from a publicly available electrocardiogram (ECG) dataset. This is followed by comparing WTC in terms of predictive accuracy and computational complexity with shapelet transform and fast shapelet transform (which constitutes an accelerated variant of the shapelet transform). The results indicate that WTC achieves a slightly higher classification performance with significantly lower execution time when compared to its shapelet-based alternatives. With respect to its interpretable features, WTC has a potential to enable medical experts to explore definitive common trends in novel datasets. Copyright © 2017 Elsevier Ltd. All rights reserved.

  9. An atlas of RNA base pairs involving modified nucleobases with optimal geometries and accurate energies

    KAUST Repository

    Chawla, Mohit

    2015-06-27

    Posttranscriptional modifications greatly enhance the chemical information of RNA molecules, contributing to explain the diversity of their structures and functions. A significant fraction of RNA experimental structures available to date present modified nucleobases, with half of them being involved in H-bonding interactions with other bases, i.e. ‘modified base pairs’. Herein we present a systematic investigation of modified base pairs, in the context of experimental RNA structures. To this end, we first compiled an atlas of experimentally observed modified base pairs, for which we recorded occurrences and structural context. Then, for each base pair, we selected a representative for subsequent quantum mechanics calculations, to find out its optimal geometry and interaction energy. Our structural analyses show that most of the modified base pairs are non Watson–Crick like and are involved in RNA tertiary structure motifs. In addition, quantum mechanics calculations quantify and provide a rationale for the impact of the different modifications on the geometry and stability of the base pairs they participate in.

  10. Sensitive voltammetric detection of yeast RNA based on its interaction with Victoria Blue B

    Directory of Open Access Journals (Sweden)

    WEI SUN

    2009-12-01

    Full Text Available Voltammetric studies of the interaction of yeast RNA (y-RNA with Victoria Blue B (VBB are described in this paper. Furthermore, a linear sweep voltammetric method for the detection of y-RNA was established. The reaction conditions, such as acidity and amount of buffer solution, the concentration of VBB, the reaction time and temperature, etc., were carefully investigated by second order derivative linear sweep voltammetry. Under the optimal conditions, the reduction peak current of VBB at –0.75 V decreased greatly after the addition of y-RNA to the solution without any shift of the reduction peak potential. Based on the decrease of the peak current, a new quantitative method for the determination of y-RNA was developed. The effects of co-existing substances on the determination were carefully investigated and three synthetic samples were determined with satisfactory results. The stoichiometry of the VBB–y-RNA complex was calculated by linear sweep voltammetry and the interaction mechanism is discussed.

  11. Nanosystems based on siRNA silencing HuR expression counteract diabetic retinopathy in rat.

    Science.gov (United States)

    Amadio, Marialaura; Pascale, Alessia; Cupri, Sarha; Pignatello, Rosario; Osera, Cecilia; D Agata, Velia; D Amico, Agata Grazia; Leggio, Gian Marco; Ruozi, Barbara; Govoni, Stefano; Drago, Filippo; Bucolo, Claudio

    2016-09-01

    We evaluated whether specifically and directly targeting human antigen R (HuR), a member of embryonic lethal abnormal vision (ELAV) proteins family, may represent a new potential therapeutic strategy to manage diabetic retinopathy. Nanosystems loaded with siRNA silencing HuR expression (lipoplexes), consisting of solid lipid nanoparticles (SLN) and liposomes (SUV) were prepared. Photon correlation spectroscopy analysis, Zeta potential measurement and atomic force microscopy (AFM) studies were carried out to characterize the complexation of siRNA with the lipid nanocarriers. Nanosystems were evaluated by using AFM and scanning electron microscopy. The lipoplexes were injected into the eye of streptozotocin (STZ)-induced diabetic rats. Retinal HuR and VEGF levels were detected by Western blot and ELISA, respectively. Retinal histology was also carried out. The results demonstrated that retinal HuR and VEGF are significantly increased in STZ-rats and are blunted by HuR siRNA treatment. Lipoplexes with a weak positive surface charge and with a 4:1 N/P (cationic lipid nitrogen to siRNA phosphate) ratio exert a better transfection efficiency, significantly dumping retinal HuR and VEGF levels. In conclusion, we demonstrated that siRNA can be efficiently delivered into the rat retina using lipid-based nanocarriers, and some of the lipoplexes loaded with siRNA silencing HuR expression are potential candidates to manage retinal diseases. Copyright © 2016 Elsevier Ltd. All rights reserved.

  12. tRNA acceptor-stem and anticodon bases embed separate features of amino acid chemistry

    Science.gov (United States)

    Carter, Charles W.; Wolfenden, Richard

    2016-01-01

    abstract The universal genetic code is a translation table by which nucleic acid sequences can be interpreted as polypeptides with a wide range of biological functions. That information is used by aminoacyl-tRNA synthetases to translate the code. Moreover, amino acid properties dictate protein folding. We recently reported that digital correlation techniques could identify patterns in tRNA identity elements that govern recognition by synthetases. Our analysis, and the functionality of truncated synthetases that cannot recognize the tRNA anticodon, support the conclusion that the tRNA acceptor stem houses an independent code for the same 20 amino acids that likely functioned earlier in the emergence of genetics. The acceptor-stem code, related to amino acid size, is distinct from a code in the anticodon that is related to amino acid polarity. Details of the acceptor-stem code suggest that it was useful in preserving key properties of stereochemically-encoded peptides that had developed the capacity to interact catalytically with RNA. The quantitative embedding of the chemical properties of amino acids into tRNA bases has implications for the origins of molecular biology. PMID:26595350

  13. URS DataBase: universe of RNA structures and their motifs.

    Science.gov (United States)

    Baulin, Eugene; Yacovlev, Victor; Khachko, Denis; Spirin, Sergei; Roytberg, Mikhail

    2016-01-01

    The Universe of RNA Structures DataBase (URSDB) stores information obtained from all RNA-containing PDB entries (2935 entries in October 2015). The content of the database is updated regularly. The database consists of 51 tables containing indexed data on various elements of the RNA structures. The database provides a web interface allowing user to select a subset of structures with desired features and to obtain various statistical data for a selected subset of structures or for all structures. In particular, one can easily obtain statistics on geometric parameters of base pairs, on structural motifs (stems, loops, etc.) or on different types of pseudoknots. The user can also view and get information on an individual structure or its selected parts, e.g. RNA-protein hydrogen bonds. URSDB employs a new original definition of loops in RNA structures. That definition fits both pseudoknot-free and pseudoknotted secondary structures and coincides with the classical definition in case of pseudoknot-free structures. To our knowledge, URSDB is the first database supporting searches based on topological classification of pseudoknots and on extended loop classification.Database URL: http://server3.lpm.org.ru/urs/. © The Author(s) 2016. Published by Oxford University Press.

  14. A collaborative European exercise on mRNA-based body fluid/skin typing and interpretation of DNA and RNA results

    DEFF Research Database (Denmark)

    van den Berge, M; Carracedo, A; Gomes, I

    2014-01-01

    The European Forensic Genetics Network of Excellence (EUROFORGEN-NoE) undertook a collaborative project on mRNA-based body fluid/skin typing and the interpretation of the resulting RNA and DNA data. Although both body fluids and skin are composed of a variety of cell types with different functions...... of cell types was assessed. This scoring system builds on replicate RNA analyses and the ratio observed/possible peaks for each cell type [1]. The results of the exercise support the usefulness of this scoring system. When interpreting the data obtained from the analysis of the mock casework stains...

  15. Model-Based Extracted Water Desalination System for Carbon Sequestration

    Energy Technology Data Exchange (ETDEWEB)

    Dees, Elizabeth M. [General Electric Global Research Center, Niskayuna, NY (United States); Moore, David Roger [General Electric Global Research Center, Niskayuna, NY (United States); Li, Li [Pennsylvania State Univ., University Park, PA (United States); Kumar, Manish [Pennsylvania State Univ., University Park, PA (United States)

    2017-05-28

    Over the last 1.5 years, GE Global Research and Pennsylvania State University defined a model-based, scalable, and multi-stage extracted water desalination system that yields clean water, concentrated brine, and, optionally, salt. The team explored saline brines that ranged across the expected range for extracted water for carbon sequestration reservoirs (40,000 up to 220,000 ppm total dissolved solids, TDS). In addition, the validated the system performance at pilot scale with field-sourced water using GE’s pre-pilot and lab facilities. This project encompassed four principal tasks, in addition to Project Management and Planning: 1) identify a deep saline formation carbon sequestration site and a partner that are suitable for supplying extracted water; 2) conduct a techno-economic assessment and down-selection of pre-treatment and desalination technologies to identify a cost-effective system for extracted water recovery; 3) validate the downselected processes at the lab/pre-pilot scale; and 4) define the scope of the pilot desalination project. Highlights from each task are described below: Deep saline formation characterization The deep saline formations associated with the five DOE NETL 1260 Phase 1 projects were characterized with respect to their mineralogy and formation water composition. Sources of high TDS feed water other than extracted water were explored for high TDS desalination applications, including unconventional oil and gas and seawater reverse osmosis concentrate. Technoeconomic analysis of desalination technologies Techno-economic evaluations of alternate brine concentration technologies, including humidification-dehumidification (HDH), membrane distillation (MD), forward osmosis (FO), turboexpander-freeze, solvent extraction and high pressure reverse osmosis (HPRO), were conducted. These technologies were evaluated against conventional falling film-mechanical vapor recompression (FF-MVR) as a baseline desalination process. Furthermore, a

  16. Internal control for real-time polymerase chain reaction based on MS2 bacteriophage for RNA viruses diagnostics

    Directory of Open Access Journals (Sweden)

    Miriam Ribas Zambenedetti

    Full Text Available BACKGROUND Real-time reverse transcription polymerase chain reaction (RT-PCR is routinely used to detect viral infections. In Brazil, it is mandatory the use of nucleic acid tests to detect hepatitis C virus (HCV, hepatitis B virus and human immunodeficiency virus in blood banks because of the immunological window. The use of an internal control (IC is necessary to differentiate the true negative results from those consequent from a failure in some step of the nucleic acid test. OBJECTIVES The aim of this study was the construction of virus-modified particles, based on MS2 bacteriophage, to be used as IC for the diagnosis of RNA viruses. METHODS The MS2 genome was cloned into the pET47b(+ plasmid, generating pET47b(+-MS2. MS2-like particles were produced through the synthesis of MS2 RNA genome by T7 RNA polymerase. These particles were used as non-competitive IC in assays for RNA virus diagnostics. In addition, a competitive control for HCV diagnosis was developed by cloning a mutated HCV sequence into the MS2 replicase gene of pET47b(+-MS2, which produces a non-propagating MS2 particle. The utility of MS2-like particles as IC was evaluated in a one-step format multiplex real-time RT-PCR for HCV detection. FINDINGS We demonstrated that both competitive and non-competitive IC could be successfully used to monitor the HCV amplification performance, including the extraction, reverse transcription, amplification and detection steps, without compromising the detection of samples with low target concentrations. In conclusion, MS2-like particles generated by this strategy proved to be useful IC for RNA virus diagnosis, with advantage that they are produced by a low cost protocol. An attractive feature of this system is that it allows the construction of a multicontrol by the insertion of sequences from more than one pathogen, increasing its applicability for diagnosing different RNA viruses.

  17. Extracting Communities of Interests for Semantics-Based Graph Searches

    Science.gov (United States)

    Nakatsuji, Makoto; Tanaka, Akimichi; Uchiyama, Toshio; Fujimura, Ko

    Users recently find their interests by checking the contents published or mentioned by their immediate neighbors in social networking services. We propose semantics-based link navigation; links guide the active user to potential neighbors who may provide new interests. Our method first creates a graph that has users as nodes and shared interests as links. Then it divides the graph by link pruning to extract practical numbers, that the active user can navigate, of interest-sharing groups, i.e. communities of interests (COIs). It then attaches a different semantic tag to the link to each representative user, which best reflects the interests of COIs that they are included in, and to the link to each immediate neighbor of the active user. It finally calculates link attractiveness by analyzing the semantic tags on links. The active user can select the link to access by checking the semantic tags and link attractiveness. User interests extracted from large scale actual blog-entries are used to confirm the efficiency of our proposal. Results show that navigation based on link attractiveness and representative users allows the user to find new interests much more accurately than is otherwise possible.

  18. Nanotechnology based approaches for detection and delivery of microRNA in healthcare and crop protection.

    Science.gov (United States)

    Chaudhary, Vrantika; Jangra, Sumit; Yadav, Neelam R

    2018-04-13

    Nanobiotechnology has the potential to revolutionize diverse sectors including medicine, agriculture, food, textile and pharmaceuticals. Disease diagnostics, therapeutics and crop protection strategies are fast emerging using nanomaterials preferably nanobiomaterials. It has potential for development of novel nanobiomolecules which offer several advantages over conventional treatment methods. RNA nanoparticles with many unique features are promising candidates in disease treatment. The miRNAs are involved in many biochemical and developmental pathways and their regulation in plants and animals. These appear to be a powerful tool for controlling various pathological diseases in human, plants and animals, however there are challenges associated with miRNA based nanotechnology. Several advancements made in the field of miRNA therapeutics make it an attractive approach, but a lot more has to be explored in nanotechnology assisted miRNA therapy. The miRNA based technologies can be employed for detection and combating crop diseases as well. Despite these potential advantages, nanobiotechnology applications in the agricultural sector are still in its infancy and have not yet made its mark in comparison with healthcare sector. The review provides a platform to discuss nature, role and use of miRNAs in nanobiotechnology applications.

  19. RNA-Based TWIST1 Inhibition via Dendrimer Complex to Reduce Breast Cancer Cell Metastasis

    Directory of Open Access Journals (Sweden)

    James Finlay

    2015-01-01

    Full Text Available Breast cancer is the leading cause of cancer-related deaths among women in the United States, and survival rates are lower for patients with metastases and/or triple-negative breast cancer (TNBC; ER, PR, and Her2 negative. Understanding the mechanisms of cancer metastasis is therefore crucial to identify new therapeutic targets and develop novel treatments to improve patient outcomes. A potential target is the TWIST1 transcription factor, which is often overexpressed in aggressive breast cancers and is a master regulator of cellular migration through epithelial-mesenchymal transition (EMT. Here, we demonstrate an siRNA-based TWIST1 silencing approach with delivery using a modified poly(amidoamine (PAMAM dendrimer. Our results demonstrate that SUM1315 TNBC cells efficiently take up PAMAM-siRNA complexes, leading to significant knockdown of TWIST1 and EMT-related target genes. Knockdown lasts up to one week after transfection and leads to a reduction in migration and invasion, as determined by wound healing and transwell assays. Furthermore, we demonstrate that PAMAM dendrimers can deliver siRNA to xenograft orthotopic tumors and siRNA remains in the tumor for at least four hours after treatment. These results suggest that further development of dendrimer-based delivery of siRNA for TWIST1 silencing may lead to a valuable adjunctive therapy for patients with TNBC.

  20. Enzymatic synthesis and RNA interference of nucleosides incorporating stable isotopes into a base moiety.

    Science.gov (United States)

    Hatano, Akihiko; Shiraishi, Mitsuya; Terado, Nanae; Tanabe, Atsuhiro; Fukuda, Kenji

    2015-10-15

    Thymidine phosphorylase was used to catalyze the conversion of thymidine (or methyluridine) and uracil incorporating stable isotopes to deoxyuridine (or uridine) with the uracil base incorporating the stable isotope. These base-exchange reactions proceeded with high conversion rates (75-96%), and the isolated yields were also good (64-87%). The masses of all synthetic compounds incorporating stable isotopes were identical to the theoretical molecular weights via EIMS. (13)C NMR spectra showed spin-spin coupling between (13)C and (15)N in the synthetic compounds, and the signals were split, further proving incorporation of the isotopes into the compounds. The RNA interference effects of this siRNA with uridine incorporating stable isotopes were also investigated. A 25mer siRNA had a strong knockdown effect on the MARCKS protein. The insertion position and number of uridine moieties incorporating stable isotopes introduced into the siRNA had no influence on the silencing of the target protein. This incorporation of stable isotopes into RNA and DNA has the potential to function as a chemically benign tracer in cells. Copyright © 2015 Elsevier Ltd. All rights reserved.

  1. DNAzyme-based probe for circulating microRNA detection in peripheral blood

    Directory of Open Access Journals (Sweden)

    Shao G

    2015-11-01

    Full Text Available Guoli Shao,1,* Shufeng Ji,1,* Aiguo Wu,1 Cuiping Liu,2 Mengchuan Wang,1 Pusheng Zhang,1 Qingli Jiao,1 Yuzhan Kang2 1Department of General Surgery, 2Department of Critical Care Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong Province, People’s Republic of China *These authors contributed equally to this work Background: The recent discovery of microRNAs (miRNAs and their extracellular presence suggest a potential role of these regulatory molecules in defining the metastatic potential of cancer cells and mediating the cancer–host communication. This study aims to improve the sensitivity of miRNA detection via DNAzyme-based method and enhance the selectivity by using the DNAzyme-based probe to reduce nonspecific amplification. Methods: The miRNA probes were chemically synthesized with a phosphate at the 5' end and purified by polyacrylamide gel electrophoresis. Exosomal RNA from peripheral blood was isolated. Carboxylated magnetic microsphere beads (MBs were functionalized with streptavidin (SA according to a previously reported method with some modification. T capture probe-coated SA-MBs (DNA-MBs were also prepared. The fluorescent spectra were measured using a spectrofluorophotometer. Results: We designed an incomplete DNAzyme probe with two stems and one bubble structure as a recognition element for the specific detection of miRNA with high sensitivity. The background effects were decreased with increase of the added of DNA-MBs and capturing times. Therefore, 20 minutes was selected as the optimal concentration in the current study. The fluorescence intensity increases as the hybridization time changed and reached a constant level at 40 minutes, and 1 µM is the optimum signal probe concentration for self-assembled DNA concatemers formation. In the presence of miRNA, the fluorescence of the solution increased with increasing miRNA concentration. There is no obvious fluorescence in the presence of 10 mM of

  2. Liquid-phase extraction coupled with metal-organic frameworks-based dispersive solid phase extraction of herbicides in peanuts.

    Science.gov (United States)

    Li, Na; Wang, Zhibing; Zhang, Liyuan; Nian, Li; Lei, Lei; Yang, Xiao; Zhang, Hanqi; Yu, Aimin

    2014-10-01

    Liquid-phase extraction coupled with metal-organic frameworks-based dispersive solid phase extraction was developed and applied to the extraction of pesticides in high fatty matrices. The herbicides were ultrasonically extracted from peanut using ethyl acetate as extraction solvent. The separation of the analytes from a large amount of co-extractive fat was achieved by dispersive solid-phase extraction using MIL-101(Cr) as sorbent. In this step, the analytes were adsorbed on MIL-101(Cr) and the fat remained in bulk. The herbicides were separated and determined by high-performance liquid chromatography. The experimental parameters, including type and volume of extraction solvent, ultrasonication time, volume of hexane and eluting solvent, amount of MIL-101(Cr) and dispersive solid phase extraction time, were optimized. The limits of detection for herbicides range from 0.98 to 1.9 μg/kg. The recoveries of the herbicides are in the range of 89.5-102.7% and relative standard deviations are equal or lower than 7.0%. The proposed method is simple, effective and suitable for treatment of the samples containing high content of fat. Copyright © 2014 Elsevier B.V. All rights reserved.

  3. Model-based Extracted Water Desalination System for Carbon Sequestration

    Energy Technology Data Exchange (ETDEWEB)

    Gettings, Rachel; Dees, Elizabeth

    2017-03-23

    The focus of this research effort centered around water recovery from high Total Dissolved Solids (TDS) extracted waters (180,000 mg/L) using a combination of water recovery (partial desalination) technologies. The research goals of this project were as follows: 1. Define the scope and test location for pilot-scale implementation of the desalination system, 2.Define a scalable, multi-stage extracted water desalination system that yields clean water, concentrated brine, and, salt from saline brines, and 3. Validate overall system performance with field-sourced water using GE pre-pilot lab facilities. Conventional falling film-mechanical vapor recompression (FF-MVR) technology was established as a baseline desalination process. A quality function deployment (QFD) method was used to compare alternate high TDS desalination technologies to the base case FF-MVR technology, including but not limited to: membrane distillation (MD), forward osmosis (FO), and high pressure reverse osmosis (HPRO). Technoeconomic analysis of high pressure reverse osmosis (HPRO) was performed comparing the following two cases: 1. a hybrid seawater RO (SWRO) plus HPRO system and 2. 2x standard seawater RO system, to achieve the same total pure water recovery rate. Pre-pilot-scale tests were conducted using field production water to validate key process steps for extracted water pretreatment. Approximately 5,000 gallons of field produced water was processed through, microfiltration, ultrafiltration, and steam regenerable sorbent operations. Improvements in membrane materials of construction were considered as necessary next steps to achieving further improvement in element performance at high pressure. Several modifications showed promising results in their ability to withstand close to 5,000 PSI without gross failure.

  4. Associations between HIV-RNA-based indicators and virological and clinical outcomes

    DEFF Research Database (Denmark)

    Laut, Kamilla G; Shepherd, Leah C; Pedersen, Court

    2016-01-01

    OBJECTIVES: To evaluate and compare the performance of six HIV-RNA-based quality of care indicators for predicting short-term and long-term outcomes. DESIGN: Multinational cohort study. METHODS: We included EuroSIDA patients on antiretroviral therapy (ART) with at least three viral load measureme...

  5. NIR-induced spatiotemporally controlled gene silencing by upconversion nanoparticle-based siRNA nanocarrier.

    Science.gov (United States)

    Chen, Guojun; Ma, Ben; Xie, Ruosen; Wang, Yuyuan; Dou, Kefeng; Gong, Shaoqin

    2017-12-27

    Spatiotemporal control over the release or activation of biomacromolecules such as siRNA remains a significant challenge. Light-controlled release has gained popularity in recent years; however, a major limitation is that most photoactivable compounds/systems respond only to UV irradiation, but not near-infrared (NIR) light that offers a deeper tissue penetration depth and better biocompatibility. This paper reports a simple NIR-to-UV upconversion nanoparticle (UCNP)-based siRNA nanocarrier for NIR-controlled gene silencing. siRNA is complexed onto a NaYF 4 :Yb/Tm/Er UCNP through an azobenzene (Azo)-cyclodextrin (CD) host-guest interaction. The UV emission generated by the NIR-activated UCNP effectively triggers the trans-to-cis photoisomerization of azobenzene, thus leading to the release of siRNA due to unmatched host-guest pairs. The UCNP-siRNA complexes are also functionalized with PEG (i.e., UCNP-(CD/Azo)-siRNA/PEG NPs), targeting ligands (i.e., EGFR-specific GE11 peptide), acid-activatable cell-penetrating peptides (i.e., TH peptide), and imaging probes (i.e., Cy5 fluorophore). The UCNP-(CD/Azo)-siRNA/PEG NPs with both GE11 and TH peptides display a high level of cellular uptake and an excellent endosomal/lysosomal escape capability. More importantly, NIR-controlled spatiotemporal knockdown of GFP expression is successfully achieved in both a 2D monolayer cell model and a 3D multicellular tumor spheroid model. Thus, this simple and versatile nanoplatform has great potential for the selective activation or release of various biomacromolecules. Copyright © 2017. Published by Elsevier B.V.

  6. A mRNA-Responsive G-Quadruplex-Based Drug Release System

    Directory of Open Access Journals (Sweden)

    Hidenobu Yaku

    2015-04-01

    Full Text Available G-quadruplex-based drug delivery carriers (GDDCs were designed to capture and release a telomerase inhibitor in response to a target mRNA. Hybridization between a loop on the GDDC structure and the mRNA should cause the G-quadruplex structure of the GDDC to unfold and release the bound inhibitor, anionic copper(II phthalocyanine (CuAPC. As a proof of concept, GDDCs were designed with a 10-30-mer loop, which can hybridize with a target sequence in epidermal growth factor receptor (EGFR mRNA. Structural analysis using circular dichroism (CD spectroscopy showed that the GDDCs form a (3 + 1 type G-quadruplex structure in 100 mM KCl and 10 mM MgCl2 in the absence of the target RNA. Visible absorbance titration experiments showed that the GDDCs bind to CuAPC with Ka values of 1.5 × 105 to 5.9 × 105 M−1 (Kd values of 6.7 to 1.7 μM at 25 °C, depending on the loop length. Fluorescence titration further showed that the G-quadruplex structure unfolds upon binding to the target RNA with Ka values above 1.0 × 108 M−1 (Kd values below 0.01 μM at 25 °C. These results suggest the carrier can sense and bind to the target RNA, which should result in release of the bound drug. Finally, visible absorbance titration experiments demonstrated that the GDDC release CuAPC in response to the target RNA.

  7. Construction of permanently inducible miRNA-based expression vectors using site-specific recombinases

    Directory of Open Access Journals (Sweden)

    Garwick-Coppens Sara E

    2011-11-01

    Full Text Available Abstract Background RNA interference (RNAi is a conserved gene silencing mechanism mediated by small inhibitory microRNAs (miRNAs. Promoter-driven miRNA expression vectors have emerged as important tools for delivering natural or artificially designed miRNAs to eukaryotic cells and organisms. Such systems can be used to query the normal or pathogenic functions of natural miRNAs or messenger RNAs, or to therapeutically silence disease genes. Results As with any molecular cloning procedure, building miRNA-based expression constructs requires a time investment and some molecular biology skills. To improve efficiency and accelerate the construction process, we developed a method to rapidly generate miRNA expression vectors using recombinases instead of more traditional cut-and-paste molecular cloning techniques. In addition to streamlining the construction process, our cloning strategy provides vectors with added versatility. In our system, miRNAs can be constitutively expressed from the U6 promoter, or inducibly expressed by Cre recombinase. We also engineered a built-in mechanism to destroy the vector with Flp recombinase, if desired. Finally, to further simplify the construction process, we developed a software package that automates the prediction and design of optimal miRNA sequences using our system. Conclusions We designed and tested a modular system to rapidly clone miRNA expression cassettes. Our strategy reduces the hands-on time required to successfully generate effective constructs, and can be implemented in labs with minimal molecular cloning expertise. This versatile system provides options that permit constitutive or inducible miRNA expression, depending upon the needs of the end user. As such, it has utility for basic or translational applications.

  8. Towards a more appropriate water based extraction for the assessment of organic contaminant availability

    International Nuclear Information System (INIS)

    Hickman, Zachary A.; Reid, Brian J.

    2005-01-01

    This study correlated extractabilities of 37 d aged phenanthrene residues in four dissimilar soils with the fraction that was available for earthworm (Lumbricus rubellus) accumulation and microorganism (Pseudomonas sp.) mineralisation. Extractability was determined using two established techniques, namely (1) a water based extraction using CO 2 equilibrated water and (2) an aqueous based hydroxypropyl-β-cyclodextrin (HPCD) extraction. Results showed no relationship between earthworm accumulation and phenanthrene extractability using either HPCD (r 2 =0.07; slope=-4.76; n=5) or the water based extraction (r 2 =0.31; slope=-5.34; n=5). Earthworm accumulation was overestimated by both techniques. In contrast, the fraction of phenanthrene extractable using both the HPCD technique and the water based extraction correlated strongly with microbial mineralisation. However, the slopes of these linear relationships were 0.48 (r 2 =0.96; n=10), and 0.99 (r 2 =0.88; n=10) for the water based extraction and HPCD, respectively. Thus, the HPCD extraction provided values that were numerically close to the mineralisation values, whilst the water based extraction values were approximately half the mineralisation values. It is submitted that HPCD extraction provided an appropriate method of assessing the fraction of contaminant available for microbial mineralisation in these dissimilar soils. - No significant difference was found between microbially mineralised phenanthrene and extractability using hydroxypropyl-β-cyclodextrin in four dissimilar soils; the water-only extraction removed half of this fraction

  9. Unlocking the 'microbial black box' using RNA-based stable isotope probing technologies.

    Science.gov (United States)

    Whiteley, Andrew S; Manefield, Mike; Lueders, Tillmann

    2006-02-01

    Microbial ecologists have long sought to associate the transformation of compounds in the environment with the microbial clades responsible. The development of stable isotope probing (SIP) has made this possible in many ecological and biotechnological contexts. RNA-based SIP technologies represent a significant leap forward for culture-independent 'functional phylogeny' analyses, where specific consumption of a given compound carrying a (13)C signature can be associated with the small subunit ribosomal RNA molecules of the microbes that consume it. Recent advances have led to the unequivocal identification of microorganisms responsible for contaminant degradation in engineered systems, and to applications enhancing our understanding of carbon flow in terrestrial ecosystems.

  10. Nanoparticle-based delivery of small interfering RNA: challenges for cancer therapy

    Directory of Open Access Journals (Sweden)

    Miele E

    2012-07-01

    Full Text Available Evelina Miele,1,* Gian Paolo Spinelli,2,* Ermanno Miele,3 Enzo Di Fabrizio,3,6 Elisabetta Ferretti,4 Silverio Tomao,2 Alberto Gulino,1,5 1Department of Molecular Medicine, 2Department of Medico-Surgical Sciences and Biotechnologies, Sapienza University of Rome, Rome, 3Nanostructures, Istituto Italiano di Tecnologia, via Morego, 30, 16163 Genova, 4Department of Experimental Medicine, Sapienza University of Rome, Rome, 5Center for Life Nanoscience, Istituto Italiano di Tecnologia, Rome, Italy, 6BIONEM lab, University of Magna Graecia, Campus S. Venuta, Viale Europa 88100 Catanzaro, Italy *These authors contributed equally to this workAbstract: During recent decades there have been remarkable advances and profound changes in cancer therapy. Many therapeutic strategies learned at the bench, including monoclonal antibodies and small molecule inhibitors, have been used at the bedside, leading to important successes. One of the most important advances in biology has been the discovery that small interfering RNA (siRNA is able to regulate the expression of genes, by a phenomenon known as RNA interference (RNAi. RNAi is one of the most rapidly growing fields of research in biology and therapeutics. Much research effort has gone into the application of this new discovery in the treatment of various diseases, including cancer. However, even though these molecules may have potential and strong utility, some limitations make their clinical application difficult, including delivery problems, side effects due to off-target actions, disturbance of physiological functions of the cellular machinery involved in gene silencing, and induction of the innate immune response. Many researchers have attempted to overcome these limitations and to improve the safety of potential RNAi-based therapeutics. Nanoparticles, which are nanostructured entities with tunable size, shape, and surface, as well as biological behavior, provide an ideal opportunity to modify current

  11. Contactless physiological signals extraction based on skin color magnification

    Science.gov (United States)

    Suh, Kun Ha; Lee, Eui Chul

    2017-11-01

    Although the human visual system is not sufficiently sensitive to perceive blood circulation, blood flow caused by cardiac activity makes slight changes on human skin surfaces. With advances in imaging technology, it has become possible to capture these changes through digital cameras. However, it is difficult to obtain clear physiological signals from such changes due to its fineness and noise factors, such as motion artifacts and camera sensing disturbances. We propose a method for extracting physiological signals with improved quality from skin colored-videos recorded with a remote RGB camera. The results showed that our skin color magnification method reveals the hidden physiological components remarkably in the time-series signal. A Korea Food and Drug Administration-approved heart rate monitor was used for verifying the resulting signal synchronized with the actual cardiac pulse, and comparisons of signal peaks showed correlation coefficients of almost 1.0. In particular, our method can be an effective preprocessing before applying additional postfiltering techniques to improve accuracy in image-based physiological signal extractions.

  12. Wavelet based feature extraction and visualization in hyperspectral tissue characterization.

    Science.gov (United States)

    Denstedt, Martin; Bjorgan, Asgeir; Milanič, Matija; Randeberg, Lise Lyngsnes

    2014-12-01

    Hyperspectral images of tissue contain extensive and complex information relevant for clinical applications. In this work, wavelet decomposition is explored for feature extraction from such data. Wavelet methods are simple and computationally effective, and can be implemented in real-time. The aim of this study was to correlate results from wavelet decomposition in the spectral domain with physical parameters (tissue oxygenation, blood and melanin content). Wavelet decomposition was tested on Monte Carlo simulations, measurements of a tissue phantom and hyperspectral data from a human volunteer during an occlusion experiment. Reflectance spectra were decomposed, and the coefficients were correlated to tissue parameters. This approach was used to identify wavelet components that can be utilized to map levels of blood, melanin and oxygen saturation. The results show a significant correlation (p wavelet components. The tissue parameters could be mapped using a subset of the calculated components due to redundancy in spectral information. Vessel structures are well visualized. Wavelet analysis appears as a promising tool for extraction of spectral features in skin. Future studies will aim at developing quantitative mapping of optical properties based on wavelet decomposition.

  13. 16S rRNA gene sequencing of mock microbial populations- impact of DNA extraction method, primer choice and sequencing platform.

    Science.gov (United States)

    Fouhy, Fiona; Clooney, Adam G; Stanton, Catherine; Claesson, Marcus J; Cotter, Paul D

    2016-06-24

    Next-generation sequencing platforms have revolutionised our ability to investigate the microbiota composition of complex environments, frequently through 16S rRNA gene sequencing of the bacterial component of the community. Numerous factors, including DNA extraction method, primer sequences and sequencing platform employed, can affect the accuracy of the results achieved. The aim of this study was to determine the impact of these three factors on 16S rRNA gene sequencing results, using mock communities and mock community DNA. The use of different primer sequences (V4-V5, V1-V2 and V1-V2 degenerate primers) resulted in differences in the genera and species detected. The V4-V5 primers gave the most comparable results across platforms. The three Ion PGM primer sets detected more of the 20 mock community species than the equivalent MiSeq primer sets. Data generated from DNA extracted using the 2 extraction methods were very similar. Microbiota compositional data differed depending on the primers and sequencing platform that were used. The results demonstrate the risks in comparing data generated using different sequencing approaches and highlight the merits of choosing a standardised approach for sequencing in situations where a comparison across multiple sequencing runs is required.

  14. Monitoring of the antiviral potential of bee venom and wax extracts against Adeno-7 (DNA) and Rift Valley fever virus (RNA) viruses models.

    Science.gov (United States)

    Hassan, Mostafa I; Mohamed, Aly F; Amer, Moner A; Hammad, Kotb M; Riad, Saber A

    2015-04-01

    This study monitored the antiviral potential of bee venom and four wax extracts, ethanol white and black beeswax (EWW/EBW) and acetone white and black beeswax (AWW/ABW) extracts. Two different virus models namely Adeno-7 as DNA model and RVFV as RNA virus models. End point calculation assay was used to calculate virus depletion titer. The depletion of viral infectivity titer of ABW to Adeno-7 virus showed strong antiviral activity recorded a depletion of viral infectivity titer (1.66 log (10)/ ml) that gave equal action with bee venom and more than interferon IFN (1 log (10)/ ml). On the other hand, antiviral activity of EBW showed a moderate potential, while AWW showed no antiviral activity. Finally EWW showed synergetic activity against Adeno-7 virus activity. Thus, activity of wax extracts to RVFV was arranged in order of IFN bee venom > AWW & EBW > EWW and ABW recorded 3.34, 0.65, 0.5, 0.34 respectively. It is the first time to study the beeswax effect against DNA and RNA virus' models; acetone black beeswax recorded a depletion titer 1.66 log (10)/ml.

  15. Construction of differential mRNA-lncRNA crosstalk networks based on ceRNA hypothesis uncover key roles of lncRNAs implicated in esophageal squamous cell carcinoma.

    Science.gov (United States)

    Yang, Shuang; Ning, Qianqian; Zhang, Guobin; Sun, Hong; Wang, Zhen; Li, Yixue

    2016-12-27

    Increasing evidence has indicated that lncRNAs acting as competing endogenous RNAs (ceRNAs) play crucial roles in tumorigenesis, metastasis and diagnosis of cancer. However, the function of lncRNAs as ceRNAs involved in esophageal squamous cell carcinoma (ESCC) is still largely unknown. In this study, clinical implications of two intrinsic subtypes of ESCC were identified based on expression profiles of lncRNA and mRNA. ESCC subtype-specific differential co-expression networks between mRNAs and lncRNAs were constructed to reveal dynamic changes of their crosstalks mediated by miRNAs during tumorigenesis. Several well-known cancer-associated lncRNAs as the hubs of the two networks were firstly proposed in ESCC. Based on the ceRNA mechanism, we illustrated that the"loss" of miR-186-mediated PVT1-mRNA and miR-26b-mediated LINC00240-mRNA crosstalks were related to the two ESCC subtypes respectively. In addition, crosstalks between LINC00152 and EGFR, LINC00240 and LOX gene family were identified, which were associated with the function of "response to wounding" and "extracellular matrix-receptor interaction". Furthermore, functional cooperation of multiple lncRNAs was discovered in the two differential mRNA-lncRNA crosstalk networks. These together systematically uncovered the roles of lncRNAs as ceRNAs implicated in ESCC.

  16. Emerging RNA-based drugs: siRNAs, microRNAs and derivates.

    Science.gov (United States)

    Pereira, Tiago Campos; Lopes-Cendes, Iscia

    2012-09-01

    An emerging new category of therapeutic agents based on ribonucleic acid has emerged and shown very promising in vitro, animal and pre-clinical results, known as small interfering RNAs (siRNAs), microRNAs mimics (miRNA mimics) and their derivates. siRNAs are small RNA molecules that promote potent and specific silencing of mutant, exogenous or aberrant genes through a mechanism known as RNA interference. These agents have called special attention to medicine since they have been used to experimentally treat a series of neurological conditions with distinct etiologies such as prion, viral, bacterial, fungal, genetic disorders and others. siRNAs have also been tested in other scenarios such as: control of anxiety, alcohol consumption, drug-receptor blockage and inhibition of pain signaling. Although in a much earlier stage, miRNAs mimics, anti-miRs and small activating RNAs (saRNAs) also promise novel therapeutic approaches to control gene expression. In this review we intend to introduce clinicians and medical researchers to the most recent advances in the world of siRNA- and miRNA-mediated gene control, its history, applications in cells, animals and humans, delivery methods (an yet unsolved hurdle), current status and possible applications in future clinical practice.

  17. Structure-Based Alignment and Consensus Secondary Structures for Three HIV-Related RNA Genomes.

    Science.gov (United States)

    Lavender, Christopher A; Gorelick, Robert J; Weeks, Kevin M

    2015-05-01

    HIV and related primate lentiviruses possess single-stranded RNA genomes. Multiple regions of these genomes participate in critical steps in the viral replication cycle, and the functions of many RNA elements are dependent on the formation of defined structures. The structures of these elements are still not fully understood, and additional functional elements likely exist that have not been identified. In this work, we compared three full-length HIV-related viral genomes: HIV-1NL4-3, SIVcpz, and SIVmac (the latter two strains are progenitors for all HIV-1 and HIV-2 strains, respectively). Model-free RNA structure comparisons were performed using whole-genome structure information experimentally derived from nucleotide-resolution SHAPE reactivities. Consensus secondary structures were constructed for strongly correlated regions by taking into account both SHAPE probing structural data and nucleotide covariation information from structure-based alignments. In these consensus models, all known functional RNA elements were recapitulated with high accuracy. In addition, we identified multiple previously unannotated structural elements in the HIV-1 genome likely to function in translation, splicing and other replication cycle processes; these are compelling targets for future functional analyses. The structure-informed alignment strategy developed here will be broadly useful for efficient RNA motif discovery.

  18. Development of a flat membrane based device for electromembrane extraction

    DEFF Research Database (Denmark)

    Huang, Chuixiu; Eibak, Lars Erik Eng; Gjelstad, Astrid

    2014-01-01

    this EME device, exhaustive extraction of the basic drugs quetiapine, citalopram, amitriptyline, methadone and sertraline was investigated from both acidified water samples and human plasma. The volume of acceptor solution, extraction time, and extraction voltage were found to be important factors...

  19. An answer summarization method based on keyword extraction

    Directory of Open Access Journals (Sweden)

    Fan Qiaoqing

    2017-01-01

    Full Text Available In order to reduce the redundancy of answer summary generated from community q&a dataset without topic tags, we propose an answer summarization algorithm based on keyword extraction. We combine tf-idf with word vector to change the influence transferred ratio equation in TextRank. And then during summarizing, we take the ratio of the number of sentences containing any keyword to the total number of candidate sentences as an adaptive factor for AMMR. Meanwhile we reuse the scores of keywords generated by TextRank as a weight factor for sentence similarity computing. Experimental results show that the proposed answer summarization is better than the traditional MMR and AMMR.

  20. Detection of base pair mismatches in duplex DNA and RNA oligonucleotides using electrospray mass spectrometry

    Science.gov (United States)

    Griffey, Richard H.; Greig, Michael J.

    1997-05-01

    The identify and location of base pair mismatches in non- covalent DNA:RNA duplexes are established using MS and MS-MS on a quadruple ion trap with electrospray ionization (ESI). MS-MS experiments on a 14mer duplex (D) with a single C:A base pair mismatch using lower activation energy results in selective cleavage of the mismatched A nucleobase, even in the presence of the wild-type duplex. The location of the mismatch base pair can be discerned via presence of the wild-type duplex. The location of the mismatch base pair can be discerned via selection of the (D-5H)5- ion and fragmentation of the backbone at that location in a n additional MS-MS experiment. Selective fragmentation is observed for C in a C-C mismatched base pair, which is very difficult to detect using chemical cleavage or E. coli mismatch binding protein. In an RNA:DNA duplex with a single base pair mismatch, the DNA base is removed without fragmentation of the RNA strand, greatly simplifying the interpretation of the resulting MS spectrum. A method is presented for detecting two DNA strands, for example a point mutation which generates an oncogenic phenotype, and the wild-type message. The results suggest that ESI-MS-MS may provide a rapid and selective method to identify and locate genetic mutations without the need for chemical degradation or protein binding followed by gel electrophoresis.

  1. High sensitivity surface plasmon resonance biosensor for detection of microRNA and small molecule based on graphene oxide-gold nanoparticles composites.

    Science.gov (United States)

    Li, Qing; Wang, Qing; Yang, Xiaohai; Wang, Kemin; Zhang, Hua; Nie, Wenyan

    2017-11-01

    A versatile and sensitive surface plasmon resonance (SPR) biosensor based on two layers of graphene oxide-gold nanoparticles (GO-AuNPs) composites was designed for the detection of microRNA (miRNA) and small molecule adenosine. The bottom layer, which acted as a functionalized substrate on the sensor chip, provided a high specific surface area convenient for the immobilization of capture DNA molecules. The upper layer served as a signal-amplification element. By employing these two layers of GO-AuNPs composites, the dual amplification strategy was achieved so that a measurement of miRNA-141 with a detection limit of 0.1fM was obtained. Moreover, the developed SPR biosensor showed decent selectivity toward miRNA-200 family members. Especially, the SPR biosensor demonstrated its applicability for the detection of miRNA-141 in cancer cell extractions, and the results obtained were consistent with those obtained by qRT-PCR. Interestingly, small molecule adenosine could also be detected using this SPR biosensor in combination with a split aptamer. Considering the superior sensitivity, selectivity and generality, this work promised much potential for the detection of various biomolecules. Copyright © 2017 Elsevier B.V. All rights reserved.

  2. A Simple and Effective Method for High Quality Co-Extraction of Genomic DNA and Total RNA from Low Biomass Ectocarpus siliculosus, the Model Brown Alga

    Science.gov (United States)

    Greco, Maria; Sáez, Claudio A.; Brown, Murray T.; Bitonti, Maria Beatrice

    2014-01-01

    The brown seaweed Ectocarpus siliculosus is an emerging model species distributed worldwide in temperate coastal ecosystems. Over 1500 strains of E. siliculosus are available in culture from a broad range of geographic locations and ecological niches. To elucidate the molecular mechanisms underlying its capacity to cope with different environmental and biotic stressors, genomic and transcriptomic studies are necessary; this requires the co-isolation of genomic DNA and total RNA. In brown algae, extraction of nucleic acids is hindered by high concentrations of secondary metabolites that co-precipitate with nucleic acids. Here, we propose a reliable, rapid and cost-effective procedure for the co-isolation of high-quality nucleic acids using small quantities of biomass (25-, 50- and 100 mg) from strains of E. siliculosus (RHO12; LIA4A; EC524 and REP10–11) isolated from sites with different environmental conditions. The procedure employs a high pH extraction buffer (pH 9.5) which contains 100 mM Tris-HCl and 150 mM NaCl, with the addition of 5 mM DTT and 1% sarkosyl to ensure maximum solubility of nucleic acids, effective inhibition of nuclease activity and removal of interfering contaminants (e.g. polysaccharides, polyphenols). The use of sodium acetate together with isopropanol shortened precipitation time and enhanced the yields of DNA/RNA. A phenol:chlorophorm:isoamyl alcohol step was subsequently used to purify the nucleic acids. The present protocol produces high yields of nucleic acids from only 25 mg of fresh algal biomass (0.195 and 0.284 µg mg−1 fresh weigh of RNA and DNA, respectively) and the high quality of the extracted nucleic acids was confirmed through spectrophotometric and electrophoretic analyses. The isolated RNA can be used directly in downstream applications such as RT-PCR and the genomic DNA was suitable for PCR, producing reliable restriction enzyme digestion patterns. Co-isolation of DNA/RNA from different strains indicates that this

  3. Union Exon Based Approach for RNA-Seq Gene Quantification: To Be or Not to Be?

    Science.gov (United States)

    Zhao, Shanrong; Xi, Li; Zhang, Baohong

    2015-01-01

    In recent years, RNA-seq is emerging as a powerful technology in estimation of gene and/or transcript expression, and RPKM (Reads Per Kilobase per Million reads) is widely used to represent the relative abundance of mRNAs for a gene. In general, the methods for gene quantification can be largely divided into two categories: transcript-based approach and 'union exon'-based approach. Transcript-based approach is intrinsically more difficult because different isoforms of the gene typically have a high proportion of genomic overlap. On the other hand, 'union exon'-based approach method is much simpler and thus widely used in RNA-seq gene quantification. Biologically, a gene is expressed in one or more transcript isoforms. Therefore, transcript-based approach is logistically more meaningful than 'union exon'-based approach. Despite the fact that gene quantification is a fundamental task in most RNA-seq studies, however, it remains unclear whether 'union exon'-based approach for RNA-seq gene quantification is a good practice or not. In this paper, we carried out a side-by-side comparison of 'union exon'-based approach and transcript-based method in RNA-seq gene quantification. It was found that the gene expression levels are significantly underestimated by 'union exon'-based approach, and the average of RPKM from 'union exons'-based method is less than 50% of the mean expression obtained from transcript-based approach. The difference between the two approaches is primarily affected by the number of transcripts in a gene. We performed differential analysis at both gene and transcript levels, respectively, and found more insights, such as isoform switches, are gained from isoform differential analysis. The accuracy of isoform quantification would improve if the read coverage pattern and exon-exon spanning reads are taken into account and incorporated into EM (Expectation Maximization) algorithm. Our investigation discourages the use of 'union exons'-based approach in gene

  4. Site-Specific Incorporation of Functional Components into RNA by an Unnatural Base Pair Transcription System

    Directory of Open Access Journals (Sweden)

    Rie Kawai

    2012-03-01

    Full Text Available Toward the expansion of the genetic alphabet, an unnatural base pair between 7-(2-thienylimidazo[4,5-b]pyridine (Ds and pyrrole-2-carbaldehyde (Pa functions as a third base pair in replication and transcription, and provides a useful tool for the site-specific, enzymatic incorporation of functional components into nucleic acids. We have synthesized several modified-Pa substrates, such as alkylamino-, biotin-, TAMRA-, FAM-, and digoxigenin-linked PaTPs, and examined their transcription by T7 RNA polymerase using Ds-containing DNA templates with various sequences. The Pa substrates modified with relatively small functional groups, such as alkylamino and biotin, were efficiently incorporated into RNA transcripts at the internal positions, except for those less than 10 bases from the 3′-terminus. We found that the efficient incorporation into a position close to the 3′-terminus of a transcript depended on the natural base contexts neighboring the unnatural base, and that pyrimidine-Ds-pyrimidine sequences in templates were generally favorable, relative to purine-Ds-purine sequences. The unnatural base pair transcription system provides a method for the site-specific functionalization of large RNA molecules.

  5. A quantitative analysis of secondary RNA structure using domination based parameters on trees

    Directory of Open Access Journals (Sweden)

    Zou Yue

    2006-03-01

    Full Text Available Abstract Background It has become increasingly apparent that a comprehensive database of RNA motifs is essential in order to achieve new goals in genomic and proteomic research. Secondary RNA structures have frequently been represented by various modeling methods as graph-theoretic trees. Using graph theory as a modeling tool allows the vast resources of graphical invariants to be utilized to numerically identify secondary RNA motifs. The domination number of a graph is a graphical invariant that is sensitive to even a slight change in the structure of a tree. The invariants selected in this study are variations of the domination number of a graph. These graphical invariants are partitioned into two classes, and we define two parameters based on each of these classes. These parameters are calculated for all small order trees and a statistical analysis of the resulting data is conducted to determine if the values of these parameters can be utilized to identify which trees of orders seven and eight are RNA-like in structure. Results The statistical analysis shows that the domination based parameters correctly distinguish between the trees that represent native structures and those that are not likely candidates to represent RNA. Some of the trees previously identified as candidate structures are found to be "very" RNA like, while others are not, thereby refining the space of structures likely to be found as representing secondary RNA structure. Conclusion Search algorithms are available that mine nucleotide sequence databases. However, the number of motifs identified can be quite large, making a further search for similar motif computationally difficult. Much of the work in the bioinformatics arena is toward the development of better algorithms to address the computational problem. This work, on the other hand, uses mathematical descriptors to more clearly characterize the RNA motifs and thereby reduce the corresponding search space. These

  6. Towards a “Sample-In, Answer-Out” Point-of-Care Platform for Nucleic Acid Extraction and Amplification: Using an HPV E6/E7 mRNA Model System

    Directory of Open Access Journals (Sweden)

    Anja Gulliksen

    2012-01-01

    Full Text Available The paper presents the development of a “proof-of-principle” hands-free and self-contained diagnostic platform for detection of human papillomavirus (HPV E6/E7 mRNA in clinical specimens. The automated platform performs chip-based sample preconcentration, nucleic acid extraction, amplification, and real-time fluorescent detection with minimal user interfacing. It consists of two modular prototypes, one for sample preparation and one for amplification and detection; however, a common interface is available to facilitate later integration into one single module. Nucleic acid extracts (n=28 from cervical cytology specimens extracted on the sample preparation chip were tested using the PreTect HPV-Proofer and achieved an overall detection rate for HPV across all dilutions of 50%–85.7%. A subset of 6 clinical samples extracted on the sample preparation chip module was chosen for complete validation on the NASBA chip module. For 4 of the samples, a 100% amplification for HPV 16 or 33 was obtained at the 1 : 10 dilution for microfluidic channels that filled correctly. The modules of a “sample-in, answer-out” diagnostic platform have been demonstrated from clinical sample input through sample preparation, amplification and final detection.

  7. Bias in ligation-based small RNA sequencing library construction is determined by adaptor and RNA structure.

    Directory of Open Access Journals (Sweden)

    Ryan T Fuchs

    Full Text Available High-throughput sequencing (HTS has become a powerful tool for the detection of and sequence characterization of microRNAs (miRNA and other small RNAs (sRNA. Unfortunately, the use of HTS data to determine the relative quantity of different miRNAs in a sample has been shown to be inconsistent with quantitative PCR and Northern Blot results. Several recent studies have concluded that the major contributor to this inconsistency is bias introduced during the construction of sRNA libraries for HTS and that the bias is primarily derived from the adaptor ligation steps, specifically where single stranded adaptors are sequentially ligated to the 3' and 5'-end of sRNAs using T4 RNA ligases. In this study we investigated the effects of ligation bias by using a pool of randomized ligation substrates, defined mixtures of miRNA sequences and several combinations of adaptors in HTS library construction. We show that like the 3' adaptor ligation step, the 5' adaptor ligation is also biased, not because of primary sequence, but instead due to secondary structures of the two ligation substrates. We find that multiple secondary structural factors influence final representation in HTS results. Our results provide insight about the nature of ligation bias and allowed us to design adaptors that reduce ligation bias and produce HTS results that more accurately reflect the actual concentrations of miRNAs in the defined starting material.

  8. Reproducible Analysis of Sequencing-Based RNA Structure Probing Data with User-Friendly Tools.

    Science.gov (United States)

    Kielpinski, Lukasz Jan; Sidiropoulos, Nikolaos; Vinther, Jeppe

    2015-01-01

    RNA structure-probing data can improve the prediction of RNA secondary and tertiary structure and allow structural changes to be identified and investigated. In recent years, massive parallel sequencing has dramatically improved the throughput of RNA structure probing experiments, but at the same time also made analysis of the data challenging for scientists without formal training in computational biology. Here, we discuss different strategies for data analysis of massive parallel sequencing-based structure-probing data. To facilitate reproducible and standardized analysis of this type of data, we have made a collection of tools, which allow raw sequencing reads to be converted to normalized probing values using different published strategies. In addition, we also provide tools for visualization of the probing data in the UCSC Genome Browser and for converting RNA coordinates to genomic coordinates and vice versa. The collection is implemented as functions in the R statistical environment and as tools in the Galaxy platform, making them easily accessible for the scientific community. We demonstrate the usefulness of the collection by applying it to the analysis of sequencing-based hydroxyl radical probing data and comparing different normalization strategies. © 2015 Elsevier Inc. All rights reserved.

  9. lncRNATargets: A platform for lncRNA target prediction based on nucleic acid thermodynamics.

    Science.gov (United States)

    Hu, Ruifeng; Sun, Xiaobo

    2016-08-01

    Many studies have supported that long noncoding RNAs (lncRNAs) perform various functions in various critical biological processes. Advanced experimental and computational technologies allow access to more information on lncRNAs. Determining the functions and action mechanisms of these RNAs on a large scale is urgently needed. We provided lncRNATargets, which is a web-based platform for lncRNA target prediction based on nucleic acid thermodynamics. The nearest-neighbor (NN) model was used to calculate binging-free energy. The main principle of NN model for nucleic acid assumes that identity and orientation of neighbor base pairs determine stability of a given base pair. lncRNATargets features the following options: setting of a specific temperature that allow use not only for human but also for other animals or plants; processing all lncRNAs in high throughput without RNA size limitation that is superior to any other existing tool; and web-based, user-friendly interface, and colored result displays that allow easy access for nonskilled computer operators and provide better understanding of results. This technique could provide accurate calculation on the binding-free energy of lncRNA-target dimers to predict if these structures are well targeted together. lncRNATargets provides high accuracy calculations, and this user-friendly program is available for free at http://www.herbbol.org:8001/lrt/ .

  10. Ionization and fragmentation of DNA-RNA bases: a density functional theory study

    International Nuclear Information System (INIS)

    Sadr-Arani, Leila

    2014-01-01

    Ionizing radiation (IR) cross human tissue, deposit energy and dissipate fragmenting molecules. The resulting fragments may be highlighted by mass spectrometry. Despite the amount of information obtained experimentally by the interpretation of the mass spectrum, experience alone cannot answer all the questions of the mechanism of fragmentation of DNA/RNA bases and a theoretical study is a complement to this information. A theoretical study allows us to know the weakest bonds in the molecule during ionization and thus may help to provide mechanisms of dissociation and produced fragments. The purpose of this work, using the DFT with the PBE functional, is to study the ionization and fragmentation mechanisms of DNA/RNA bases (Uracil, Cytosine, Adenine and Guanine) and to identify the cations corresponding to each peak in mass spectra. For all RNA bases, the retro Diels-Alder reaction (elimination of HNCO or NCO*) is a major route for dissociating, with the exception of adenine for which there is no atom oxygen in its structure. Loss of NH 3 (NH 2 *) molecule is another common way to all bases that contain amine group. The possibility of the loss of hydrogen from the cations is also investigated, as well as the dissociation of dehydrogenated cations and protonated uracil. This work shows the interest of providing DFT calculation in the interpretation of mass spectra of DNA bases. (author)

  11. The Research of Disease Spots Extraction Based on Evolutionary Algorithm

    Directory of Open Access Journals (Sweden)

    Kangshun Li

    2017-01-01

    Full Text Available According to the characteristics of maize disease spot performance in the image, this paper designs two-histogram segmentation method based on evolutionary algorithm, which combined with the analysis of image of maize diseases and insect pests, with full consideration of color and texture characteristic of the lesion of pests and diseases, the chroma and gray image, composed of two tuples to build a two-dimensional histogram, solves the problem of one-dimensional histograms that cannot be clearly divided into target and background bimodal distribution and improved the traditional two-dimensional histogram application in pest damage lesion extraction. The chromosome coding suitable for the characteristics of lesion image is designed based on second segmentation of the genetic algorithm Otsu. Determining initial population with analysis results of lesion image, parallel selection, optimal preservation strategy, and adaptive mutation operator are used to improve the search efficiency. Finally, by setting the fluctuation threshold, we continue to search for the best threshold in the range of fluctuations for implementation of global search and local search.

  12. Secure Indoor Localization Based on Extracting Trusted Fingerprint.

    Science.gov (United States)

    Luo, Juan; Yin, Xixi; Zheng, Yanliu; Wang, Chun

    2018-02-05

    [-5]Indoor localization based on WiFi has attracted a lot of research effort because of the widespread application of WiFi. Fingerprinting techniques have received much attention due to their simplicity and compatibility with existing hardware. However, existing fingerprinting localization algorithms may not resist abnormal received signal strength indication (RSSI), such as unexpected environmental changes, impaired access points (APs) or the introduction of new APs. Traditional fingerprinting algorithms do not consider the problem of new APs and impaired APs in the environment when using RSSI. In this paper, we propose a secure fingerprinting localization (SFL) method that is robust to variable environments, impaired APs and the introduction of new APs. In the offline phase, a voting mechanism and a fingerprint database update method are proposed. We use the mutual cooperation between reference anchor nodes to update the fingerprint database, which can reduce the interference caused by the user measurement data. We analyze the standard deviation of RSSI, mobilize the reference points in the database to vote on APs and then calculate the trust factors of APs based on the voting results. In the online phase, we first make a judgment about the new APs and the broken APs, then extract the secure fingerprints according to the trusted factors of APs and obtain the localization results by using the trusted fingerprints. In the experiment section, we demonstrate the proposed method and find that the proposed strategy can resist abnormal RSSI and can improve the localization accuracy effectively compared with the existing fingerprinting localization algorithms.

  13. Analysis on the Physicochemical Properties of Ginkgo biloba Leaves after Enzymolysis Based Ultrasound Extraction and Soxhlet Extraction.

    Science.gov (United States)

    Zhang, Chang-Wei; Wang, Cheng-Zhang; Tao, Ran

    2016-01-15

    In this study, high performance liquid chromatography (HPLC), ultraviolet (UV), thermagravimetric analyzer (TGA), pyrolysis-gas chromatography-mass spectrometry (Py-GC-MS), and scanning electron microscope (SEM) were used as measurement techniques, contents of chemical composition, pyrolytic products, thermal stability, morphological characterization of Ginkgo biloba leaves (GBL) acted as the index, and physicochemical properties of GBL after enzymolysis based ultrasound extraction (EBUE) and Soxhlet extraction were studied. The detection results of chemical composition revealed that contents of general flavone, soluble protein, soluble total sugar and protein in the GBL declined significantly after EBUE, and contents of polyprenols and crude fat obviously reduced as well after Soxhlet extraction. Py-GC-MS results indicated that total GC contents of micromolecules with carbon less than 12 from 54.0% before EBUE decline to 8.34% after EBUE. Total GC contents of long-chain fatty acids with carbon less than 20 from 43.0% before EBUE reduced to 27.0% after Soxhlet extraction. Thermal stability results showed that GBL after Soxhlet extraction was easier to decompose than GBL before EBUE. SEM results illustrated that surface structure of GBL was damaged severely after EBUE, compared with GBL before EBUE, while organic solvent extraction had little influence on the morphological characterization of GBL after Soxhlet extraction compared with GBL after EBUE.

  14. Analysis on the Physicochemical Properties of Ginkgo biloba Leaves after Enzymolysis Based Ultrasound Extraction and Soxhlet Extraction

    Directory of Open Access Journals (Sweden)

    Chang-Wei Zhang

    2016-01-01

    Full Text Available In this study, high performance liquid chromatography (HPLC, ultraviolet (UV, thermagravimetric analyzer (TGA, pyrolysis-gas chromatography-mass spectrometry (Py-GC-MS, and scanning electron microscope (SEM were used as measurement techniques, contents of chemical composition, pyrolytic products, thermal stability, morphological characterization of Ginkgo biloba leaves (GBL acted as the index, and physicochemical properties of GBL after enzymolysis based ultrasound extraction (EBUE and Soxhlet extraction were studied. The detection results of chemical composition revealed that contents of general flavone, soluble protein, soluble total sugar and protein in the GBL declined significantly after EBUE, and contents of polyprenols and crude fat obviously reduced as well after Soxhlet extraction. Py-GC-MS results indicated that total GC contents of micromolecules with carbon less than 12 from 54.0% before EBUE decline to 8.34% after EBUE. Total GC contents of long-chain fatty acids with carbon less than 20 from 43.0% before EBUE reduced to 27.0% after Soxhlet extraction. Thermal stability results showed that GBL after Soxhlet extraction was easier to decompose than GBL before EBUE. SEM results illustrated that surface structure of GBL was damaged severely after EBUE, compared with GBL before EBUE, while organic solvent extraction had little influence on the morphological characterization of GBL after Soxhlet extraction compared with GBL after EBUE.

  15. A rapid and versatile combined DNA/RNA extraction protocol and its application to the analysis of a novel DNA marker set polymorphic between Arabidopsis thaliana ecotypes Col-0 and Landsberg erecta

    Directory of Open Access Journals (Sweden)

    Coupland George

    2005-08-01

    Full Text Available Abstract Background Many established PCR-based approaches in plant molecular biology rely on lengthy and expensive methods for isolation of nucleic acids. Although several rapid DNA isolation protocols are available, they have not been tested for simultaneous RNA isolation for RT-PCR applications. In addition, traditional map-based cloning technologies often use ill-proportioned marker regions even when working with the model plant Arabidopsis thaliana, where the availability of the full genome sequence can now be exploited for the creation of a high-density marker systems. Results We designed a high-density polymorphic marker set between two frequently used ecotypes. This new polymorphic marker set allows size separation of PCR products on agarose gels and provides an initial resolution of 10 cM in linkage mapping experiments, facilitated by a rapid plant nucleic acid extraction protocol using minimal amounts of A. thaliana tissue. Using this extraction protocol, we have also characterized segregating T-DNA insertion mutations. In addition, we have shown that our rapid nucleic acid extraction protocol can also be used for monitoring transcript levels by RT-PCR amplification. Finally we have demonstrated that our nucleic acid isolation method is also suitable for other plant species, such as tobacco and barley. Conclusion To facilitate high-throughput linkage mapping and other genomic applications, our nucleic acid isolation protocol yields sufficient quality of DNA and RNA templates for PCR and RT-PCR reactions, respectively. This new technique requires considerably less time compared to other purification methods, and in combination with a new polymorphic PCR marker set dramatically reduces the workload required for linkage mapping of mutations in A. thaliana utilizing crosses between Col-0 and Landsberg erecta (Ler ecotypes.

  16. Sequence-dependent base-stacking stabilities guide tRNA folding energy landscapes.

    Science.gov (United States)

    Li, Rongzhong; Ge, Heming W; Cho, Samuel S

    2013-10-24

    The folding of bacterial tRNAs with disparate sequences has been observed to proceed in distinct folding mechanisms despite their structural similarity. To explore the folding landscapes of tRNA, we performed ion concentration-dependent coarse-grained TIS model MD simulations of several E. coli tRNAs to compare their thermodynamic melting profiles to the classical absorbance spectra of Crothers and co-workers. To independently validate our findings, we also performed atomistic empirical force field MD simulations of tRNAs, and we compared the base-to-base distances from coarse-grained and atomistic MD simulations to empirical base-stacking free energies. We then projected the free energies to the secondary structural elements of tRNA, and we observe distinct, parallel folding mechanisms whose differences can be inferred on the basis of their sequence-dependent base-stacking stabilities. In some cases, a premature, nonproductive folding intermediate corresponding to the Ψ hairpin loop must backtrack to the unfolded state before proceeding to the folded state. This observation suggests a possible explanation for the fast and slow phases observed in tRNA folding kinetics.

  17. Polyphenolic extracts from cowpea (Vigna unguiculata) protect colonic myofibroblasts (CCD18Co cells) from lipopolysaccharide (LPS)-induced inflammation--modulation of microRNA 126.

    Science.gov (United States)

    Ojwang, Leonnard O; Banerjee, Nivedita; Noratto, Giuliana D; Angel-Morales, Gabriela; Hachibamba, Twambo; Awika, Joseph M; Mertens-Talcott, Susanne U

    2015-01-01

    Cowpea (Vigna unguiculata) is a drought tolerant crop with several agronomic advantages over other legumes. This study evaluated varieties from four major cowpea phenotypes (black, red, light brown and white) containing different phenolic profiles for their anti-inflammatory property on non-malignant colonic myofibroblasts (CCD18Co) cells challenged with an endotoxin (lipopolysaccharide, LPS). Intracellular reactive oxygen species (ROS) assay on the LPS-stimulated cells revealed antioxidative potential of black and red cowpea varieties. Real-time qRT-PCR analysis in LPS-stimulated cells revealed down-regulation of proinflammatory cytokines (IL-8, TNF-α, VCAM-1), transcription factor NF-κB and modulation of microRNA-126 (specific post-transcriptional regulator of VCAM-1) by cowpea polyphenolics. The ability of cowpea polyphenols to modulate miR-126 signaling and its target gene VCAM-1 were studied in LPS-stimulated endothelial cells transfected with a specific inhibitor of miR-126, and treated with 10 mg GAE/L black cowpea extract where the extract in part reversed the effect of the miR-126 inhibitor. This suggests that cowpea may exert their anti-inflammatory activities at least in part through induction of miR-126 that then down-regulate VCAM-1 mRNA and protein expressions. Overall, Cowpea therefore is promising as an anti-inflammatory dietary component.

  18. Glyoxals as in vivo RNA structural probes of guanine base-pairing.

    Science.gov (United States)

    Mitchell, David; Ritchey, Laura E; Park, Hongmarn; Babitzke, Paul; Assmann, Sarah M; Bevilacqua, Philip C

    2018-01-01

    Elucidation of the folded structures that RNA forms in vivo is vital to understanding its functions. Chemical reagents that modify the Watson-Crick (WC) face of unprotected nucleobases are particularly useful in structure elucidation. Dimethyl sulfate penetrates cell membranes and informs on RNA base-pairing and secondary structure but only modifies the WC face of adenines and cytosines. We present glyoxal, methylglyoxal, and phenylglyoxal as potent in vivo reagents that target the WC face of guanines as well as cytosines and adenines. Tests on rice ( Oryza sativa) 5.8S rRNA in vitro read out by reverse transcription and gel electrophoresis demonstrate specific modification of almost all guanines in a time- and pH-dependent manner. Subsequent in vivo tests on rice, a eukaryote, and Bacillus subtilis and Escherichia coli , Gram-positive and Gram-negative bacteria, respectively, showed that all three reagents enter living cells without prior membrane permeabilization or pH adjustment of the surrounding media and specifically modify solvent-exposed guanine, cytosine, and adenine residues. © 2018 Mitchell et al.; Published by Cold Spring Harbor Laboratory Press for the RNA Society.

  19. Fine-grained parallelism accelerating for RNA secondary structure prediction with pseudoknots based on FPGA.

    Science.gov (United States)

    Xia, Fei; Jin, Guoqing

    2014-06-01

    PKNOTS is a most famous benchmark program and has been widely used to predict RNA secondary structure including pseudoknots. It adopts the standard four-dimensional (4D) dynamic programming (DP) method and is the basis of many variants and improved algorithms. Unfortunately, the O(N(6)) computing requirements and complicated data dependency greatly limits the usefulness of PKNOTS package with the explosion in gene database size. In this paper, we present a fine-grained parallel PKNOTS package and prototype system for accelerating RNA folding application based on FPGA chip. We adopted a series of storage optimization strategies to resolve the "Memory Wall" problem. We aggressively exploit parallel computing strategies to improve computational efficiency. We also propose several methods that collectively reduce the storage requirements for FPGA on-chip memory. To the best of our knowledge, our design is the first FPGA implementation for accelerating 4D DP problem for RNA folding application including pseudoknots. The experimental results show a factor of more than 50x average speedup over the PKNOTS-1.08 software running on a PC platform with Intel Core2 Q9400 Quad CPU for input RNA sequences. However, the power consumption of our FPGA accelerator is only about 50% of the general-purpose micro-processors.

  20. A DNA sequence obtained by replacement of the dopamine RNA aptamer bases is not an aptamer.

    Science.gov (United States)

    Álvarez-Martos, Isabel; Ferapontova, Elena E

    2017-08-05

    A unique specificity of the aptamer-ligand biorecognition and binding facilitates bioanalysis and biosensor development, contributing to discrimination of structurally related molecules, such as dopamine and other catecholamine neurotransmitters. The aptamer sequence capable of specific binding of dopamine is a 57 nucleotides long RNA sequence reported in 1997 (Biochemistry, 1997, 36, 9726). Later, it was suggested that the DNA homologue of the RNA aptamer retains the specificity of dopamine binding (Biochem. Biophys. Res. Commun., 2009, 388, 732). Here, we show that the DNA sequence obtained by the replacement of the RNA aptamer bases for their DNA analogues is not able of specific biorecognition of dopamine, in contrast to the original RNA aptamer sequence. This DNA sequence binds dopamine and structurally related catecholamine neurotransmitters non-specifically, as any DNA sequence, and, thus, is not an aptamer and cannot be used neither for in vivo nor in situ analysis of dopamine in the presence of structurally related neurotransmitters. Copyright © 2017 Elsevier Inc. All rights reserved.

  1. Structural analysis of base substitutions in Thermus thermophilus 16S rRNA conferring streptomycin resistance.

    Science.gov (United States)

    Demirci, Hasan; Murphy, Frank V; Murphy, Eileen L; Connetti, Jacqueline L; Dahlberg, Albert E; Jogl, Gerwald; Gregory, Steven T

    2014-08-01

    Streptomycin is a bactericidal antibiotic that induces translational errors. It binds to the 30S ribosomal subunit, interacting with ribosomal protein S12 and with 16S rRNA through contacts with the phosphodiester backbone. To explore the structural basis for streptomycin resistance, we determined the X-ray crystal structures of 30S ribosomal subunits from six streptomycin-resistant mutants of Thermus thermophilus both in the apo form and in complex with streptomycin. Base substitutions at highly conserved residues in the central pseudoknot of 16S rRNA produce novel hydrogen-bonding and base-stacking interactions. These rearrangements in secondary structure produce only minor adjustments in the three-dimensional fold of the pseudoknot. These results illustrate how antibiotic resistance can occur as a result of small changes in binding site conformation. Copyright © 2014, American Society for Microbiology. All Rights Reserved.

  2. Development of new extraction method based on liquid-liquid-liquid extraction followed by dispersive liquid-liquid microextraction for extraction of three tricyclic antidepressants in plasma samples.

    Science.gov (United States)

    Farajzadeh, Mir Ali; Abbaspour, Maryam

    2018-03-27

    In the present study, a new extraction method based on a three-phase system liquid-liquid-liquid extraction followed by dispersive liquid-liquid microextraction has been developed and validated for the extraction and preconcentration of three commonly prescribed tricyclic antidepressant drugs including amitriptyline, imipramine, and clomipramine in human plasma prior to their analysis by gas chromatography-flame ionization detection. Three phases are an aqueous phase (plasma), acetonitrile, and n-hexane. The extraction mechanism is based on the different affinities of components of the biological sample (lipids, fatty acids, pharmaceuticals, inorganic ions, etc.) towards each of the involved phase. This provides high selectivity towards the analytes since most interferences are transferred into n-hexane. In this procedure, a homogeneous solution of the aqueous phase (plasma) and acetonitrile (water-soluble extraction solvent) is broken by adding sodium sulfate (as a phase separating agent) and the analytes are extracted into the fine droplets of the formed acetonitrile. In the following, acetonitrile phase is mixed with 1,2-dibromoethane (as a preconcentration solvent at μL-level) and then the microextraction procedure mentioned above is performed for further enrichment of the analytes. Under the optimum extraction conditions, limits of detection and lower limits of quantification for the analytes were obtained in the ranges of 0.001-0.003 and 0.003-0.010 μg mL -1 , respectively. The obtained extraction recoveries were in the range of 79-98%. Intra- and inter-day precisions were less than 7.5%. The validated method was successfully applied for determination of the selected drugs in human plasma samples obtained from the patients who received them. This article is protected by copyright. All rights reserved.

  3. Model-based Optimization of Pectin Extraction Process

    DEFF Research Database (Denmark)

    Kim, Boeun; André Fernandes Caroço, Ricardo; Huusom, Jakob Kjøbsted

    2017-01-01

    of esterification (DE) and intrinsic viscosity (IV). However, since there is a trade-off between the pectin yield and quality, it becomes a challenge to decide the extraction condition using heuristic approaches. In this study, we propose a strategy for an operation optimization of the pectin extraction process...

  4. Extraction of alkaloids for NMR-based profiling

    DEFF Research Database (Denmark)

    Yilmaz, Ali; Nyberg, Nils; Jaroszewski, Jerzy W.

    2012-01-01

    A museum collection of Cinchona cortex samples (n = 117), from the period 1850–1950, were extracted with a mixture of chloroform-d1, methanol-d4, water-d2, and perchloric acid in the ratios 5:5:1:1. The extracts were directly analyzed using 1H NMR spectroscopy (600 MHz) and the spectra evaluated ...

  5. Sample-based XPath Ranking for Web Information Extraction

    NARCIS (Netherlands)

    Jundt, Oliver; van Keulen, Maurice

    Web information extraction typically relies on a wrapper, i.e., program code or a configuration that specifies how to extract some information from web pages at a specific website. Manually creating and maintaining wrappers is a cumbersome and error-prone task. It may even be prohibitive as some

  6. BEaST: brain extraction based on nonlocal segmentation technique

    NARCIS (Netherlands)

    Eskildsen, Simon F.; Coupé, Pierrick; Fonov, Vladimir; Manjón, José V.; Leung, Kelvin K.; Guizard, Nicolas; Wassef, Shafik N.; Østergaard, Lasse Riis; Collins, D. Louis; Saradha, A.; Abdi, Hervé; Abdulkadir, Ahmed; Acharya, Deepa; Achuthan, Anusha; Adluru, Nagesh; Aghajanian, Jania; Agrusti, Antonella; Agyemang, Alex; Ahdidan, Jamila; Ahmad, Duaa; Ahmed, Shiek; Aisen, Paul; Akhondi-Asl, Alireza; Aksu, Yaman; Alberca, Roman; Alcauter, Sarael; Alexander, Daniel; Alin, Aylin; Almeida, Fabio; Alvarez-Linera, Juan; Amlien, Inge; Anand, Shyam; Anderson, Dallas; Ang, Amma; Angersbach, Steve; Ansarian, Reza; Aoyama, Eiji; Appannah, Arti; Arfanakis, Konstantinos; Armor, Tom; Arrighi, Michael; Arumughababu, S. Vethanayaki; Arunagiri, Vidhya; Ashe-McNalley, Cody; Ashford, Wes; Le Page, Aurelie; Avants, Brian; Aviv, Richard; Awasthi, Sukrati; Ayache, Nicholas; Ayan-Oshodi, Mosun; Ayhan, Murat; Sumana, B. V.; Babic, Tomislav; Baek, Young; Bagepally, Bhavani; Baird, Geoffrey; Baker, John; Baker, Suzanne; Bakker, Arnold; Barbash, Shahar; Bard, Jonathan; Barker, Warren; Bartlett, Jonathan; Baruchin, Andrea; Battaglini, Iacopo; Bauer, Corinna; Bayley, Peter; Beck, Irene; Becker, James; Becker, J. Alex; Beckett, Laurel; Bednar, Martin; Bedner, Arkadiusz; Beg, Mirza Faisal; Bekris, Lynn; Belaroussi, Boubakeur; Belloch, Vicente; Belmokhtar, Nabil; Ben Ahmed, Olfa; Bender, J. Dennis; Benois-Pineau, Jenny; Bhaskar, Uday; Bienkowska, Katarzyna; Biffi, Alessandro; Bigler, Erin; Bilgic, Basar; Bishop, Courtney; Bittner, Daniel; Black, Sandra; Bloss, Cinnamon; Bocti, Christian; Bohorquez, Adriana; Bokde, Arun; Boone, John; Boppana, Madhu; Borrie, Michael; Bourgeat, Pierrick; Bouttout, Haroune; Bowes, Mike; Bowman, DuBois; Bowman, Gene; Bracard, Serge; Braskie, Meredith; Braunewell, Karl; Breitner, Joihn; Bresell, Anders; Brewer, James; Brickhouse, Michael; Brickman, Adam; Britschgi, Markus; Broadbent, Steve; Brogren, Jacob; Brunton, Simon; Buchsbaum, Monte; Buckley, Chris; Buerger, Katharina; Bunce, David; Burnham, Samantha; Burns, Jeffrey; Burton, David; Burzykowski, Tomasz; Butler, Tracy; Cabeza, Rafael; Caffery, Terrell; Cairns, Nigel; Callhoff, Johanna; Calvini, Piero; Carbotti, Angela; Carle, Adam; Carmasin, Jeremy; Carmichael, Owen; Carvalho, Janessa; Casabianca, Jodi; Casanova, Ramon; Casey, Anne; Cash, David; Cataldo, Rosella; Cedarbaum, Jesse; Cella, Massimo; Celsis, Pierre; Chakravarty, Mallar; Chang, Ih; Chao, Linda; Charil, Arnaud; Chang, Che-Wei; Chemali, Zeina; Chen, Kewei; Chen, Shuzhong; Chen, Rong; Chen, Qiang; Chen, Jung-Tai; Chen, Gang; Chen, Jake; Chen, Wei; Cheng, Wei-Chen; Cheng, Xi; Cherkas, Yauheniya; Chertkow, Howard; Cheung, Vinci; Cheung, Charlton; Chiang, Gloria; Chiao, Ping; chibane, Mouatez Billah; Chida, Noriko; Chin, Simon; Ching, Christopher; Chisholm, Jane; Cho, Claire; Cho, Youngsang; Choe, John; Choubey, Suresh; Chowbina, Sudhir; Christensen, Anette Luther; Ciocia, Gianluigi; Clark, David; Clark, Chris; Clarkson, Matt; Clerc, Stephanie; Clunie, David; Coen, Michael; Coimbra, Alexandre; Compton, David; Coppola, Giovanni; Coubard, Olivier; Coulin, Samuel; Cover, Keith S.; Crane, Paul; Crans, Gerald; Croop, Robert; Crowther, Daniel; Crum, William; Cui, Yue; Curry, Charles; Cutter, Gary; Da, Long; Daliri, Mohammad Reza; Damato, Vito Domenico; Darby, Eveleen; Darkner, Sune; Davatzikos, Christos; DavidPrakash, Bhaskaran; Davidson, Christopher; Davis, Melissa; de Bruijne, Marleen; de Meyer, Geert; de Nunzio, Giorgio; Decarli, Charles; Dechairo, Bryan; DeDuck, Kristina; Dehghan, Hossein; Delfino, Manuel; Della Rosa, Pasquale Anthony; Dellavedova, Luca; Delpassand, Ebrahim; Delrieu, Julien; DeOrchis, Vincent; Dépy Carron, Delphine; Desjardins, Benoit; deToledo-Morrell, Leyla; Devanand, Davangere; Devanarayan, Viswanath; Devier, Deidre; DeVous, Michael; Dgetluck, Nancy; Di, Jianing; Di, Xin; Diaz-Arrastia, Ramon; Dickerson, Bradford; Dickie, David Alexander; Dill, Vanderson; Ding, Xiaobo; Dinov, Ivo; Dobosh, Brian; Dobson, Howard; Dodge, Hiroko; Dolman, Andrew; Dolmo, Bess-Carolina; Donohue, Michael; Dore, Vincent; Dorflinger, Ernest; Dowling, Maritza; Dragicevic, Natasa; Dubal, Dena; Duchesne, Simon; Duff, Kevin; Dukart, Jürgen; Durazzo, Timothy; Dutta, Joyita; DWors, Robert; Earl, Nancy; Edula, Goutham; Elcoroaristizabal, Xabier; Emahazion, Tesfai; Endres, Christopher; Epstein, Noam; Ereshefsky, Larry; Eskildsen, Simon; Espinosa, Ana; Esposito, Mario; Ewers, Michael; Falcone, Guido; Fan, Yong; Fan, Jing; Fan, Lingzhong; Farahibozorg, Seyedehrezvan; Farb, Norman; Fardo, David; Farias, Sarah; Farnum, Michael; Farrer, Lindsay; Fatke, Bastian; Faux, Noel; Feldman, Howard; Feldman, Susan; Feldman, Betsy; Félix, Zandra; Fennema-Notestine, Christine; Fernandes, Michel; Fernandez, Elsa; Ferreira, Manuel Joao; Ferrer, Eugene; Fetterman, Bob; Figurski, Michal; Fillit, Howard; Finch, Stephen; Fiot, Jean-Baptiste; Flenniken, Derek; Fletcher, Evan; Flores, Christopher; Longmire, Crystal Flynn; Focke, Niels; Forman, Mark; Forsythe, Alan; Fox, Steven; Fox-Bosetti, Sabrina; Foxhall, Suzanne; Franko, Edit; Freeman, Roderick; Friedrich, Christoph M.; Friesenhahn, Michel; Frisoni, Giovanni; Fritzsche, Klaus; Fujimoto, Yoko; Fujiwara, Ken; Fullerton, Terence; Gaffour, Yacine; Galvin, Ben; Gamst, Anthony; Gao, Sujuan; Garg, Gaurav; Gaser, Christian; Gastineau, Edward; Gattaz, Wagner; Gaubert, Malo; Gauthier, Serge; Gavett, Brandon; Ge, Tian; Gemme, Gianluca; Geraci, Joseph; Gholipour, Farhad; Ghosh, Debashis; Ghosh, Satrajit; Gieschke, Ronald; Gill, Ryan; Gillespie, William; Gitelman, Darren; Gkontra, Xenia; Gleason, Carey; Glymour, M. Maria; Godbey, Michael; Gold, Brian; Goldberg, Terry; Goldman, Jennifer; Gonzalez-Beltran, Alejandra; Goodro, Robert; Gore, Chris; Gorriz, Juan Manuel; Goto, Masami; Grachev, Igor; Gradkowski, Wojciech; Grandey, Emily; Grasela, Thaddeus; Gray, Katherine; Greenberg, Barry; Greicius, Michael; Grill, Joshua; Gross, Alden; Gross, Alan; Grydeland, Håkon; Guignot, Isabelle; Guo, Qimiao; Guo, Linag-Hao; Guo, Hongbin; Gupta, Vinay; Guyot, Jennifer; Habeck, Christian; Habte, Frezghi; Haight, Thaddeus; Hajaj, Chen; Hajiesmaeili, Maryam; Hajjar, Ihab; Hammarstrom, Per; Hampel, Harald; Han, Duke; Han, Jian; Han, Zhaoying; Hanna, Yousef; Hao, Yongfu; Hardy, Peter; Harvey, Danielle; Hasan, Md Kamrul; Hayashi, Toshihiro; Haynes, John-Dylan; He, Huiguang; He, Yong; Head, Denise; Heckemann, Rolf; Heegaard, Niels; Heidebrink, Judith; Hellyer, Peter; Helwig, Michael; Henderson, David; Herholz, Karl; Herskovits, A. Zara; Hess, Christopher; Hildenbrand, Maike; Ming, Au Yeung Ho; Hobart, Jeremy; Hochstetler, Helen; Hofer, Scott; Hoffman, John; Holder, Daniel; Hollingworth, Paul; Holmes, Robin; Hong, Quan; Honigberg, Lee; Hope, Thomas; Hoppin, Jack; Hot, Pascal; Hou, Yangyang; Hsieh, Helen; Hsu, Ailing; Hu, Xiaochen; Hu, Mingxing; Hu, William; Hua, Wen-Yu; Huang, Shuai; Huang, Fude; Huang, Zihan; Huang, Chun-Jung; Huang, Chien-Chih; Huang, Juebin; Hubbard, Rebecca; Huentelman, Matthew; Huppertz, Hans-Jürgen; Hurko, Orest; Hurt, Stephen; Hutchins, Jim; Hwang, Scott; Hyun, JungMoon; Ifeachor, Emmanuel; Iglesias, Martina; Ikari, Yasuhiko; Ikonomidou, Vasiliki; Iman, Adjoudj; Imani, Farzin; Immermann, Fred; Inlow, Mark; Inoue, Lurdes; Insel, Philip; Irizarry, Michael; Ishibashi, Taro; Ishii, Kenji; Ismail, Sara; Ito, Kaori; Iturria-Medina, Yasser; Iwatsubo, Takeshi; Jacks, Adam; Jacobson, Mark; Jacqmin, Philippe; Jaffe, Carl; Jagust, William; Janousova, Eva; Jara, Hernan; Jasperse, Bas; Jedynak, Bruno; Jefferson, Angela; Jennings, J. Richard; Jenq, John; Jessen, Walter; Jia, Fucang; Jiang, Tianzi; Jiao, Yun; Jing, Huang; Johnson, Kent; Johnson, Sterling; Johnson, David K.; Johnson, Julene; Jones, Gareth; Jones, Mark; Jones, Richard; Joshi, Shantanu; Jouvent, Eric; Juengling, Freimut; Julin, Per; Junjie, Zhuo; Kabilan, Meena; Kadish, Bill; Kairui, Zhang; Kam, Hye Jin; Kamboh, M. Ilyas; Kamer, Angela; Kanakaraj, Sithara; Kanchev, Vladimir; Kaneko, Tomoki; Kaneta, Tomohiro; Kang, Hyunseok; Kang, Ju Hee; Kang, Jian; Karageorgiou, Elissaios; Karantzoulis, Stella; Karlawish, Jason; Katz, Elyse; Kaushik, Sandeep S.; Kauwe, John; Kawakami, Hirofumi; Kawashima, Shoji; Kaye, Edward; Kazemi, Samaneh; Ke, Han; Kelleher, Thomas; Kennedy, Richard; Keogh, Bart; Kerchner, Geoffrey; Kerr, Daniel; Keshava, Nirmal; Khalil, Iya; Khalil, Andre; Khondker, Zakaria; Kihara, Takeshi; Killeen, Neil; Killiany, Ron; Kim, Dajung; Kim, Hyoungkyu; Kim, Seongkyun; Kim, Jong Hun; Kim, Ana; Kim, Jung-Hyun; Kimberg, Daniel; Kimura, Tokunori; King, Richard; Kirby, Justin; Kirsch, Wolff; Klimas, Michael; Kline, Richard; Kling, Mitchel; Klopfenstein, Erin; Koen, Joshua; Koikkalainen, Juha; Kokomoor, Anders; Kong, Xiangnan; Koppel, Jeremy; Korolev, Igor; Kotran, Nickolas; Kowalczyk, Adam; Krahnke, Tillmann; Krams, Michael; Kuceyeski, Amy; Kuhl, Donald; Kumar, Vinod; Roy, P. Kumar; Kuo, Julie; Labrish, Catherine; Lai, Song; Lakatos, Anita; Lalonde, François; Lam, On Ki; Lampron, Antoine; Landau, Susan; Lane, Richard; Lane, Barton; Langbaum, Jessica; Langford, Dianne; Lanius, Vivian; Latella, Marco; Leahy, Richard; an Lee, Jong; Lee, Dongsoo; Lee, Noah; Lee, Sei; Lee, Doheon; Lee, Grace; Lefkimmiatis, Stamatis; Lemaitre, Herve; Lenfant, Pierre; Lenz, Robert; Leong, Josiah; Leoutsakos, Jeannie-Marie; Leung, Yuk Yee; Levey, Allan; Li, Rui; Li, Xiaodong; Li, Weidong; Li, Xiaobo; Li, Ming; Li, Lexin; Li, Jun; Li, Gang; Li, Quanzheng; Li, Yi; Li, Junning; Li, Jie; Li, Yue; Li, Shanshan; Liang, Kelvin; Liang, Kuchang; Liang, Peipeng; Liang, Lichen; Liao, Weiqi; Liaquat, Saad; Liberman, Gilad; Lin, Lan; Lin, Ai-Ling; Lin, Frank; Liu, Tao; Liu, Dazhong; Liu, Li; Liu, Honggang; Liu, Sidong; Liu, Tianming; Liu, Xiuwen; Liu, Sophia; Liu, Linda; Liu, Wei; Liu, Guodong; Liu, Yanping; Liu, Collins; Lo, Raymond; Lobanov, Victor; Lockhart, Andrew; Loewenstein, David; Logovinsky, Veronika; Long, Miaomiao; Long, Ziyi; Long, Xiaojing; Looi, Jeffrey; Lu, Huanxiang; Lu, Po-Haong; Lucena, Nathaniel; Lukas, Carsten; Lukic, Ana; Luo, Lei; Luo, Xiongjian; Luo, Xi; Lynch, John; Ma, Shen-Ming; Mackin, Scott; Mada, Marius; Madabhushi, Anant; Maglio, Silvio; Mahanta, Mohammad Shahin; Maikusa, Norihide; Maldjian, Joseph; Mandal, Indrajit; Manjon, Jose; Mantri, Ninad; Manzour, Amir; Marchewka, Artur; Marcus, Daniel; Margolin, Richard; Marrett, Sean; Marshall, Gad; Gonzalez, Alberto Martinez; Torteya, Antonio Martinez; Mather, Mara; Mathis, Chester; Mattei, Peter; Matthews, Dawn; McArdle, John; McCarroll, Steven; McEvoy, Linda; McGeown, William; McGinnis, Scott; McGonigle, John; McIntyre, John; McLaren, Donald; McQuail, Joseph; Meadowcroft, Mark; Meda, Shashwath; Melie-Garcia, Lester; Melrose, Rebecca; Mendelson, Alexander; Mendez, Mario; Menendez, Enrique; Meng, Meng; Meredith, Jere; Metti, Andrea; Meyer, Carsten; Mez, Jesse; Mickael, Guedj; Miftahof, Roustem; Mikula, Margit; Miller, Michael; Millikin, Colleen; Nintun, Mark; Mirza, Mubeena; Mistridis, Panagiota; Mitchell, Meghan; Mitsis, Effie; Mon, Anderson; Moore, Dana; Morabito, Francesco C.; Birgani, Parmida Moradi; Moratal, David; Morimoto, Bruce; Mormino, Elizabeth; Morris, Jill; Mortamet, Bénédicte; Moscato, Pablo; Mueller, Kathyrne; Mueller, Susanne; Mukherjee, Shubhabrata; Mulder, Emma; Mungas, Dan; Munir, Kamran; Murayama, Shigeo; Murphy, Michael; Myers, Amanda; Sairam, N.; Nagata, Ken; Nair, Anil; Nativio, Raffaella; Nazarparvar, Babak; Nazeri, Arash; Nejad, Leila; Nekooei, Sirous; Nettiksimmons, Jasmine; Neu, Scott; Ng, Yen-Bee; Nguyen, Nghi; Nichols, Thomas; Nicodemus, Kristin; Niecko, Timothy; Nielsen, Casper; Nishio, Tomoyuki; Nordstrom, Matthew; Noshad, Sina; Notomi, Keiji; Novak, Nic; Nutakki, Gopi Chand; O'Bryant, Sid; Obisesan, Thomas; Oh, Joonmi; Okonkwo, Ozioma; Olde Rikkert, Marcel; Oliveira, Ailton; Oliveira, João; Oliver, Ruth; Olmos, Salvador; Oltra, Javier; Ortner, Marion; Osadebey, Michael; Ostrowitzki, Susanne; Overholser, Rosanna; Anishiya, P.; Chitra, P. K. A.; Pa, Judy; Palanisamy, Preethi; Pan, Sarah; Pan, Zhifang; Pande, Yogesh; Pardo, Jose; Pardoe, Heath; Park, Sang hyun; Park, Sujin; Park, Lovingly; Park, Hyunjin; Park, Moon Ho; Parker, Christopher; Patel, Yogen; Patil, Amol; Patil, Manasi; Pawlak, Mikolaj; Payoux, Pierre; Pearson, Jim; Pell, Gaby; Peng, Yahong; Pennec, Xavier; Pepin, Jean louis; Pereira, Francisco; Perneczky, Robert; Petitti, Diana; Petrella, Jeffrey; Peyrat, Jean-Marc; Ngoc, Phuong Trinh Pham; Phillips, Justin; Phillips, Nicole; Pian, Wen-ting; Pierson, Ronald; Piovezan, Mauro; Pipitone, Jon; Pirraglia, Elizabeth; Planes, Xavi; Podhorski, Adam; Pollari, Mika; Pomara, Nunzio; Pontecorvo, Michael; Popov, Veljko; Poppenk, Jordan; Posner, Holly; Potkin, Steven; Potter, Guy; Potter, Elizabeth; Poulin, Stephane; Prastawa, Marcel; Prince, Jerry; Priya, Anandh; Pruessner, Jens; Qiu, Wendy; Qu, Annie; Qualls, Constance Dean; Quarg, Peter; Quinlan, Judith; Rabbia, Michael; Rajagovindan, Rajasimhan; Rajeesh, Rajeesh; Rallabandi, V. 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Salama, Mahetab; Salazar, Diego; Salter, Hugh; Saman, Sudad; Sanchez, Luciano; Sanders, Elizabeth; Sankar, Tejas; Santhamma, Sindhumol; Sarnel, Haldun; Sasaki, Toshiaki; Sasaya, Tenta; Sato, Hajime; Sattlecker, Martina; Saumier, Daniel; Savio, Alexandre; Saykin, Andrew; Scanlon, Blake; Scharre, Douglas; Schegerin, Marc; Schmand, Ben; Schmansky, Nick; Schmidt-Wilcke, Tobias; Schramm, Hauke; Schuerch, Markus; Schwartz, Craig; Schwartz, Eben; Schwarz, Adam; Schwarz, John; Selnes, Per; Sembritzki, Klaus; Senjem, Matthew; Sevigny, Jeffrey; Sfikas, Giorgos; Sghedoni, Roberto; Shah, Said Khalid; Shahbaba, Babak; Shams, Soheil; Shankle, William; Shattuck, David; Shaw, Leslie; Sheela, Jaba; Shen, Jie; Shen, Qi; Shen, Weijia; Shen, Qian; Shera, David; Sherman, John; Sherva, Richard; Shi, Jie; Shokouhi, Sepideh; Shukla, Vinay; Shulman, Joshua; Sideris, Konstantinos; Siegel, Rene; Silveira, Margarida; Silverman, Daniel; Sim, Ida; Simak, Alex; Simmons, Andy; Simoes, Rita; Simon, Adam; Simon, Melvin; Simpson, Ivor; Singh, Nikhil; Singh, Simer Preet; Sinha, Neelam; Siuciak, Judy; Sjögren, Niclas; Skinner, Jeannine; Smith, Michael; Smith, Charles; Smyth, Timothy; Snow, Sarah; Snyder, Peter; Soares, Holly; Soldan, Anja; Soldea, Octavian; Solomon, Alan; Solomon, Paul; Som, Subhojit; Song, Zhuang; Song, Shide; Sosova, Iveta; Soydemir, Melih; Spampinato, Maria Vittoria; Speier, William; Sperling, Reisa; Spiegel, Renãâ; Spies, Lothar; Springate, Beth; Staff, Roger; Steffener, Jason; Stern, Yaakov; Stokman, Harro; Straw, Jack; Stricker, Nikki; Stühler, Elisabeth; Styren, Scot; Subramanian, Vijayalakshmi; Suen, Summit; Sugishita, Morihiro; Sukkar, Rafid; Sun, Ying; Sun, Jia; Sun, Yu; Sundell, Karen; Suzuki, Akiyuki; Svetnik, Vladimir; Swan, Melanie; Symons, Sean; Szigeti, Kinga; Szoeke, Cassandra; Sørensen, Lauge; Genish, T.; Takahasi, Tetsuhiko; Takeuchi, Tomoko; Tanaka, Rie; Tanchi, Chaturaphat; Tancredi, Daniel; Tang, Qi; Tarnow, Eugen; Tartaglia, Maria Carmela; Tarver, Erika; Tassy, Dominique; Tauber, Clovis; Taylor-Reinwald, Lisa; Teipel, Stefan; Teng, Edmond; Terriza, Felipe; Thambisetty, Madhav; Thames, April; Thatavarti, Raja Sekhar; Thiele, Frank; Thomas, Ronald; Thomas, Benjamin; Thomas, Charlene; Thompson, Wesley; Thompson, Paul; Thornton-Wells, Tricia; Thorvaldsson, Valgeir; Thurfjell, Lennart; Tokuda, Takahiko; Toledo, Juan B.; Tölli, Tuomas; Toma, Ahmed; Tomita, Naoki; Toro, Roberto; Torrealdea, Patxi; Tosto, Giuseppe; Tosun, Duygu; Tousian, Mona; Toussaint, Paule; Toyoshiba, Hiroyoshi; Tractenberg, Rochelle E.; Triggs, Tyler; Trittschuh, Emily; Trojanowski, John; Trotta, Gabriele; Huu, Tram Truong; Truran, Diana; Tsanas, Athanasios; Tsang, Candy; Tufail, Ahsan; Tung, Joyce; Turken, And; Ueda, Yoji; Uematsu, Daisuke; Ullrich, Lauren; Venkataraju, Kannan Umadevi; Umar, Nisser; Ungar, Leo; Uzunbas, Gokhan; van de Nes, Joseph; van der Brug, Marcel; van der Lijn, Fedde; van Hecke, Wim; van Horn, John; van Leemput, Koen; van Train, Kenneth; Varkuti, Balint; Vasanawala, Minal; Veeraraghavan, Harini; Vemuri, Prashanthi; Verma, Manish; Videbaek, Charlotte; Vidoni, Eric; Villanueva-Meyer, Javier; Vinyes, Georgina; Visser, Pieter Jelle; Vitek, Michael; Vogel, Simon; Voineskos, Aristotle; Vos, Stephanie; Vounou, Maria; Wade, Sara; Walsh, Alexander; Wan, Hong; Wang, Tianyao; Wang, Yongmei Michelle; Wang, Wei; Wang, Angela; Wang, Song; Wang, Lubin; Wang, Li; Wang, Yaping; Wang, Li-San; Wang, Lei; Wang, Alex; Wang, Yu; Wang, Xu; Wang, Ze; Wang, Tiger; Ward, Michael; Ward, Andrew; Watanabe, Toshiyuki; Watson, David; Webb, David; Wefel, Jeffrey; Weiner, Michael; Westlye, Lars T.; Wheland, David; Whitcher, Brandon; White, Brooke; Whitlow, Christopher; Wilhelmsen, Kirk; Wilmot, Beth; Wilson, Lorraine; Wimsatt, Matt; Wingo, Thomas; Wirth, Miranka; Wishart, Heather; Wiste, Heather; Wolf, Henrike; Wolke, Ira; Wolz, Robin; Wong, Koon; Woo, Jongwook; Woo, Ellen; Woods, Lynn; Worth, Andrew; Wu, Yanjun; Wu, Liang; Wu, Ellen; Wyman, Bradley; Xiao, Guanghua; Xie, Sharon; Xu, Jun; Xu, Guofan; Xu, Steven; Xu, Shunbin; Xu, Ye; Xu, Yi-Zheng; Yamada, Tomoko; Yamashita, Fumio; Yan, Pingkun; Yan, Yunyi; Yang, Guang; Yang, Wenlu; Yang, Eric; Yang, Hyun Duk; Yang, Jinzhong; Yang, Chung-Yi; Yang, Zijiang; Yang, Edward; Yassa, Michael; Yavorsky, Christian; Ye, Byoung Seok; Ye, Liang; Ye, Jong; Yee, Laura; Ying, Song; Yokoyama, Takao; Young, Stewart; Young, Jonathan; Younhyun, Jung; Yu, Dongchuan; Yu, Shiwei; Yu, C. Q.; Yu, Peng; Yuan, Ying; Yuan, Guihong; Yuan, Kai; Yuen, Bob; Yushkevich, Paul; Zaborszky, Laszlo; Zagorodnov, Vitali; Zagorski, Michael; Zahodne, Laura; Zarei, Mojtaba; Zawadzki, Rezi; Zeitzer, Jamie; Zelinski, Elizabeth; Zeskind, Benjamin; Zhan, Shu; Zhang, Jing; Zhang, Lijun; Zhang, Zhiguo; Zhang, Linda; Zhang, Zhe; Zhang, Daoqiang; Zhang, Huixiong; Zhang, Xin; Zhang, Tianhao; Zhang, Ping; Zhao, Jim; Zhao, Qinying; Zhao, Peng; Zhen, Xiantong; Zhijun, Yao; Zhou, Luping; Zhou, Bin; Zhou, Yongxia; Zhou, Sheng; Zhu, Hongtu; Zhu, Wen; Zhu, Wanlin; Zhu, Xuyan; Ziegler, Gabriel; Zilka, Samantha; Zisserman, Andrew; Zito, Giancarlo; Zu, Chen; Zulfigar, Annam

    2012-01-01

    Brain extraction is an important step in the analysis of brain images. The variability in brain morphology and the difference in intensity characteristics due to imaging sequences make the development of a general purpose brain extraction algorithm challenging. To address this issue, we propose a

  7. Ionic Liquid-Based Ultrasonic/Microwave-Assisted Extraction of ...

    African Journals Online (AJOL)

    Conclusion: Compared with traditional methods, IL-UMAE method uses Ionic liquid-solvent which greatly shortens the extraction time. IL-UMAE as a simple, effective and environmentally friendly approach shows a broad prospect for active ingredient extraction. Keywords: Dioscorea zingiberensis Steroidal saponins, Ionic ...

  8. The development of simple field based procedures for extraction of ...

    African Journals Online (AJOL)

    Field and laboratory experiments were conducted to develop procedures for extracting volatiles from the vine of Adenia cissampeloides which could effect the highest yield at the lowest extraction costs and also could be produced at the cottage industry level. The participatory rural appraisal technique was used to ensure ...

  9. Non-Watson-Crick base pairing and hydration in RNA motifs: molecular dynamics of 5S rRNA loop E

    Czech Academy of Sciences Publication Activity Database

    Réblová, K.; Špačková, Naďa; Koča, J.; Leontis, N. B.; Šponer, Jiří

    2003-01-01

    Roč. 20, č. 6 (2003), s. 986 ISSN 0739-1102. [Albany 2003: Conversation 13. 17.06.2003-21.06.2003, Albany] Institutional research plan: CEZ:AV0Z5004920 Keywords : non- Watson -Crick base pairs * Loop E * RNA Subject RIV: BO - Biophysics

  10. Text feature extraction based on deep learning: a review.

    Science.gov (United States)

    Liang, Hong; Sun, Xiao; Sun, Yunlei; Gao, Yuan

    2017-01-01

    Selection of text feature item is a basic and important matter for text mining and information retrieval. Traditional methods of feature extraction require handcrafted features. To hand-design, an effective feature is a lengthy process, but aiming at new applications, deep learning enables to acquire new effective feature representation from training data. As a new feature extraction method, deep learning has made achievements in text mining. The major difference between deep learning and conventional methods is that deep learning automatically learns features from big data, instead of adopting handcrafted features, which mainly depends on priori knowledge of designers and is highly impossible to take the advantage of big data. Deep learning can automatically learn feature representation from big data, including millions of parameters. This thesis outlines the common methods used in text feature extraction first, and then expands frequently used deep learning methods in text feature extraction and its applications, and forecasts the application of deep learning in feature extraction.

  11. The use of 125iodine-labeled RNA for detection of the RNA binding to ribosomes

    International Nuclear Information System (INIS)

    Mori, Tomohiko; Fukuda, Mitsuru

    1975-01-01

    The in vitro labeling of RNA with radioactive iodine is the efficient method to obtain the RNA with high specific activity. The present paper reports on the application of this technique to the production of iodine-labeled RNA for use in the experiment of binding RNA to ribosomes. Tobacco mosaic virus (TMV) RNA was used as natural mRNA, and E. coli S-30 preparation was used as a source of ribosomes. The TMV-RNA was prepared by bentonite-phenol extraction from TMV, and the method used for the iodation of RNA was based on the procedure described by Getz et al. The iodine-labeled RNA was incubated in a cell-free protein synthesizing system (S-30) prepared from E. coli K-12. After the incubation, the reaction mixture was layered onto sucrose gradient, centrifuged, and fractionated into 18 fractions. Optical density at 260 nm was measured, and radioactivity was counted, for each fraction. The binding of mRNA to ribosomes occurred even at 0 deg C, and the occurrence of the nonspecific binding was also shown. Consequently, the specific binding, i.e. the formation of the initiation complex being involved in amino acid incorporation, may be estimated by subtracting the radioactivity associated with monosomes in the presence of both rRNA and ATA from that in the presence of rRNA only. It was shown that the iodine-labeled RNA can be used for the studies of binding RNA to ribosomes. (Kako, I.)

  12. Bottleneck limitations for microRNA-based therapeutics from bench to the bedside.

    Science.gov (United States)

    Chen, Yan; Zhao, Hongliang; Tan, Zhijun; Zhang, Cuiping; Fu, Xiaobing

    2015-03-01

    MicroRNAs are endogenous non-coding small RNAs that repress expression of a broad array of target genes. Research into the role and underlying molecular events of microRNAs in disease processes and the potential of microRNAs as drug targets has expanded rapidly. Significant advances have been made in identifying the associations of microRNAs with cancers, viral infections, immune diseases, cardiovascular diseases, wound healing, biological development and other areas of medicine. However, because of intense competition and financial risks, there is a series of stringent criteria and conditions that must be met before microRNA-based therapeutics could be pursued as new drug candidates. In this review, we specifically emphasized the obstacles for bench-based microRNA to the bedside, including common barriers in basic research, application limitations while moving to the clinic at the aspects of vector delivery, off-target effects, toxicity mediation, immunological activation and dosage determination, which should be overcome before microRNA-based therapeutics take their place in the clinic.

  13. Evolutionary patterns of RNA-based duplication in non-mammalian chordates.

    Directory of Open Access Journals (Sweden)

    Ming Chen

    Full Text Available The role of RNA-based duplication, or retroposition, in the evolution of new gene functions in mammals, plants, and Drosophila has been widely reported. However, little is known about RNA-based duplication in non-mammalian chordates. In this study, we screened ten non-mammalian chordate genomes for retrocopies and investigated their evolutionary patterns. We identified numerous retrocopies in these species. Examination of the age distribution of these retrocopies revealed no burst of young retrocopies in ancient chordate species. Upon comparing these non-mammalian chordate species to the mammalian species, we observed that a larger fraction of the non-mammalian retrocopies was under strong evolutionary constraints than mammalian retrocopies are, as evidenced by signals of purifying selection and expression profiles. For the Western clawed frog, Medaka, and Sea squirt, many retrogenes have evolved gonad and brain expression patterns, similar to what was observed in human. Testing of retrogene movement in the Medaka genome, where the nascent sex chrosomes have been well assembled, did not reveal any significant gene movement. Taken together, our analyses demonstrate that RNA-based duplication generates many functional genes and can make a significant contribution to the evolution of non-mammalian genomes.

  14. Two approaches for applet-based visible human slice extraction

    Science.gov (United States)

    Gerlach, Sebastian; Hersch, Roger D.

    2001-12-01

    Real-time interactive slicing is a tool of choice for exploring 3D anatomic data sets such as the Visible Human. We offer real-time slicing on the Web by partitioning the application between a Java applet (the client) and the Web server. Two approaches for partitioning the work between the client and the server are presented and compared. In the first approach, we transfer complete compressed slices from the server to the client. In the second approach, we successively build a local cache on the client by transferring small subvolumes of increasing resolution from the server to the client. The client is responsible for extracting the displayed slices from the local data cache. The Web-based Real-time Visible Human navigator can be accessed at our Visible Human Web site at http://visiblehuman.epfl.ch. A high-bandwidth network connection is recommended. The web server offering real-time interactive slicing together with anatomic structure labeling opens new perspectives for teaching anatomy to paramedical and medical professions.

  15. Fluorine NMR-based screening on cell membrane extracts.

    Science.gov (United States)

    Veronesi, Marina; Romeo, Elisa; Lambruschini, Chiara; Piomelli, Daniele; Bandiera, Tiziano; Scarpelli, Rita; Garau, Gianpiero; Dalvit, Claudio

    2014-02-01

    The possibility of measuring the action of inhibitors of specific enzymatic reactions in intact cells, cell lysates or membrane preparations represents a major advance in the lead discovery process. Despite the relevance of assaying in physiological conditions, only a small number of biophysical techniques, often requiring complex set-up, are applicable to these sample types. Here, we demonstrate the first application of n-fluorine atoms for biochemical screening (n-FABS), a homogeneous and versatile assay based on (19) F NMR spectroscopy, to the detection of high- and low-affinity inhibitors of a membrane enzyme in cell extracts and determination of their IC50 values. Our approach can allow the discovery of novel binding fragments against targets known to be difficult to purify or where membrane-association is required for activity. These results pave the way for future applications of the methodology to these relevant and complex biological systems. Copyright © 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

  16. Artificial terraced field extraction based on high resolution DEMs

    Science.gov (United States)

    Na, Jiaming; Yang, Xin; Xiong, Liyang; Tang, Guoan

    2017-04-01

    With the increase of human activities, artificial landforms become one of the main terrain features with special geographical and hydrological value. Terraced field, as the most important artificial landscapes of the loess plateau, plays an important role in conserving soil and water. With the development of digital terrain analysis (DTA), there is a current and future need in developing a robust, repeatable and cost-effective research methodology for terraced fields. In this paper, a novel method using bidirectional DEM shaded relief is proposed for terraced field identification based on high resolution DEM, taking Zhifanggou watershed, Shannxi province as the study area. Firstly, 1m DEM is obtained by low altitude aerial photogrammetry using Unmanned Aerial Vehicle (UAV), and 0.1m DOM is also obtained as the test data. Then, the positive and negative terrain segmentation is done to acquire the area of terraced field. Finally, a bidirectional DEM shaded relief is simulated to extract the ridges of each terraced field stages. The method in this paper can get not only polygon feature of the terraced field areas but also line feature of terraced field ridges. The accuracy is 89.7% compared with the artificial interpretation result from DOM. And additional experiment shows that this method has a strong robustness as well as high accuracy.

  17. Dissection of functional lncRNAs in Alzheimer's disease by construction and analysis of lncRNA-mRNA networks based on competitive endogenous RNAs.

    Science.gov (United States)

    Wang, Lian-Kun; Chen, Xiao-Feng; He, Dan-Dan; Li, You; Fu, Jin

    2017-04-08

    Alzheimer's disease (AD) is a neurodegenerative disorder that is the most common cause of dementia in the elderly, and intracellular neurofibrillary tangles (NFTs) are one of the pathological features of AD. Recent studies have suggested long noncoding RNAs (lncRNAs) play important roles in AD. Competing endogenous RNAs (ceRNAs) is a mechanism that has recently been proposed, in which lncRNAs compete for common miRNA-binding sites with mRNAs. However, the roles of lncRNAs and ceRNA in AD NFTs is limited. In this study, we constructed a global triple network based on ceRNA theory, then an AD NFT lncRNA-mRNA network (NFTLMN) was generated. By analyzing the NFTLMN, three lncRNAs (AP000265.1, KB-1460A1.5 and RP11-145M9.4), which are highly related with AD NFTs were identified. To further explore the cross-talk between mRNAs and lncRNAs, a clustering module analysis was performed on the NFTLMN and two AD NFT related modules were identified. Our study provides a better understanding of the molecular basis of AD NFTs and may offer novel treatment strategies for AD. Copyright © 2016. Published by Elsevier Inc.

  18. Fast online and index-based algorithms for approximate search of RNA sequence-structure patterns

    Science.gov (United States)

    2013-01-01

    Background It is well known that the search for homologous RNAs is more effective if both sequence and structure information is incorporated into the search. However, current tools for searching with RNA sequence-structure patterns cannot fully handle mutations occurring on both these levels or are simply not fast enough for searching large sequence databases because of the high computational costs of the underlying sequence-structure alignment problem. Results We present new fast index-based and online algorithms for approximate matching of RNA sequence-structure patterns supporting a full set of edit operations on single bases and base pairs. Our methods efficiently compute semi-global alignments of structural RNA patterns and substrings of the target sequence whose costs satisfy a user-defined sequence-structure edit distance threshold. For this purpose, we introduce a new computing scheme to optimally reuse the entries of the required dynamic programming matrices for all substrings and combine it with a technique for avoiding the alignment computation of non-matching substrings. Our new index-based methods exploit suffix arrays preprocessed from the target database and achieve running times that are sublinear in the size of the searched sequences. To support the description of RNA molecules that fold into complex secondary structures with multiple ordered sequence-structure patterns, we use fast algorithms for the local or global chaining of approximate sequence-structure pattern matches. The chaining step removes spurious matches from the set of intermediate results, in particular of patterns with little specificity. In benchmark experiments on the Rfam database, our improved online algorithm is faster than the best previous method by up to factor 45. Our best new index-based algorithm achieves a speedup of factor 560. Conclusions The presented methods achieve considerable speedups compared to the best previous method. This, together with the expected

  19. An improved approach for flow-based cloud point extraction.

    Science.gov (United States)

    Frizzarin, Rejane M; Rocha, Fábio R P

    2014-04-11

    Novel strategies are proposed to circumvent the main drawbacks of flow-based cloud point extraction (CPE). The surfactant-rich phase (SRP) was directly retained into the optical path of the spectrophotometric cell, thus avoiding its dilution previously to the measurement and yielding higher sensitivity. Solenoid micro-pumps were exploited to improve mixing by the pulsed flow and also to modulate the flow-rate for retention and removal of the SRP, thus avoiding the elution step, often carried out with organic solvents. The heat released and the increase of the salt concentration provided by an on-line neutralization reaction were exploited to induce the cloud point without an external heating device. These innovations were demonstrated by the spectrophotometric determination of iron, yielding a linear response from 10 to 200 μg L(-1) with a coefficient of variation of 2.3% (n=7). Detection limit and sampling rate were estimated at 5 μg L(-1) (95% confidence level) and 26 samples per hour, respectively. The enrichment factor was 8.9 and the procedure consumed only 6 μg of TAN and 390 μg of Triton X-114 per determination. At the 95% confidence level, the results obtained for freshwater samples agreed with the reference procedure and those obtained for digests of bovine muscle, rice flour, brown bread and tort lobster agreed with the certified reference values. The proposed procedure thus shows advantages in relation to previously proposed approaches for flow-based CPE, being a fast and environmental friendly alternative for on-line separation and pre-concentration. Copyright © 2014 Elsevier B.V. All rights reserved.

  20. A nanocomposite/crude extract enzyme-based xanthine biosensor.

    Science.gov (United States)

    Sadeghi, Susan; Fooladi, Ebrahim; Malekaneh, Mohammad

    2014-11-01

    A novel amperometric biosensor for xanthine was developed based on covalent immobilization of crude xanthine oxidase (XOD) extracted from bovine milk onto a hybrid nanocomposite film via glutaraldehyde. Toward the preparation of the film, a stable colloids solution of core-shell Fe3O4/polyaniline nanoparticles (PANI/Fe3O4 NPs) was dispersed in solution containing chitosan (CHT) and H2PtCl6 and electrodeposited over the surface of a carbon paste electrode (CPE) in one step. Scanning electron microscopy (SEM), Fourier transform infrared (FTIR) spectrophotometry, cyclic voltammetry (CV), and electrochemical impedance spectroscopy (EIS) were used for characterization of the electrode surface. The developed biosensor (XOD/CHT/Pt NPs/PANI/Fe3O4/CPE) was employed for determination of xanthine based on amperometric detection of hydrogen peroxide (H2O2) reduction at -0.35V (vs. Ag/AgCl). The biosensor exhibited a fast response time to xanthine within 8s and a linear working concentration range from 0.2 to 36.0μM (R(2)=0.997) with a detection limit of 0.1μM (signal/noise [S/N]=3). The sensitivity of the biosensor was 13.58μAμM(-1)cm(-2). The apparent Michaelis-Menten (Km) value for xanthine was found to be 4.7μM. The fabricated biosensor was successfully applied for measurement of fish and chicken meat freshness, which was in agreement with the standard method at the 95% confidence level. Copyright © 2014 Elsevier Inc. All rights reserved.

  1. An albumin-mediated cholesterol design-based strategy for tuning siRNA pharmacokinetics and gene silencing

    DEFF Research Database (Denmark)

    Bienk, Konrad; Hvam, Michael Lykke; Pakula, Malgorzata Maria

    2016-01-01

    Major challenges for the clinical translation of small interfering RNA (siRNA) include overcoming the poor plasma half-life, site-specific delivery and modulation of gene silencing. In this work, we exploit the intrinsic transport properties of human serum albumin to tune the blood circulatory ha...... of 28% (rHSA/siRNA) compared to 4% (naked siRNA) 6 days post-injection. This work presents a novel albumin-mediated cholesteryl design-based strategy for tuning pharmacokinetics and systemic gene silencing....

  2. mRNA-based vaccines synergize with radiation therapy to eradicate established tumors

    International Nuclear Information System (INIS)

    Fotin-Mleczek, Mariola; Zanzinger, Kai; Heidenreich, Regina; Lorenz, Christina; Kowalczyk, Aleksandra; Kallen, Karl-Josef; Huber, Stephan M

    2014-01-01

    The eradication of large, established tumors by active immunotherapy is a major challenge because of the numerous cancer evasion mechanisms that exist. This study aimed to establish a novel combination therapy consisting of messenger RNA (mRNA)-based cancer vaccines and radiation, which would facilitate the effective treatment of established tumors with aggressive growth kinetics. The combination of a tumor-specific mRNA-based vaccination with radiation was tested in two syngeneic tumor models, a highly immunogenic E.G7-OVA and a low immunogenic Lewis lung cancer (LLC). The molecular mechanism induced by the combination therapy was evaluated via gene expression arrays as well as flow cytometry analyses of tumor infiltrating cells. In both tumor models we demonstrated that a combination of mRNA-based immunotherapy with radiation results in a strong synergistic anti-tumor effect. This was manifested as either complete tumor eradication or delay in tumor growth. Gene expression analysis of mouse tumors revealed a variety of substantial changes at the tumor site following radiation. Genes associated with antigen presentation, infiltration of immune cells, adhesion, and activation of the innate immune system were upregulated. A combination of radiation and immunotherapy induced significant downregulation of tumor associated factors and upregulation of tumor suppressors. Moreover, combination therapy significantly increased CD4 + , CD8 + and NKT cell infiltration of mouse tumors. Our data provide a scientific rationale for combining immunotherapy with radiation and provide a basis for the development of more potent anti-cancer therapies. The online version of this article (doi:10.1186/1748-717X-9-180) contains supplementary material, which is available to authorized users

  3. Social network extraction based on Web: 1. Related superficial methods

    Science.gov (United States)

    Khairuddin Matyuso Nasution, Mahyuddin

    2018-01-01

    Often the nature of something affects methods to resolve the related issues about it. Likewise, methods to extract social networks from the Web, but involve the structured data types differently. This paper reveals several methods of social network extraction from the same sources that is Web: the basic superficial method, the underlying superficial method, the description superficial method, and the related superficial methods. In complexity we derive the inequalities between methods and so are their computations. In this case, we find that different results from the same tools make the difference from the more complex to the simpler: Extraction of social network by involving co-occurrence is more complex than using occurrences.

  4. Identification of threats using linguistics-based knowledge extraction.

    Energy Technology Data Exchange (ETDEWEB)

    Chew, Peter A.

    2008-09-01

    One of the challenges increasingly facing intelligence analysts, along with professionals in many other fields, is the vast amount of data which needs to be reviewed and converted into meaningful information, and ultimately into rational, wise decisions by policy makers. The advent of the world wide web (WWW) has magnified this challenge. A key hypothesis which has guided us is that threats come from ideas (or ideology), and ideas are almost always put into writing before the threats materialize. While in the past the 'writing' might have taken the form of pamphlets or books, today's medium of choice is the WWW, precisely because it is a decentralized, flexible, and low-cost method of reaching a wide audience. However, a factor which complicates matters for the analyst is that material published on the WWW may be in any of a large number of languages. In 'Identification of Threats Using Linguistics-Based Knowledge Extraction', we have sought to use Latent Semantic Analysis (LSA) and other similar text analysis techniques to map documents from the WWW, in whatever language they were originally written, to a common language-independent vector-based representation. This then opens up a number of possibilities. First, similar documents can be found across language boundaries. Secondly, a set of documents in multiple languages can be visualized in a graphical representation. These alone offer potentially useful tools and capabilities to the intelligence analyst whose knowledge of foreign languages may be limited. Finally, we can test the over-arching hypothesis--that ideology, and more specifically ideology which represents a threat, can be detected solely from the words which express the ideology--by using the vector-based representation of documents to predict additional features (such as the ideology) within a framework based on supervised learning. In this report, we present the results of a three-year project of the same name. We believe

  5. Sequence-based discrimination of protein-RNA interacting residues using a probabilistic approach.

    Science.gov (United States)

    Pai, Priyadarshini P; Dash, Tirtharaj; Mondal, Sukanta

    2017-04-07

    Protein interactions with ribonucleic acids (RNA) are well-known to be crucial for a wide range of cellular processes such as transcriptional regulation, protein synthesis or translation, and post-translational modifications. Identification of the RNA-interacting residues can provide insights into these processes and aid in relevant biotechnological manipulations. Owing to their eventual potential in combating diseases and industrial production, several computational attempts have been made over years using sequence- and structure-based information. Recent comparative studies suggest that despite these developments, many problems are faced with respect to the usability, prerequisites, and accessibility of various tools, thereby calling for an alternative approach and perspective supplementation in the prediction scenario. With this motivation, in this paper, we propose the use of a simple-yet-efficient conditional probabilistic approach based on the application of local occurrence of amino acids in the interacting region in a non-numeric sequence feature space, for discriminating between RNA interacting and non-interacting residues. The proposed method has been meticulously tested for robustness using a cross-estimation method showing MCC of 0.341 and F- measure of 66.84%. Upon exploring large scale applications using benchmark datasets available to date, this approach showed an encouraging performance comparable with the state-of-art. The software is available at https://github.com/ABCgrp/DORAEMON. Copyright © 2017 Elsevier Ltd. All rights reserved.

  6. Double-stranded RNA transcribed from vector-based oligodeoxynucleotide acts as transcription factor decoy

    Energy Technology Data Exchange (ETDEWEB)

    Xiao, Xiao [State Key Laboratory of Cancer Biology and Xijing Hospital of Digestive Diseases, Xijing Hospital, Fourth Military Medical University, Xi’an 710032, Shaanxi Province (China); Gang, Yi [State Key Laboratory of Cancer Biology and Xijing Hospital of Digestive Diseases, Xijing Hospital, Fourth Military Medical University, Xi’an 710032, Shaanxi Province (China); Department of Infectious Diseases, Tangdu Hospital, Fourth Military Medical University, Xi’an 710038, Shaanxi Province (China); Wang, Honghong [No. 518 Hospital of Chinese People’s Liberation Army, Xi’an 710043, Shaanxi Province (China); Wang, Jiayin [The Genome Institute, Washington University in St. Louis, St. Louis, MO 63108 (United States); Zhao, Lina [Department of Radiation Oncology, Xijing Hospital, Fourth Military Medical University, Xi’an 710032, Shaanxi Province (China); Xu, Li, E-mail: lxuhelen@163.com [State Key Laboratory of Cancer Biology and Xijing Hospital of Digestive Diseases, Xijing Hospital, Fourth Military Medical University, Xi’an 710032, Shaanxi Province (China); Liu, Zhiguo, E-mail: liuzhiguo@fmmu.edu.cn [State Key Laboratory of Cancer Biology and Xijing Hospital of Digestive Diseases, Xijing Hospital, Fourth Military Medical University, Xi’an 710032, Shaanxi Province (China)

    2015-02-06

    Highlights: • A shRNA vector based transcription factor decoy, VB-ODN, was designed. • VB-ODN for NF-κB inhibited cell viability in HEK293 cells. • VB-ODN inhibited expression of downstream genes of target transcription factors. • VB-ODN may enhance nuclear entry ratio for its feasibility of virus production. - Abstract: In this study, we designed a short hairpin RNA vector-based oligodeoxynucleotide (VB-ODN) carrying transcription factor (TF) consensus sequence which could function as a decoy to block TF activity. Specifically, VB-ODN for Nuclear factor-κB (NF-κB) could inhibit cell viability and decrease downstream gene expression in HEK293 cells without affecting expression of NF-κB itself. The specific binding between VB-ODN produced double-stranded RNA and NF-κB was evidenced by electrophoretic mobility shift assay. Moreover, similar VB-ODNs designed for three other TFs also inhibit their downstream gene expression but not that of themselves. Our study provides a new design of decoy for blocking TF activity.

  7. MicroRNA-based Therapy in Animal Models of Selected Gastrointestinal Cancers

    Directory of Open Access Journals (Sweden)

    Jana Merhautova

    2016-09-01

    Full Text Available Gastrointestinal cancer accounts for the 20 most frequent cancer diseases worldwide and there is a constant urge to bring new therapeutics with new mechanism of action into the clinical practice. Quantity of in vitro and in vivo evidences indicate, that exogenous change in pathologically imbalanced microRNAs (miRNAs is capable of transforming the cancer cell phenotype. This review analyzed preclinical miRNA-based therapy attempts in animal models of gastric, pancreatic, gallbladder, and colorectal cancer. From more than 400 original articles, 26 was found to assess the effect of miRNA mimics, precursors, expression vectors, or inhibitors administered locally or systemically being an approach with relatively high translational potential. We have focused on mapping available information on animal model used (animal strain, cell line, xenograft method, pharmacological aspects (oligonucleotide chemistry, delivery system, posology, route of administration and toxicology assessments. We also summarize findings in the field pharmacokinetics and toxicity of miRNA-based therapy.□

  8. Double-stranded RNA transcribed from vector-based oligodeoxynucleotide acts as transcription factor decoy

    International Nuclear Information System (INIS)

    Xiao, Xiao; Gang, Yi; Wang, Honghong; Wang, Jiayin; Zhao, Lina; Xu, Li; Liu, Zhiguo

    2015-01-01

    Highlights: • A shRNA vector based transcription factor decoy, VB-ODN, was designed. • VB-ODN for NF-κB inhibited cell viability in HEK293 cells. • VB-ODN inhibited expression of downstream genes of target transcription factors. • VB-ODN may enhance nuclear entry ratio for its feasibility of virus production. - Abstract: In this study, we designed a short hairpin RNA vector-based oligodeoxynucleotide (VB-ODN) carrying transcription factor (TF) consensus sequence which could function as a decoy to block TF activity. Specifically, VB-ODN for Nuclear factor-κB (NF-κB) could inhibit cell viability and decrease downstream gene expression in HEK293 cells without affecting expression of NF-κB itself. The specific binding between VB-ODN produced double-stranded RNA and NF-κB was evidenced by electrophoretic mobility shift assay. Moreover, similar VB-ODNs designed for three other TFs also inhibit their downstream gene expression but not that of themselves. Our study provides a new design of decoy for blocking TF activity

  9. Evaluation of Sorghum bicolor leaf base extract for gastrointestinal ...

    African Journals Online (AJOL)

    macerated with 70% v/v methanol. The aqueous methanolic extract was further fractionated into non-polar, medium polar and very polar components using hexane, ethylacetate and water (aqueous), respectively. The gastrointestinal effects of these ...

  10. A compilation of Web-based research tools for miRNA analysis.

    Science.gov (United States)

    Shukla, Vaibhav; Varghese, Vinay Koshy; Kabekkodu, Shama Prasada; Mallya, Sandeep; Satyamoorthy, Kapaettu

    2017-09-01

    Since the discovery of microRNAs (miRNAs), a class of noncoding RNAs that regulate the gene expression posttranscriptionally in sequence-specific manner, there has been a release of number of tools useful for both basic and advanced applications. This is because of the significance of miRNAs in many pathophysiological conditions including cancer. Numerous bioinformatics tools that have been developed for miRNA analysis have their utility for detection, expression, function, target prediction and many other related features. This review provides a comprehensive assessment of web-based tools for the miRNA analysis that does not require prior knowledge of any computing languages. © The Author 2017. Published by Oxford University Press. All rights reserved. For permissions, please email: journals.permissions@oup.com.

  11. [TYPING OF LEPTOSPIRA SPP. STRAINS BASED ON 16S rRNA].

    Science.gov (United States)

    Ostankova, Yu V; Semenov, A V; Stoyanova, N A; Tokarevich, N K; Lyubimova, N E; Petrova, O A; Ananina, Yu V; Petrov, E M

    2016-01-01

    Comparative typing of Leptospira spp. strain collection based on analysis of 16S RNA fragment. 2 pairs of primers were used for PCR, that jointly flank 1423b.p. sized fragment. Sequences of Leptospira spp. strain 16S rRNA, presented in the international database, were used for phylogenetic analysis. A high similarity, including interspecies, of the 16S fragment in Leptospira spp. strains was shown independently of the source, serovar and serogroup. Heterogeneity of the primary matrix, spontaneous mutations of hotspots and erroneous nucleotide couplings, characteristic for 16S sequence of pathogenic Leptospira spp. strains, are discussed. Molecular-genetic characteristic of certain reference Leptospira spp. strains by 16S sequence is obtained. Results of the studies give evidence on expedience of introduction into clinical practice of identification of Leptospira spp. by 16S sequence directly from the clinical material, that would allow to significantly reduce identification time, dismiss complex type-specific sera and other labor-intensive methods.

  12. Messenger RNA transcripts

    Science.gov (United States)

    Dan Cullen

    2004-01-01

    In contrast to DNA, messenger RNA (mRNA) in complex substrata is rarely analyzed, in large part because labile RNA molecules are difficult to purify. Nucleic acid extractions from fungi that colonize soil are particularly difficult and plagued by humic substances that interfere with Taq polymerase (Tebbe and Vahjen 1993 and references therein). Magnetic capture...

  13. 16S rRNA gene-based profiling of the human infant gut microbiota is strongly influenced by sample processing and PCR primer choice.

    Science.gov (United States)

    Walker, Alan W; Martin, Jennifer C; Scott, Paul; Parkhill, Julian; Flint, Harry J; Scott, Karen P

    2015-01-01

    Characterisation of the bacterial composition of the gut microbiota is increasingly carried out with a view to establish the role of different bacterial species in causation or prevention of disease. It is thus essential that the methods used to determine the microbial composition are robust. Here, several widely used molecular techniques were compared to establish the optimal methods to assess the bacterial composition in faecal samples from babies, before weaning. The bacterial community profile detected in the faeces of infants is highly dependent on the methodology used. Bifidobacteria were the most abundant bacteria detected at 6 weeks in faeces from two initially breast-fed babies using fluorescent in situ hybridisation (FISH), in agreement with data from previous culture-based studies. Using the 16S rRNA gene sequencing approach, however, we found that the detection of bifidobacteria in particular crucially depended on the optimisation of the DNA extraction method, and the choice of primers used to amplify the V1-V3 regions of 16S rRNA genes prior to subsequent sequence analysis. Bifidobacteria were only well represented among amplified 16S rRNA gene sequences when mechanical disruption (bead-beating) procedures for DNA extraction were employed together with optimised "universal" PCR primers. These primers incorporate degenerate bases at positions where mismatches to bifidobacteria and other bacterial taxa occur. The use of a DNA extraction kit with no bead-beating step resulted in a complete absence of bifidobacteria in the sequence data, even when using the optimised primers. This work emphasises the importance of sample processing methodology to downstream sequencing results and illustrates the value of employing multiple approaches for determining microbiota composition.

  14. Analysis of energy-based algorithms for RNA secondary structure prediction.

    Science.gov (United States)

    Hajiaghayi, Monir; Condon, Anne; Hoos, Holger H

    2012-02-01

    RNA molecules play critical roles in the cells of organisms, including roles in gene regulation, catalysis, and synthesis of proteins. Since RNA function depends in large part on its folded structures, much effort has been invested in developing accurate methods for prediction of RNA secondary structure from the base sequence. Minimum free energy (MFE) predictions are widely used, based on nearest neighbor thermodynamic parameters of Mathews, Turner et al. or those of Andronescu et al. Some recently proposed alternatives that leverage partition function calculations find the structure with maximum expected accuracy (MEA) or pseudo-expected accuracy (pseudo-MEA) methods. Advances in prediction methods are typically benchmarked using sensitivity, positive predictive value and their harmonic mean, namely F-measure, on datasets of known reference structures. Since such benchmarks document progress in improving accuracy of computational prediction methods, it is important to understand how measures of accuracy vary as a function of the reference datasets and whether advances in algorithms or thermodynamic parameters yield statistically significant improvements. Our work advances such understanding for the MFE and (pseudo-)MEA-based methods, with respect to the latest datasets and energy parameters. We present three main findings. First, using the bootstrap percentile method, we show that the average F-measure accuracy of the MFE and (pseudo-)MEA-based algorithms, as measured on our largest datasets with over 2000 RNAs from diverse families, is a reliable estimate (within a 2% range with high confidence) of the accuracy of a population of RNA molecules represented by this set. However, average accuracy on smaller classes of RNAs such as a class of 89 Group I introns used previously in benchmarking algorithm accuracy is not reliable enough to draw meaningful conclusions about the relative merits of the MFE and MEA-based algorithms. Second, on our large datasets, the

  15. Analysis of energy-based algorithms for RNA secondary structure prediction

    Directory of Open Access Journals (Sweden)

    Hajiaghayi Monir

    2012-02-01

    Full Text Available Abstract Background RNA molecules play critical roles in the cells of organisms, including roles in gene regulation, catalysis, and synthesis of proteins. Since RNA function depends in large part on its folded structures, much effort has been invested in developing accurate methods for prediction of RNA secondary structure from the base sequence. Minimum free energy (MFE predictions are widely used, based on nearest neighbor thermodynamic parameters of Mathews, Turner et al. or those of Andronescu et al. Some recently proposed alternatives that leverage partition function calculations find the structure with maximum expected accuracy (MEA or pseudo-expected accuracy (pseudo-MEA methods. Advances in prediction methods are typically benchmarked using sensitivity, positive predictive value and their harmonic mean, namely F-measure, on datasets of known reference structures. Since such benchmarks document progress in improving accuracy of computational prediction methods, it is important to understand how measures of accuracy vary as a function of the reference datasets and whether advances in algorithms or thermodynamic parameters yield statistically significant improvements. Our work advances such understanding for the MFE and (pseudo-MEA-based methods, with respect to the latest datasets and energy parameters. Results We present three main findings. First, using the bootstrap percentile method, we show that the average F-measure accuracy of the MFE and (pseudo-MEA-based algorithms, as measured on our largest datasets with over 2000 RNAs from diverse families, is a reliable estimate (within a 2% range with high confidence of the accuracy of a population of RNA molecules represented by this set. However, average accuracy on smaller classes of RNAs such as a class of 89 Group I introns used previously in benchmarking algorithm accuracy is not reliable enough to draw meaningful conclusions about the relative merits of the MFE and MEA-based algorithms

  16. NIR light controlled photorelease of siRNA and its targeted intracellular delivery based on upconversion nanoparticles

    Science.gov (United States)

    Yang, Yanmei; Liu, Fang; Liu, Xiaogang; Xing, Bengang

    2012-12-01

    The most notable role of small interfering RNA (siRNA) is in RNA interference (RNAi) and post-transcriptional gene silencing, which leads to a surge of interest in RNAi for both biomedical research and therapeutic applications. However, ``naked'' siRNA cannot cross cellular membranes freely because of highly negative charges which limits its utility for gene therapy. In this work, a system of near-infrared (NIR) light-induced siRNA release from silica coated upconversion nanoparticles (Si-UCNPs) is presented. These Si-UCNPs were functionalized with cationic photocaged linkers through covalent bonding, which could effectively adsorb anionic siRNA through electrostatic attractions and were easily internalized by living cells. Upon NIR light irradiation, the photocaged linker on the Si-UCNPs surface could be cleaved by the upconverted UV light and thus initiated the intracellular release of the siRNA. The in vitro agarose gel electrophoresis and intracellular imaging results indicated that the Si-UCNPs-based gene carrier system allowed effective siRNA delivery and the applications of NIR light instead of direct high energy UV irradiation may greatly guarantee less cell damage.The most notable role of small interfering RNA (siRNA) is in RNA interference (RNAi) and post-transcriptional gene silencing, which leads to a surge of interest in RNAi for both biomedical research and therapeutic applications. However, ``naked'' siRNA cannot cross cellular membranes freely because of highly negative charges which limits its utility for gene therapy. In this work, a system of near-infrared (NIR) light-induced siRNA release from silica coated upconversion nanoparticles (Si-UCNPs) is presented. These Si-UCNPs were functionalized with cationic photocaged linkers through covalent bonding, which could effectively adsorb anionic siRNA through electrostatic attractions and were easily internalized by living cells. Upon NIR light irradiation, the photocaged linker on the Si-UCNPs surface

  17. Verification of the Simultaneous Local Extraction Method of Base and Thermal Resistance of Bipolar Transistors

    OpenAIRE

    Robert Setekera; Luuk Tiemeijer; Ramses van der Toorn

    2014-01-01

    In this paper an extensive verification of the extraction method (published earlier) that consistently accounts for self-heating and Early effect to accurately extract both base and thermal resistance of bipolar junction transistors is presented. The method verification is demonstrated on advanced RF SiGe HBTs were the extracted results for the thermal resistance are compared with those from another published method that ignores the effect of Early effect on internal base...

  18. MicroRNA expression profiles in placenta with severe preeclampsia using a PNA-based microarray.

    Science.gov (United States)

    Choi, S-Y; Yun, J; Lee, O-J; Han, H-S; Yeo, M-K; Lee, M-A; Suh, K-S

    2013-09-01

    Preeclampsia (PE) is a leading cause of maternal and neonatal mortality and morbidity worldwide. However, the pathophysiology of this disease is not yet fully understood. MiRNA plays an important role in post-transcriptional gene regulation. Recent studies have suggested that dysregulation of miRNAs in placental tissue is involved in the pathogenesis of PE. Therefore, we investigated miRNA profiles in PE placenta to understand the miRNA function in PE pathogenesis. MiRNA profiling was performed in 20 formalin-fixed and paraffin-embedded samples (10 placentas from severe PE and 10 from a control group). We used a hybridization-based microarray with a PNA-probe comprised of 158 miRNAs. Thirteen miRNAs (miR-92b, miR-197, miR-342-3p, miR-296-5p, miR-26b, miR-25, miR-296-3p, miR-26a, miR-198, miR-202, miR-191, miR-95, and miR-204) were significantly overexpressed and two miRNAs (miR-21 and miR-223) were underexpressed in PE compared with the control group. Among 15 differentially expressed miRNAs, miR-26b, miR-296-5p, and miR-223 were found to be consistent with results from previous studies. We identified 893 genes that were predicted by at least three of four computational algorithms. Target genes participated in several signaling pathways, adherens junction, focal adhesion, and regulation of the actin cytoskeleton. Several miRNAs are found to be dysregulated in placentas of PE patients and they seem to be closely associated with the early pathogenesis of PE. Further study is necessary to develop tools for early detection and management. Copyright © 2013 Elsevier Ltd. All rights reserved.

  19. ncRNA-Disease association prediction through tripartite network based inference

    Directory of Open Access Journals (Sweden)

    Salvatore eAlaimo

    2014-12-01

    Full Text Available Over the past few years, experimental evidence has highlighted the role of microRNAs to human diseases. miRNAs are critical for the regulation of cellular processes, and, therefore, their aberration can be among the triggering causes of pathological phenomena. They are just one member of the large class of non coding RNAs which include transcribed ultra-conserved regions (T-UCRs, small nucleolar RNAs (snoRNAs, PIWI-interacting RNAs (piRNAs, large intergenic non-coding RNAs (lincRNAs and, the heterogeneous group of long non-coding RNAs (lncRNAs. Their associations with diseases are few in number, and their reliability is questionable. In literature there is only one recent method proposed by Yang et al. to predict lncRNA--disease associations. This technique, however, lacks in prediction quality. All these elements entail the need to investigate new bioinformatics tools for the prediction of high quality ncRNA--disease associations. Here we propose a method called ncPred for the inference of novel ncRNA-disease association based on recommendation technique. We represent our knowledge through a tripartite network, whose nodes are ncRNAs, targets, or diseases. Interactions in such a network associate each ncRNA with a disease through its targets. Our algorithm, starting from such a network, computes weights between each target-disease pair using a multi-level resource transfer technique that at each step takes into account the resource transferred in the previous one. The results of our experimental analysis show that our approach is able to predict more biologically significant associations with respect to those obtained by Yang et al. yielding an improvement in terms of the average area under the ROC curve (AUC. These results prove the ability of our approach to predict biologically significant associations, which could lead to abetter understanding of the molecular processes involved in complex diseases.

  20. Mapping Long Noncoding RNA Chromatin Occupancy Using Capture Hybridization Analysis of RNA Targets (CHART).

    Science.gov (United States)

    Vance, Keith W

    2017-01-01

    Capture Hybridization Analysis of RNA Targets (CHART) has recently been developed to map the genome-wide binding profile of chromatin-associated RNAs. This protocol uses a small number of 22-28 nucleotide biotinylated antisense oligonucleotides, complementary to regions of the target RNA that are accessible for hybridization, to purify RNAs from a cross-linked chromatin extract. RNA-chromatin complexes are next immobilized on beads, washed, and specifically eluted using RNase H. Associated genomic DNA is then sequenced using high-throughput sequencing technologies and mapped to the genome to identify RNA-chromatin associations on a large scale. CHART-based strategies can be applied to determine the nature and extent of long noncoding RNA (long ncRNA) association with chromatin genome-wide and identify direct long ncRNA transcriptional targets.

  1. Ginkgo biloba extract and its flavonol and terpenelactone fractions do not affect beta-secretase mRNA and enzyme activity levels in cultured neurons and in mice.

    Science.gov (United States)

    Augustin, Sabine; Huebbe, Patricia; Matzner, Nicole; Augustin, Kay; Schliebs, Reinhard; Cermak, Rainer; Wolffram, Siegfried; Rimbach, Gerald

    2008-01-01

    Numerous clinical trials have reported beneficial effects of the Ginkgo biloba extract EGb761 in the prevention and therapy of cognitive disorders including Alzheimer's disease (AD). Although neuroprotective properties of EGb761 have been consistently reported, the molecular mechanisms of EGb761 and the specific role of its major constituents, the flavonols and terpenlactones, are largely unknown. One major hallmark of AD is the deposition of amyloid-beta (A beta) as amyloid plaques in the brain. A beta is a cleavage product of amyloid precursor protein (APP). Certain proteases, called beta-secretases (BACE), are crucial in the formation of A beta. The purpose of the present study was to investigate the efficacy of EGb761 and its flavonol and terpenelactone fraction to modulate BACE-1 enzyme activity and mRNA levels in vitro and in vivo. Neither EGb761 nor its fractions affected BACE-1 activity in vitro. Furthermore, also in Neuro-2a cells and wild-type as well as transgenic (Tg2576) laboratory mice, no significant effect of EGb761 on BACE-1 enzyme activity and mRNA levels were observed. Current findings suggest that BACE-1 may not be a major molecular target of EGb761 and its flavonol and terpenelactone fraction.

  2. Improved External Base Resistance Extraction for Submicrometer InP/InGaAs DHBT Models

    DEFF Research Database (Denmark)

    Johansen, Tom Keinicke; Krozer, Viktor; Nodjiadjim, Virginie

    2011-01-01

    An improved direct parameter extraction method is proposed for III–V heterojunction bipolar transistor (HBT) external base resistance $R_{\\rm bx}$ extraction from forward active $S$-parameters. The method is formulated taking into account the current dependence of the intrinsic base...

  3. Knowledge-Driven Event Extraction in Russian: Corpus-Based Linguistic Resources.

    Science.gov (United States)

    Solovyev, Valery; Ivanov, Vladimir

    2016-01-01

    Automatic event extraction form text is an important step in knowledge acquisition and knowledge base population. Manual work in development of extraction system is indispensable either in corpus annotation or in vocabularies and pattern creation for a knowledge-based system. Recent works have been focused on adaptation of existing system (for extraction from English texts) to new domains. Event extraction in other languages was not studied due to the lack of resources and algorithms necessary for natural language processing. In this paper we define a set of linguistic resources that are necessary in development of a knowledge-based event extraction system in Russian: a vocabulary of subordination models, a vocabulary of event triggers, and a vocabulary of Frame Elements that are basic building blocks for semantic patterns. We propose a set of methods for creation of such vocabularies in Russian and other languages using Google Books NGram Corpus. The methods are evaluated in development of event extraction system for Russian.

  4. Level Sets and Voronoi based Feature Extraction from any Imagery

    DEFF Research Database (Denmark)

    Sharma, O.; Anton, François; Mioc, Darka

    2012-01-01

    imagery, and 2D/3D acoustic images (from hydrographic surveys). The application involving satellite imagery shown in this paper is coastline detection, but the methodology can be easily applied to feature extraction on any king of imagery. A prototype application that is developed as part of this research...

  5. Application of ionic liquids based enzyme-assisted extraction of chlorogenic acid from Eucommia ulmoides leaves

    Energy Technology Data Exchange (ETDEWEB)

    Liu, Tingting; Sui, Xiaoyu, E-mail: suixiaoyu@outlook.com; Li, Li; Zhang, Jie; Liang, Xin; Li, Wenjing; Zhang, Honglian; Fu, Shuang

    2016-01-15

    A new approach for ionic liquid based enzyme-assisted extraction (ILEAE) of chlorogenic acid (CGA) from Eucommia ulmoides is presented in which enzyme pretreatment was used in ionic liquids aqueous media to enhance extraction yield. For this purpose, the solubility of CGA and the activity of cellulase were investigated in eight 1-alkyl-3-methylimidazolium ionic liquids. Cellulase in 0.5 M [C6mim]Br aqueous solution was found to provide better performance in extraction. The factors of ILEAE procedures including extraction time, extraction phase pH, extraction temperatures and enzyme concentrations were investigated. Moreover, the novel developed approach offered advantages in term of yield and efficiency compared with other conventional extraction techniques. Scanning electronic microscopy of plant samples indicated that cellulase treated cell wall in ionic liquid solution was subjected to extract, which led to more efficient extraction by reducing mass transfer barrier. The proposed ILEAE method would develope a continuous process for enzyme-assisted extraction including enzyme incubation and solvent extraction process. In this research, we propose a novel view for enzyme-assisted extraction of plant active component, besides concentrating on enzyme facilitated cell wall degradation, focusing on improvement of bad permeability of ionic liquids solutions. - Highlights: • An ionic liquid based enzyme-assisted extraction method of natural product was explored. • ILEAE utilizes enzymatic treatment to improve permeability of ionic liquids solution. • Enzyme incubation and solvent extraction process were ongoing simultaneously. • ILEAE process simplified operating process and suitable for more complete extraction.

  6. Classification and energetics of the base-phosphate interactions in RNA

    Czech Academy of Sciences Publication Activity Database

    Zirbel, C.L.; Šponer, Judit E.; Šponer, Jiří; Stombaugh, J.; Leontis, N.B.

    2009-01-01

    Roč. 37, č. 15 (2009), s. 4898-4918 ISSN 0305-1048 R&D Projects: GA AV ČR(CZ) IAA400550701; GA AV ČR(CZ) IAA400040802; GA AV ČR(CZ) 1QS500040581; GA MŠk(CZ) LC06030 Grant - others:GA ČR(CZ) GA203/09/1476 Program:GA Institutional research plan: CEZ:AV0Z50040507; CEZ:AV0Z50040702 Keywords : RNA * base * phosphate Subject RIV: BO - Biophysics Impact factor: 7.479, year: 2009

  7. Optimized extraction and purification technology of Gekko sulfated glycopeptide based on its anticancer activities

    Directory of Open Access Journals (Sweden)

    Nan Nan

    2017-10-01

    Full Text Available Objective: To optimize the extraction and purification technologies of Gekko sulfated glycopeptide based on the content of glycopeptide, removal ratio of proteins, and anticancer activities. Methods: Different extraction methods, namely, water extraction, ultrasonic extraction, enzymatic hydrolysis-water extraction, and enzymatic hydrolysis-ultrasonic extraction were considered to determine the best extraction method. Single factor and orthogonal experiments were performed to determine the optimum extracting conditions. Sevage, enzymatic hydrolysis-Sevage, trichloroacetic acid (TCA, TCA-Sevage and enzymatic hydrolysis-TCA methods were tested to determine the best deproteinization method. The glycopeptide content and protein removal ratio were analyzed by the phenol-sulfuric acid and Coomassie Brilliant Blue methods. Results: Gekko sulfated glycopeptide obtained by water extraction could inhibit the proliferation of HepG2 and SKBR3, as well as promote that of lymphocytes. The glycopeptide content was 4.049% in the optimal extracting condition of a triple decoction extraction for 1 hour each time with a material to solvent ratio of 1:15. The enzymatic hydrolysis-TCA method was found to be the optimal deproteinization method, with a protein removal ratio of 50.46%, glycopeptide content of 14.27%, and inhibitory ratio on human HepG2 cells of 49.06%. Conclusion: This extraction and purification technique for Gekko sulfated glycopeptide is reasonable, feasible, and provides a scientific basis for industrial production.

  8. Data on the inhibition of RNase inhibitor activity by a monoclonal antibody as assessed by microfluidics-based RNA electrophoresis.

    Science.gov (United States)

    Wang, Xiao; Teferedegne, Belete; Shatzkes, Kenneth; Tu, Wei; Murata, Haruhiko

    2016-12-01

    Using purified reaction components, a commercial monoclonal antibody (Ab) specific to RNase inhibitor (RI) was found to interfere with the activity of RI. Total RNA was mixed with a monoclonal Ab specific to either RI (clone 3F11) or glyceraldehyde-3-phosphate dehydrogenase (GAPDH), RNase A, RI, or a combination of the above. Following incubation for 1 h at 22 °C or 37 °C, RNA integrity of the mixtures was assessed using microfluidics-based Bio-Rad Experion RNA electrophoresis. The addition of Ab 3F11 prevented RI from effectively inhibiting RNase A and therefore resulted in extensive RNA degradation. The data presented are associated with the research article entitled "Endogenous RNase Inhibitor Contributes to Stability of RNA in Crude Cell Lysates: Applicability to Reverse Transcription Quantitative PCR (RT-qPCR)" (Wang et al., 2016) [1].

  9. Data on the inhibition of RNase inhibitor activity by a monoclonal antibody as assessed by microfluidics-based RNA electrophoresis

    Directory of Open Access Journals (Sweden)

    Xiao Wang

    2016-12-01

    Full Text Available Using purified reaction components, a commercial monoclonal antibody (Ab specific to RNase inhibitor (RI was found to interfere with the activity of RI. Total RNA was mixed with a monoclonal Ab specific to either RI (clone 3F11 or glyceraldehyde-3-phosphate dehydrogenase (GAPDH, RNase A, RI, or a combination of the above. Following incubation for 1 h at 22 °C or 37 °C, RNA integrity of the mixtures was assessed using microfluidics-based Bio-Rad Experion RNA electrophoresis. The addition of Ab 3F11 prevented RI from effectively inhibiting RNase A and therefore resulted in extensive RNA degradation. The data presented are associated with the research article entitled “Endogenous RNase Inhibitor Contributes to Stability of RNA in Crude Cell Lysates: Applicability to Reverse Transcription Quantitative PCR (RT-qPCR” (Wang et al., 2016 [1].

  10. A novel feature extraction approach for microarray data based on multi-algorithm fusion.

    Science.gov (United States)

    Jiang, Zhu; Xu, Rong

    2015-01-01

    Feature extraction is one of the most important and effective method to reduce dimension in data mining, with emerging of high dimensional data such as microarray gene expression data. Feature extraction for gene selection, mainly serves two purposes. One is to identify certain disease-related genes. The other is to find a compact set of discriminative genes to build a pattern classifier with reduced complexity and improved generalization capabilities. Depending on the purpose of gene selection, two types of feature extraction algorithms including ranking-based feature extraction and set-based feature extraction are employed in microarray gene expression data analysis. In ranking-based feature extraction, features are evaluated on an individual basis, without considering inter-relationship between features in general, while set-based feature extraction evaluates features based on their role in a feature set by taking into account dependency between features. Just as learning methods, feature extraction has a problem in its generalization ability, which is robustness. However, the issue of robustness is often overlooked in feature extraction. In order to improve the accuracy and robustness of feature extraction for microarray data, a novel approach based on multi-algorithm fusion is proposed. By fusing different types of feature extraction algorithms to select the feature from the samples set, the proposed approach is able to improve feature extraction performance. The new approach is tested against gene expression dataset including Colon cancer data, CNS data, DLBCL data, and Leukemia data. The testing results show that the performance of this algorithm is better than existing solutions.

  11. Human disease MiRNA inference by combining target information based on heterogeneous manifolds.

    Science.gov (United States)

    Ding, Pingjian; Luo, Jiawei; Liang, Cheng; Xiao, Qiu; Cao, Buwen

    2018-04-01

    The emergence of network medicine has provided great insight into the identification of disease-related molecules, which could help with the development of personalized medicine. However, the state-of-the-art methods could neither simultaneously consider target information and the known miRNA-disease associations nor effectively explore novel gene-disease associations as a by-product during the process of inferring disease-related miRNAs. Computational methods incorporating multiple sources of information offer more opportunities to infer disease-related molecules, including miRNAs and genes in heterogeneous networks at a system level. In this study, we developed a novel algorithm, named inference of Disease-related MiRNAs based on Heterogeneous Manifold (DMHM), to accurately and efficiently identify miRNA-disease associations by integrating multi-omics data. Graph-based regularization was utilized to obtain a smooth function on the data manifold, which constitutes the main principle of DMHM. The novelty of this framework lies in the relatedness between diseases and miRNAs, which are measured via heterogeneous manifolds on heterogeneous networks integrating target information. To demonstrate the effectiveness of DMHM, we conducted comprehensive experiments based on HMDD datasets and compared DMHM with six state-of-the-art methods. Experimental results indicated that DMHM significantly outperformed the other six methods under fivefold cross validation and de novo prediction tests. Case studies have further confirmed the practical usefulness of DMHM. Copyright © 2018 Elsevier Inc. All rights reserved.

  12. A mutate-and-map strategy accurately infers the base pairs of a 35-nucleotide model RNA

    Science.gov (United States)

    Kladwang, Wipapat; Cordero, Pablo; Das, Rhiju

    2011-01-01

    We present a rapid experimental strategy for inferring base pairs in structured RNAs via an information-rich extension of classic chemical mapping approaches. The mutate-and-map method, previously applied to a DNA/RNA helix, systematically searches for single mutations that enhance the chemical accessibility of base-pairing partners distant in sequence. To test this strategy for structured RNAs, we have carried out mutate-and-map measurements for a 35-nt hairpin, called the MedLoop RNA, embedded within an 80-nt sequence. We demonstrate the synthesis of all 105 single mutants of the MedLoop RNA sequence and present high-throughput DMS, CMCT, and SHAPE modification measurements for this library at single-nucleotide resolution. The resulting two-dimensional data reveal visually clear, punctate features corresponding to RNA base pair interactions as well as more complex features; these signals can be qualitatively rationalized by comparison to secondary structure predictions. Finally, we present an automated, sequence-blind analysis that permits the confident identification of nine of the 10 MedLoop RNA base pairs at single-nucleotide resolution, while discriminating against all 1460 false-positive base pairs. These results establish the accuracy and information content of the mutate-and-map strategy and support its feasibility for rapidly characterizing the base-pairing patterns of larger and more complex RNA systems. PMID:21239468

  13. A novel technique for extracting clouds base height using ground based imaging

    Directory of Open Access Journals (Sweden)

    E. Hirsch

    2011-01-01

    Full Text Available The height of a cloud in the atmospheric column is a key parameter in its characterization. Several remote sensing techniques (passive and active, either ground-based or on space-borne platforms and in-situ measurements are routinely used in order to estimate top and base heights of clouds. In this article we present a novel method that combines thermal imaging from the ground and sounded wind profile in order to derive the cloud base height. This method is independent of cloud types, making it efficient for both low boundary layer and high clouds. In addition, using thermal imaging ensures extraction of clouds' features during daytime as well as at nighttime. The proposed technique was validated by comparison to active sounding by ceilometers (which is a standard ground based method, to lifted condensation level (LCL calculations, and to MODIS products obtained from space. As all passive remote sensing techniques, the proposed method extracts only the height of the lowest cloud layer, thus upper cloud layers are not detected. Nevertheless, the information derived from this method can be complementary to space-borne cloud top measurements when deep-convective clouds are present. Unlike techniques such as LCL, this method is not limited to boundary layer clouds, and can extract the cloud base height at any level, as long as sufficient thermal contrast exists between the radiative temperatures of the cloud and its surrounding air parcel. Another advantage of the proposed method is its simplicity and modest power needs, making it particularly suitable for field measurements and deployment at remote locations. Our method can be further simplified for use with visible CCD or CMOS camera (although nighttime clouds will not be observed.

  14. ncPred: ncRNA-Disease Association Prediction through Tripartite Network-Based Inference.

    Science.gov (United States)

    Alaimo, Salvatore; Giugno, Rosalba; Pulvirenti, Alfredo

    2014-01-01

    Over the past few years, experimental evidence has highlighted the role of microRNAs to human diseases. miRNAs are critical for the regulation of cellular processes, and, therefore, their aberration can be among the triggering causes of pathological phenomena. They are just one member of the large class of non-coding RNAs, which include transcribed ultra-conserved regions (T-UCRs), small nucleolar RNAs (snoRNAs), PIWI-interacting RNAs (piRNAs), large intergenic non-coding RNAs (lincRNAs) and, the heterogeneous group of long non-coding RNAs (lncRNAs). Their associations with diseases are few in number, and their reliability is questionable. In literature, there is only one recent method proposed by Yang et al. (2014) to predict lncRNA-disease associations. This technique, however, lacks in prediction quality. All these elements entail the need to investigate new bioinformatics tools for the prediction of high quality ncRNA-disease associations. Here, we propose a method called ncPred for the inference of novel ncRNA-disease association based on recommendation technique. We represent our knowledge through a tripartite network, whose nodes are ncRNAs, targets, or diseases. Interactions in such a network associate each ncRNA with a disease through its targets. Our algorithm, starting from such a network, computes weights between each ncRNA-disease pair using a multi-level resource transfer technique that at each step takes into account the resource transferred in the previous one. The results of our experimental analysis show that our approach is able to predict more biologically significant associations with respect to those obtained by Yang et al. (2014), yielding an improvement in terms of the average area under the ROC curve (AUC). These results prove the ability of our approach to predict biologically significant associations, which could lead to a better understanding of the molecular processes involved in complex diseases. All the ncPred predictions together

  15. Tuning iteration space slicing based tiled multi-core code implementing Nussinov's RNA folding.

    Science.gov (United States)

    Palkowski, Marek; Bielecki, Wlodzimierz

    2018-01-15

    RNA folding is an ongoing compute-intensive task of bioinformatics. Parallelization and improving code locality for this kind of algorithms is one of the most relevant areas in computational biology. Fortunately, RNA secondary structure approaches, such as Nussinov's recurrence, involve mathematical operations over affine control loops whose iteration space can be represented by the polyhedral model. This allows us to apply powerful polyhedral compilation techniques based on the transitive closure of dependence graphs to generate parallel tiled code implementing Nussinov's RNA folding. Such techniques are within the iteration space slicing framework - the transitive dependences are applied to the statement instances of interest to produce valid tiles. The main problem at generating parallel tiled code is defining a proper tile size and tile dimension which impact parallelism degree and code locality. To choose the best tile size and tile dimension, we first construct parallel parametric tiled code (parameters are variables defining tile size). With this purpose, we first generate two nonparametric tiled codes with different fixed tile sizes but with the same code structure and then derive a general affine model, which describes all integer factors available in expressions of those codes. Using this model and known integer factors present in the mentioned expressions (they define the left-hand side of the model), we find unknown integers in this model for each integer factor available in the same fixed tiled code position and replace in this code expressions, including integer factors, with those including parameters. Then we use this parallel parametric tiled code to implement the well-known tile size selection (TSS) technique, which allows us to discover in a given search space the best tile size and tile dimension maximizing target code performance. For a given search space, the presented approach allows us to choose the best tile size and tile dimension in

  16. Detection and quantification of the toxic microalgae Karenia brevis using lab on a chip mRNA sequence-based amplification.

    Science.gov (United States)

    Loukas, Christos-Moritz; McQuillan, Jonathan S; Laouenan, Florian; Tsaloglou, Maria-Nefeli; Ruano-Lopez, Jesus M; Mowlem, Matthew C

    2017-08-01

    Now and again, the rapid proliferation of certain species of phytoplankton can give rise to Harmful Algal Blooms, which pose a serious threat to marine life and human health. Current methods of monitoring phytoplankton are limited by poor specificity or by the requirement to return samples to a highly resourced, centralised lab. The Lab Card is a small, microfluidic cassette which, when used in tandem with a portable Lab Card Reader can be used to sensitively and specifically quantify harmful algae in the field, from nucleic acid extracts using RNA amplification; a sensitive and specific method for the enumeration of potentially any species based on their unique genetic signatures. This study reports the culmination of work to develop a Lab Card-based genetic assay to quantify the harmful algae Karenia brevis using mRNA amplification by the Nucleic Acid Sequence Based Amplification (NASBA) method. K. brevis cells were quantified by amplification of the rbcL gene transcript in nucleic acid extracts of K. brevis cell samples. A novel enzyme dehydration and preservation method was combined with a pre-existing reagent Gelification method to prepare fully preserved Lab Cards with a shelf-life of at least six weeks prior to use. Using an internal control (IC), the Lab Card-based rbcL NASBA was demonstrated for the quantification of K. brevis from cell extracts containing between 50 and 5000 cells. This is the first demonstration of quantitation of K. brevis using IC-NASBA on a Lab Card. Copyright © 2017. Published by Elsevier B.V.

  17. Comparison of direct boiling method with commercial kits for extracting fecal microbiome DNA by Illumina sequencing of 16S rRNA tags.

    Science.gov (United States)

    Peng, Xin; Yu, Ke-Qiang; Deng, Guan-Hua; Jiang, Yun-Xia; Wang, Yu; Zhang, Guo-Xia; Zhou, Hong-Wei

    2013-12-01

    Low cost and high throughput capacity are major advantages of using next generation sequencing (NGS) techniques to determine metagenomic 16S rRNA tag sequences. These methods have significantly changed our view of microorganisms in the fields of human health and environmental science. However, DNA extraction using commercial kits has shortcomings of high cost and time constraint. In the present study, we evaluated the determination of fecal microbiomes using a direct boiling method compared with 5 different commercial extraction methods, e.g., Qiagen and MO BIO kits. Principal coordinate analysis (PCoA) using UniFrac distances and clustering showed that direct boiling of a wide range of feces concentrations gave a similar pattern of bacterial communities as those obtained from most of the commercial kits, with the exception of the MO BIO method. Fecal concentration by boiling method affected the estimation of α-diversity indices, otherwise results were generally comparable between boiling and commercial methods. The operational taxonomic units (OTUs) determined through direct boiling showed highly consistent frequencies with those determined through most of the commercial methods. Even those for the MO BIO kit were also obtained by the direct boiling method with high confidence. The present study suggested that direct boiling could be used to determine the fecal microbiome and using this method would significantly reduce the cost and improve the efficiency of the sample preparation for studying gut microbiome diversity. © 2013 Elsevier B.V. All rights reserved.

  18. Background Knowledge in Learning-Based Relation Extraction

    Science.gov (United States)

    2012-01-01

    patient and supportive even when I was in long procrastinations . And of course, Dan has put huge influence on the improvement of my English skills. I...systems built upon well-known large- scale hierarchical structures. Strube07 is built on the latest version of a taxonomy, TStrube, which was derived...events in the documents. However, for scaling purpose, NEXUS only analyzes and extracts events from the first sentence and the title of each document

  19. GA Based Optimal Feature Extraction Method for Functional Data Classification

    OpenAIRE

    Jun Wan; Zehua Chen; Yingwu Chen; Zhidong Bai

    2010-01-01

    Classification is an interesting problem in functional data analysis (FDA), because many science and application problems end up with classification problems, such as recognition, prediction, control, decision making, management, etc. As the high dimension and high correlation in functional data (FD), it is a key problem to extract features from FD whereas keeping its global characters, which relates to the classification efficiency and precision to heavens. In this paper...

  20. Improved extraction of fluoroquinolones with recyclable ionic-liquid-based aqueous biphasic systems.

    Science.gov (United States)

    Almeida, Hugo F D; Freire, Mara G; Marrucho, Isabel M

    2016-05-07

    In the past few years, the improvement of advanced analytical tools allowed to confirm the presence of trace amounts of metabolized and unchanged active pharmaceutical ingredients (APIs) in wastewater treatment plants (WWTPs) as well as in freshwater surfaces. It is known that the continuous contact with APIs, even at very low concentrations (ng L -1 -μg L -1 ), leads to serious human health problems. In this context, this work shows the feasibility of using ionic-liquid-based aqueous biphasic systems (IL-based ABS) in the extraction of quinolones present in aqueous media. In particular, ABS composed of imidazolium- and phosphonium-based ILs and aluminium-based salts (already used in water treatment plants) were evaluated in one-step extractions of six fluoroquinolones (FQs), namely ciprofloxacin, enrofloxacin, moxifloxacin, norfloxacin, ofloxacin and sarafloxacin, and extraction efficiencies up to 98% were obtained. Despite the large interest devoted to IL-based ABS as extractive systems of outstanding performance, their recyclability/reusability has seldomly been studied. An efficient extraction/cleaning process of the IL-rich phase is here proposed by FQs induced precipitation. The recycling of the IL and its further reuse without losses in the ABS extractive performance for FQs were established, as confirmed by the four consecutive removal/extraction cycles evaluated. This novel recycling strategy supports IL-based ABS as sustainable and cost-efficient extraction platforms.

  1. Novel feature extraction method based on weight difference of weighted network for epileptic seizure detection.

    Science.gov (United States)

    Fenglin Wang; Qingfang Meng; Hong-Bo Xie; Yuehui Chen

    2014-01-01

    The extraction method of classification feature is primary and core problem in all epileptic EEG detection algorithms, since it can seriously affect the performance of the detection algorithm. In this paper, a novel epileptic EEG feature extraction method based on the statistical parameter of weighted complex network is proposed. The EEG signal is first transformed into weighted network and the weight differences of all the nodes in the network are analyzed. Then the sum of top quintile weight differences is extracted as the classification feature. At last, the extracted feature is applied to classify the epileptic EEG dataset. Experimental results show that the single feature classification based on the extracted feature obtains higher classification accuracy up to 94.75%, which indicates that the extracted feature can distinguish the ictal EEG from interictal EEG and has great potentiality of real-time epileptic seizures detection.

  2. Wavelet-based segmentation and feature extraction of heart sounds for intelligent PDA-based phonocardiography.

    Science.gov (United States)

    Nazeran, H

    2007-01-01

    Many pathological conditions of the cardiovascular system cause murmurs and aberrations in heart sounds. Phonocardiography provides the clinician with a complementary tool to record the heart sounds heard during auscultation. The advancement of intracardiac phonocardiography combined with modern digital signal processing techniques has strongly renewed researchers' interest in studying heart sounds and murmurs. The aim of this work is to investigate the applicability of different spectral analysis methods to heart sound signals and explore their suitability for PDA-based implementation. Fourier transform (FT), short-time Fourier transform (STFT) and wavelet transform (WT) are used to perform spectral analysis on heart sounds. A segmentation algorithm based on Shannon energy is used to differentiate between first and second heart sounds. Then wavelet transform is deployed again to extract 64 features of heart sounds. The FT provides valuable frequency information but the timing information is lost during the transformation process. The STFT or spectrogram provides valuable time-frequency information but there is a trade-off between time and frequency resolution. Wavelet analysis, however, does not suffer from limitations of the STFT and provides adequate time and frequency resolution to accurately characterize the normal and pathological heart sounds. The results show that the wavelet-based segmentation algorithm is quite effective in localizing the important components of both normal and abnormal heart sounds. They also demonstrate that wavelet-based feature extraction provides suitable feature vectors which are clearly differentiable and useful for automatic classification of heart sounds.

  3. Model-based design of RNA hybridization networks implemented in living cells.

    Science.gov (United States)

    Rodrigo, Guillermo; Prakash, Satya; Shen, Shensi; Majer, Eszter; Daròs, José-Antonio; Jaramillo, Alfonso

    2017-09-19

    Synthetic gene circuits allow the behavior of living cells to be reprogrammed, and non-coding small RNAs (sRNAs) are increasingly being used as programmable regulators of gene expression. However, sRNAs (natural or synthetic) are generally used to regulate single target genes, while complex dynamic behaviors would require networks of sRNAs regulating each other. Here, we report a strategy for implementing such networks that exploits hybridization reactions carried out exclusively by multifaceted sRNAs that are both targets of and triggers for other sRNAs. These networks are ultimately coupled to the control of gene expression. We relied on a thermodynamic model of the different stable conformational states underlying this system at the nucleotide level. To test our model, we designed five different RNA hybridization networks with a linear architecture, and we implemented them in Escherichia coli. We validated the network architecture at the molecular level by native polyacrylamide gel electrophoresis, as well as the network function at the bacterial population and single-cell levels with a fluorescent reporter. Our results suggest that it is possible to engineer complex cellular programs based on RNA from first principles. Because these networks are mainly based on physical interactions, our designs could be expanded to other organisms as portable regulatory resources or to implement biological computations. © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research.

  4. Direct RNA-based detection of CTX-M β-lactamases in human blood samples.

    Science.gov (United States)

    Stein, Claudia; Makarewicz, Oliwia; Pfeifer, Yvonne; Brandt, Christian; Pletz, Mathias W

    2015-05-01

    Bloodstream infections with ESBL-producers are associated with increased mortality, which is due to delayed appropriate treatment resulting in clinical failure. Current routine diagnostics for detection of bloodstream infections consists of blood culture followed by species identification and susceptibility testing. In attempts to improve and accelerate diagnostic procedures, PCR-based methods have been developed. These methods focus on species identification covering only a limited number of ESBL coding genes. Therefore, they fail to cover the steadily further evolving genetic diversity of clinically relevant β-lactamases. We have recently designed a fast and novel RNA targeting method to detect and specify CTX-M alleles from bacterial cultures, based on an amplification-pyrosequencing approach. We further developed this assay towards a diagnostic tool for clinical use and evaluated its sensitivity and specificity when applied directly to human blood samples. An optimized protocol for mRNA isolation allows detection of specific CTX-M groups from as little as 100 CFU/mL blood via reverse transcription, amplification, and pyrosequencing directly from human EDTA blood samples as well as from pre-incubated human blood cultures with a turnaround time for test results of <7 h. Copyright © 2015 Elsevier GmbH. All rights reserved.

  5. Effects of single-base substitutions within the acanthamoeba castellanii rRNA promoter on transcription and on binding of transcription initiation factor and RNA polymerase I

    Energy Technology Data Exchange (ETDEWEB)

    Kownin, P.; Bateman, E.; Paule, M.R.

    1988-02-01

    Single-point mutations were introduced into the promoter region of the Acanthamoeba castellanii rRNA gene by chemical mutagen treatment of a single-stranded clone in vitro, followed by reverse transcription and cloning of the altered fragment. The promoter mutants were tested for transcription initiation factor (TIF) binding by a template commitment assay plus DNase I footprinting and for transcription by an in vitro runoff assay. Point mutations within the previously identified TIF interaction region (between -20 and -47, motifs A and B) indicated that TIF interacts most strongly with a sequence centered at -29 and less tightly with sequences upstream and downstream. Some alterations of the base sequence closer to the transcription start site (and outside the TIF-protected site) also significantly decrease specific RNA synthesis in vitro. These were within the region which is protected from DNAse I digestion by polymerase I, but these mutations did not detectably affect the binding of polymerase to the promoter.

  6. [Phylogenetic comparison between Spirulina and Arthrospira based on 16S rRNA and rpoC1 gene].

    Science.gov (United States)

    Wu, Yuemei; Wang, Suying; Dong, Shirui

    2016-02-04

    Based on 16S rRNA and rpoC1 gene sequences, the phylogenetic relationship between Spirulina and Arthrospira were studied and compared. We amplified, sequenced and analyzed 16S rRNA and rpoC1 of 84 strains. Then the phylogenetic trees were constructed and compared. The conserved sites percentage, average G+C content and sequence identity of rpoC1 were 49.7%, 47.7%, 76%-100% respectively, significantly lower than 79.4%, 55.6% and 91%-100% of 16S rRNA, and the heterogeneity degree was higher. The trees generated with two different genes showed similar topologies and thus inferred consistent phylogenetic relationships. Eighty-four experimental strains were divided into 3 groups belonging to 2 genera: F-35 1, F-904-2, F-1070 and TJBC14 were Spirulina and the rest were Arthrospira. Although morphospecies and geographical species could not be distinguished based on 16S rRNA and rpoC1 gene sequences, the bootstrap value of rpoC1 (100%) was higher than that of 16S rRNA (99%). Moreover, clustering effect of rpoC1 for Spirulina and Arthrospirai was better than 16S rRNA. Spirulina and Arthrospira were different genera, rpoC1 gene has more advantage to distinguish the strains in the same genus than that of 16S rRNA gene.

  7. RCK: accurate and efficient inference of sequence- and structure-based protein-RNA binding models from RNAcompete data.

    Science.gov (United States)

    Orenstein, Yaron; Wang, Yuhao; Berger, Bonnie

    2016-06-15

    Protein-RNA interactions, which play vital roles in many processes, are mediated through both RNA sequence and structure. CLIP-based methods, which measure protein-RNA binding in vivo, suffer from experimental noise and systematic biases, whereas in vitro experiments capture a clearer signal of protein RNA-binding. Among them, RNAcompete provides binding affinities of a specific protein to more than 240 000 unstructured RNA probes in one experiment. The computational challenge is to infer RNA structure- and sequence-based binding models from these data. The state-of-the-art in sequence models, Deepbind, does not model structural preferences. RNAcontext models both sequence and structure preferences, but is outperformed by GraphProt. Unfortunately, GraphProt cannot detect structural preferences from RNAcompete data due to the unstructured nature of the data, as noted by its developers, nor can it be tractably run on the full RNACompete dataset. We develop RCK, an efficient, scalable algorithm that infers both sequence and structure preferences based on a new k-mer based model. Remarkably, even though RNAcompete data is designed to be unstructured, RCK can still learn structural preferences from it. RCK significantly outperforms both RNAcontext and Deepbind in in vitro binding prediction for 244 RNAcompete experiments. Moreover, RCK is also faster and uses less memory, which enables scalability. While currently on par with existing methods in in vivo binding prediction on a small scale test, we demonstrate that RCK will increasingly benefit from experimentally measured RNA structure profiles as compared to computationally predicted ones. By running RCK on the entire RNAcompete dataset, we generate and provide as a resource a set of protein-RNA structure-based models on an unprecedented scale. Software and models are freely available at http://rck.csail.mit.edu/ bab@mit.edu Supplementary data are available at Bioinformatics online. © The Author 2016. Published by

  8. [Effects of microRNA-146a on Fas-associated factor 2 and inflammatory factors in human lung adenocarcinoma A549 cells under the stimulation of cigarette smoke extract].

    Science.gov (United States)

    Li, Wenting; Liu, Zhen; Jia, Chiyu; Yin, Bin; Shu, Bin

    2016-02-01

    Under the premise of smoke inhalation injury, to explore the effects of microRNA-146a on Fas-associated factor 2 (FAF-2) and inflammatory factors in human lung adenocarcinoma A549 cells under the stimulation of cigarette smoke extract (CSE). (1) The pMIR-FAF-2 recombinant plasmid and the pMIR-FAF-2 recombinant mutated plasmid were constructed. Human embryonic kidney 293 (HEK-293) cells of the third passage were divided into 3 groups according to the random number table, with 5 wells in each group. Cells in plasmid+ microRNA control group were transfected with pMIR-FAF-2 recombinant plasmid, pRL-TK plasmid, and microRNA control; cells in plasmid+ microRNA-146a group were transfected with pMIR-FAF-2 recombinant plasmid, pRL-TK plasmid, and microRNA-146a mimics; cells in mutated plasmid+ microRNA-146a group were transfected with pMIR-FAF-2 recombinant mutated plasmid, pRL-TK plasmid, and microRNA-146a inhibitor. After culture for 24 h, the relative luciferase activity in cells was assessed by dual-luciferase reporter gene assay. (2) Human lung adenocarcinoma A549 cells of the third passage were divided into 3 groups according to the random number table, with 4 wells in each group. Cells in microRNA control group were transfected with microRNA control; cells in microRNA-146a enhancement group were transfected with microRNA-146a mimics; cells in microRNA-146a inhibition group were transfected with microRNA-146a inhibitor. After culture for 24 h, the mRNA expression levels of microRNA-146a and FAF-2 in cells were determined with real-time fluorescent quantitative reverse transcription-PCR. (3) A549 cells of the third passage were stimulated by 0.8% CSE for 24 h after being divided and treated with the same method used in experiment (2). The mRNA expression levels of FAF-2, IL-8, monocyte chemotactic protein-1 (MCP-1), and growth-regulated oncogene-α (GRO-α) in cells were determined with real-time fluorescent quantitative reverse transcription-PCR. The protein

  9. Validation of artificial microRNA expression by poly(A) tailing-based RT-PCR

    OpenAIRE

    sprotocols

    2015-01-01

    Authors: Rui Shi, Chenmin Yang, Ronald Sederoff & Vincent Chiang ### Abstract Here we describe a protocol for validating expression of artificial microRNAs (amiRNAs) by poly(A) tailing-based RT-PCR. Total RNAs, including amiRNA, are poly(A) tailed using E.coli. poly(A) polymerase. Poly(A) tailed amiRNA can be converted into cDNA along with mRNAs in a reverse transcription reaction primed by a standard poly(T) anchor adaptor. AmiRNA can then be amplified and quantitated by real-time PC...

  10. 16S rRNA-based detection of oral pathogens in coronary atherosclerotic plaque

    Directory of Open Access Journals (Sweden)

    Mahendra Jaideep

    2010-01-01

    Full Text Available Background: Atherosclerosis develops as a response of the vessel wall to injury. Chronic bacterial infections have been associated with an increased risk for atherosclerosis and coronary artery disease. The ability of oral pathogens to colonize in coronary atheromatous plaque is well known. Aim: The aim of this study was to detect the presence of Treponema denticola, Porphyromonas gingivalis and Campylobacter rectus in the subgingival and atherosclerotic plaques of patients with coronary artery disease. Materials and Methods: Fifty-one patients in the age group of 40-80 years with coronary artery disease were selected for the study. DNA was extracted from the plaque samples. The specific primers for T. denticola, C. rectus and P. gingivalis were used to amplify a part of the 16S rRNA gene by polymerase chain reaction. Statistical Analysis Used: Chi-square analysis, correlation coefficient and prevalence percentage of the microorganisms were carried out for the analysis. Results: Of the 51 patients, T. denticola, C. rectus and P. gingivalis were detected in 49.01%, 21.51% and 45.10% of the atherosclerotic plaque samples. Conclusions: Our study revealed the presence of bacterial DNA of the oral pathogenic microorganisms in coronary atherosclerotic plaques. The presence of the bacterial DNA in the coronary atherosclerotic plaques in significant proportion may suggest the possible relationship between periodontal bacterial infection and genesis of coronary atherosclerosis.

  11. Modified Polyadenylation-Based RT-qPCR Increases Selectivity of Amplification of 3′-MicroRNA Isoforms

    Directory of Open Access Journals (Sweden)

    Charlotte Nejad

    2018-01-01

    Full Text Available MicroRNA (miRNA detection by reverse transcription (RT quantitative real-time PCR (RT-qPCR is the most popular method currently used to measure miRNA expression. Although the majority of miRNA families are constituted of several 3′-end length variants (“isomiRs”, little attention has been paid to their differential detection by RT-qPCR. However, recent evidence indicates that 3′-end miRNA isoforms can exhibit 3′-length specific regulatory functions, underlining the need to develop strategies to differentiate 3′-isomiRs by RT-qPCR approaches. We demonstrate here that polyadenylation-based RT-qPCR strategies targeted to 20–21 nt isoforms amplify entire miRNA families, but that primers targeted to >22 nt isoforms were specific to >21 nt isoforms. Based on this observation, we developed a simple method to increase selectivity of polyadenylation-based RT-qPCR assays toward shorter isoforms, and demonstrate its capacity to help distinguish short RNAs from longer ones, using synthetic RNAs and biological samples with altered isomiR stoichiometry. Our approach can be adapted to many polyadenylation-based RT-qPCR technologies already exiting, providing a convenient way to distinguish long and short 3′-isomiRs.

  12. RNA Sequencing Analysis of Salivary Extracellular RNA.

    Science.gov (United States)

    Majem, Blanca; Li, Feng; Sun, Jie; Wong, David T W

    2017-01-01

    Salivary biomarkers for disease detection, diagnostic and prognostic assessments have become increasingly well established in recent years. In this chapter we explain the current leading technology that has been used to characterize salivary non-coding RNAs (ncRNAs) from the extracellular RNA (exRNA) fraction: HiSeq from Illumina® platform for RNA sequencing. Therefore, the chapter is divided into two main sections regarding the type of the library constructed (small and long ncRNA libraries), from saliva collection, RNA extraction and quantification to cDNA library generation and corresponding QCs. Using these invaluable technical tools, one can identify thousands of ncRNA species in saliva. These methods indicate that salivary exRNA provides an efficient medium for biomarker discovery of oral and systemic diseases.

  13. A phylogenetic framework for the kingdom Fungi based on 18S rRNA gene sequences.

    Science.gov (United States)

    Yarza, Pablo; Yilmaz, Pelin; Panzer, Katrin; Glöckner, Frank Oliver; Reich, Marlis

    2017-12-01

    The usage of molecular phylogenetic approaches is critical to advance the understanding of systematics and community processes in the kingdom Fungi. Among the possible phylogenetic markers (or combinations of them), the 18S rRNA gene appears currently as the most prominent candidate due to its large availability in public databases and informative content. The purpose of this work was the creation of a reference phylogenetic framework that can serve as ready-to-use package for its application on fungal classification and community analysis. The current database contains 9329 representative 18S rRNA gene sequences covering the whole fungal kingdom, a manually curated alignment, an annotated and revised phylogenetic tree with all the sequence entries, updated information on current taxonomy, and recommendations of use. Out of 201 total fungal taxa with more than two sequences in the dataset, 179 were monophyletic. From another perspective, 66% of the entries had a tree-derived classification identical to that obtained from the NCBI taxonomy, whereas 34% differed in one or the other rank. Most of the differences were associated to missing taxonomic assignments in NCBI taxonomy, or the unexpected position of sequences that positioned out of their theoretically corresponding clades. The strong correlation observed with current fungal taxonomy evidences that 18S rRNA gene sequence-based phylogenies are adequate to reflect genealogy of Fungi at the levels of order and above, and justify their further usage and exploration. Copyright © 2017 The Authors. Published by Elsevier B.V. All rights reserved.

  14. Protection of riboflavin and UVB sensitized degradation of DNA and RNA bases by natural antioxidants.

    Science.gov (United States)

    Joshi, Prakash C; Gray, Thomas A; Keane, Thomas C

    2012-04-01

    Riboflavin (RF) is a potent photosensitizer producing extensive degradation of purine and pyrimidine derivatives of nucleic acids under UVA, UVB and sunlight. In this study we have demonstrated that reactive O(2) species generated by photosensitized RF under UVB were responsible for the degradation of DNA and RNA bases. While (1)O(2) accounted for the degradation of adenine, guanine, thymine and uracil, O(2)(-·)also contributed to partial degradation of adenine. Cytosine remained unaffected by the synergistic action of RF and UVB. Ascorbic acid, glutathione, glycolic acid and quercetin showed remarkable protection (88-100%) against photodegradation of bases. Sorbitol was effective in preventing photodegradation of guanine. These naturally occurring antioxidants are potential candidates for prevention against oxidative stress caused by photosensitization. Copyright © 2011 Elsevier Inc. All rights reserved.

  15. Corner Feature Extraction: Techniques for Landmark Based Navigation Systems

    OpenAIRE

    Namoshe, Molaletsa; Matsebe, Oudetse; Tlale, Nkgatho

    2010-01-01

    In this paper we discussed the results of an EKF SLAM using real data logged and computed offline. One of the most important parts of the SLAM process is to accurately map the environment the robot is exploring and localize in it. To achieve this however, is depended on the precise acquirement of features extracted from the external sensor. We looked at corner detection methods and we proposed an improved version of the method discussed in section 2.1.1. It transpired that methods found in th...

  16. [Study on inhibitory effect of water extract of Polygonum multiflorum on CYP1A2 and CYP2E1 enzymatic activities and mRNA expressions in rat liver].

    Science.gov (United States)

    Li, Hao; Yang, Hong-li; Li, Deng-ke; Feng, Guang-yuan; Wei, Bao-hong; Zhang, Yuan-yuan; Zhang, Yu-jie; Sun, Zhen-xiao

    2015-04-01

    Rats were continuously given different doses of water extract of Polygonum multiflorum (1, 10 g x kg(-1)) for 7 days to prepare liver microsomes. Cocktail in vitro incubation approach and Real-time quantitative PCR technology were used to observe the effect of water extract of P. multiflorum on CYP450 enzymatic activities and mRNA expressions in rat liver. Compared with the blank control group, both 1, 10 g x kg(-1) water extract of P. multiflorum treated groups showed significant inhibitions in CYP2E1 enzymatic activities and mRNA expressions (enzymatic activities of CYP2E1, P < 0.01; mRNA expression of CYP2E1, P < 0.05 in 1 g x kg(-1) group, P < 0.01 in 10 g x kg(-1) group). They revealed a significant increase in the enzymatic activity of CYP3A1 (P < 0.01), but without significant change in mRNA expressions. The 10 g x kg(-1) group showed a significant inhibition in CYP1A2 enzymatic activities and mRNA expressions in rat livers (P < 0.01).

  17. An Efficient Minimum Free Energy Structure-Based Search Method for Riboswitch Identification Based on Inverse RNA Folding.

    Directory of Open Access Journals (Sweden)

    Matan Drory Retwitzer

    Full Text Available Riboswitches are RNA genetic control elements that were originally discovered in bacteria and provide a unique mechanism of gene regulation. They work without the participation of proteins and are believed to represent ancient regulatory systems in the evolutionary timescale. One of the biggest challenges in riboswitch research is to find additional eukaryotic riboswitches since more than 20 riboswitch classes have been found in prokaryotes but only one class has been found in eukaryotes. Moreover, this single known class of eukaryotic riboswitch, namely the TPP riboswitch class, has been found in bacteria, archaea, fungi and plants but not in animals. The few examples of eukaryotic riboswitches were identified using sequence-based bioinformatics search methods such as a combination of BLAST and pattern matching techniques that incorporate base-pairing considerations. None of these approaches perform energy minimization structure predictions. There is a clear motivation to develop new bioinformatics methods, aside of the ongoing advances in covariance models, that will sample the sequence search space more flexibly using structural guidance while retaining the computational efficiency of sequence-based methods. We present a new energy minimization approach that transforms structure-based search into a sequence-based search, thereby enabling the utilization of well established sequence-based search utilities such as BLAST and FASTA. The transformation to sequence space is obtained by using an extended inverse RNA folding problem solver with sequence and structure constraints, available within RNAfbinv. Examples in applying the new method are presented for the purine and preQ1 riboswitches. The method is described in detail along with its findings in prokaryotes. Potential uses in finding novel eukaryotic riboswitches and optimizing pre-designed synthetic riboswitches based on ligand simulations are discussed. The method components are freely

  18. The extraction of coastal windbreak forest information based on UAV remote sensing images

    Science.gov (United States)

    Shang, Weitao; Gao, Zhiqiang; Jiang, Xiaopeng; Chen, Maosi

    2017-09-01

    Unmanned aerial vehicle(UAV) have been increasingly used for natural resource applications in recent years as a result of their greater availability, the miniaturization of sensors, and the ability to deploy UAV relatively quickly and repeatedly at low altitudes. UAV remote sensing offer rich contextual information, including spatial, spectral and contextual information. In order to extract the information from these UAV remote sensing images, we need to utilize the spatial and contextual information of an object and its surroundings. If pixel based approaches are applied to extract information from such remotely sensed data, only spectral information is used. Thereby, in Pixel based approaches, information extraction is based exclusively on the gray level thresholding methods. To extract the certain features only from UAV remote sensing images, this situation becomes worse. To overcome this situation an object-oriented approach is implemented. By object-oriented thought, the coastal windbreak forest information are extracted by the use of UAV remote sensing images. Firstly, the images are segmented. And then the spectral information and object geometry information of images objects are comprehensively applied to build the coastal windbreak forest extraction knowledge base. Thirdly, the results of coastal windbreak forest extraction are improved and completed. The results show that better accuracy of coastal windbreak forest extraction can be obtained by the proposed method, in contrast to the pixel-oriented method. In this study, the overall accuracy of classified image is 0.94 and Kappa accuracy is 0.92.

  19. Optical Sensing Material for pH Detection based on the Use of Roselle Extract

    International Nuclear Information System (INIS)

    Nurul Huda Abd Karim; Musa Ahmad; Mohammad Osman Herman; Ahmad Mahir Mokhtar

    2008-01-01

    This research assessed the potential of natural colour extract of Hibiscus Sabdariffa L. (roselle) as sensing material.The pH sensor was developed based on the use of natural reddish colour in roselle calyx, delphinidin-3-sambubioside immobilised in a glass fibre filter paper. In free solution, roselle extract was characterised by using UV-visible spectrophotometer to study the effect of pH, extract concentration, response time, repeatability and photo stability. The study showed that natural colour extract can be used as sensing material for the development of an optical pH sensor. (author)

  20. REMap: Operon map of M. tuberculosis based on RNA sequence data.

    Science.gov (United States)

    Pelly, Shaaretha; Winglee, Kathryn; Xia, Fang Fang; Stevens, Rick L; Bishai, William R; Lamichhane, Gyanu

    2016-07-01

    A map of the transcriptional organization of genes of an organism is a basic tool that is necessary to understand and facilitate a more accurate genetic manipulation of the organism. Operon maps are largely generated by computational prediction programs that rely on gene conservation and genome architecture and may not be physiologically relevant. With the widespread use of RNA sequencing (RNAseq), the prediction of operons based on actual transcriptome sequencing rather than computational genomics alone is much needed. Here, we report a validated operon map of Mycobacterium tuberculosis, developed using RNAseq data from both the exponential and stationary phases of growth. At least 58.4% of M. tuberculosis genes are organized into 749 operons. Our prediction algorithm, REMap (RNA Expression Mapping of operons), considers the many cases of transcription coverage of intergenic regions, and avoids dependencies on functional annotation and arbitrary assumptions about gene structure. As a result, we demonstrate that REMap is able to more accurately predict operons, especially those that contain long intergenic regions or functionally unrelated genes, than previous operon prediction programs. The REMap algorithm is publicly available as a user-friendly tool that can be readily modified to predict operons in other bacteria. Copyright © 2016 Elsevier Ltd. All rights reserved.

  1. SurvMicro: assessment of miRNA-based prognostic signatures for cancer clinical outcomes by multivariate survival analysis.

    Science.gov (United States)

    Aguirre-Gamboa, Raul; Trevino, Victor

    2014-06-01

    MicroRNAs (miRNAs) play a key role in post-transcriptional regulation of mRNA levels. Their function in cancer has been studied by high-throughput methods generating valuable sources of public information. Thus, miRNA signatures predicting cancer clinical outcomes are emerging. An important step to propose miRNA-based biomarkers before clinical validation is their evaluation in independent cohorts. Although it can be carried out using public data, such task is time-consuming and requires a specialized analysis. Therefore, to aid and simplify the evaluation of prognostic miRNA signatures in cancer, we developed SurvMicro, a free and easy-to-use web tool that assesses miRNA signatures from publicly available miRNA profiles using multivariate survival analysis. SurvMicro is composed of a wide and updated database of >40 cohorts in different tissues and a web tool where survival analysis can be done in minutes. We presented evaluations to portray the straightforward functionality of SurvMicro in liver and lung cancer. To our knowledge, SurvMicro is the only bioinformatic tool that aids the evaluation of multivariate prognostic miRNA signatures in cancer. SurvMicro and its tutorial are freely available at http://bioinformatica.mty.itesm.mx/SurvMicro. © The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

  2. plantDARIO: Web based quantitative and qualitative analysis of small RNA-seq data in plants

    Directory of Open Access Journals (Sweden)

    Deblina ePatra

    2014-12-01

    Full Text Available High-throughput sequencing techniques have made it possible to assay an organism’s entire repertoire of small non-coding RNAs (ncRNAs in an efficient and cost-effective manner. The moderate size of small RNAseq datasets makes it feasible to provide free web services to the research community that provide many basic features of a small RNA-seq analysis including quality control, read normalization, ncRNA quantification, and the prediction of putative novel ncRNAs. DARIO is one such system that so far has been focussed on animals. Here we report on the extension of this system to plant short non-coding RNAs (sncRNAs, which includes modifications to cope with plant-specific ncRNA processing. The current version of plantDARIO covers analyses of mapping files, RNA-seq quality control, expression analyses of annotated ncRNAs, prediction of miRNAs and snoRNAs from unknown expressed loci, and expression analyses of user-defined loci for Arabidopsis thaliana, Beta vulgaris, and Solanum lycopersicum. It links to a visualization browser for custom track display. The easy-to-use platform of plantDARIO quantifies RNA expression based on annotated ncRNAs from different ncRNA databases and also some ncRNA annotations validated by our group. The plantDARIO web site can be accessed at http://plantdario.bioinf.uni-leipzig.de/.

  3. In-vivo quantification of primary microRNA processing by Drosha with a luciferase based system

    International Nuclear Information System (INIS)

    Allegra, Danilo; Mertens, Daniel

    2011-01-01

    Research highlights: → Posttranscriptional regulation of miRNA processing is difficult to quantify. → Our in-vivo processing assay can quantify Drosha cleavage in live cells. → It is based on luciferase reporters fused with pri-miRNAs. → The assay validates the processing defect caused by a mutation in pri-16-1. → It is a sensitive method to quantify pri-miRNA cleavage by Drosha in live cells. -- Abstract: The RNAse III Drosha is responsible for the first step of microRNA maturation, the cleavage of primary miRNA to produce the precursor miRNA. Processing by Drosha is finely regulated and influences the amount of mature microRNA in a cell. We describe in the present work a method to quantify Drosha processing activity in-vivo, which is applicable to any microRNA. With respect to other methods for measuring Drosha activity, our system is faster and scalable, can be used with any cellular system and does not require cell sorting or use of radioactive isotopes. This system is useful to study regulation of Drosha activity in physiological and pathological conditions.

  4. Application of Brown Planthopper Salivary Gland Extract to Rice Plants Induces Systemic Host mRNA Patterns Associated with Nutrient Remobilization.

    Directory of Open Access Journals (Sweden)

    Adelina Petrova

    Full Text Available Insect saliva plays an important role in modulation of plant-insect interactions. Although this area of research has generated much attention in recent years, mechanisms of how saliva affects plant responses remain poorly understood. To address this void, the present study investigated the impact of the brown planthopper (Nilaparvata lugens, Stål; hereafter BPH salivary gland extract (SGE on rice (Oryza sativa systemic responses at the mRNA level. Differentially expressed rice mRNAs were generated through suppression subtractive hybridization (SSH and classified into six functional groups. Those with the most representatives were from the primary metabolism (28%, signaling-defense (22% and transcription-translation-regulation group (16%. To validate SSH library results, six genes were further analyzed by One-Step Real-Time Reverse Transcriptase-PCR. Five of these genes exhibited up-regulation levels of more than 150% of those in the control group in at least one post-application time point. Results of this study allow assignment of at least two putative roles of BPH saliva: First, application of SGE induces immediate systemic responses at the mRNA level, suggesting that altering of the rice transcriptome at sites distant to hoppers feeding locations may play an important role in BPH-rice interactions. Second, 58% of SGE-responsive up-regulated genes have a secondary function associated with senescence, a process characterized by remobilization of nutrients. This suggests that BPH salivary secretions may reprogram the rice transcriptome for nutritional enhancement. When these findings are translated onto 'whole plant' scale, they indicate that BPH saliva may play the 'wise investment' role of 'minimum input today, maximum output tomorrow'.

  5. Fusion of Pixel-based and Object-based Features for Road Centerline Extraction from High-resolution Satellite Imagery

    Directory of Open Access Journals (Sweden)

    CAO Yungang

    2016-10-01

    Full Text Available A novel approach for road centerline extraction from high spatial resolution satellite imagery is proposed by fusing both pixel-based and object-based features. Firstly, texture and shape features are extracted at the pixel level, and spectral features are extracted at the object level based on multi-scale image segmentation maps. Then, extracted multiple features are utilized in the fusion framework of Dempster-Shafer evidence theory to roughly identify the road network regions. Finally, an automatic noise removing algorithm combined with the tensor voting strategy is presented to accurately extract the road centerline. Experimental results using high-resolution satellite imageries with different scenes and spatial resolutions showed that the proposed approach compared favorably with the traditional methods, particularly in the aspect of eliminating the salt noise and conglutination phenomenon.

  6. Evaluation of DNA Extraction Methods Suitable for PCR-based Detection and Genotyping of Clostridium botulinum

    DEFF Research Database (Denmark)

    Auricchio, Bruna; Anniballi, Fabrizio; Fiore, Alfonsina

    2013-01-01

    Sufficient quality and quantity of extracted DNA is critical to detecting and performing genotyping of Clostridium botulinum by means of PCR-based methods. An ideal extraction method has to optimize DNA yield, minimize DNA degradation, allow multiple samples to be extracted, and be efficient...... in terms of cost, time, labor, and supplies. Eleven botulinum toxin–producing clostridia strains and 25 samples (10 food, 13 clinical, and 2 environmental samples) naturally contaminated with botulinum toxin–producing clostridia were used to compare 4 DNA extraction procedures: Chelex® 100 matrix, Phenol......-Cloroform-Isoamyl alcohol, NucliSENS® magnetic extraction kit, and DNeasy® Blood & Tissue kit. Integrity, purity, and amount of amplifiable DNA were evaluated. The results show that the DNeasy® Blood & Tissue kit is the best extraction method evaluated because it provided the most pure, intact, and amplifiable DNA. However...

  7. Effect of polysaccharides extract of rhizoma atractylodis macrocephalae on thymus, spleen and cardiac indexes, caspase-3 activity ratio, Smac/DIABLO and HtrA2/Omi protein and mRNA expression levels in aged rats.

    Science.gov (United States)

    Guo, Ling; Sun, Yong Le; Wang, Ai Hong; Xu, Chong En; Zhang, Meng Yuan

    2012-10-01

    This study was designed to determine the possible protective effect of polysaccharides extract of rhizoma atractylodis macrocephalae on heart function in aged rats. Polysaccharides extract of rhizoma atractylodis macrocephalae was administered to aged rats. Results showed that thymus, spleen and cardiac indexs were significantly increased, whereas caspase-3 activity ratio, Smac/DIABLO and HtrA2/Omi protein expression, Smac/DIABLO and HtrA2/Omi mRNA expression levels were markedly reduced. It can be concluded that polysaccharides extract of rhizoma atractylodis macrocephalae may enhance immunity and improve heart function in aged rats.

  8. Image-based mobile service: automatic text extraction and translation

    Science.gov (United States)

    Berclaz, Jérôme; Bhatti, Nina; Simske, Steven J.; Schettino, John C.

    2010-01-01

    We present a new mobile service for the translation of text from images taken by consumer-grade cell-phone cameras. Such capability represents a new paradigm for users where a simple image provides the basis for a service. The ubiquity and ease of use of cell-phone cameras enables acquisition and transmission of images anywhere and at any time a user wishes, delivering rapid and accurate translation over the phone's MMS and SMS facilities. Target text is extracted completely automatically, requiring no bounding box delineation or related user intervention. The service uses localization, binarization, text deskewing, and optical character recognition (OCR) in its analysis. Once the text is translated, an SMS message is sent to the user with the result. Further novelties include that no software installation is required on the handset, any service provider or camera phone can be used, and the entire service is implemented on the server side.

  9. Hexafluoroisopropanol-induced catanionic-surfactants-based coacervate extraction for analysis of lysozyme.

    Science.gov (United States)

    Xu, Jia; Niu, Manli; Xiao, Yuxiu

    2017-02-01

    A coacervate extraction method, based on hexafluoroisopropanol (HFIP)-induced catanionic surfactants and coupled with a back-extraction procedure, was developed for separation and purification of proteins, using sodium dodecyl sulfate (SDS) and dodecyltrimethyl ammonium bromide (DTAB) as representative catanionic surfactants and lysozyme as a model protein. After the coacervate extraction and back extraction, the obtained lysozyme solutions were examined in terms of quantitative analysis by capillary electrophoresis, bacteriolytic activity, and circular dichroism (CD). The effects of several parameters including back-extraction solvent, HFIP content, total surfactant concentration, and SDS/DTAB molar ratio were investigated in detail on the extraction efficiency and activity of lysozyme. Under the optimized extraction conditions (66 mM KH 2 PO 4 buffer with pH 6.2 as back-extraction solvent, SDS/DTAB molar ratio = 1:1 mol/mol, total surfactant concentration = 30 mM, HIFP concentration = 8 % v/v), the extraction recovery was 89.8 % (±4.7, n = 3), limit of detection was 2.2 (±0.3, n = 3) μg mL -1 , and meanwhile nearly 65 % of native lysozyme activity was retained. In addition, the activity and CD assays showed that SDS/DTAB molar ratio had a significant influence on the activity and structure of lysozyme after extraction. The DTAB-rich extraction systems, in which the DTAB mole fraction was equal to or larger than 70 %, could keep the activity and structure of lysozyme almost in the native state. Graphical Abstract Procedure of HFIP-induced SDS/DTAB coacervate extraction and back extraction of lysozyme.

  10. The optimal extraction of feature algorithm based on KAZE

    Science.gov (United States)

    Yao, Zheyi; Gu, Guohua; Qian, Weixian; Wang, Pengcheng

    2015-10-01

    As a novel method of 2D features extraction algorithm over the nonlinear scale space, KAZE provide a special method. However, the computation of nonlinear scale space and the construction of KAZE feature vectors are more expensive than the SIFT and SURF significantly. In this paper, the given image is used to build the nonlinear space up to a maximum evolution time through the efficient Additive Operator Splitting (AOS) techniques and the variable conductance diffusion. Changing the parameter can improve the construction of nonlinear scale space and simplify the image conductivities for each dimension space, with the predigest computation. Then, the detection for points of interest can exhibit a maxima of the scale-normalized determinant with the Hessian response in the nonlinear scale space. At the same time, the detection of feature vectors is optimized by the Wavelet Transform method, which can avoid the second Gaussian smoothing in the KAZE Features and cut down the complexity of the algorithm distinctly in the building and describing vectors steps. In this way, the dominant orientation is obtained, similar to SURF, by summing the responses within a sliding circle segment covering an angle of π/3 in the circular area of radius 6σ with a sampling step of size σ one by one. Finally, the extraction in the multidimensional patch at the given scale, centered over the points of interest and rotated to align its dominant orientation to a canonical direction, is able to simplify the description of feature by reducing the description dimensions, just as the PCA-SIFT method. Even though the features are somewhat more expensive to compute than SIFT due to the construction of nonlinear scale space, but compared to SURF, the result revels a step forward in performance in detection, description and application against the previous ways by the following contrast experiments.

  11. Polyethylenimine-based polyplex delivery of self-replicating RNA vaccines.

    Science.gov (United States)

    Démoulins, Thomas; Milona, Panagiota; Englezou, Pavlos C; Ebensen, Thomas; Schulze, Kai; Suter, Rolf; Pichon, Chantal; Midoux, Patrick; Guzmán, Carlos A; Ruggli, Nicolas; McCullough, Kenneth C

    2016-04-01

    Self-amplifying replicon RNA (RepRNA) are large molecules (12-14 kb); their self-replication amplifies mRNA template numbers, affording several rounds of antigen production, effectively increasing vaccine antigen payloads. Their sensitivity to RNase-sensitivity and inefficient uptake by dendritic cells (DCs) - absolute requirements for vaccine design - were tackled by condensing RepRNA into synthetic, nanoparticulate, polyethylenimine (PEI)-polyplex delivery vehicles. Polyplex-delivery formulations for small RNA molecules cannot be transferred to RepRNA due to its greater size and complexity; the N:P charge ratio and impact of RepRNA folding would influence polyplex condensation, post-delivery decompaction and the cytosolic release essential for RepRNA translation. Polyplex-formulations proved successful for delivery of RepRNA encoding influenza virus hemagglutinin and nucleocapsid to DCs. Cytosolic translocation was facilitated, leading to RepRNA translation. This efficacy was confirmed in vivo, inducing both humoral and cellular immune responses. Accordingly, this paper describes the first PEI-polyplexes providing efficient delivery of the complex and large, self-amplifying RepRNA vaccines. The use of self-amplifying replicon RNA (RepRNA) to increase vaccine antigen payloads can potentially be useful in effective vaccine design. Nonetheless, its use is limited by the degradation during the uptake process. Here, the authors attempted to solve this problem by packaging RepRNA using polyethylenimine (PEI)-polyplex delivery vehicles. The efficacy was confirmed in vivo by the appropriate humoral and cellular immune responses. This novel delivery method may prove to be very useful for future vaccine design. Copyright © 2015 Elsevier Inc. All rights reserved.

  12. Polymerase-free measurement of microRNA-122 with single base specificity using single molecule arrays: Detection of drug-induced liver injury.

    Directory of Open Access Journals (Sweden)

    David M Rissin

    Full Text Available We have developed a single probe method for detecting microRNA from human serum using single molecule arrays, with sequence specificity down to a single base, and without the use of amplification by polymerases. An abasic peptide nucleic acid (PNA probe-containing a reactive amine instead of a nucleotide at a specific position in the sequence-for detecting a microRNA was conjugated to superparamagnetic beads. These beads were incubated with a sample containing microRNA, a biotinylated reactive nucleobase-containing an aldehyde group-that was complementary to the missing base in the probe sequence, and a reducing agent. When a target molecule with an exact match in sequence hybridized to the capture probe, the reactive nucleobase was covalently attached to the backbone of the probe by a dynamic covalent chemical reaction. Single molecules of the biotin-labeled probe were then labeled with streptavidin-β-galactosidase (SβG, the beads were resuspended in a fluorogenic enzyme substrate, loaded into an array of femtoliter wells, and sealed with oil. The array was imaged fluorescently to determine which beads were associated with single enzymes, and the average number of enzymes per bead was determined. The assay had a limit of detection of 500 fM, approximately 500 times more sensitive than a corresponding analog bead-based assay, with target specificity down to a single base mis-match. This assay was used to measure microRNA-122 (miR-122-an established biomarker of liver toxicity-extracted from the serum of patients who had acute liver injury due to acetaminophen, and control healthy patients. All patients with liver injury had higher levels of miR-122 in their serum compared to controls, and the concentrations measured correlated well with those determined using RT-qPCR. This approach allows rapid quantification of circulating microRNA with single-based specificity and a limit of quantification suitable for clinical use.

  13. A novel murmur-based heart sound feature extraction technique using envelope-morphological analysis

    Science.gov (United States)

    Yao, Hao-Dong; Ma, Jia-Li; Fu, Bin-Bin; Wang, Hai-Yang; Dong, Ming-Chui

    2015-07-01

    Auscultation of heart sound (HS) signals serves as an important primary approach to diagnose cardiovascular diseases (CVDs) for centuries. Confronting the intrinsic drawbacks of traditional HS auscultation, computer-aided automatic HS auscultation based on feature extraction technique has witnessed explosive development. Yet, most existing HS feature extraction methods adopt acoustic or time-frequency features which exhibit poor relationship with diagnostic information, thus restricting the performance of further interpretation and analysis. Tackling such a bottleneck problem, this paper innovatively proposes a novel murmur-based HS feature extraction method since murmurs contain massive pathological information and are regarded as the first indications of pathological occurrences of heart valves. Adapting discrete wavelet transform (DWT) and Shannon envelope, the envelope-morphological characteristics of murmurs are obtained and three features are extracted accordingly. Validated by discriminating normal HS and 5 various abnormal HS signals with extracted features, the proposed method provides an attractive candidate in automatic HS auscultation.

  14. Viral RNA testing and automation on the bead-based CBNE detection microsystem.

    Energy Technology Data Exchange (ETDEWEB)

    Galambos, Paul C.; Bourdon, Christopher Jay; Farrell, Cara M.; Rossito, Paul (University of California at Davis); McClain, Jaime L.; Derzon, Mark Steven; Cullor, James Sterling (University of California at Davis); Rahimian, Kamayar

    2008-09-01

    We developed prototype chemistry for nucleic acid hybridization on our bead-based diagnostics platform and we established an automatable bead handling protocol capable of 50 part-per-billion (ppb) sensitivity. We are working towards a platform capable of parallel, rapid (10 minute), raw sample testing for orthogonal (in this case nucleic acid and immunoassays) identification of biological (and other) threats in a single sensor microsystem. In this LDRD we developed the nucleic acid chemistry required for nucleic acid hybridization. Our goal is to place a non-cell associated RNA virus (Bovine Viral Diarrhea, BVD) on the beads for raw sample testing. This key pre-requisite to showing orthogonality (nucleic acid measurements can be performed in parallel with immunoassay measurements). Orthogonal detection dramatically reduces false positives. We chose BVD because our collaborators (UC-Davis) can supply samples from persistently infected animals; and because proof-of-concept field testing can be performed with modification of the current technology platform at the UC Davis research station. Since BVD is a cattle-prone disease this research dovetails with earlier immunoassay work on Botulinum toxin simulant testing in raw milk samples. Demonstration of BVD RNA detection expands the repertoire of biological macromolecules that can be adapted to our bead-based detection. The resources of this late start LDRD were adequate to partially demonstrate the conjugation of the beads to the nucleic acids. It was never expected to be adequate for a full live virus test but to motivate that additional investment. In addition, we were able to reduce the LOD (Limit of Detection) for the botulinum toxin stimulant to 50 ppb from the earlier LOD of 1 ppm. A low LOD combined with orthogonal detection provides both low false negatives and low false positives. The logical follow-on steps to this LDRD research are to perform live virus identification as well as concurrent nucleic acid and

  15. Human Milk MicroRNA and Total RNA Differ Depending on Milk Fractionation.

    Science.gov (United States)

    Alsaweed, Mohammed; Hepworth, Anna R; Lefèvre, Christophe; Hartmann, Peter E; Geddes, Donna T; Hassiotou, Foteini

    2015-10-01

    MicroRNA have been recently discovered in human milk signifying potentially important functions for both the lactating breast and the infant. Whilst human milk microRNA have started to be explored, little data exist on the evaluation of sample processing, and analysis to ensure that a full spectrum of microRNA can be obtained. Human milk comprises three main fractions: cells, skim milk, and lipids. Typically, the skim milk fraction has been measured in isolation despite evidence that the lipid fraction may contain more microRNA. This study aimed to standardize isolation of microRNA and total RNA from all three fractions of human milk to determine the most appropriate sampling and analysis procedure for future studies. Three different methods from eight commercially available kits were tested for their efficacy in extracting total RNA and microRNA from the lipid, skim, and cell fractions of human milk. Each fraction yielded different concentrations of RNA and microRNA, with the highest quantities found in the cell and lipid fractions, and the lowest in skim milk. The column-based phenol-free method was the most efficient extraction method for all three milk fractions. Two microRNAs were expressed and validated in the three milk fractions by qPCR using the three recommended extraction kits for each fraction. High expression levels were identified in the skim and lipid milk factions for these microRNAs. These results suggest that careful consideration of both the human milk sample preparation and extraction protocols should be made prior to embarking upon research in this area. © 2015 The Authors. Journal of Cellular Biochemistry Published by Wiley Periodicals, Inc.

  16. MicroRNA prediction using a fixed-order Markov model based on the secondary structure pattern.

    Directory of Open Access Journals (Sweden)

    Wei Shen

    Full Text Available Predicting miRNAs is an arduous task, due to the diversity of the precursors and complexity of enzyme processes. Although several prediction approaches have reached impressive performances, few of them could achieve a full-function recognition of mature miRNA directly from the candidate hairpins across species. Therefore, researchers continue to seek a more powerful model close to biological recognition to miRNA structure. In this report, we describe a novel miRNA prediction algorithm, known as FOMmiR, using a fixed-order Markov model based on the secondary structural pattern. For a training dataset containing 809 human pre-miRNAs and 6441 human pseudo-miRNA hairpins, the model's parameters were defined and evaluated. The results showed that FOMmiR reached 91% accuracy on the human dataset through 5-fold cross-validation. Moreover, for the independent test datasets, the FOMmiR presented an outstanding prediction in human and other species including vertebrates, Drosophila, worms and viruses, even plants, in contrast to the well-known algorithms and models. Especially, the FOMmiR was not only able to distinguish the miRNA precursors from the hairpins, but also locate the position and strand of the mature miRNA. Therefore, this study provides a new generation of miRNA prediction algorithm, which successfully realizes a full-function recognition of the mature miRNAs directly from the hairpin sequences. And it presents a new understanding of the biological recognition based on the strongest signal's location detected by FOMmiR, which might be closely associated with the enzyme cleavage mechanism during the miRNA maturation.

  17. An automated procedure for covariation-based detection of RNA structure

    Energy Technology Data Exchange (ETDEWEB)

    Winker, S.; Overbeek, R.; Woese, C.R.; Olsen, G.J.; Pfluger, N.

    1989-12-01

    This paper summarizes our investigations into the computational detection of secondary and tertiary structure of ribosomal RNA. We have developed a new automated procedure that not only identifies potential bondings of secondary and tertiary structure, but also provides the covariation evidence that supports the proposed bondings, and any counter-evidence that can be detected in the known sequences. A small number of previously unknown bondings have been detected in individual RNA molecules (16S rRNA and 7S RNA) through the use of our automated procedure. Currently, we are systematically studying mitochondrial rRNA. Our goal is to detect tertiary structure within 16S rRNA and quaternary structure between 16S and 23S rRNA. Our ultimate hope is that automated covariation analysis will contribute significantly to a refined picture of ribosome structure. Our colleagues in biology have begun experiments to test certain hypotheses suggested by an examination of our program's output. These experiments involve sequencing key portions of the 23S ribosomal RNA for species in which the known 16S ribosomal RNA exhibits variation (from the dominant pattern) at the site of a proposed bonding. The hope is that the 23S ribosomal RNA of these species will exhibit corresponding complementary variation or generalized covariation. 24 refs.

  18. An automated procedure for covariation-based detection of RNA structure

    International Nuclear Information System (INIS)

    Winker, S.; Overbeek, R.; Woese, C.R.; Olsen, G.J.; Pfluger, N.

    1989-12-01

    This paper summarizes our investigations into the computational detection of secondary and tertiary structure of ribosomal RNA. We have developed a new automated procedure that not only identifies potential bondings of secondary and tertiary structure, but also provides the covariation evidence that supports the proposed bondings, and any counter-evidence that can be detected in the known sequences. A small number of previously unknown bondings have been detected in individual RNA molecules (16S rRNA and 7S RNA) through the use of our automated procedure. Currently, we are systematically studying mitochondrial rRNA. Our goal is to detect tertiary structure within 16S rRNA and quaternary structure between 16S and 23S rRNA. Our ultimate hope is that automated covariation analysis will contribute significantly to a refined picture of ribosome structure. Our colleagues in biology have begun experiments to test certain hypotheses suggested by an examination of our program's output. These experiments involve sequencing key portions of the 23S ribosomal RNA for species in which the known 16S ribosomal RNA exhibits variation (from the dominant pattern) at the site of a proposed bonding. The hope is that the 23S ribosomal RNA of these species will exhibit corresponding complementary variation or generalized covariation. 24 refs

  19. High Quality RNA Isolation from Leaf, Shell, Root Tissues and Callus of Hazelnut (Corylus avellana L.

    Directory of Open Access Journals (Sweden)

    Hossein Khosravi

    2017-12-01

    Full Text Available Extraction of high quality RNA is a critical step in molecular genetics studies. Hazelnut is one of the most important nuts plants in the world. The presence of the taxol and other taxanes in hazelnut plant necessitates explaining their biosynthesis pathway and identifying the candidate genes. Therefore, an easy and practical method is necessary for RNA extraction from hazelnuts. Hazelnut has high levels of phenolic compounds. High amounts of polyphenolic and polysaccharide compounds in plants could be causing problems in RNA extraction procedures.  To avoid these problems, a simple and efficient method can be used based on cetyltrimethylammonium bromide (CTAB extraction buffer and lithium chloride for extraction of high quality RNA from different parts of hazelnut plant. Using this method, a high-quality RNA sample (light absorbed in the A260/A280 was 2.04

  20. Plant MPSS databases: signature-based transcriptional resources for analyses of mRNA and small RNA

    OpenAIRE

    Nakano, Mayumi; Nobuta, Kan; Vemaraju, Kalyan; Tej, Shivakundan Singh; Skogen, Jeremy W.; Meyers, Blake C.

    2005-01-01

    MPSS (massively parallel signature sequencing) is a sequencing-based technology that uses a unique method to quantify gene expression level, generating millions of short sequence tags per library. We have created a series of databases for four species (Arabidopsis, rice, grape and Magnaporthe grisea, the rice blast fungus). Our MPSS databases measure the expression level of most genes under defined conditions and provide information about potentially novel transcripts (antisense transcripts, ...

  1. DNA Nanostructure-based Interfacial engineering for PCR-free ultrasensitive electrochemical analysis of microRNA

    Science.gov (United States)

    Wen, Yanli; Pei, Hao; Shen, Ye; Xi, Junjie; Lin, Meihua; Lu, Na; Shen, Xizhong; Li, Jiong; Fan, Chunhai

    2012-11-01

    MicroRNAs (miRNAs) have been identified as promising cancer biomarkers due to their stable presence in serum. As an alternative to PCR-based homogenous assays, surface-based electrochemical biosensors offer great opportunities for low-cost, point-of-care tests (POCTs) of disease-associated miRNAs. Nevertheless, the sensitivity of miRNA sensors is often limited by mass transport and crowding effects at the water-electrode interface. To address such challenges, we herein report a DNA nanostructure-based interfacial engineering approach to enhance binding recognition at the gold electrode surface and drastically improve the detection sensitivity. By employing this novel strategy, we can directly detect as few as attomolar (electrochemical miRNA sensor (EMRS) is highly reproducible and essentially free of prior target labeling and PCR amplification, we also demonstrate its application by analyzing miRNA expression levels in clinical samples from esophageal squamous cell carcinoma (ESCC) patients.

  2. SRMDAP: SimRank and Density-Based Clustering Recommender Model for miRNA-Disease Association Prediction

    Directory of Open Access Journals (Sweden)

    Xiaoying Li

    2018-01-01

    Full Text Available Aberrant expression of microRNAs (miRNAs can be applied for the diagnosis, prognosis, and treatment of human diseases. Identifying the relationship between miRNA and human disease is important to further investigate the pathogenesis of human diseases. However, experimental identification of the associations between diseases and miRNAs is time-consuming and expensive. Computational methods are efficient approaches to determine the potential associations between diseases and miRNAs. This paper presents a new computational method based on the SimRank and density-based clustering recommender model for miRNA-disease associations prediction (SRMDAP. The AUC of 0.8838 based on leave-one-out cross-validation and case studies suggested the excellent performance of the SRMDAP in predicting miRNA-disease associations. SRMDAP could also predict diseases without any related miRNAs and miRNAs without any related diseases.

  3. Comparison of bacterial communities in the Solimões and Negro River tributaries of the Amazon River based on small subunit rRNA gene sequences.

    Science.gov (United States)

    Peixoto, J C C; Leomil, L; Souza, J V; Peixoto, F B S; Astolfi-Filho, S

    2011-12-08

    The microbiota of the Amazon River basin has been little studied. We compared the structure of bacterial communities of the Solimões and Negro Rivers, the main Amazon River tributaries, based on analysis of 16S rRNA gene sequences. Water was sampled with a 3-L Van Dorn collection bottle; samples were collected at nine different points/depths totaling 27 L of water from each river. Total DNA was extracted from biomass retained by a 0.22-μm filter after sequential filtration of the water through 0.8- and 0.22-μm filters. The 16S rRNA gene was amplified by PCR, cloned and sequenced, and the sequences were analyzed with the PHYLIP and DOTUR programs to obtain the operational taxonomic units (OTUs) and to calculate the diversity and richness indices using the SPADE program. Taxonomic affiliation was determined using the naive Bayesian rRNA Classifier of the RDP II (Ribosomal Database Project). We recovered 158 sequences from the Solimões River grouped into 103 OTUs, and 197 sequences from the Negro River library grouped into 90 OTUs by the DOTUR program. The Solimões River was found to have a greater diversity of bacterial genera, and greater estimated richness of 446 OTUs, compared with 242 OTUs from the Negro River, as calculated by ACE estimator. The Negro River has less bacterial diversity, but more 16S rRNA gene sequences belonging to the bacterial genus Polynucleobacter were detected; 56 sequences from this genus were found (about 30% of the total sequences). We suggest that a more in-depth investigation be made to elucidate the role played by these bacteria in the river environment. These differences in bacterial diversity between Solimões and Negro Rivers could be explained by differences in organic matter content and pH of the rivers.