Genesilencing : New Products: AMS Biotechnology's... Physorg_biology : Unravelling the function of... Unravelling the function of small RNAs. Small non-coding RNAs (ncRNAs) play a hitherto unrecognised role in regulation of gene expression. To broaden knowledge on the function and evolution of these molecules, a EU project investigated various classes of regulatory RNAs in different kingdoms. Regulatory RNAs include microRNAs, small nucleolar RNAs, and bacterial small RNAs: Their role in regulation and modulation of gene expression is just beginning to be realised. The past 10 years have seen an unprecedented accumulation of evidence presenting RNAs as ubiquitous regulators rather than merely passive transmitters of genetic information.
Biologically, this implies that small RNAs are involved in the control of physiological responses, developmental checkpoints, disease-associated genes and virulence traits. The experimental work carried out by project partners was geared toward an in-depth understanding of RNA-mediated regulation in a variety of chosen model organisms. GeneQuan : GeneQuan Daily NEWS wurde gerade... Bio_Network : Multiple...
Life_Sciences_ : Multiple... Socrates_Logos : Designing and using RNA scaffolds... BioMedCentral : RT @sgivan: Optimizing de novo... MiRNANews : AstraZeneca Partners on miRNA... Genome10K : RT @ENCODE_NIH: New ENCODE... Genetics_blog : $345 for a RNA-seq how-to DVD? LettsScience : Discovery of new functional... GenomicsIo : Quantitative... Quantitative RNA-Seq analysis in non-model species. How well does RNA-Seq data perform for quantitative whole gene expression analysis in the absence of a genome? This is one unanswered question facing the rapidly growing number of researchers studying non-model species.
Researchers at the University of Helsinki, Finland have tried to answer that question by comparing the direct mapping of sequencing reads to predicted genes from the genome with mapping to de novo transcriptomes assembled from RNA-Seq data. Eight transcriptome sets, composed of varying amounts of Illumina and 454 data, were assembled and assessed. Hybrid 454/Illumina assemblies had the highest transcriptome and individual gene coverage. Quantitative whole gene expression levels were highly similar between using a de novo hybrid assembly and the predicted genes as a scaffold, although mapping to the de novo transcriptome assembly provided data on fewer genes. Genomeresearch : RT @epicentrebio: Long non-coding...
ENCODE_NIH : New ENCODE Track Release... LettsScience : Delivery of single siRNA to... Genesilencing : Arrowhead Inks Non-RNAi... Genesilencing : Arrowhead Promises RNAi Deal,... FurnoX : RT @Clonegene: 4C8 , Excellent... Life_Sciences_ : Bio_Network: EpiExperts : Like RNA mods? Here's a Nature... LifeTechSupport : RNA Library Construction (Small... GenomicsIo : Rudimentary... Rudimentary Analysis of RNA‐Seq data. Bio_Network : How the... Life_Sciences_ : How the... Genomengin : ArcticZymes Heat&Run removes... Life_Sciences_ : Annotating... Bio_Network : Bio_Network : Annotating... Life_Sciences_ : View All. Genomengin : ArcticZymes Heat&Run removes... Bio_Network : MiRNA... Life_Sciences_ : MiRNA... GenomicsIo : Largest... Largest RNA-Seq study of individuals with schizophrenia to date. Upregulation of the immune response may be involved in the pathogenesis of schizophrenia with changes occurring in both peripheral blood and brain tissue.
To date, microarray technology has provided a limited view of specific inflammatory transcripts in brain perhaps due to sensitivity issues. Now, a team led by researchers at Neuroscience Research Australia has used SOLiD Next Generation Sequencing to quantify neuroimmune mRNA expression levels in the dorsolateral prefrontal cortex of 20 individuals with schizophrenia and their matched controls. The current study is among the first to use NGS to examine the transcriptome of DLPFC from 20 individuals with schizophrenia and 20 matched controls, providing the most sensitive examination of gene expression changes in schizophrenia available to date. The research team detected 798 differentially regulated transcripts present in people with schizophrenia compared with controls. EpiExperts : Happy Mon! Via RNA-Seq Blog,...
Genome10K : RT @multi_cellular: We have... CellPressNews : RT @CellCellPress: RNA... CellCellPress : RNA Localization Patterns in... Anamika13 : #RNA #Biomarkers in #Clinical... NatureRevMicro : Recoding discovers two... Genomengin : Quantitative RNA-Seq analysis... 1DegreeBio : Looking for RNA northern blot... FurnoX : LincRNA-p21 Suppresses Target...
LincRNA-p21 Suppresses Target mRNA Translation. [Mol Cell. 2012. FurnoX : Viroid RNA redirects host DNA... Life_Sciences_ : Annotating... Bio_Network : Annotating... Socrates_Logos : SYNTHETIC BIOLOGY Understudies... Life_Sciences_ : Inhibition... Bio_Network: Inhibition... Socrates_Logos : Squaring theory with practice... Current Opinion in Structural Biology - Squaring theory with practice in RNA design. Volume 22, Issue 4, August 2012, Pages 457–466 Engineering and design / Membranes Edited By Jane Clarke, William Schief, Tamir Gonen and Gabriel Waksman Ribonucleic acid (RNA) design offers unique opportunities for engineering genetic networks and nanostructures that self-assemble within living cells. Recent years have seen the creation of increasingly complex RNA devices, including proof-of-concept applications for in vivo three-dimensional scaffolding, imaging, computing, and control of biological behaviors.
Expert intuition and simple design rules — the stability of double helices, the modularity of noncanonical RNA motifs, and geometric closure — have enabled these successful applications. Going beyond heuristics, emerging algorithms may enable automated design of RNAs with nucleotide-level accuracy but, as illustrated on a recent RNA square design, are not yet fully predictive.
Highlights Copyright © 2012 Elsevier Ltd. Bio_Network : Expression... Life_Sciences_ : Expression... Bio_Network : Glutathione... Life_Sciences_ : Glutathione... Genomengin : Analysis of CLIP and iCLIP... Life_Sciences_ : The mRNA... Bio_Network : The mRNA... Bio_Network : Rate of... Life_Sciences_ : Rate of... Natural Sciences Bibliography | 350,000 References and More. LifeTechSupport : RNA Library Construction (Small... GraveleyLab : RT @RNAJournal: "Deep sequencing... GraveleyLab : RT @RNAJournal: "REVIEW:... Assemblathon : RT @multi_cellular: We have... BioMedCentral : sRNAdb: A small non-coding... MiRNANews : Altered miRNA and gene expression... Genomengin : Interacting small RNA pathways... EpiGeneSysFP7 : CSR-1 RNAi pathway positively... EpiGeneSysFP7 : Endogenous RNAi machinery and... Bio_Network : Modeling... Life_Sciences_ : Modeling... View All.
Rnomics_bioscience.