mrSNP is a highly adaptable and performing web based tool for predicting the effect a 3′UTR SNP will have on miRNA binding. This tool has advantages over existing algorithms because it can assess the effect of novel SNPs on miRNA binding without requiring significant hands on time.
Project home page: http://mrsnp.osu.edu
License: Free for commercial and academic use
MicroRNAs (miRNAs) bind to sites in the 3′untranslated regions (3′UTR) of a targeted messenger RNA (mRNA). Binding leads to degradation of the transcript or blocked translation resulting in decreased expression of the targeted gene. Single nucleotide polymorphisms (SNPs) have been found in 3′UTRs that disrupt normal miRNA binding or introduce new binding sites and some of these have been associated with disease pathogenesis. This raises the importance of detecting miRNA targets and [click to continue…]
ST. LOUIS, Mo., May 5, 2011 /PRNewswire/ — Sigma Life Science, the innovative biological products and services research business of Sigma-Aldrich® (Nasdaq: SIAL), and King’s College London, today announced an exclusive license to develop and commercialize new technology for the identification and validation of microRNA (miRNA) targets in research and clinical diagnostics. For more detailed information, visit www.wherebiobegins.com/targetid.
miRNAs function as critical regulators of gene expression in eukaryotic cells, with more than 1,000 different miRNAs in the human genome already known to play multiple roles in gene regulation. Although the specific targets of most miRNAs are largely unknown, aberrant expression of miRNAs has been implicated in numerous disease states, making them important targets for clinical research in oncology, wound healing and infectious disease.
Currently, identification of miRNA targets is laborious and inefficient, relying on computer algorithms and subsequent validation by in vitro assays. To overcome this research bottleneck, scientists in the Division of Cancer Studies at King’s have developed a technology allowing simple, accurate identification and validation of miRNA targets. Dr. Joop Gaken, lead researcher of this project, explained, “The role of miRNAs in cancer is well established, and several miRNAs clearly [click to continue…]
A critical step in elucidating miRNA function is identifying potential miRNA targets and, although many computational tools have been developed for predicting animal miRNA targets, few tools are available for identifying plant miRNA targets.
There are currently three tools [miRU (Zhang, 2005), Helper tools (Moxon, et al., 2008), and TAPIR (Bonnet, et al., 2010)]
Because previous studies have demonstrated that most plant miRNAs cleave targets by perfectly or near-perfectly binding to their target, these 3 currently available tools predict plant miRNA targets based on very strictly limited criteria.
However, recent studies show that some miRNAs may inhibit translation by non-perfectly binding to target mRNAs with more potential target sites requiring a new computational program with more flexible criteria.
Target-align is available at: http://www.leonxie.com/targetAlign.php.
Xie F, Zhang B. (2010) Target-align: a tool for plant microRNA target identification. Bioinformatics [Epub ahead of print]. [abstract]
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miRecords is resource for animal miRNA-target interactions developed at the University of Minnesota. miRecords consists of two components. The Validated Targets component is a large, high-quality database of experimentally validated miRNA targets resulting from meticulous literature curation. The Predicted Targets component of miRecords is an integration of predicted miRNA targets produced by 11 established miRNA target prediction programs
PicTar is an algorithm for the identification of microRNA targets. This searchable website provides details (3′ UTR alignments with predicted sites, links to various public databases etc) regarding microRNA target predictions in vertebrates, several Drosophila species, and C. elegans.
miRanda is an algorithm for finding genomic targets for microRNAs. This algorithm has been written in C and is available as an open-source method under the GPL. MiRanda was developed at the Computational Biology Center of Memorial Sloan-Kettering Cancer Center. This software will be further developed under the open source model, coordinated by Anton Enright and Chris Sander (firstname.lastname@example.org).
TargetScan: Prediction of microRNA targets – These are the most recent TargetScanS predictions (April 2005). They are essentially the 3′UTR targets reported in the Lewis et al., 2005 paper, with a few changes arising from updated gene boundary definitions from the April 2005 UCSC genome browser mapping of RefSeq mRNAs to the hg17 human genome assembly. To avoid difficulties in browser display, the few predictions spanning splice junctions are excluded. [click to continue…]
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