Combinatorial microRNA target predictions

By A. Krek, Dominic Grün, Matthew N. Poy, Rachel Z. Wolf, Lauren Rosenberg, E. J. Epstein, P. MacMenamin, I. Piedade, Kristin C. Gunsalus, M. Stoffel and 1 more. Nature Genetics, 2005

4,848 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/240aa3fbe87b1fb085815baa87cca8bd04f52f70

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Citations in the corpus

The role of microRNA-1 and microRNA-133 in skeletal muscle proliferation and differentiation (2006, background): “Many computational and/or bioinformatics-based approaches have been used to predict numerous potential targets of miRNA”
Identifying miRNAs, targets and functions (2012, methodology): “This method also adopts the Wiki model for functional annotation, which is an open environment allowing anyone with internet access to make contributions. miRò [65] associates miRNAs with phenotypes by integrating miRNA annotation and target databases, such as miRBase, miRNA Atlas, TargetScan, PicT”
Fusobacterium nucleatum Promotes Chemoresistance to Colorectal Cancer by Modulating Autophagy (2017, background): “MiRNAs often regulate gene expression by binding to the RISC complex and directing sequence-specific cleavage of target mRNA or repressing the target mRNA translation (Bartel, 2009; Krek et al., 2005).”
mirDIP 4.1—integrative database of human microRNA target predictions (2017, unknown): “NbmiRTar 2007 yes yes (71) PACCMIT 2012 2013 yes yes yes (72) PicTar 2005 2007 yes yes (73)”
Structure and dynamics of molecular networks: A novel paradigm of drug discovery: A comprehensive review (2012, methodology): “ 2010 TarBase mRNA–microRNA target information http://diana.cslab.ece.ntua.gr/tarbase Vergoulis et al., 2012 TargetScan http://www.targetscan.org Lewis et al., 2005 PicTar http://pictar.mdc-berlin.de Krek et al., 2005 miRecords Integrated resource of microRNA target information http://mirecords.biol”
miRBase: integrating microRNA annotation and deep-sequencing data (2010, methodology): “In its place, we will develop an aggregation service that integrates microRNA target predictions from all the popular target prediction sites [for example, TargetScan (19), PicTar (20), microCosm, DIANA-microT (21), microrna.”
Altered expression of MicroRNA in synovial fibroblasts and synovial tissue in rheumatoid arthritis. (2008, background): “In addition, several studies have shown that an individual mRNA can be targeted by numerous miRNA ( 7 ).”
Induction and regulatory function of miR-9 in human monocytes and neutrophils exposed to proinflammatory signals (2009, background): “In agreement with this, the public database of animal miRNA miRGen (available at http://www. diana.pcbi.upenn.edu/miRGen/v3/miRGen.html), which integrates analysis from PicTar (16), MiRanda (17), and TargetScan (18), predicted among high score miR-9 targets the transcriptional regulators Onecut2 and”
Antagonism of microRNA-122 in mice by systemically administered LNA-antimiR leads to up-regulation of a large set of predicted target mRNAs in the liver (2007, unknown): “Taken together, our data suggest that miR122 negatively regulates the expression of a large number of target mRNAs in adult mouse liver, which is in good agreement with reports from Drosophila and vertebrates (14,45).”
A search for conserved sequences in coding regions reveals that the let-7 microRNA targets Dicer within its coding sequence (2008, unknown): “[3]”
Global and Local Architecture of the Mammalian microRNA–Transcription Factor Regulatory Network (2007, methodology): “PicTar targets were downloaded 25 September 2006 from the UCSC hg17 database [7,32] where they are presented as the picTarMiRNA4Way track.”