Literature DB >> 16373484

TarBase: A comprehensive database of experimentally supported animal microRNA targets.

Praveen Sethupathy1, Benoit Corda, Artemis G Hatzigeorgiou.   

Abstract

MicroRNAs (miRNAs) are approximately 22-nt RNA segments that are involved in the regulation of protein expression primarily by binding to one or more target sites on an mRNA transcript and inhibiting translation. MicroRNAs are likely to factor into multiple developmental pathways, multiple mechanisms of gene regulation, and underlie an array of inherited disease processes and phenotypic determinants. Several computational programs exist to predict miRNA targets in mammals, fruit flies, worms, and plants. However, to date, there is no systematic collection and description of miRNA targets with experimental support. We describe a database, TarBase, which houses a manually curated collection of experimentally tested miRNA targets, in human/mouse, fruit fly, worm, and zebrafish, distinguishing between those that tested positive and those that tested negative. Each positive target site is described by the miRNA that binds it, the gene in which it occurs, the nature of the experiments that were conducted to test it, the sufficiency of the site to induce translational repression and/or cleavage, and the paper from which all these data were extracted. Additionally, the database is functionally linked to several other useful databases such as Gene Ontology (GO) and UCSC Genome Browser. TarBase reveals significantly more experimentally supported targets than even recent reviews claim, thereby providing a comprehensive data set from which to assess features of miRNA targeting that will be useful for the next generation of target prediction programs. TarBase can be accessed at http://www.diana.pcbi.upenn.edu/tarbase.

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Year:  2005        PMID: 16373484      PMCID: PMC1370898          DOI: 10.1261/rna.2239606

Source DB:  PubMed          Journal:  RNA        ISSN: 1355-8382            Impact factor:   4.942


  46 in total

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2.  Pervasive regulation of Drosophila Notch target genes by GY-box-, Brd-box-, and K-box-class microRNAs.

Authors:  Eric C Lai; Bergin Tam; Gerald M Rubin
Journal:  Genes Dev       Date:  2005-04-15       Impact factor: 11.361

3.  RNAi-mediated allelic trans-interaction at the imprinted Rtl1/Peg11 locus.

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Journal:  Curr Biol       Date:  2005-04-26       Impact factor: 10.834

4.  Antisense-mediated depletion reveals essential and specific functions of microRNAs in Drosophila development.

Authors:  Dan Leaman; Po Yu Chen; John Fak; Abdullah Yalcin; Michael Pearce; Ulrich Unnerstall; Debora S Marks; Chris Sander; Thomas Tuschl; Ulrike Gaul
Journal:  Cell       Date:  2005-07-01       Impact factor: 41.582

5.  RAS is regulated by the let-7 microRNA family.

Authors:  Steven M Johnson; Helge Grosshans; Jaclyn Shingara; Mike Byrom; Rich Jarvis; Angie Cheng; Emmanuel Labourier; Kristy L Reinert; David Brown; Frank J Slack
Journal:  Cell       Date:  2005-03-11       Impact factor: 41.582

6.  The cold shock domain protein LIN-28 controls developmental timing in C. elegans and is regulated by the lin-4 RNA.

Authors:  E G Moss; R C Lee; V Ambros
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7.  Systematic discovery of regulatory motifs in human promoters and 3' UTRs by comparison of several mammals.

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8.  c-Myc-regulated microRNAs modulate E2F1 expression.

Authors:  Kathryn A O'Donnell; Erik A Wentzel; Karen I Zeller; Chi V Dang; Joshua T Mendell
Journal:  Nature       Date:  2005-06-09       Impact factor: 49.962

9.  microRNA target predictions across seven Drosophila species and comparison to mammalian targets.

Authors:  Dominic Grün; Yi-Lu Wang; David Langenberger; Kristin C Gunsalus; Nikolaus Rajewsky
Journal:  PLoS Comput Biol       Date:  2005-06-24       Impact factor: 4.475

10.  Prediction and verification of microRNA targets by MovingTargets, a highly adaptable prediction method.

Authors:  Craig Burgler; Paul M Macdonald
Journal:  BMC Genomics       Date:  2005-06-08       Impact factor: 3.969

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  278 in total

1.  Computational methods for the identification of microRNA targets.

Authors:  Yang Dai; Xiaofeng Zhou
Journal:  Open Access Bioinformatics       Date:  2010-05-01

Review 2.  Shielding the messenger (RNA): microRNA-based anticancer therapies.

Authors:  Elena Sotillo; Andrei Thomas-Tikhonenko
Journal:  Pharmacol Ther       Date:  2011-04-14       Impact factor: 12.310

3.  Flanking region sequence information to refine microRNA target predictions.

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Journal:  J Biosci       Date:  2010-03       Impact factor: 1.826

4.  Identification of microRNAs associated with hyperthermia-induced cellular stress response.

Authors:  Gerald J Wilmink; Caleb L Roth; Bennett L Ibey; Norma Ketchum; Joshua Bernhard; Cesario Z Cerna; William P Roach
Journal:  Cell Stress Chaperones       Date:  2010-03-30       Impact factor: 3.667

5.  A MACHINE LEARNING APPROACH FOR miRNA TARGET PREDICTION.

Authors:  Hui Liu; Dong Yue; Lin Zhang; Zhiqiang Bai; Xiufen Lei; Shou-Jiang Gao; Yufei Huang
Journal:  IEEE Int Workshop Genomic Signal Process Stat       Date:  2008-06-08

Review 6.  Toward a complete in silico, multi-layered embryonic stem cell regulatory network.

Authors:  Huilei Xu; Christoph Schaniel; Ihor R Lemischka; Avi Ma'ayan
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2010 Nov-Dec

7.  Serum microRNA profiles among dioxin exposed veterans with monoclonal gammopathy of undetermined significance.

Authors:  Weixin Wang; Youn K Shim; Joel E Michalek; Emily Barber; Layla M Saleh; Byeong Yeob Choi; Chen-Pin Wang; Norma Ketchum; Rene Costello; Gerald E Marti; Robert F Vogt; Ola Landgren; Katherine R Calvo
Journal:  J Toxicol Environ Health A       Date:  2020-04-14

8.  In silico method for systematic analysis of feature importance in microRNA-mRNA interactions.

Authors:  Jiamin Xiao; Yizhou Li; Kelong Wang; Zhining Wen; Menglong Li; Lifang Zhang; Xuanmin Guang
Journal:  BMC Bioinformatics       Date:  2009-12-16       Impact factor: 3.169

9.  Expression patterns of microRNAs in the chorioamniotic membranes: a role for microRNAs in human pregnancy and parturition.

Authors:  D Montenegro; R Romero; S S Kim; A L Tarca; S Draghici; J P Kusanovic; J S Kim; D C Lee; O Erez; F Gotsch; S S Hassan; C J Kim
Journal:  J Pathol       Date:  2009-01       Impact factor: 7.996

Review 10.  MicroRNAs in ovarian carcinomas.

Authors:  Neetu Dahiya; Patrice J Morin
Journal:  Endocr Relat Cancer       Date:  2010-01-29       Impact factor: 5.678

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