Literature DB >> 16458514

A genome-wide map of conserved microRNA targets in C. elegans.

Sabbi Lall1, Dominic Grün, Azra Krek, Kevin Chen, Yi-Lu Wang, Colin N Dewey, Pranidhi Sood, Teresa Colombo, Nicolas Bray, Philip Macmenamin, Huey-Ling Kao, Kristin C Gunsalus, Lior Pachter, Fabio Piano, Nikolaus Rajewsky.   

Abstract

BACKGROUND: Metazoan miRNAs regulate protein-coding genes by binding the 3' UTR of cognate mRNAs. Identifying targets for the 115 known C. elegans miRNAs is essential for understanding their function.
RESULTS: By using a new version of PicTar and sequence alignments of three nematodes, we predict that miRNAs regulate at least 10% of C. elegans genes through conserved interactions. We have developed a new experimental pipeline to assay 3' UTR-mediated posttranscriptional gene regulation via an endogenous reporter expression system amenable to high-throughput cloning, demonstrating the utility of this system using one of the most intensely studied miRNAs, let-7. Our expression analyses uncover several new potential let-7 targets and suggest a new let-7 activity in head muscle and neurons. To explore genome-wide trends in miRNA function, we analyzed functional categories of predicted target genes, finding that one-third of C. elegans miRNAs target gene sets are enriched for specific functional annotations. We have also integrated miRNA target predictions with other functional genomic data from C. elegans.
CONCLUSIONS: At least 10% of C. elegans genes are predicted miRNA targets, and a number of nematode miRNAs seem to regulate biological processes by targeting functionally related genes. We have also developed and successfully utilized an in vivo system for testing miRNA target predictions in likely endogenous expression domains. The thousands of genome-wide miRNA target predictions for nematodes, humans, and flies are available from the PicTar website and are linked to an accessible graphical network-browsing tool allowing exploration of miRNA target predictions in the context of various functional genomic data resources.

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Year:  2006        PMID: 16458514     DOI: 10.1016/j.cub.2006.01.050

Source DB:  PubMed          Journal:  Curr Biol        ISSN: 0960-9822            Impact factor:   10.834


  193 in total

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Authors:  Jr-Shiuan Yang; Michael D Phillips; Doron Betel; Ping Mu; Andrea Ventura; Adam C Siepel; Kevin C Chen; Eric C Lai
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Review 4.  Genome-wide approaches in the study of microRNA biology.

Authors:  Melissa L Wilbert; Gene W Yeo
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2010-12-31

5.  Maternal cigarette smoking during pregnancy is associated with downregulation of miR-16, miR-21, and miR-146a in the placenta.

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Journal:  Epigenetics       Date:  2010-10-01       Impact factor: 4.528

6.  Most mammalian mRNAs are conserved targets of microRNAs.

Authors:  Robin C Friedman; Kyle Kai-How Farh; Christopher B Burge; David P Bartel
Journal:  Genome Res       Date:  2008-10-27       Impact factor: 9.043

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

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Journal:  BMC Bioinformatics       Date:  2009-12-16       Impact factor: 3.169

8.  The let-7 microRNA interfaces extensively with the translation machinery to regulate cell differentiation.

Authors:  Xavier C Ding; Frank J Slack; Helge Grosshans
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9.  The impact of microRNAs on protein output.

Authors:  Daehyun Baek; Judit Villén; Chanseok Shin; Fernando D Camargo; Steven P Gygi; David P Bartel
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10.  MYCN-regulated microRNAs repress estrogen receptor-alpha (ESR1) expression and neuronal differentiation in human neuroblastoma.

Authors:  Jakob Lovén; Nikolay Zinin; Therese Wahlström; Inga Müller; Petter Brodin; Erik Fredlund; Ulf Ribacke; Andor Pivarcsi; Sven Påhlman; Marie Henriksson
Journal:  Proc Natl Acad Sci U S A       Date:  2010-01-04       Impact factor: 11.205

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