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PMID: 16355253 Published · ppublish English Journal Article Research Support, N.I.H., Extramural Research Support, U.S. Gov't, Non-P.H.S.

Revealing posttranscriptional regulatory elements through network-level conservation.

PLoS computational biology ·Vol. 1 ·No. 7 ·2005-12-00 ·Pages e69

Chan CS, Elemento O, Tavazoie S

Abstract

We used network-level conservation between pairs of fly (Drosophila melanogaster/D. pseudoobscura) and worm (Caenorhabditis elegans/C. briggsae) genomes to detect highly conserved mRNA motifs in 3' untranslated regions. Many of these elements are complementary to the 5' extremity of known microRNAs (miRNAs), and likely correspond to their target sites. We also identify known targets of RNA-binding proteins, and many novel sites not yet known to be functional. Coherent sets of genes with similar function often bear the same conserved elements, providing new insights into their cellular functions. We also show that target sites for distinct miRNAs are often simultaneously conserved, suggesting combinatorial regulation by multiple miRNAs. A genome-wide search for conserved stem-loops, containing complementary sequences to the novel sites, revealed many new candidate miRNAs that likely target them. We also provide evidence that posttranscriptional networks have undergone extensive rewiring across distant phyla, despite strong conservation of regulatory elements themselves.

MeSH Terms
3' Untranslated Regions/genetics Animals Base Sequence Caenorhabditis/classification,genetics,metabolism Conserved Sequence/genetics Drosophila/classification,genetics,metabolism Genome MicroRNAs/genetics,metabolism Protein Processing, Post-Translational Regulatory Sequences, Nucleic Acid/genetics
Chemicals
3' Untranslated Regions MicroRNAs
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Chan Chang S
Department of Molecular Biology and The Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey, USA.
Elemento Olivier
Tavazoie Saeed
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Article Info
Journal
PLoS computational biology
Abbr.
PLoS Comput Biol
ISSN
1553-7358
Published
2005-12-00
Epub
2005-00-09
Pages
e69
Language
English
Region
United States
NLM ID
101238922
PMCID
PMC1309705
Subset
IM
Grants
NHGRI NIH HHS · R56 HG003219 · United States
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