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Physiological identification of human transcripts translationally regulated by a specific microRNA
Author(s) -
M. Nakamoto,
Jin Peng,
William T. O'Donnell,
Stephen T. Warren
Publication year - 2005
Publication title -
human molecular genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.811
H-Index - 276
eISSN - 1460-2083
pISSN - 0964-6906
DOI - 10.1093/hmg/ddi397
Subject(s) - biology , gene knockdown , microrna , translation (biology) , messenger rna , polysome , computational biology , gene , endogeny , gene expression , regulation of gene expression , microbiology and biotechnology , genetics , rna , ribosome , biochemistry
One mechanism by which endogenous microRNAs (miRNAs) function is to suppress translation of target mRNAs. Computational identification of target mRNAs is hampered by the partial complementarity between miRNAs and their targets and the lack of in vivo approaches to identify targets. Here, we identify mRNAs that are regulated by specific endogenous miRNA by detecting shifts in individual mRNA abundance in polyribosome profiles following miRNA knockdown via siRNA. We have identified human genes whose mRNAs were found at significantly increased levels in the heavy polyribosome fractions following miRNA miR-30a-3p knockdown. If antibody was available, targets showed an increase in protein levels following the miRNA knockdown and a decrease following the miRNA overexpression. Although all identified transcripts have sequences that partially complement miR-30a-3p, none was identified by commonly used computational means. These data suggest that the functional interaction between miRNAs and mRNA targets is more complex than previously realized and describe an approach to refine predictive algorithms.

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