z-logo
open-access-imgOpen Access
Differential Sensitivity of Target Genes to Translational Repression by miR-17~92
Author(s) -
Hyun Yong Jin,
Hiroyo Oda,
Pengda Chen,
Chao Yang,
Xiaojuan Zhou,
Seung Goo Kang,
Elizabeth R. Valentine,
Jennifer M. Kefauver,
Lujian Liao,
Yaoyang Zhang,
Alicia González-Martín,
Jovan Shepherd,
Gareth J. Morgan,
Tony S. Mondala,
Steven R. Head,
Pyeung-Hyeun Kim,
Nengming Xiao,
Guo Fu,
WenHsien Liu,
Jiahuai Han,
James R. Williamson,
Changchun Xiao
Publication year - 2017
Publication title -
plos genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.587
H-Index - 233
eISSN - 1553-7404
pISSN - 1553-7390
DOI - 10.1371/journal.pgen.1006623
Subject(s) - biology , microrna , gene , transcriptome , psychological repression , gene expression , regulation of gene expression , genetics , untranslated region , function (biology) , transgene , computational biology , microbiology and biotechnology , messenger rna
MicroRNAs (miRNAs) are thought to exert their functions by modulating the expression of hundreds of target genes and each to a small degree, but it remains unclear how small changes in hundreds of target genes are translated into the specific function of a miRNA. Here, we conducted an integrated analysis of transcriptome and translatome of primary B cells from mutant mice expressing miR-17~92 at three different levels to address this issue. We found that target genes exhibit differential sensitivity to miRNA suppression and that only a small fraction of target genes are actually suppressed by a given concentration of miRNA under physiological conditions. Transgenic expression and deletion of the same miRNA gene regulate largely distinct sets of target genes. miR-17~92 controls target gene expression mainly through translational repression and 5’UTR plays an important role in regulating target gene sensitivity to miRNA suppression. These findings provide molecular insights into a model in which miRNAs exert their specific functions through a small number of key target genes.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here