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Dual Regulation of the lin-14 Target mRNA by the lin-4 miRNA

Overview of attention for article published in PLOS ONE, September 2013
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Title
Dual Regulation of the lin-14 Target mRNA by the lin-4 miRNA
Published in
PLOS ONE, September 2013
DOI 10.1371/journal.pone.0075475
Pubmed ID
Authors

Zhen Shi, Gabriel Hayes, Gary Ruvkun

Abstract

microRNAs (miRNAs) are ∼22 nt regulatory RNAs that in animals typically bind with partial complementarity to sequences in the 3' untranslated (UTR) regions of target mRNAs, to induce a decrease in the production of the encoded protein. The relative contributions of translational inhibition of intact mRNAs and degradation of mRNAs caused by binding of the miRNA vary; for many genetically validated miRNA targets, translational repression has been implicated, whereas some analyses of other miRNA targets have revealed only modest translational repression and more significant mRNA destabilization. In Caenorhabditis elegans, the lin-4 miRNA accumulates during early larval development, binds to target elements in the lin-14 mRNA, and causes a sharp decrease in the abundance of LIN-14 protein. Here, we monitor the dynamics of lin-14 mRNA and protein as well as lin-4 miRNA levels in finely staged animals during early larval development. We find complex regulation of lin-14, with the abundance of lin-14 mRNA initially modestly declining followed by fluctuation but little further decline of lin-14 mRNA levels accompanied by continuing and more dramatic decline in LIN-14 protein abundance. We show that the translational inhibition of lin-14 is dependent on binding of the lin-4 miRNA to multiple lin-4 complementary sites in the lin-14 3'UTR. Our results point to the importance of translational inhibition in silencing of lin-14 by the lin-4 miRNA.

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Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 22%
Student > Ph. D. Student 7 19%
Student > Master 6 16%
Student > Bachelor 4 11%
Student > Doctoral Student 1 3%
Other 2 5%
Unknown 9 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 32%
Agricultural and Biological Sciences 11 30%
Veterinary Science and Veterinary Medicine 2 5%
Business, Management and Accounting 1 3%
Computer Science 1 3%
Other 2 5%
Unknown 8 22%