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Direct measurement of pervasive weak repression by microRNAs and their role at the network level

Overview of attention for article published in BMC Genomics, May 2018
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Title
Direct measurement of pervasive weak repression by microRNAs and their role at the network level
Published in
BMC Genomics, May 2018
DOI 10.1186/s12864-018-4757-z
Pubmed ID
Authors

Fuqiang Ma, Pei Lin, Qingjian Chen, Xuemei Lu, Yong E. Zhang, Chung-I Wu

Abstract

A gene regulatory network (GRN) comprises many weak links that are often regulated by microRNAs. Since miRNAs rarely repress their target genes by more than 30%, doubts have been expressed about the biological relevance of such weak effects. These doubts raise the possibility of under-estimation as miRNA repression is usually estimated indirectly from equilibrium expression levels. To measure miRNA repression directly, we inhibited transcript synthesis in Drosophila larvae and collected time-course data on mRNA abundance, the decline of which reflects transcript degradation. The rate of target degradation in the absence of miR310s, a moderately expressed miRNA family, was found to decrease by 5 to 15%. A conventional analysis that does not remove transcript synthesis yields an estimate of 6.5%, within the range of the new estimates. These data permit further examinations of the repression mechanisms by miRNAs including seed matching types, APA (alternative polyadenylation) sites, effects of other highly-expressed miRNAs and the length of 3'UTR. Our direct measurements suggest the latter two factors have a measurable effect on decay rate. The direct measurement confirms pervasive weak repression by miRNAs, supporting the conclusions based on indirect assays. The confirmation suggests that this weak repression may indeed be miRNAs' main function. In this context, we discuss the recent proposal that weak repression is "cumulatively powerful" in stabilizing GRNs.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 19%
Student > Master 3 19%
Other 2 13%
Student > Ph. D. Student 1 6%
Student > Doctoral Student 1 6%
Other 2 13%
Unknown 4 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 25%
Agricultural and Biological Sciences 4 25%
Computer Science 1 6%
Pharmacology, Toxicology and Pharmaceutical Science 1 6%
Unknown 6 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 June 2018.
All research outputs
#14,718,998
of 23,577,654 outputs
Outputs from BMC Genomics
#5,804
of 10,777 outputs
Outputs of similar age
#186,886
of 328,138 outputs
Outputs of similar age from BMC Genomics
#127
of 255 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,777 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
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We're also able to compare this research output to 255 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.