Evidence map›Paper›PMID 29764374›Full record

ArticleBMC genomics2018

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

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

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.6field-weighted citation impact, top 32% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
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  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Cells · 2019
    Article
  9. Article
  10. Review
  11. Editorial focus: entering into the non-coding RNA era.Cellular & molecular biology letters · 2018
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 1 country.

Fuqiang MaKey Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China.
Pei LinSchool of Life Science, Sun Yat-Sen University, Guangzhou, 510275, Guangdong, China.
Qingjian ChenSchool of Life Science, Sun Yat-Sen University, Guangzhou, 510275, Guangdong, China.
Xuemei LuKey Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China.
Yong E ZhangUniversity of Chinese Academy of Sciences, Beijing, 100049, China. zhangyong@ioz.ac.cn.
Chung-I WuKey Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China. ciwu@uchicago.edu.
Sun Yat-sen University · CNBeijing Institute of Genomics · CNChinese Academy of Sciences · CNUniversity of Chinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA 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.

resultsTo 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.

conclusionThe 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.

Indexed as

Gene Regulatory Networks3' Untranslated RegionsMicroRNAsModels, GeneticRNA StabilityTranscription, Genetic3' Untranslated RegionsMicroRNAsMiR310smRNA degradationNetworkTargetsWeak repression

Identifiers

PMID29764374
PMCPMC5952853
OpenAlexW2805513543

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.