Evidence map›Paper›PMID 28642470›Full record

ArticleScientific reports2017

Quantitative Proteomics Analysis Reveals Novel Targets of miR-21 in Zebrafish Embryos.

Ying Wu, Qi-Yong Lou, Feng Ge, Qian Xiong

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
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

4 authors.

Ying WuKey Laboratory of Algal Biology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China.
Qi-Yong LouKey Laboratory of Algal Biology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China.
Feng GeKey Laboratory of Algal Biology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China.ORCID 0000-0002-1032-280X
Qian XiongKey Laboratory of Algal Biology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China. xiongqian@ihb.ac.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) are noncoding RNAs which control gene expression by the suppression of translation or the degradation of mRNAs. Dre-miR-21 (miR-21) has been reported to impact cardiac valvulogenesis in zebrafish embryos. However, the target genes of miR-21 are still largely unknown. Here a tandem isobaric mass tag (TMT)-based quantitative proteomic strategy was employed to identify the global profile of miR-21-regulated proteins. A total of 251 proteins were dysregulated after miR-21 knockdown, suggesting that they may be regulated by miR-21. Bioinformatics analysis indicated that these differentially expressed proteins (DEPs) participate in various biological processes, suggesting that miR-21 may be involved in diverse cellular pathways. Sixteen DEPs were also predicted to be miR-21 targets by at least two algorithms, and several candidate target genes were selected for further luciferase reporter analysis. The results showed that genes encoding tropomyosin 1 (tpm1) and poly(rC) binding protein 2 (pcbp2) are direct miR-21 targets. Taken together, our results not only reveal a large number of novel miR-21 regulated proteins that possess pleiotropic functions, but also provide novel insights into the molecular mechanisms of miR-21 regulation of zebrafish cardiac valvulogenesis and embryonic development.

Indexed as

Gene Expression Regulation, DevelopmentalMicroRNAsProteomicsAnimalsComputational BiologyEmbryonic DevelopmentEmbryo, NonmammalianFemaleGene Knockdown TechniquesMaleReproducibility of ResultsRNA InterferenceRNA, MessengerZebrafishMicroRNAsMIRN21 microRNA, zebrafishRNA, Messenger

Identifiers

PMID28642470
PMCPMC5481331

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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.