Evidence map›Paper›PMID 32899767›Full record

ArticleBiomolecules2020

miR-361-5p Mediates SMAD4 to Promote Porcine Granulosa Cell Apoptosis through VEGFA.

Mengnan Ma, Jinbi Zhang, Xiaomeng Gao, Wang Yao, Qifa Li, Zengxiang Pan

Open access · goldAbstract read
In one paragraph

Article in Biomolecules, 2020. 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
0.8field-weighted citation impact, top 30% 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, 19 citations in OpenAlex.

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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 1 institution in 1 country.

Mengnan MaCollege of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China.
Jinbi ZhangCollege of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China.
Xiaomeng GaoCollege of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China.
Wang YaoCollege of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China.
Qifa LiCollege of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China.ORCID 0000-0002-7985-3799
Zengxiang PanCollege of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China.
Nanjing Agricultural University · CN

Funding

National Natural Science Foundation of China 31672421National Natural Science Foundation of China 31902123Natural Science Foundation of Jiangsu Province BK20160721
6 · The paper itself

Abstract

Follicular atresia is an inevitable degenerative process that occurs in mammalian ovarian follicles. The molecular events involved in atresia, particularly granulosa cell apoptosis, have long attracted researchers' attention. Vascular endothelial growth factor A (VEGFA) is downregulated during follicular atresia in porcine ovaries and serves as an inhibitor of apoptosis in granulosa cells. In addition, transforming growth factor (TGF)-βsignaling has been considered a central trigger in granulosa cell apoptosis. However, the link between TGF-β signaling and VEGFA is unknown. We proved that miR-361-5p is significantly upregulated during the atresia process and that it promotes GC apoptosis by directly targeting the

Indexed as

3' Untranslated RegionsAnimalsApoptosisDown-RegulationFemaleFollicular AtresiaGene Expression RegulationGranulosa CellsMicroRNAsOvarian FolliclePrimary Cell CulturePromoter Regions, GeneticSignal TransductionSmad4 ProteinSwineUp-Regulation3' Untranslated RegionsMicroRNAsSmad4 ProteinVascular Endothelial Growth Factor Afollicular atresiaGC apoptosismiR-361-5pSMAD4TGF-β signalingVEGFA

Identifiers

PMID32899767
PMCPMC7563248
OpenAlexW3083553819

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.