Evidence map›Paper›PMID 31781320›Full record

ArticleOxidative medicine and cellular longevity2019

Integrated Analysis of miRNA-mRNA Interaction Network in Porcine Granulosa Cells Undergoing Oxidative Stress.

Xing Du, Qiqi Li, Qiuyu Cao, Siqi Wang, Honglin Liu, Qifa Li

Open access · hybridAbstract read
In one paragraph

Article in Oxidative medicine and cellular longevity, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

21 citing papers in PubMed, 34 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.

Xing DuCollege of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China.
Qiqi LiCollege of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China.
Qiuyu CaoCollege of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China.
Siqi WangCollege of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China.
Honglin LiuCollege 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 https://orcid.org/0000-0002-7985-3799
Nanjing Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oxidative stress (OS), a common intracellular phenomenon induced by excess reactive oxygen species (ROS) generation, has been shown to be associated with mammalian ovarian follicular development blockage and granulosa cell (GC) impairment. However, the mechanism involved in these effects remains unknown, and the effect of OS on the transcriptome profiles in porcine GCs has not been fully characterized. In this study, we found that hydrogen peroxide-mediated oxidative stress induced porcine GC apoptosis and impaired cell viability. Moreover, RNA-seq analysis showed that oxidative stress induced dramatic changes in gene expression in porcine GCs. A total of 2025 differentially expressed genes (DEGs) were identified, including 1940 DEmRNAs and 55 DEmiRNAs. Functional annotation showed that the DEGs were mainly associated with cell states and function regulation. In addition, multiple hub genes (

Indexed as

Gene Expression RegulationMAP Kinase Signaling SystemOxidative StressSecond Messenger SystemsAnimalsFemaleGranulosa CellsMicroRNAsRNA, MessengerSwineMicroRNAsRNA, Messenger

Identifiers

PMID31781320
PMCPMC6875397
OpenAlexW2989125279

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.