Evidence map›Paper›PMID 34671346›Full record

ArticleFrontiers in immunology2021

Integrated Proteotranscriptomics of Human Myometrium in Labor Landscape Reveals the Increased Molecular Associated With Inflammation Under Hypoxia Stress.

Lina Chen, Lele Wang, Yihong Luo, Qian Huang, Kaiyuan Ji, Junjie Bao, Huishu Liu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
5.6field-weighted citation impact, top 3% 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

14 citing papers in PubMed, 35 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

7 authors at 2 institutions in 1 country.

Lina ChenSchool of Medicine, South China University of Technology, Guangzhou, China.
Lele WangGuangzhou Key Laboratory of Maternal-Fetal Medicine, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Yihong LuoGuangzhou Key Laboratory of Maternal-Fetal Medicine, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Qian HuangGuangzhou Key Laboratory of Maternal-Fetal Medicine, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Kaiyuan JiGuangzhou Key Laboratory of Maternal-Fetal Medicine, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Junjie BaoGuangzhou Key Laboratory of Maternal-Fetal Medicine, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Huishu LiuSchool of Medicine, South China University of Technology, Guangzhou, China.
Guangzhou Medical University · CNSouth China University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During labor, a variety of coordinated physiological and biochemical events cause the myometrium to transition from a quiescent to contractile state; the molecular mechanisms responsible for this transition, however, remain unclear. To better understand this transition at a molecular level, the global transcriptome and proteome of human myometrial samples in labor and those not in labor were investigated through RNA sequencing (RNA-seq) and quantitative liquid chromatography-tandem mass spectrometry (LC-MS/MS)

Indexed as

TranscriptomeAdultChromatography, LiquidCytokinesFemaleGene Regulatory NetworksHumansHypoxiaInflammationLabor, ObstetricMyometriumParturitionPregnancyRNA, MessengerTandem Mass SpectrometryCytokinesRNA, Messengerinflammationlabormyometriumproteometranscriptome

Identifiers

PMID34671346
PMCPMC8521035
OpenAlexW3203545433

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.