Evidence map›Paper›PMID 37443771›Full record

ArticleCells2023

Global Analysis of Transcription Start Sites and Enhancers in Endometrial Stromal Cells and Differences Associated with Endometriosis.

Sushma Marla, Sally Mortlock, Sohye Yoon, Joanna Crawford, Stacey Andersen, Michael D Mueller, Brett McKinnon, Quan Nguyen, Grant W Montgomery

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cells, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.5field-weighted citation impact, top 29% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

9 authors at 2 institutions in 2 countries.

Sushma MarlaThe Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD 4072, Australia.
Sally MortlockThe Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD 4072, Australia.
Sohye YoonThe Genome Innovation Hub, The University of Queensland, Brisbane, QLD 4072, Australia.ORCID 0000-0002-3392-3026
Joanna CrawfordThe Genome Innovation Hub, The University of Queensland, Brisbane, QLD 4072, Australia.
Stacey AndersenThe Genome Innovation Hub, The University of Queensland, Brisbane, QLD 4072, Australia.
Michael D MuellerDepartment of Gynecology and Gynecological Oncology, Inselspital, Bern University Hospital, University of Bern, 3010 Berne, Switzerland.
Brett McKinnonThe Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD 4072, Australia.
Quan NguyenThe Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD 4072, Australia.
Grant W MontgomeryThe Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD 4072, Australia.ORCID 0000-0002-4140-8139
The University of Queensland · AUUniversity of Bern · CH

Funding

National Health and Medical Research Council GNT1078399, GNT1177194
6 · The paper itself

Abstract

Identifying tissue-specific molecular signatures of active regulatory elements is critical to understanding gene regulatory mechanisms. In this study, transcription start sites (TSS) and enhancers were identified using Cap analysis of gene expression (CAGE) across endometrial stromal cell (ESC) samples obtained from women with (

Indexed as

EndometriosisGenome-Wide Association StudyFemaleGene Expression RegulationHumansPromoter Regions, GeneticTranscription Initiation SiteCap analysis of gene expressionendometrial stromal cellstranscription start sites

Identifiers

PMID37443771
PMCPMC10340717
OpenAlexW4382721563

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.