Evidence map›Paper›PMID 40821435›Full record

ArticleData in brief2025

RNA-Seq dataset of wild type and PRC2 mutant mouse embryonic stem cells undergoing ground state conversion.

Cameron M Chapa, Dustin R Fetch, Amina A Jumamyradova, Alexey A Soshnev

Abstract read
In one paragraph

Article in Data in brief, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Cameron M ChapaDepartment of Neuroscience, Developmental and Regenerative Biology, The University of Texas at San Antonio, San Antonio, TX 78249, USA.
Dustin R FetchGraduate Program in Developmental and Regenerative Sciences, The University of Texas at San Antonio, San Antonio, TX 78249, USA.
Amina A JumamyradovaDepartment of Neuroscience, Developmental and Regenerative Biology, The University of Texas at San Antonio, San Antonio, TX 78249, USA.
Alexey A SoshnevDepartment of Neuroscience, Developmental and Regenerative Biology, The University of Texas at San Antonio, San Antonio, TX 78249, USA.

Funding

Role of novel onco-histone mutations in B-cell malignanciesR01CA234561 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI CESARMAN, ETHEL · 2019 to 2023
$3.3M
NCI NIH HHS R01 CA234561
6 · The paper itself

Abstract

Mouse embryonic stem cells (mESCs) represent an exceptional model for understanding how transcriptional responses are regulated by signalling pathways during development. Treatment with a cocktail of MEK and GSK3β inhibitors ("2i") induces ground state pluripotency, characterized by increased self-renewal, reduced DNA methylation, and uniformly high expression of pluripotency markers. Polycomb Repressive Complex 2 (PRC2) is a key developmental regulator controlling stem cell self-renewal and differentiation decisions, and altered expression of PRC2 target genes is a signature of 2i-mediated ground state conversion. Here, we generated a comprehensive RNA sequencing dataset from mESCs subjected to 2i conversion time-course across five time points between 0 and 96 h. We analysed two independently derived wild type lines, and two isogenic Cas9-edited lines carrying loss-of-function mutations in core PRC2 subunits Enhancer of Zeste Homolog 2 (Ezh2) or Embryonic Ectoderm Development (Eed). These data provide a resource to understand the temporal patterns of transcriptional responses to MEK and GSK3β inhibitors and explore the role of PRC2 function in regulation of pluripotency circuit.

Indexed as

2imESCMetastableNaïvePluripotencyPolycombTranscriptome

Identifiers

PMID40821435
PMCPMC12357242

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.