Evidence map›Paper›PMID 34572048›Full record

ArticleCells2021

Tissue of Origin, but Not XCI State, Influences Germ Cell Differentiation from Human Pluripotent Stem Cells.

Yolanda W Chang, Arend W Overeem, Celine M Roelse, Xueying Fan, Christian Freund, Susana M Chuva de Sousa Lopes

Open access · goldAbstract read
In one paragraph

Article in Cells, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 40% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
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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 2 countries.

Yolanda W ChangDepartment of Anatomy and Embryology, Leiden University Medical Centre, 2333 ZC Leiden, The Netherlands.
Arend W OvereemDepartment of Anatomy and Embryology, Leiden University Medical Centre, 2333 ZC Leiden, The Netherlands.
Celine M RoelseDepartment of Anatomy and Embryology, Leiden University Medical Centre, 2333 ZC Leiden, The Netherlands.
Xueying FanDepartment of Anatomy and Embryology, Leiden University Medical Centre, 2333 ZC Leiden, The Netherlands.
Christian FreundDepartment of Anatomy and Embryology, Leiden University Medical Centre, 2333 ZC Leiden, The Netherlands.
Susana M Chuva de Sousa LopesDepartment of Anatomy and Embryology, Leiden University Medical Centre, 2333 ZC Leiden, The Netherlands.ORCID 0000-0003-3866-2803
Leiden University · NL

Funding

China Scholarship Council CSC 201706320328Nederlandse Organisatie voor Wetenschappelijk Onderzoek VICI-2018-91819642
6 · The paper itself

Abstract

Human pluripotent stem cells (hPSCs) are not only a promising tool to investigate differentiation to many cell types, including the germline, but are also a potential source of cells to use for regenerative medicine purposes in the future. However, current in vitro models to generate human primordial germ cell-like cells (hPGCLCs) have revealed high variability regarding differentiation efficiency depending on the hPSC lines used. Here, we investigated whether differences in X chromosome inactivation (XCI) in female hPSCs could contribute to the variability of hPGCLC differentiation efficiency during embryoid body (EB) formation. For this, we first characterized the XCI state in different hPSC lines by investigating the expression of

Indexed as

Cell DifferentiationCell LineageX Chromosome InactivationEmbryoid BodiesFemaleFibroblastsGerm CellsHumansKidneyMalePluripotent Stem CellsSkindifferentiationembryoid bodieshumanpluripotent stem cellsprimordial germ cellsX chromosome inactivation

Identifiers

PMID34572048
PMCPMC8466594
OpenAlexW3201577252

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.