Evidence map›Paper›PMID 33219026›Full record

ArticleScience advances2020

Ancestry-dependent gene expression correlates with reprogramming to pluripotency and multiple dynamic biological processes.

Laura S Bisogno, Jun Yang, Brian D Bennett, James M Ward, Lantz C Mackey, Lois A Annab, Pierre R Bushel, Sandeep Singhal, Shepherd H Schurman, Jung S Byun and 5 more

Abstract read
In one paragraph

Article in Science advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

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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

15 authors.

Laura S BisognoChromatin and Gene Expression Section, Epigenetics and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA.ORCID 0000-0001-5659-802X
Jun YangChromatin and Gene Expression Section, Epigenetics and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA.
Brian D BennettIntegrative Bioinformatics, Epigenetics and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA.
James M WardIntegrative Bioinformatics, Epigenetics and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA.ORCID 0000-0002-9510-2848
Lantz C MackeyChromatin and Gene Expression Section, Epigenetics and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA.ORCID 0000-0001-6377-1118
Lois A AnnabChromatin and Gene Expression Section, Epigenetics and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA.
Pierre R BushelBiostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA.ORCID 0000-0001-5188-8693
Sandeep SinghalDepartment of Pathology, Department of Computer Science, University of North Dakota, Grand Forks, ND, USA.
Shepherd H SchurmanClinical Research Unit, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA.ORCID 0000-0002-9133-7906
Jung S ByunDivision of Intramural Research, Office of the Scientific Director, National Institute on Minority Health and Health Disparities, Bethesda, MD, USA.
Anna María NápolesDivision of Intramural Research, Office of the Scientific Director, National Institute on Minority Health and Health Disparities, Bethesda, MD, USA.
Eliseo J Pérez-StableDivision of Intramural Research, Office of the Scientific Director, National Institute on Minority Health and Health Disparities, Bethesda, MD, USA.ORCID 0000-0002-1577-2738
David C FargoOffice of Scientific Computing, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA.
Kevin GardnerDivision of Intramural Research, Office of the Scientific Director, National Institute on Minority Health and Health Disparities, Bethesda, MD, USA.
Trevor K ArcherChromatin and Gene Expression Section, Epigenetics and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA. archer1@niehs.nih.gov.ORCID 0000-0001-7651-3644

Funding

Tracking and Evaluation CoreU54GM128729 · NIGMS · UNIVERSITY OF NORTH DAKOTA · PI BASSON, MARC D. · 2018 to 2022
$20.3M
Transcriptional Functions of Nuclear Receptors in Cancer CellsZ01ES071006 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI ARCHER, TREVOR KEITH · 1999 to 2008
$6.9M
The linkage between Race, Kaiso and the tumor microenvironment in breast cancer health disparitiesR01CA253368 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GARDNER, KEVIN L. · 2020 to 2024
$3.3M
Intramural NIH HHS Z01 ES071006NCI NIH HHS R01 CA253368NIGMS NIH HHS U54 GM128729
6 · The paper itself

Abstract

Induced pluripotent stem cells (iPSCs) can be derived from differentiated cells, enabling the generation of personalized disease models by differentiating patient-derived iPSCs into disease-relevant cell lines. While genetic variability between different iPSC lines affects differentiation potential, how this variability in somatic cells affects pluripotent potential is less understood. We generated and compared transcriptomic data from 72 dermal fibroblast-iPSC pairs with consistent variation in reprogramming efficiency. By considering equal numbers of samples from self-reported African Americans and White Americans, we identified both ancestry-dependent and ancestry-independent transcripts associated with reprogramming efficiency, suggesting that transcriptomic heterogeneity can substantially affect reprogramming. Moreover, reprogramming efficiency-associated genes are involved in diverse dynamic biological processes, including cancer and wound healing, and are predictive of 5-year breast cancer survival in an independent cohort. Candidate genes may provide insight into mechanisms of ancestry-dependent regulation of cell fate transitions and motivate additional studies for improvement of reprogramming.

Indexed as

Biological PhenomenaInduced Pluripotent Stem CellsCell DifferentiationCell LineHumansTranscriptome

Identifiers

PMID33219026
PMCPMC7679169

What OpenQuestion holds

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LicenceCC BY-NC
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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.