Evidence map›Paper›PMID 37296104›Full record

ArticleNature communications2023

A village in a dish model system for population-scale hiPSC studies.

Drew R Neavin, Angela M Steinmann, Nona Farbehi, Han Sheng Chiu, Maciej S Daniszewski, Himanshi Arora, Yasmin Bermudez, Cátia Moutinho, Chia-Ling Chan, Monique Bax and 11 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
8.5field-weighted citation impact, top 2% 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

44 citing papers in PubMed, 56 citations in OpenAlex.

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  14. Programmable nanobody circuits for cell selection.bioRxiv : the preprint server for biology · 2026
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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

21 authors at 6 institutions in 1 country.

Drew R NeavinGarvan-Weizmann Centre for Cellular Genomics, Garvan Institute of Medical Research, Darlinghurst, 2010, Sydney, Australia.ORCID 0000-0002-1783-6491
Angela M Steinmann *Garvan-Weizmann Centre for Cellular Genomics, Garvan Institute of Medical Research, Darlinghurst, 2010, Sydney, Australia.
Nona Farbehi *Garvan-Weizmann Centre for Cellular Genomics, Garvan Institute of Medical Research, Darlinghurst, 2010, Sydney, Australia.ORCID 0000-0001-8461-236X
Han Sheng Chiu *Institute for Molecular Bioscience, University of Queensland, Brisbane, Australia.
Maciej S Daniszewski *Department of Anatomy and Physiology, the University of Melbourne, Melbourne, Australia.ORCID 0000-0003-3468-4941
Himanshi AroraGarvan-Weizmann Centre for Cellular Genomics, Garvan Institute of Medical Research, Darlinghurst, 2010, Sydney, Australia.
Yasmin BermudezGarvan-Weizmann Centre for Cellular Genomics, Garvan Institute of Medical Research, Darlinghurst, 2010, Sydney, Australia.
Cátia MoutinhoGarvan-Weizmann Centre for Cellular Genomics, Garvan Institute of Medical Research, Darlinghurst, 2010, Sydney, Australia.
Chia-Ling ChanGarvan-Weizmann Centre for Cellular Genomics, Garvan Institute of Medical Research, Darlinghurst, 2010, Sydney, Australia.ORCID 0000-0003-2079-9262
Monique BaxVictor Chang Cardiac Research Institute, Darlinghurst, NSW, Australia.ORCID 0000-0003-2468-0250
Mubarika TyeballyGarvan-Weizmann Centre for Cellular Genomics, Garvan Institute of Medical Research, Darlinghurst, 2010, Sydney, Australia.
Vikkitharan GnanasambandapillaiGarvan-Weizmann Centre for Cellular Genomics, Garvan Institute of Medical Research, Darlinghurst, 2010, Sydney, Australia.
Chuan E LamGarvan-Weizmann Centre for Cellular Genomics, Garvan Institute of Medical Research, Darlinghurst, 2010, Sydney, Australia.
Uyen NguyenGarvan-Weizmann Centre for Cellular Genomics, Garvan Institute of Medical Research, Darlinghurst, 2010, Sydney, Australia.
Damián HernándezDepartment of Anatomy and Physiology, the University of Melbourne, Melbourne, Australia.
Grace E LidgerwoodDepartment of Anatomy and Physiology, the University of Melbourne, Melbourne, Australia.
Robert M GrahamVictor Chang Cardiac Research Institute, Darlinghurst, NSW, Australia.ORCID 0000-0002-1042-2587
Alex W HewittCentre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, University of Melbourne, Melbourne, Australia.ORCID 0000-0002-5123-5999
Alice PébayDepartment of Anatomy and Physiology, the University of Melbourne, Melbourne, Australia.ORCID 0000-0002-7408-9453
Nathan J PalpantInstitute for Molecular Bioscience, University of Queensland, Brisbane, Australia.ORCID 0000-0002-9334-8107
Joseph E PowellGarvan-Weizmann Centre for Cellular Genomics, Garvan Institute of Medical Research, Darlinghurst, 2010, Sydney, Australia. j.powell@garvan.org.au.ORCID 0000-0002-5070-4124
Garvan Institute of Medical Research · AUThe University of Melbourne · AUThe University of Queensland · AUVictor Chang Cardiac Research Institute · AUThe Royal Melbourne Hospital · AUUniversity of Tasmania · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The mechanisms by which DNA alleles contribute to disease risk, drug response, and other human phenotypes are highly context-specific, varying across cell types and different conditions. Human induced pluripotent stem cells are uniquely suited to study these context-dependent effects but cell lines from hundreds or thousands of individuals are required. Village cultures, where multiple induced pluripotent stem lines are cultured and differentiated in a single dish, provide an elegant solution for scaling induced pluripotent stem experiments to the necessary sample sizes required for population-scale studies. Here, we show the utility of village models, demonstrating how cells can be assigned to an induced pluripotent stem line using single-cell sequencing and illustrating that the genetic, epigenetic or induced pluripotent stem line-specific effects explain a large percentage of gene expression variation for many genes. We demonstrate that village methods can effectively detect induced pluripotent stem line-specific effects, including sensitive dynamics of cell states.

Indexed as

Induced Pluripotent Stem CellsCell DifferentiationCell LineHumansPhenotype

Identifiers

PMID37296104
PMCPMC10256711
OpenAlexW4380086141

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.