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

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 ce...

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Published in:Nature Communications
Main Authors: 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, Mubarika Tyebally, Vikkitharan Gnanasambandapillai, Chuan E. Lam, Uyen Nguyen, Damián Hernández, Grace E. Lidgerwood, Robert M. Graham, Alex W. Hewitt, Alice Pébay, Nathan J. Palpant, Joseph E. Powell
Format: Article
Language:English
Published: Nature Portfolio 2023-06-01
Online Access:https://doi.org/10.1038/s41467-023-38704-1
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author 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
Mubarika Tyebally
Vikkitharan Gnanasambandapillai
Chuan E. Lam
Uyen Nguyen
Damián Hernández
Grace E. Lidgerwood
Robert M. Graham
Alex W. Hewitt
Alice Pébay
Nathan J. Palpant
Joseph E. Powell
author_facet 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
Mubarika Tyebally
Vikkitharan Gnanasambandapillai
Chuan E. Lam
Uyen Nguyen
Damián Hernández
Grace E. Lidgerwood
Robert M. Graham
Alex W. Hewitt
Alice Pébay
Nathan J. Palpant
Joseph E. Powell
author_sort Drew R. Neavin
collection DOAJ
container_title Nature Communications
description 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.
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spelling doaj-art-499bbef94bc84c94a2ef1a7bf2ddfd932025-08-19T19:21:25ZengNature PortfolioNature Communications2041-17232023-06-0114111210.1038/s41467-023-38704-1A village in a dish model system for population-scale hiPSC studiesDrew R. Neavin0Angela M. Steinmann1Nona Farbehi2Han Sheng Chiu3Maciej S. Daniszewski4Himanshi Arora5Yasmin Bermudez6Cátia Moutinho7Chia-Ling Chan8Monique Bax9Mubarika Tyebally10Vikkitharan Gnanasambandapillai11Chuan E. Lam12Uyen Nguyen13Damián Hernández14Grace E. Lidgerwood15Robert M. Graham16Alex W. Hewitt17Alice Pébay18Nathan J. Palpant19Joseph E. Powell20Garvan-Weizmann Centre for Cellular Genomics, Garvan Institute of Medical ResearchGarvan-Weizmann Centre for Cellular Genomics, Garvan Institute of Medical ResearchGarvan-Weizmann Centre for Cellular Genomics, Garvan Institute of Medical ResearchInstitute for Molecular Bioscience, University of QueenslandDepartment of Anatomy and Physiology, the University of MelbourneGarvan-Weizmann Centre for Cellular Genomics, Garvan Institute of Medical ResearchGarvan-Weizmann Centre for Cellular Genomics, Garvan Institute of Medical ResearchGarvan-Weizmann Centre for Cellular Genomics, Garvan Institute of Medical ResearchGarvan-Weizmann Centre for Cellular Genomics, Garvan Institute of Medical ResearchVictor Chang Cardiac Research InstituteGarvan-Weizmann Centre for Cellular Genomics, Garvan Institute of Medical ResearchGarvan-Weizmann Centre for Cellular Genomics, Garvan Institute of Medical ResearchGarvan-Weizmann Centre for Cellular Genomics, Garvan Institute of Medical ResearchGarvan-Weizmann Centre for Cellular Genomics, Garvan Institute of Medical ResearchDepartment of Anatomy and Physiology, the University of MelbourneDepartment of Anatomy and Physiology, the University of MelbourneVictor Chang Cardiac Research InstituteCentre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, University of MelbourneDepartment of Anatomy and Physiology, the University of MelbourneInstitute for Molecular Bioscience, University of QueenslandGarvan-Weizmann Centre for Cellular Genomics, Garvan Institute of Medical ResearchAbstract 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.https://doi.org/10.1038/s41467-023-38704-1
spellingShingle 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
Mubarika Tyebally
Vikkitharan Gnanasambandapillai
Chuan E. Lam
Uyen Nguyen
Damián Hernández
Grace E. Lidgerwood
Robert M. Graham
Alex W. Hewitt
Alice Pébay
Nathan J. Palpant
Joseph E. Powell
A village in a dish model system for population-scale hiPSC studies
title A village in a dish model system for population-scale hiPSC studies
title_full A village in a dish model system for population-scale hiPSC studies
title_fullStr A village in a dish model system for population-scale hiPSC studies
title_full_unstemmed A village in a dish model system for population-scale hiPSC studies
title_short A village in a dish model system for population-scale hiPSC studies
title_sort village in a dish model system for population scale hipsc studies
url https://doi.org/10.1038/s41467-023-38704-1
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