HCA Data Explorer

Village in a dish: a model system for population-scale hiPSC studies

Updated June 6, 2023

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 under different conditions. Human induced pluripotent stem cells (hiPSCs) are uniquely suited to study these context-dependent effects, but to do so requires cell lines from hundreds or potentially thousands of individuals. Village cultures, where multiple hiPSC lines are cultured and differentiated together in a single dish, provide an elegant solution for scaling hiPSC 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 back to a donor line using single cell sequencing, and addressing whether line-specific signaling alters the transcriptional profiles of companion lines in a village culture. We generated single cell RNA sequence data from hiPSC lines cultured independently (uni-culture) and in villages at three independent sites. We show that the transcriptional profiles of hiPSC lines are highly consistent between uni- and village cultures for both fresh (0.46 < R < 0.88) and cryopreserved samples (0.46 < R < 0.62). Using a mixed linear model framework, we estimate that the proportion of transcriptional variation across cells is predominantly due to donor effects, with minimal evidence of variation due to culturing in a village system. We demonstrate that the genetic, epigenetic or hiPSC line-specific effects on gene expression are consistent whether the lines are uni- or village-cultured (0.82 < R < 0.94). Finally, we identify the consistency in the landscape of cell states between uni- and village-culture systems. Collectively, we demonstrate that village methods can be effectively used to detect hiPSC line-specific effects including sensitive dynamics of cell states.

Drew NeavinGarvan-Weizmann Centre for Cellular Genomics, Garvan Institute of Medical Research, Darlinghurst, 2010, Sydneyd.neavin@garvan.org.au
Joseph PowellGarvan-Weizmann Centre for Cellular Genomics, Garvan Institute of Medical Research, Darlinghurst, 2010, Sydneyj.powell@garvan.org.au
Drew Neavin1
Angela Steinmann1
Han Sheng Chiu2
Maciej Daniszewski3
Cátia Moutinho1
Chia-Ling Chan1
Mubarika Tyebally1
Vikkitharan Gnanasambandapillai1
Chuan Lam1
Uyen Nguyen1
Damián Hernández3
Grace Lidgerwood3
Alex Hewitt4
Alice Pébay3
Nathan Palpant2
Joseph Powell1
1Garvan-Weizmann Centre for Cellular Genomics, Garvan Institute of Medical Research, Darlinghurst, 2010, Sydney
2Institute for Molecular Bioscience, University of Queensland, Brisbane
3Department of Anatomy and Physiology, the University of Melbourne, Parkville
4Wicking Dementia Research and Education Centre, University of Tasmania, Hobart
Rachel Schwartz

To reference this project, please use the following link:

https://explore.data.humancellatlas.org/projects/2973a42c-f810-4812-9a23-5bbc9644588d
None
INSDC Project Accessions:GEO Series Accessions:INSDC Study Accessions:

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Analysis Portals

None

Project Label

powellHumaniPSC

Species

Homo sapiens

Sample Type

cellLines

Anatomical Entity

skin of body

Organ Part

dermis

Selected Cell Types

pluripotent stem cell

Model Organ

embryo

Disease Status (Specimen)

normal

Disease Status (Donor)

glaucoma

Development Stage

human adult stage

Library Construction Method

10x 3' v3

Nucleic Acid Source

single cell

Paired End

false

Analysis Protocol

analysis_protocol_1

File Format

3 file formats

Cell Count Estimate

88.9k

Donor Count

3
fastq.gz52 file(s)tar1 file(s)xlsx1 file(s)