» Articles » PMID: 24901476

Genetic Background Drives Transcriptional Variation in Human Induced Pluripotent Stem Cells

Overview
Journal PLoS Genet
Specialty Genetics
Date 2014 Jun 6
PMID 24901476
Citations 171
Authors
Affiliations
Soon will be listed here.
Abstract

Human iPS cells have been generated using a diverse range of tissues from a variety of donors using different reprogramming vectors. However, these cell lines are heterogeneous, which presents a limitation for their use in disease modeling and personalized medicine. To explore the basis of this heterogeneity we generated 25 iPS cell lines under normalised conditions from the same set of somatic tissues across a number of donors. RNA-seq data sets from each cell line were compared to identify the majority contributors to transcriptional heterogeneity. We found that genetic differences between individual donors were the major cause of transcriptional variation between lines. In contrast, residual signatures from the somatic cell of origin, so called epigenetic memory, contributed relatively little to transcriptional variation. Thus, underlying genetic background variation is responsible for most heterogeneity between human iPS cell lines. We conclude that epigenetic effects in hIPSCs are minimal, and that hIPSCs are a stable, robust and powerful platform for large-scale studies of the function of genetic differences between individuals. Our data also suggest that future studies using hIPSCs as a model system should focus most effort on collection of large numbers of donors, rather than generating large numbers of lines from the same donor.

Citing Articles

Unbiased identification of cell identity in dense mixed neural cultures.

De Beuckeleer S, Van De Looverbosch T, Van Den Daele J, Ponsaerts P, De Vos W Elife. 2025; 13.

PMID: 39819559 PMC: 11741521. DOI: 10.7554/eLife.95273.


Identifying key underlying regulatory networks and predicting targets of orphan C/D box SNORD116 snoRNAs in Prader-Willi syndrome.

Gilmore R, Liu Y, Stoddard C, Chung M, Carmichael G, Cotney J Nucleic Acids Res. 2024; 52(22):13757-13774.

PMID: 39575480 PMC: 11662933. DOI: 10.1093/nar/gkae1129.


Induced pluripotent stem cell-derived cardiomyocyte in vitro models: benchmarking progress and ongoing challenges.

Ewoldt J, DePalma S, Jewett M, Karakan M, Lin Y, Mir Hashemian P Nat Methods. 2024; 22(1):24-40.

PMID: 39516564 DOI: 10.1038/s41592-024-02480-7.


Manipulating cell fate through reprogramming: approaches and applications.

Yagi M, Horng J, Hochedlinger K Development. 2024; 151(19).

PMID: 39348466 PMC: 11463964. DOI: 10.1242/dev.203090.


A Novel Stem Cell Model to Study Preeclampsia Endothelial Dysfunction.

Wu Y, Sun T, Medina P, Narasimhan P, Stevenson D, von Versen-Hoynck F Reprod Sci. 2024; 31(10):2993-3003.

PMID: 39179924 PMC: 11438721. DOI: 10.1007/s43032-024-01590-z.


References
1.
Skelly D, Ronald J, Akey J . Inherited variation in gene expression. Annu Rev Genomics Hum Genet. 2009; 10:313-32. DOI: 10.1146/annurev-genom-082908-150121. View

2.
Ohi Y, Qin H, Hong C, Blouin L, Polo J, Guo T . Incomplete DNA methylation underlies a transcriptional memory of somatic cells in human iPS cells. Nat Cell Biol. 2011; 13(5):541-9. PMC: 3987913. DOI: 10.1038/ncb2239. View

3.
Veyrieras J, Kudaravalli S, Kim S, Dermitzakis E, Gilad Y, Stephens M . High-resolution mapping of expression-QTLs yields insight into human gene regulation. PLoS Genet. 2008; 4(10):e1000214. PMC: 2556086. DOI: 10.1371/journal.pgen.1000214. View

4.
Guenther M, Frampton G, Soldner F, Hockemeyer D, Mitalipova M, Jaenisch R . Chromatin structure and gene expression programs of human embryonic and induced pluripotent stem cells. Cell Stem Cell. 2010; 7(2):249-57. PMC: 3010384. DOI: 10.1016/j.stem.2010.06.015. View

5.
Anders S, Huber W . Differential expression analysis for sequence count data. Genome Biol. 2010; 11(10):R106. PMC: 3218662. DOI: 10.1186/gb-2010-11-10-r106. View