Reference maps of human es and ips cell variation enable high-throughput characterization of pluripotent cell lines

Christoph Bock, Evangelos Kiskinis, Griet Verstappen, Hongcang Gu, Gabriella Boulting, Zachary D. Smith, Michael Ziller, Gist F. Croft, MacKenzie W. Amoroso, Derek H. Oakley, Andreas Gnirke, Kevin Eggan*, Alexander Meissner

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

781 Scopus citations

Abstract

The developmental potential of human pluripotent stem cells suggests that they can produce disease-relevant cell types for biomedical research. However, substantial variation has been reported among pluripotent cell lines, which could affect their utility and clinical safety. Such cell-line-specific differences must be better understood before one can confidently use embryonic stem (ES) or induced pluripotent stem (iPS) cells in translational research. Toward this goal we have established genome-wide reference maps of DNA methylation and gene expression for 20 previously derived human ES lines and 12 human iPS cell lines, and we have measured the in vitro differentiation propensity of these cell lines. This resource enabled us to assess the epigenetic and transcriptional similarity of ES and iPS cells and to predict the differentiation efficiency of individual cell lines. The combination of assays yields a scorecard for quick and comprehensive characterization of pluripotent cell lines.

Original languageEnglish (US)
Pages (from-to)439-452
Number of pages14
JournalCell
Volume144
Issue number3
DOIs
StatePublished - Feb 4 2011

Funding

We are grateful to Christopher Henderson and Hynek Wichterle (Columbia University Motor Neuron Center, Project A.L.S./Jenifer Estess Laboratory for Stem Cell Research) for sharing fibroblast and iPS cell lines prior to publication and for many helpful discussions. We would also like to thank Tarjei Mikkelsen, Eleni Tomazou, Chad Cowan, Leon Plastek, and Tim Ahfeldt for their involvement in early pilot experiments; Patrick Boyle for technical assistance; the Harvard Research Computing team for support and computation time on the Odyssey cluster; and the members of the Eggan and Meissner labs for their comments on the manuscript. Furthermore, we acknowledge the members of the Broad Institute's Genome Sequencing Platform, Genetic Analysis Platform, and Epigenomics Initiative, including Ido Amit, Fontina Kelley, Kathleen Tibbetts, Tim Fennell, Supriya Gupta, Andrew Crenshaw, Charles Epstein, and Brad Bernstein. C.B. is supported by a Feodor Lynen Fellowship from the Alexander von Humboldt Foundation. E.K. is a fellow of the European Molecular Biology Organization. K.E. is an assistant investigator of the Stowers Medical Institute, a Howard Hughes Medical Institute early career scientist, and fellow of the MacArthur Foundation. The described work was funded by the NIH Roadmap Initiative on Epigenomics (U01ES017155), the Massachusetts Life Science Center (MLSC), and the Pew Charitable Trusts. A patent has been filed for the scorecard described in the manuscript.

ASJC Scopus subject areas

  • General Biochemistry, Genetics and Molecular Biology

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