Systems-level dynamic analyses of fate change in murine embryonic stem cells

Rong Lu (), Florian Markowetz, Richard D. Unwin, Jeffrey T. Leek, Edoardo M. Airoldi, Ben D. MacArthur, Alexander Lachmann, Roye Rozov, Avi Ma’ayan, Laurie A. Boyer, Olga G. Troyanskaya, Anthony D. Whetton and Ihor R. Lemischka ()
Additional contact information
Rong Lu: Department of Molecular Biology,
Florian Markowetz: Princeton University, Princeton, New Jersey 08544, USA
Richard D. Unwin: Stem Cell and Leukaemia Proteomics Laboratory, School of Cancer and Imaging Sciences, Manchester Academic Health Science Centre, University of Manchester, Wolfson Molecular Imaging Centre
Jeffrey T. Leek: Department of Gene and Cell Medicine and The Black Family Stem Cell Institute,
Edoardo M. Airoldi: Princeton University, Princeton, New Jersey 08544, USA
Ben D. MacArthur: Department of Gene and Cell Medicine and The Black Family Stem Cell Institute,
Alexander Lachmann: Mount Sinai School of Medicine, New York, New York 10029, USA
Roye Rozov: Department of Gene and Cell Medicine and The Black Family Stem Cell Institute,
Avi Ma’ayan: Mount Sinai School of Medicine, New York, New York 10029, USA
Laurie A. Boyer: Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, USA
Olga G. Troyanskaya: Princeton University, Princeton, New Jersey 08544, USA
Anthony D. Whetton: Stem Cell and Leukaemia Proteomics Laboratory, School of Cancer and Imaging Sciences, Manchester Academic Health Science Centre, University of Manchester, Wolfson Molecular Imaging Centre
Ihor R. Lemischka: Department of Molecular Biology,

Nature, 2009, vol. 462, issue 7271, 358-362

Abstract: Cell fate at the systems level Rong Lu et al. present a dynamic systems-level study of cell fate changes in mouse embryonic stem cells following a single well-defined perturbation by downregulating the pluripotency factor Nanog. They measure global changes in histone acetylation, chromatin-bound RNA polymerase II, mRNA and nuclear protein levels for five days, and find progressive widespread changes in multiple molecular regulatory layers and provide a dynamic view of information flow in the epigenome, transcriptome and proteome.

Date: 2009
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DOI: 10.1038/nature08575

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