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      Defining an essential transcription factor program for naïve pluripotency.

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          Abstract

          The gene regulatory circuitry through which pluripotent embryonic stem (ES) cells choose between self-renewal and differentiation appears vast and has yet to be distilled into an executive molecular program. We developed a data-constrained, computational approach to reduce complexity and to derive a set of functionally validated components and interaction combinations sufficient to explain observed ES cell behavior. This minimal set, the simplest version of which comprises only 16 interactions, 12 components, and three inputs, satisfies all prior specifications for self-renewal and furthermore predicts unknown and nonintuitive responses to compound genetic perturbations with an overall accuracy of 70%. We propose that propagation of ES cell identity is not determined by a vast interactome but rather can be explained by a relatively simple process of molecular computation.

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          Author and article information

          Journal
          Science
          Science (New York, N.Y.)
          American Association for the Advancement of Science (AAAS)
          1095-9203
          0036-8075
          Jun 06 2014
          : 344
          : 6188
          Affiliations
          [1 ] Computational Science Laboratory, Microsoft Research, Cambridge, CB1 2FB, UK.
          [2 ] Wellcome Trust - Medical Research Council Cambridge Stem Cell Institute, University of Cambridge, Cambridge, CB2 1QR, UK.
          [3 ] Department of Biochemistry, University of Cambridge, Cambridge, UK.
          Article
          EMS61341
          10.1126/science.1248882
          4257066
          24904165
          854fb105-a9b0-48c5-b902-23b4c21d55eb
          Copyright © 2014, American Association for the Advancement of Science.
          History

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