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A common molecular logic determines embryonic stem cell self-renewal and reprogramming.

Sara-Jane DunnMeng Amy LiElena CarbogninAustin G SmithGraziano Martello
Published in: The EMBO journal (2018)
During differentiation and reprogramming, new cell identities are generated by reconfiguration of gene regulatory networks. Here, we combined automated formal reasoning with experimentation to expose the logic of network activation during induction of naïve pluripotency. We find that a Boolean network architecture defined for maintenance of naïve state embryonic stem cells (ESC) also explains transcription factor behaviour and potency during resetting from primed pluripotency. Computationally identified gene activation trajectories were experimentally substantiated at single-cell resolution by RT-qPCR Contingency of factor availability explains the counterintuitive observation that Klf2, which is dispensable for ESC maintenance, is required during resetting. We tested 124 predictions formulated by the dynamic network, finding a predictive accuracy of 77.4%. Finally, we show that this network explains and predicts experimental observations of somatic cell reprogramming. We conclude that a common deterministic program of gene regulation is sufficient to govern maintenance and induction of naïve pluripotency. The tools exemplified here could be broadly applied to delineate dynamic networks underlying cell fate transitions.
Keyphrases
  • embryonic stem cells
  • cell fate
  • single cell
  • transcription factor
  • stem cells
  • rna seq
  • cell therapy
  • machine learning
  • gene expression
  • deep learning
  • mesenchymal stem cells
  • bone marrow
  • genome wide identification