Feedback control of pluripotency in embryonic stem cells: Signaling, transcription and epigenetics.

Stem Cell Res

Department of Regenerative and Developmental Biology, Mount Sinai School of Medicine, One Gustave L. Levy Place, New York, NY 10029, USA; Black Family Stem Cell Institute, Mount Sinai School of Medicine, One Gustave L. Levy Place, New York, NY 10029, USA; Department of Pharmacology and System Therapeutics, Mount Sinai School of Medicine, Systems Biology Center New York, One Gustave L. Levy Place, New York, NY 10029, USA.

Published: May 2018

AI Article Synopsis

  • Embryonic stem cells (ESCs) are capable of unlimited proliferation and self-renewal while maintaining their pluripotent state in lab conditions, supported by a complex regulatory network called the pluripotency gene regulatory network (PGRN).
  • Despite extensive research, the precise structure and order of regulatory interactions within the PGRN remain unclear, with many components influencing each other through feedback circuits.
  • The article examines potential organizational features of the PGRN, highlighting feedback control loops in mouse ESCs and their role in enabling the network to adapt to environmental changes.

Article Abstract

Embryonic stem cells (ESCs) can proliferate and self-renew, maintaining their pluripotency status in vitro for a long period of time. Pluripotent states of ESCs in vitro are supported by a network of signaling, transcriptional and epigenetic regulatory interactions known as the pluripotency gene regulatory network (PGRN). Despite extensive investigation of the network, the exact order of regulatory links and many structural features of the network are still missing. Analysis of published data and literature reveals numerous PGRN components regulating each other in a mutual fashion, thus creating multiple regulatory feedback control circuits. Here we consider possible organizational features of PGRN and describe examples representing known feedback control loops in the context of mouse ESCs. We discuss how the feedback control interactions can contribute to learning behavior and dynamic responses of pluripotency gene network to changing environments.

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Source
http://dx.doi.org/10.1016/j.scr.2018.02.012DOI Listing

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