Master regulators as order parameters of gene expression states

Andreas Krämer
Phys. Rev. E 103, 012409 – Published 19 January 2021
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Abstract

Cell type-specific gene expression patterns are represented as memory states of a Hopfield neural network model. It is shown that order parameters of this model can be interpreted as concentrations of master transcription regulators that form concurrent positive feedback loops with a large number of downstream regulated genes. The order parameter free energy then defines an epigenetic landscape in which local minima correspond to stable cell states. The model is applied to gene expression data in the context of hematopoiesis.

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  • Received 27 October 2020
  • Accepted 22 December 2020

DOI:https://doi.org/10.1103/PhysRevE.103.012409

©2021 American Physical Society

Physics Subject Headings (PhySH)

Physics of Living Systems

Authors & Affiliations

Andreas Krämer*

  • QIAGEN, Redwood City, California 94063, USA

  • *andreas.kramer@qiagen.com

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Vol. 103, Iss. 1 — January 2021

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