Mathematical framework for hierarchical cell identity control by collective enhancer dynamics
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Author(s)
Grishechkin, Anton
Mukherjee, Abhirup
Karin, Omer
Type
Journal Article
Abstract
The hierarchical organization of cell identity, characterized by progenitor cells coexpressing multiple tran scriptional programs, is a hallmark of animal development with well-documented experimental phenomenology.
However, the mechanisms underlying its emergence remain unclear. Here we investigate the origin and regu lation of progenitor states using a mechanistic mathematical framework based on transcription factor-enhancer
interactions. This framework maps the regulation of cell identity genes to the dynamics of a continuous Modern
Hopfield network, governed by an inverse-temperature-like parameter, β, representing epigenetic modifier
activity, and an input field, w, reflecting signaling activity. We propose that multilineage-primed progenitor states
emerge from the interplay between enhancer competition for epigenetic readers and the activation of overlapping
transcriptional programs. Mathematically, these progenitor states correspond to mixed attractor patterns in the
network at intermediate β values. We introduce an analytical approach to characterize the identity, stability, and
basins of attraction of progenitor states, including their emergence and destabilization at specific β thresholds.
Applying this approach, we explain how signaling can instruct differentiation, reconstruct the complex blood
progenitor landscape from terminal lineages, and identify potential mechanisms of differentiation dysregulation
in cancer. We propose that nonspecific modulation of enhancer competition is a key regulatory axis underlying
cell identity transitions.
However, the mechanisms underlying its emergence remain unclear. Here we investigate the origin and regu lation of progenitor states using a mechanistic mathematical framework based on transcription factor-enhancer
interactions. This framework maps the regulation of cell identity genes to the dynamics of a continuous Modern
Hopfield network, governed by an inverse-temperature-like parameter, β, representing epigenetic modifier
activity, and an input field, w, reflecting signaling activity. We propose that multilineage-primed progenitor states
emerge from the interplay between enhancer competition for epigenetic readers and the activation of overlapping
transcriptional programs. Mathematically, these progenitor states correspond to mixed attractor patterns in the
network at intermediate β values. We introduce an analytical approach to characterize the identity, stability, and
basins of attraction of progenitor states, including their emergence and destabilization at specific β thresholds.
Applying this approach, we explain how signaling can instruct differentiation, reconstruct the complex blood
progenitor landscape from terminal lineages, and identify potential mechanisms of differentiation dysregulation
in cancer. We propose that nonspecific modulation of enhancer competition is a key regulatory axis underlying
cell identity transitions.
Date Issued
2025-10-23
Date Acceptance
2025-09-10
Citation
PRX Life, 2025, 3 (4)
ISSN
2835-8279
Publisher
American Physical Society
Journal / Book Title
PRX Life
Volume
3
Issue
4
Copyright Statement
Published by the American Physical Society Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI.
License URL
Publication Status
Published
Article Number
043007
Date Publish Online
2025-10-23