Hierarchical cell identities emerge from animal gene regulatory mechanisms
Anton Grishechkin, Abhirup Mukherjee, Omer Karin

TL;DR
This paper develops a mathematical model showing that hierarchical cell identities in animals emerge from enhancer competition and epigenetic regulation, explaining lineage relationships and dysregulation in cancer.
Contribution
It introduces a predictive mathematical theory linking epigenetic mechanisms to hierarchical cell identities and lineage dynamics in animal development.
Findings
Hierarchical identities arise from enhancer competition and epigenetic interactions.
The model predicts blood progenitor relationships and cell identity dysregulation.
Modulation of enhancer competition influences developmental and cancer processes.
Abstract
The hierarchical organisation of cell identity is a fundamental feature of animal development with rich and well-characterized experimental phenomenology, yet the mechanisms driving its emergence remain unknown. The regulation of cell identity genes relies on a distinct mechanism involving higher-order interactions of transcription factors on distant regulatory regions called enhancers. These interactions are mediated by epigenetic regulators that are broadly shared between enhancers. Through the development of a new and predictive mathematical theory on the effects of epigenetic regulator activity on gene network dynamics, we demonstrate that hierarchical identities are essential emergent properties of animal-specific gene regulatory mechanisms. Hierarchical identities arise from the interplay between enhancer competition for epigenetic readers and cooperation through activation of…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMemory and Neural Mechanisms · Neural Networks and Applications · Neural dynamics and brain function
