Cited by 775Gene Regulatory Network AnalysisDevelopmental Biology and Gene RegulationGenomics and Chromatin Dynamics

Cell Fates as High-Dimensional Attractor States of a Complex Gene Regulatory Network

Huang, Sui, Eichler, Gabriel, Bar-Yam, Yaneer, Ingber, Donald E.·2005·Physical Review Letters

Abstract

Cells in multicellular organisms switch between distinct cell fates, such as proliferation or differentiation into specialized cell types. Genome-wide gene regulatory networks govern this behavior. Theoretical studies of complex networks suggest that they can exhibit ordered (stable) dynamics, raising the possibility that cell fates may represent high-dimensional attractor states. We used gene expression profiling to show that trajectories of neutrophil differentiation converge to a common state from different directions of a 2773-dimensional gene expression state space, providing the first experimental evidence for a high-dimensional stable attractor that represents a distinct cellular phenotype.

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Crossref · 10.1103/physrevlett.94.128701

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  • The model of less mature cells maintaining looser chromatin can be represented by 'attractor states' within a genome-wide gene regulatory network.

    “Theoretically, this model can be represented by “attractor states” within a genome-wide gene regulatory network (47).”
  • Differentiating cells descend toward stable regions of the network (attractor states), characterized by restricted gene expression, whereas metastable cells broadly sample the network, maintaining higher differentiation potential.

    “In this context, differentiating cells descend toward stable regions of the network (attractor states), characterized by restricted gene expression, whereas metastable cells broadly sample the network, maintaining higher differentiation potential (47).”

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Authors
Huang, S., Eichler, G., Bar-Yam, Y., & Ingber, D. E.
Affiliations
Boston Children's Hospital (US)
Venue
Physical Review Letters
Published
2005-04-01
Volume
94
Issue
12
Pages
128701-128701
ISSN
  • 0031-9007 (ISSN-L)
  • 1079-7114
OpenAlex
W2141545875
Cited by
775
References
33
Citations by year
2026: 42 · 2025: 33 · 2024: 30 · 2023: 31 · 2022: 49 · 2021: 42 · 2020: 56 · 2019: 30 · 2018: 54 · 2017: 39 · 2016: 34 · 2015: 32 · 2014: 34 · 2013: 42 · 2012: 26
FWCI
10.04
Type
journal article
Language
en
Open access
closed
Locations
  • Physical Review Letters (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Developmental Biology and Gene Regulation
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
Keywords
cell fate, gene regulatory networks, granulocytic differentiation, cell phenotype, gene expression profiling, network theory
MeSH terms
Cell Differentiation, Dimethyl Sulfoxide, Gene Expression Regulation, Humans, Neutrophils, RNA, Messenger, Tretinoin, HL-60 Cells, Oligonucleotide Array Sequence Analysis, Gene Expression Profiling

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