2022
DOI: 10.1007/978-3-031-06573-6_2
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A Unified Genomic Mechanism of Cell-Fate Change

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Cited by 8 publications
(16 citation statements)
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“…The arising of "expression waves" marking state transitions related to chromatin structural reorganization through self-organised critical control of whole-genome expression explains the regulation of biological adaptive systems, including the early embryo, living on the edge of chaos [27][28][29] and using explorative adaptation, which is particularly evident in cancer [14,30].…”
Section: Biphasic Temporal Expression Of Ap-1 Response In Various Str...mentioning
confidence: 99%
“…The arising of "expression waves" marking state transitions related to chromatin structural reorganization through self-organised critical control of whole-genome expression explains the regulation of biological adaptive systems, including the early embryo, living on the edge of chaos [27][28][29] and using explorative adaptation, which is particularly evident in cancer [14,30].…”
Section: Biphasic Temporal Expression Of Ap-1 Response In Various Str...mentioning
confidence: 99%
“…Through considerable research over the past several decades, c-SOC has become an important topic in many scientific research domains, such as brain research and social science [7,8]. In genomics, our own findings [9][10][11][12][13][14][15][16] revealed that self-organized criticality (SOC) is also a plausible, physically motivated, candidate framework for massive, coordinated gene expression regulation.…”
Section: Introductionmentioning
confidence: 99%
“…The occurrence of SOC in cell-fate changes has been demonstrated using a mean-field approach that exploits the average characteristics of groups of genes instead of dealing with noisy expressions of individual genes. This technique is grounded in the existence of the Coherent Stochastic Behavior (CSB; see more in [9][10][11][12][13][14][15][16]) of gene expressions within sufficiently large gene groups. While individual genes within a given group display stochasticity, the group's average expressions (centers of mass, CMs) quickly converge to certain values after the size of the group becomes sufficiently large.…”
Section: Introductionmentioning
confidence: 99%
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