Abstract
We examine the coordinated behavior of thousands of genes in cell fate transitions through genome expression as an integrated dynamical system using the concepts of self-organized criticality and coherent stochastic behavior. To quantify the effects of the collective behavior of genes, we adopted the flux balance approach and developed it in a new tool termed expression flux analysis (EFA). Here we describe this tool and demonstrate how its application to specific experimental genome-wide expression data provides new insights into the dynamics of the cell-fate transitions. Particularly, we show that in cell fate change, specific stochastic perturbations can spread over the entire system to guide distinct cell fate transitions through switching cyclic flux flow in the genome engine. Utilization of EFA enables us to elucidate a unified genomic mechanism for when and how cell-fate change occurs through critical transitions.
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Abbreviations
- atRA:
-
all-trans retinoic acid
- CM:
-
center of mass
- CP:
-
critical point
- CSB:
-
coherent stochastic behavior
- CV:
-
coefficient of variation
- DMSO:
-
dimethyl sulfoxide
- EFA:
-
expression flux analysis
- EGF:
-
epidermal growth factor
- GA:
-
genome attractor
- HRG:
-
Heregulin
- nrmsf:
-
normalized root mean square fluctuation
- PAD:
-
pericentromeric-associated domain
- PCA:
-
principal component analysis
- SOC:
-
self-organized criticality
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Acknowledgements
MT sincerely thanks Prof. Mariano Bizzarri for his editorial work, Prof. Kenichi Yoshikawa for his supports on cell-fate project over the years, and the following institution and individuals who helped complete this research project: the SEIKO Life Science Laboratory, Osaka, Japan, his family (particularly, his daughters: Drs. Kimiko and Kazumi Tsuchiya, and Dr. Harry Taylor), and Dr. Daisaku Ikeda.
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Tsuchiya, M., Giuliani, A., Brazhnik, P. (2024). From Cell States to Cell Fates: Control of Cell State Transitions. In: Bizzarri, M. (eds) Systems Biology. Methods in Molecular Biology, vol 2745. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-3577-3_9
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DOI: https://doi.org/10.1007/978-1-0716-3577-3_9
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