Biophysics ReviewsGenomicsPeer-reviewed journal article
Self-Organization of Whole Gene Expression through Coordinated Chromatin Structural Transition: Validation of Self-Organized Critical Control of Genome Expression
Giovanna ZimatoreiD, Masa Tsuchiya, Midori HashimotoiD, Andrzej KasperskiiD, Alessandro GiulianiiD
Abstract
Through our studies on whole genome regulation, we have demonstrated the existence of self-organized critical control (SOC) of whole gene expression - genomic self-organization mechanism through the emergence of a critical point (CP) at both the cell population and single cell level. In this paper, based on HRG and EGF-stimulated MCF-7 breast-cancer cell line, we shed light on the origin of critical transitions stemming from coordinated chromatin remodeling. In so doing, we validated the core of the SOC control mechanism through the application of a non-linear signal analysis technique (Recurrence Quantification Analysis: RQA), and of Principal Component Analysis (PCA). The main findings were: O_LITranscriptional co-regulation follows a strong and invariant exponential decay as between gene spacing along the chromosome is increased. This shows that the co-regulation occurs on a mainly positional basis reflecting local chromatin organization. C_LIO_LIThere are two main fluctuation modes on the top of the cell-kind specific gene expression values spanning the entire genome expression. These modes establish an autonomous genomic critical control system (genome-engine) through the activation of the CP for cell-fate guiding critical transitions revealed by SOC analysis. C_LI The elucidation of the link between spatial position on chromosome and co-regulation together with the identification of specific locations on the genome devoted to the generalization of perturbation stimuli, give a molecular basis to the self-organization dynamics of genome expression and cell-fate decision.
- organism: human
- assay: whole-genome sequencing
- assay: ChIP-seq
- research focus: gene regulatory network inference
- research focus: cell type annotation
- research focus: differential expression
- approach: statistical model
- Citations
- 33
- FWCI
- 0.60
- Field percentile
- top 48%
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