The elucidation of the how and when of a cell-fate change asks for a physically reasonable mechanism allowing to achieve a coordinated switching of thousands of genes within a small and highly packed cell nucleus. We previously demonstrated that whole genome expression is dynamically self-organized through the emergence of a critical point. Furthermore, it has been confirmed that this happens at both the cell-population and single-cell level through the physical principle of self-organized criticality.In this paper, we further examine the genomic mechanism which determines cell-fate changes from embryo to cancer development. The state of the critical point, acting as the organizing center of cell-fate, determines whether the genome resides in a super-or sub-critical state. In the super-critical state, a specific stochastic perturbation can spread over the entire system through the 'genome engine' -an autonomous critical-control genomic system, whereas in the sub-critical state, the perturbation remains at a local level. We provide a consistent framework to develop a biological regulation transition theory demonstrating the cell-fate change.SOC builds upon the fact that the stochastic perturbations initially propagate locally (i.e., sub-critical state); however, due to the particularity of the disturbance, the perturbation can spread over the entire system in a highly cooperative manner (i.e., the super-critical state). As the system approaches its critical point, global behavior emerges in a self-organized manner.The coordinated character (and possible self-organization) of the process stems from the so called 'domino effect' present in all the biological signaling (e.g., in allosteric effect, see:[Wagner, J. R., et al., 2016])) where microscopic local effects generalize to the entire system spreading along 'preferential pathways'. The above-depicted classical concept of SOC explained above has been extended to propose a conceptual model of the cell-fate decision (critical-like self-organization or rapid SOC) through the extension of minimalistic models of cellular behavior [Halley, J. D., et al., 2009]. The cell-fate decision-making model considers gene regulatory networks to adopt an exploratory process, where diverse cell-fate options are generated by the priming of various transcriptional programs. As a result, a cell-fate gene module is selectively amplified as the network system approaches a critical state. Such amplification corresponds to the emergence of long-range activation/deactivation of genes across the entire genome.We adapted SOC paradigm at cell-fate decision and investigated whole genome expression and its dynamics to address the following fundamental questions:-Is there any underlying principle that self-regulates the time evolution of whole-genome expression?-Can we identify a peculiar genome region guiding the super-critical genome and determining cell fate change?-Can we rely on a universal mechanism to grasp the how and when of cell-fate change occurs?Our previous studies of self-organizati...