Fractal mRNA Processing: A Paradigm Shift in Gene Expression Regulation

Traditional models of gene expression regulation often rely on linear or discrete stochastic frameworks to describe the transition from DNA to functional protein. However, emerging evidence suggests that the spatial and temporal organization of messenger RNA (mRNA) processing exhibits fractal properties—self-similar patterns across multiple scales of observation. This paper explores the "Fractal mRNA Processing" hypothesis, arguing that the non-linear, recursive nature of splicing, transport, and decay represents a paradigm shift in our understanding of cellular efficiency. By applying power-law dynamics to transcriptomic data, we demonstrate how fractal organisation allows the cell to manage biological noise and optimise metabolic flux. This framework reconciles the apparent chaos of the nucleoplasm with the high precision of phenotypic outcomes.