Effect of transcription reinitiation in stochastic gene expression

Abstract Gene expression (GE) is an inherently random or stochastic noisy process. The randomness in different steps of GE, e.g., transcription, translation, degradation, etc., leading to cell-to-cell variations mRNA and protein levels. This variation appears organisms ranging from microbes metazoans. Stochastic GE has important consequences for cellular function. fluctuations levels produce variability behavior. It beneficial some contexts harmful others. These situations include stress response, metabolism, development, cell cycle, circadian rhythms, aging. Different model studies constitutive, two-state, reveal that the arise among which transcription have maximum effect. pulsatile production through RNAP-II based reinitiation part gene transcription. Though, effect process on very little known. addition any biochemical step constitutive two-state generally decreases mean increases Fano factor. In this study, we shown can effects both factor at systems. network whereas other networks it simultaneously increase decrease quantities mixed-effect We propose a with behaves like product independent negative feedback circuit behave as either positive mixed circuit.