Maximum Caliber Can Build and Infer Models of Oscillation in a Three-Gene Feedback Network.

ABSTRACT: Single-cell protein expression time trajectories provide rich temporal data quantifying cellular variability and its role in dictating fitness. However, theoretical models to analyze and fully extract information from these measurements remain limited for three reasons: (i) gene expression profiles are noisy, rendering models of averages inapplicable, (ii) experiments typically measure only a few protein species while leaving other molecular actors-necessary to build traditional bottom-up models-unnoticed, and (iii) measured data are in fluorescence, not particle number. We recently addressed these challenges in an alternate top-down approach using the principle of Maximum Caliber (MaxCal) to model genetic switches with one and two protein species. In the present work we address scalabilit

SUBMITTER: Firman T 

PROVIDER: S-EPMC6800126 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature