Data-based stochastic modeling reveals sources of activity bursts in single-cell TGF-β signaling.

ABSTRACT: Cells sense their surrounding by employing intracellular signaling pathways that transmit hormonal signals from the cell membrane to the nucleus. TGF-β/SMAD signaling encodes various cell fates, controls tissue homeostasis and is deregulated in diseases such as cancer. The pathway shows strong heterogeneity at the single-cell level, but quantitative insights into mechanisms underlying fluctuations at various time scales are still missing, partly due to inefficiency in the calibration of stochastic models that mechanistically describe signaling processes. In this work we analyze single-cell TGF-β/SMAD signaling and show that it exhibits temporal stochastic bursts which are dose-dependent and whose number and magnitude correlate with cell migration. We propose a stochastic modeling approach

SUBMITTER: Kolbe N 

PROVIDER: S-EPMC9269928 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature