Single-cell analysis of p53 transitional dynamics unravels stimulus- and cell type-dependent signaling output motifs.

ABSTRACT:

Background

To understand functional changes of complex biological networks, mathematical modeling of network topologies provides a quantitative measure of the way biological systems adapt to external stimuli. However, systemic network topology-based analysis often generates conflicting evidence depending on specific experimental conditions, leading to a limited mechanistic understanding of signaling networks and their differential dynamic outputs, an example of which is the regulation of p53 pathway responses to different stress stimuli and in variable mammalian cell types. Here, we employ a network motif approach to dissect key regulatory units of the p53 pathway and elucidate how network activities at the motif level generate context-specific dynamic responses.

Results

By

SUBMITTER: Xie J 

PROVIDER: S-EPMC9004066 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature