Inferring Leading Interactions in the p53/Mdm2/Mdmx Circuit through Live-Cell Imaging and Modeling.

Autor:	Heltberg ML; Niels Bohr Institute, University of Copenhagen 2100, Copenhagen, Denmark; Department of Systems Biology, Harvard Medical School, Boston, MA, USA., Chen SH; Department of Systems Biology, Harvard Medical School, Boston, MA, USA; Institute of Molecular Biology, Academia Sinica, Taipei, Taiwan., Jiménez A; Department of Systems Biology, Harvard Medical School, Boston, MA, USA., Jambhekar A; Department of Systems Biology, Harvard Medical School, Boston, MA, USA., Jensen MH; Niels Bohr Institute, University of Copenhagen 2100, Copenhagen, Denmark. Electronic address: mhjensen@nbi.ku.dk., Lahav G; Department of Systems Biology, Harvard Medical School, Boston, MA, USA. Electronic address: galit@hms.harvard.edu.
Jazyk:	angličtina
Zdroj:	Cell systems [Cell Syst] 2019 Dec 18; Vol. 9 (6), pp. 548-558.e5. Date of Electronic Publication: 2019 Dec 04.
DOI:	10.1016/j.cels.2019.10.010
Abstrakt:	The tumor-suppressive transcription factor p53 is a master regulator of stress responses. In non-stressed conditions, p53 is maintained at low levels by the ubiquitin ligase Mdm2 and its binding partner Mdmx. Mdmx depletion leads to a biphasic p53 response, with an initial post-mitotic pulse followed by oscillations. The mechanism underlying this dynamical behavior is unknown. Two different roles for Mdmx have been proposed: enhancing p53 ubiquitination by Mdm2 and inhibiting p53 activity. Here, we developed a mathematical model of the p53/Mdm2/Mdmx network to investigate which Mdmx functions quantitatively affect specific features of p53 dynamics under various conditions. We found that enhancement of Mdm2 activity was the most critical role of Mdmx under unstressed conditions. The model also accurately predicted p53 dynamics in Mdmx-depleted cells following DNA damage. This work outlines a strategy for rapidly testing possible network interactions to reveal those most impactful in regulating the dynamics of key proteins. (Copyright © 2019 Elsevier Inc. All rights reserved.)
Databáze:	MEDLINE
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