Phase plane dynamics of ERK phosphorylation.

dual phosphorylation enzyme kinetics heterozygosity mitogen-activated protein kinase (MAPK) signaling modeling and simulation parameter estimation phase plane analysis

Journal

The Journal of biological chemistry
ISSN: 1083-351X
Titre abrégé: J Biol Chem
Pays: United States
ID NLM: 2985121R

Informations de publication

Date de publication:
Nov 2023
Historique:
received: 23 01 2023
revised: 27 08 2023
accepted: 29 08 2023
medline: 27 11 2023
pubmed: 11 9 2023
entrez: 10 9 2023
Statut: ppublish

Résumé

The extracellular signal-regulated kinase (ERK) controls multiple critical processes in the cell and is deregulated in human cancers, congenital abnormalities, immune diseases, and neurodevelopmental syndromes. Catalytic activity of ERK requires dual phosphorylation by an upstream kinase, in a mechanism that can be described by two sequential Michaelis-Menten steps. The estimation of individual reaction rate constants from kinetic data in the full mechanism has proved challenging. Here, we present an analytically tractable approach to parameter estimation that is based on the phase plane representation of ERK activation and yields two combinations of six reaction rate constants in the detailed mechanism. These combinations correspond to the ratio of the specificities of two consecutive phosphorylations and the probability that monophosphorylated substrate does not dissociate from the enzyme before the second phosphorylation. The presented approach offers a language for comparing the effects of mutations that disrupt ERK activation and function in vivo. As an illustration, we use phase plane representation to analyze dual phosphorylation under heterozygous conditions, when two enzyme variants compete for the same substrate.

Identifiants

pubmed: 37690685
pii: S0021-9258(23)02262-7
doi: 10.1016/j.jbc.2023.105234
pmc: PMC10616409
pii:
doi:

Substances chimiques

Extracellular Signal-Regulated MAP Kinases EC 2.7.11.24

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

105234

Informations de copyright

Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Conflict of interest The authors declare no conflicts of interest with the contents of this article.

Auteurs

Stanislav Y Shvartsman (SY)

Department of Molecular Biology, Princeton University, Princeton, New Jersey, USA; Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey, USA; Center for Computational Biology, Flatiron Institute, New York, New York, USA. Electronic address: stas@princeton.edu.

Sarah McFann (S)

Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey, USA; Department of Chemical and Biological Engineering, Princeton University, Princeton, New Jersey, USA.

Martin Wühr (M)

Department of Molecular Biology, Princeton University, Princeton, New Jersey, USA; Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey, USA.

Boris Y Rubinstein (BY)

Stowers Institute for Medical Research, Kansas City, Missouri, USA.

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Classifications MeSH