Cited by 4Protein Kinase Regulation and GTPase SignalingGene Regulatory Network AnalysisPI3K/AKT/mTOR signaling in cancer

Computational modeling implicates protein scaffolding in p38 regulation of Akt

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Kinnunen, Patrick C., Luker, Gary D., Luker, Kathryn E., Linderman, Jennifer J.·2022·Journal of Theoretical Biology

Abstract

Cells process environmental cues by activating intracellular signaling pathways with numerous interconnections and opportunities for cross-regulation. We employed a systems biology approach to investigate intersections of kinase p38, a context-dependent tumor suppressor or promoter, with Akt and ERK, two kinases known to promote cell survival, proliferation, and drug resistance in cancer. Using live, single cell microscopy, multiplexed fluorescent reporters of p38, Akt, and ERK activities, and a custom automated image-processing pipeline, we detected marked heterogeneity of signaling outputs in breast cancer cells stimulated with chemokine CXCL12 or epidermal growth factor (EGF). Basal activity of p38 correlated inversely with amplitude of Akt and ERK activation in response to either ligand. Remarkably, small molecule inhibitors of p38 immediately decreased basal activities of Akt and ERK but increased the proportion of cells with high amplitude ligand-induced activation of Akt signaling. To identify mechanisms underlying cross-talk of p38 with Akt signaling, we developed a computational model incorporating subcellular compartmentalization of signaling molecules by scaffold proteins. Dynamics of this model revealed that subcellular scaffolding of Akt accounted for observed regulation by p38. The model also predicted that differences in the amount of scaffold protein in a subcellular compartment captured the observed single cell heterogeneity in signaling. Finally, our model predicted that reduction in kinase signaling can be accomplished by both scaffolding and direct kinase inhibition. However, scaffolding inhibition can potentiate future kinase activity by redistribution of pathway components, potentially amplifying oncogenic signaling. These studies reveal how computational modeling can decipher mechanisms of cross-talk between the p38 and Akt signaling pathways and point to scaffold proteins as central regulators of signaling dynamics and amplitude.

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Authors
Kinnunen, P. C., Luker, G. D., Luker, K. E., & Linderman, J. J.
Affiliations
University of Michigan (US)
Corresponding author
Linderman, Jennifer J.
Venue
Journal of Theoretical Biology
Publisher
Elsevier BV
Published
2022-12
Volume
555
Pages
111294
ISSN
0022-5193 (ISSN-L)
OpenAlex
W4298137241
Cited by
4
References
50
Citations by year
2025: 1 · 2024: 2 · 2023: 1
FWCI
0.33
Type
journal article
Language
en
Open access
Locations
  • Journal of Theoretical Biology (acceptedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • W. M. Keck Foundation
  • National Institutes of Health
  • Michigan Institute for Data Science, University of Michigan
  • National Cancer Institute (R33CA225549, U24CA237683, U01CA210152, R01CA238042, R01CA238023, R50CA221807, R37CA222563)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Kinase Regulation and GTPase Signaling
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › PI3K/AKT/mTOR signaling in cancer
Keywords
p38 MAPK, Akt signaling, ERK signaling, protein scaffolding, breast cancer, CXCL12, epidermal growth factor, p38 inhibitor, subcellular compartmentalization, computational modeling of signaling
MeSH terms
Computer Simulation, Epidermal Growth Factor, Ligands, MAP Kinase Signaling System, Proto-Oncogene Proteins c-akt, Chemokine CXCL12

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