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Predicted ‘wiring landscape’ of Ras-effector interactions in 29 human tissues

Ras is a plasma membrane (PM)-associated signaling hub protein that interacts with its partners (effectors) in a mutually exclusive fashion. We have shown earlier that competition for binding and hence the occurrence of specific binding events at a hub protein can modulate the activation of downstre...

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Autores principales: Catozzi, Simona, Halasz, Melinda, Kiel, Christina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7881153/
https://www.ncbi.nlm.nih.gov/pubmed/33580066
http://dx.doi.org/10.1038/s41540-021-00170-0
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author Catozzi, Simona
Halasz, Melinda
Kiel, Christina
author_facet Catozzi, Simona
Halasz, Melinda
Kiel, Christina
author_sort Catozzi, Simona
collection PubMed
description Ras is a plasma membrane (PM)-associated signaling hub protein that interacts with its partners (effectors) in a mutually exclusive fashion. We have shown earlier that competition for binding and hence the occurrence of specific binding events at a hub protein can modulate the activation of downstream pathways. Here, using a mechanistic modeling approach that incorporates high-quality proteomic data of Ras and 56 effectors in 29 (healthy) human tissues, we quantified the amount of individual Ras-effector complexes, and characterized the (stationary) Ras “wiring landscape” specific to each tissue. We identified nine effectors that are in significant amount in complex with Ras in at least one of the 29 tissues. We simulated both mutant- and stimulus-induced network re-configurations, and assessed their divergence from the reference scenario, specifically discussing a case study for two stimuli in three epithelial tissues. These analyses pointed to 32 effectors that are in significant amount in complex with Ras only if they are additionally recruited to the PM, e.g. via membrane-binding domains or domains binding to activated receptors at the PM. Altogether, our data emphasize the importance of tissue context for binding events at the Ras signaling hub.
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spelling pubmed-78811532021-02-25 Predicted ‘wiring landscape’ of Ras-effector interactions in 29 human tissues Catozzi, Simona Halasz, Melinda Kiel, Christina NPJ Syst Biol Appl Article Ras is a plasma membrane (PM)-associated signaling hub protein that interacts with its partners (effectors) in a mutually exclusive fashion. We have shown earlier that competition for binding and hence the occurrence of specific binding events at a hub protein can modulate the activation of downstream pathways. Here, using a mechanistic modeling approach that incorporates high-quality proteomic data of Ras and 56 effectors in 29 (healthy) human tissues, we quantified the amount of individual Ras-effector complexes, and characterized the (stationary) Ras “wiring landscape” specific to each tissue. We identified nine effectors that are in significant amount in complex with Ras in at least one of the 29 tissues. We simulated both mutant- and stimulus-induced network re-configurations, and assessed their divergence from the reference scenario, specifically discussing a case study for two stimuli in three epithelial tissues. These analyses pointed to 32 effectors that are in significant amount in complex with Ras only if they are additionally recruited to the PM, e.g. via membrane-binding domains or domains binding to activated receptors at the PM. Altogether, our data emphasize the importance of tissue context for binding events at the Ras signaling hub. Nature Publishing Group UK 2021-02-12 /pmc/articles/PMC7881153/ /pubmed/33580066 http://dx.doi.org/10.1038/s41540-021-00170-0 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Catozzi, Simona
Halasz, Melinda
Kiel, Christina
Predicted ‘wiring landscape’ of Ras-effector interactions in 29 human tissues
title Predicted ‘wiring landscape’ of Ras-effector interactions in 29 human tissues
title_full Predicted ‘wiring landscape’ of Ras-effector interactions in 29 human tissues
title_fullStr Predicted ‘wiring landscape’ of Ras-effector interactions in 29 human tissues
title_full_unstemmed Predicted ‘wiring landscape’ of Ras-effector interactions in 29 human tissues
title_short Predicted ‘wiring landscape’ of Ras-effector interactions in 29 human tissues
title_sort predicted ‘wiring landscape’ of ras-effector interactions in 29 human tissues
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7881153/
https://www.ncbi.nlm.nih.gov/pubmed/33580066
http://dx.doi.org/10.1038/s41540-021-00170-0
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