Cargando…

Genotype-phenotype relations of the von Hippel-Lindau tumor suppressor inferred from a large-scale analysis of disease mutations and interactors

Familiar cancers represent a privileged point of view for studying the complex cellular events inducing tumor transformation. Von Hippel-Lindau syndrome, a familiar predisposition to develop cancer is a clear example. Here, we present our efforts to decipher the role of von Hippel-Lindau tumor suppr...

Descripción completa

Detalles Bibliográficos
Autores principales: Minervini, Giovanni, Quaglia, Federica, Tabaro, Francesco, Tosatto, Silvio C. E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6464237/
https://www.ncbi.nlm.nih.gov/pubmed/30943211
http://dx.doi.org/10.1371/journal.pcbi.1006478
_version_ 1783410845927079936
author Minervini, Giovanni
Quaglia, Federica
Tabaro, Francesco
Tosatto, Silvio C. E.
author_facet Minervini, Giovanni
Quaglia, Federica
Tabaro, Francesco
Tosatto, Silvio C. E.
author_sort Minervini, Giovanni
collection PubMed
description Familiar cancers represent a privileged point of view for studying the complex cellular events inducing tumor transformation. Von Hippel-Lindau syndrome, a familiar predisposition to develop cancer is a clear example. Here, we present our efforts to decipher the role of von Hippel-Lindau tumor suppressor protein (pVHL) in cancer insurgence. We collected high quality information about both pVHL mutations and interactors to investigate the association between patient phenotypes, mutated protein surface and impaired interactions. Our data suggest that different phenotypes correlate with localized perturbations of the pVHL structure, with specific cell functions associated to different protein surfaces. We propose five different pVHL interfaces to be selectively involved in modulating proteins regulating gene expression, protein homeostasis as well as to address extracellular matrix (ECM) and ciliogenesis associated functions. These data were used to drive molecular docking of pVHL with its interactors and guide Petri net simulations of the most promising alterations. We predict that disruption of pVHL association with certain interactors can trigger tumor transformation, inducing metabolism imbalance and ECM remodeling. Collectively taken, our findings provide novel insights into VHL-associated tumorigenesis. This highly integrated in silico approach may help elucidate novel treatment paradigms for VHL disease.
format Online
Article
Text
id pubmed-6464237
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-64642372019-05-03 Genotype-phenotype relations of the von Hippel-Lindau tumor suppressor inferred from a large-scale analysis of disease mutations and interactors Minervini, Giovanni Quaglia, Federica Tabaro, Francesco Tosatto, Silvio C. E. PLoS Comput Biol Research Article Familiar cancers represent a privileged point of view for studying the complex cellular events inducing tumor transformation. Von Hippel-Lindau syndrome, a familiar predisposition to develop cancer is a clear example. Here, we present our efforts to decipher the role of von Hippel-Lindau tumor suppressor protein (pVHL) in cancer insurgence. We collected high quality information about both pVHL mutations and interactors to investigate the association between patient phenotypes, mutated protein surface and impaired interactions. Our data suggest that different phenotypes correlate with localized perturbations of the pVHL structure, with specific cell functions associated to different protein surfaces. We propose five different pVHL interfaces to be selectively involved in modulating proteins regulating gene expression, protein homeostasis as well as to address extracellular matrix (ECM) and ciliogenesis associated functions. These data were used to drive molecular docking of pVHL with its interactors and guide Petri net simulations of the most promising alterations. We predict that disruption of pVHL association with certain interactors can trigger tumor transformation, inducing metabolism imbalance and ECM remodeling. Collectively taken, our findings provide novel insights into VHL-associated tumorigenesis. This highly integrated in silico approach may help elucidate novel treatment paradigms for VHL disease. Public Library of Science 2019-04-03 /pmc/articles/PMC6464237/ /pubmed/30943211 http://dx.doi.org/10.1371/journal.pcbi.1006478 Text en © 2019 Minervini et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Minervini, Giovanni
Quaglia, Federica
Tabaro, Francesco
Tosatto, Silvio C. E.
Genotype-phenotype relations of the von Hippel-Lindau tumor suppressor inferred from a large-scale analysis of disease mutations and interactors
title Genotype-phenotype relations of the von Hippel-Lindau tumor suppressor inferred from a large-scale analysis of disease mutations and interactors
title_full Genotype-phenotype relations of the von Hippel-Lindau tumor suppressor inferred from a large-scale analysis of disease mutations and interactors
title_fullStr Genotype-phenotype relations of the von Hippel-Lindau tumor suppressor inferred from a large-scale analysis of disease mutations and interactors
title_full_unstemmed Genotype-phenotype relations of the von Hippel-Lindau tumor suppressor inferred from a large-scale analysis of disease mutations and interactors
title_short Genotype-phenotype relations of the von Hippel-Lindau tumor suppressor inferred from a large-scale analysis of disease mutations and interactors
title_sort genotype-phenotype relations of the von hippel-lindau tumor suppressor inferred from a large-scale analysis of disease mutations and interactors
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6464237/
https://www.ncbi.nlm.nih.gov/pubmed/30943211
http://dx.doi.org/10.1371/journal.pcbi.1006478
work_keys_str_mv AT minervinigiovanni genotypephenotyperelationsofthevonhippellindautumorsuppressorinferredfromalargescaleanalysisofdiseasemutationsandinteractors
AT quagliafederica genotypephenotyperelationsofthevonhippellindautumorsuppressorinferredfromalargescaleanalysisofdiseasemutationsandinteractors
AT tabarofrancesco genotypephenotyperelationsofthevonhippellindautumorsuppressorinferredfromalargescaleanalysisofdiseasemutationsandinteractors
AT tosattosilvioce genotypephenotyperelationsofthevonhippellindautumorsuppressorinferredfromalargescaleanalysisofdiseasemutationsandinteractors