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Multi-model functionalization of disease-associated PTEN missense mutations identifies multiple molecular mechanisms underlying protein dysfunction

Functional variomics provides the foundation for personalized medicine by linking genetic variation to disease expression, outcome and treatment, yet its utility is dependent on appropriate assays to evaluate mutation impact on protein function. To fully assess the effects of 106 missense and nonsen...

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Autores principales: Post, Kathryn L., Belmadani, Manuel, Ganguly, Payel, Meili, Fabian, Dingwall, Riki, McDiarmid, Troy A., Meyers, Warren M., Herrington, Caitlin, Young, Barry P., Callaghan, Daniel B., Rogic, Sanja, Edwards, Matthew, Niciforovic, Ana, Cau, Alessandro, Rankin, Catharine H., O’Connor, Timothy P., Bamji, Shernaz X., Loewen, Christopher J. R., Allan, Douglas W., Pavlidis, Paul, Haas, Kurt
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7190743/
https://www.ncbi.nlm.nih.gov/pubmed/32350270
http://dx.doi.org/10.1038/s41467-020-15943-0
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author Post, Kathryn L.
Belmadani, Manuel
Ganguly, Payel
Meili, Fabian
Dingwall, Riki
McDiarmid, Troy A.
Meyers, Warren M.
Herrington, Caitlin
Young, Barry P.
Callaghan, Daniel B.
Rogic, Sanja
Edwards, Matthew
Niciforovic, Ana
Cau, Alessandro
Rankin, Catharine H.
O’Connor, Timothy P.
Bamji, Shernaz X.
Loewen, Christopher J. R.
Allan, Douglas W.
Pavlidis, Paul
Haas, Kurt
author_facet Post, Kathryn L.
Belmadani, Manuel
Ganguly, Payel
Meili, Fabian
Dingwall, Riki
McDiarmid, Troy A.
Meyers, Warren M.
Herrington, Caitlin
Young, Barry P.
Callaghan, Daniel B.
Rogic, Sanja
Edwards, Matthew
Niciforovic, Ana
Cau, Alessandro
Rankin, Catharine H.
O’Connor, Timothy P.
Bamji, Shernaz X.
Loewen, Christopher J. R.
Allan, Douglas W.
Pavlidis, Paul
Haas, Kurt
author_sort Post, Kathryn L.
collection PubMed
description Functional variomics provides the foundation for personalized medicine by linking genetic variation to disease expression, outcome and treatment, yet its utility is dependent on appropriate assays to evaluate mutation impact on protein function. To fully assess the effects of 106 missense and nonsense variants of PTEN associated with autism spectrum disorder, somatic cancer and PTEN hamartoma syndrome (PHTS), we take a deep phenotypic profiling approach using 18 assays in 5 model systems spanning diverse cellular environments ranging from molecular function to neuronal morphogenesis and behavior. Variants inducing instability occur across the protein, resulting in partial-to-complete loss-of-function (LoF), which is well correlated across models. However, assays are selectively sensitive to variants located in substrate binding and catalytic domains, which exhibit complete LoF or dominant negativity independent of effects on stability. Our results indicate that full characterization of variant impact requires assays sensitive to instability and a range of protein functions.
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spelling pubmed-71907432020-05-01 Multi-model functionalization of disease-associated PTEN missense mutations identifies multiple molecular mechanisms underlying protein dysfunction Post, Kathryn L. Belmadani, Manuel Ganguly, Payel Meili, Fabian Dingwall, Riki McDiarmid, Troy A. Meyers, Warren M. Herrington, Caitlin Young, Barry P. Callaghan, Daniel B. Rogic, Sanja Edwards, Matthew Niciforovic, Ana Cau, Alessandro Rankin, Catharine H. O’Connor, Timothy P. Bamji, Shernaz X. Loewen, Christopher J. R. Allan, Douglas W. Pavlidis, Paul Haas, Kurt Nat Commun Article Functional variomics provides the foundation for personalized medicine by linking genetic variation to disease expression, outcome and treatment, yet its utility is dependent on appropriate assays to evaluate mutation impact on protein function. To fully assess the effects of 106 missense and nonsense variants of PTEN associated with autism spectrum disorder, somatic cancer and PTEN hamartoma syndrome (PHTS), we take a deep phenotypic profiling approach using 18 assays in 5 model systems spanning diverse cellular environments ranging from molecular function to neuronal morphogenesis and behavior. Variants inducing instability occur across the protein, resulting in partial-to-complete loss-of-function (LoF), which is well correlated across models. However, assays are selectively sensitive to variants located in substrate binding and catalytic domains, which exhibit complete LoF or dominant negativity independent of effects on stability. Our results indicate that full characterization of variant impact requires assays sensitive to instability and a range of protein functions. Nature Publishing Group UK 2020-04-29 /pmc/articles/PMC7190743/ /pubmed/32350270 http://dx.doi.org/10.1038/s41467-020-15943-0 Text en © The Author(s) 2020 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
Post, Kathryn L.
Belmadani, Manuel
Ganguly, Payel
Meili, Fabian
Dingwall, Riki
McDiarmid, Troy A.
Meyers, Warren M.
Herrington, Caitlin
Young, Barry P.
Callaghan, Daniel B.
Rogic, Sanja
Edwards, Matthew
Niciforovic, Ana
Cau, Alessandro
Rankin, Catharine H.
O’Connor, Timothy P.
Bamji, Shernaz X.
Loewen, Christopher J. R.
Allan, Douglas W.
Pavlidis, Paul
Haas, Kurt
Multi-model functionalization of disease-associated PTEN missense mutations identifies multiple molecular mechanisms underlying protein dysfunction
title Multi-model functionalization of disease-associated PTEN missense mutations identifies multiple molecular mechanisms underlying protein dysfunction
title_full Multi-model functionalization of disease-associated PTEN missense mutations identifies multiple molecular mechanisms underlying protein dysfunction
title_fullStr Multi-model functionalization of disease-associated PTEN missense mutations identifies multiple molecular mechanisms underlying protein dysfunction
title_full_unstemmed Multi-model functionalization of disease-associated PTEN missense mutations identifies multiple molecular mechanisms underlying protein dysfunction
title_short Multi-model functionalization of disease-associated PTEN missense mutations identifies multiple molecular mechanisms underlying protein dysfunction
title_sort multi-model functionalization of disease-associated pten missense mutations identifies multiple molecular mechanisms underlying protein dysfunction
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7190743/
https://www.ncbi.nlm.nih.gov/pubmed/32350270
http://dx.doi.org/10.1038/s41467-020-15943-0
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