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A biosensor-based framework to measure latent proteostasis capacity
The pool of quality control proteins (QC) that maintains protein-folding homeostasis (proteostasis) is dynamic but can become depleted in human disease. A challenge has been in quantitatively defining the depth of the QC pool. With a new biosensor, flow cytometry-based methods and mathematical model...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5773518/ https://www.ncbi.nlm.nih.gov/pubmed/29348634 http://dx.doi.org/10.1038/s41467-017-02562-5 |
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author | Wood, Rebecca J. Ormsby, Angelique R. Radwan, Mona Cox, Dezerae Sharma, Abhishek Vöpel, Tobias Ebbinghaus, Simon Oliveberg, Mikael Reid, Gavin E. Dickson, Alex Hatters, Danny M. |
author_facet | Wood, Rebecca J. Ormsby, Angelique R. Radwan, Mona Cox, Dezerae Sharma, Abhishek Vöpel, Tobias Ebbinghaus, Simon Oliveberg, Mikael Reid, Gavin E. Dickson, Alex Hatters, Danny M. |
author_sort | Wood, Rebecca J. |
collection | PubMed |
description | The pool of quality control proteins (QC) that maintains protein-folding homeostasis (proteostasis) is dynamic but can become depleted in human disease. A challenge has been in quantitatively defining the depth of the QC pool. With a new biosensor, flow cytometry-based methods and mathematical modeling we measure the QC capacity to act as holdases and suppress biosensor aggregation. The biosensor system comprises a series of barnase kernels with differing folding stability that engage primarily with HSP70 and HSP90 family proteins. Conditions of proteostasis stimulation and stress alter QC holdase activity and aggregation rates. The method reveals the HSP70 chaperone cycle to be rate limited by HSP70 holdase activity under normal conditions, but this is overcome by increasing levels of the BAG1 nucleotide exchange factor to HSPA1A or activation of the heat shock gene cluster by HSF1 overexpression. This scheme opens new paths for biosensors of disease and proteostasis systems. |
format | Online Article Text |
id | pubmed-5773518 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-57735182018-01-23 A biosensor-based framework to measure latent proteostasis capacity Wood, Rebecca J. Ormsby, Angelique R. Radwan, Mona Cox, Dezerae Sharma, Abhishek Vöpel, Tobias Ebbinghaus, Simon Oliveberg, Mikael Reid, Gavin E. Dickson, Alex Hatters, Danny M. Nat Commun Article The pool of quality control proteins (QC) that maintains protein-folding homeostasis (proteostasis) is dynamic but can become depleted in human disease. A challenge has been in quantitatively defining the depth of the QC pool. With a new biosensor, flow cytometry-based methods and mathematical modeling we measure the QC capacity to act as holdases and suppress biosensor aggregation. The biosensor system comprises a series of barnase kernels with differing folding stability that engage primarily with HSP70 and HSP90 family proteins. Conditions of proteostasis stimulation and stress alter QC holdase activity and aggregation rates. The method reveals the HSP70 chaperone cycle to be rate limited by HSP70 holdase activity under normal conditions, but this is overcome by increasing levels of the BAG1 nucleotide exchange factor to HSPA1A or activation of the heat shock gene cluster by HSF1 overexpression. This scheme opens new paths for biosensors of disease and proteostasis systems. Nature Publishing Group UK 2018-01-18 /pmc/articles/PMC5773518/ /pubmed/29348634 http://dx.doi.org/10.1038/s41467-017-02562-5 Text en © The Author(s) 2018 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 Wood, Rebecca J. Ormsby, Angelique R. Radwan, Mona Cox, Dezerae Sharma, Abhishek Vöpel, Tobias Ebbinghaus, Simon Oliveberg, Mikael Reid, Gavin E. Dickson, Alex Hatters, Danny M. A biosensor-based framework to measure latent proteostasis capacity |
title | A biosensor-based framework to measure latent proteostasis capacity |
title_full | A biosensor-based framework to measure latent proteostasis capacity |
title_fullStr | A biosensor-based framework to measure latent proteostasis capacity |
title_full_unstemmed | A biosensor-based framework to measure latent proteostasis capacity |
title_short | A biosensor-based framework to measure latent proteostasis capacity |
title_sort | biosensor-based framework to measure latent proteostasis capacity |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5773518/ https://www.ncbi.nlm.nih.gov/pubmed/29348634 http://dx.doi.org/10.1038/s41467-017-02562-5 |
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