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A biosensor-based framework to measure latent proteostasis capacity

Authors :
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.
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.
Publication Year :
2018

Abstract

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 cytometrybased 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.

Details

Database :
OAIster
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1234874585
Document Type :
Electronic Resource
Full Text :
https://doi.org/10.1038.s41467-017-02562-5