Studying Spatial Protein Quality Control, Proteopathies, and Aging Using Different Model Misfolding Proteins in S. cerevisiae
Protein quality control (PQC) is critical to maintain a functioning proteome. Misfolded or toxic proteins are either refolded or degraded by a system of temporal quality control and can also be sequestered into aggregates or inclusions by a system of spatial quality control. Breakdown of this concer...
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Published in | Frontiers in molecular neuroscience Vol. 11; p. 249 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Switzerland
Frontiers Research Foundation
23.07.2018
Frontiers Media S.A |
Subjects | |
Online Access | Get full text |
ISSN | 1662-5099 1662-5099 |
DOI | 10.3389/fnmol.2018.00249 |
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Summary: | Protein quality control (PQC) is critical to maintain a functioning proteome. Misfolded or toxic proteins are either refolded or degraded by a system of temporal quality control and can also be sequestered into aggregates or inclusions by a system of spatial quality control. Breakdown of this concerted PQC network with age leads to an increased risk for the onset of disease, particularly neurological disease.
has been used extensively to elucidate PQC pathways and general evolutionary conservation of the PQC machinery has led to the development of several useful
models of human neurological diseases. Key to both of these types of studies has been the development of several different model misfolding proteins, which are used to challenge and monitor the PQC machinery. In this review, we summarize and compare the model misfolding proteins that have been used to specifically study spatial PQC in
, as well as the misfolding proteins that have been shown to be subject to spatial quality control in
models of human neurological diseases. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 ObjectType-Review-3 content type line 23 Reviewed by: Jens Tyedmers, Universitätsklinikum Heidelberg, Germany; Martin Lothar Duennwald, University of Western Ontario, Canada Edited by: Ralf J. Braun, University of Bayreuth, Germany |
ISSN: | 1662-5099 1662-5099 |
DOI: | 10.3389/fnmol.2018.00249 |