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State-dependent sequential allostery exhibited by chaperonin TRiC/CCT revealed by network analysis of Cryo-EM maps

The eukaryotic chaperonin TRiC/CCT plays a major role in assisting the folding of many proteins through an ATP-driven allosteric cycle. Recent structures elucidated by cryo-electron microscopy provide a broad view of the conformations visited at various stages of the chaperonin cycle, including a se...

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Autores principales: Zhang, Yan, Krieger, James, Mikulska-Ruminska, Karolina, Kaynak, Burak, Sorzano, Carlos Oscar S., Carazo, José-María, Xing, Jianhua, Bahar, Ivet
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7914283/
https://www.ncbi.nlm.nih.gov/pubmed/32866476
http://dx.doi.org/10.1016/j.pbiomolbio.2020.08.006
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author Zhang, Yan
Krieger, James
Mikulska-Ruminska, Karolina
Kaynak, Burak
Sorzano, Carlos Oscar S.
Carazo, José-María
Xing, Jianhua
Bahar, Ivet
author_facet Zhang, Yan
Krieger, James
Mikulska-Ruminska, Karolina
Kaynak, Burak
Sorzano, Carlos Oscar S.
Carazo, José-María
Xing, Jianhua
Bahar, Ivet
author_sort Zhang, Yan
collection PubMed
description The eukaryotic chaperonin TRiC/CCT plays a major role in assisting the folding of many proteins through an ATP-driven allosteric cycle. Recent structures elucidated by cryo-electron microscopy provide a broad view of the conformations visited at various stages of the chaperonin cycle, including a sequential activation of its subunits in response to nucleotide binding. But we lack a thorough mechanistic understanding of the structure-based dynamics and communication properties that underlie the TRiC/CCT machinery. In this study, we present a computational methodology based on elastic network models adapted to cryo-EM density maps to gain a deeper understanding of the structure-encoded allosteric dynamics of this hexadecameric machine. We have analysed several structures of the chaperonin resolved in different states toward mapping its conformational landscape. Our study indicates that the overall architecture intrinsically favours cooperative movements that comply with the structural variabilities observed in experiments. Furthermore, the individual subunits CCT1-CCT8 exhibit state-dependent sequential events at different states of the allosteric cycle. For example, in the ATP-bound state, subunits CCT5 and CCT4 selectively initiate the lid closure motions favoured by the overall architecture; whereas in the apo form of the heteromer, the subunit CCT7 exhibits the highest predisposition to structural change. The changes then propagate through parallel fluxes of allosteric signals to neighbours on both rings. The predicted state-dependent mechanisms of sequential activation provide new insights into TRiC/CCT intra- and inter-ring signal transduction events.
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spelling pubmed-79142832022-03-01 State-dependent sequential allostery exhibited by chaperonin TRiC/CCT revealed by network analysis of Cryo-EM maps Zhang, Yan Krieger, James Mikulska-Ruminska, Karolina Kaynak, Burak Sorzano, Carlos Oscar S. Carazo, José-María Xing, Jianhua Bahar, Ivet Prog Biophys Mol Biol Article The eukaryotic chaperonin TRiC/CCT plays a major role in assisting the folding of many proteins through an ATP-driven allosteric cycle. Recent structures elucidated by cryo-electron microscopy provide a broad view of the conformations visited at various stages of the chaperonin cycle, including a sequential activation of its subunits in response to nucleotide binding. But we lack a thorough mechanistic understanding of the structure-based dynamics and communication properties that underlie the TRiC/CCT machinery. In this study, we present a computational methodology based on elastic network models adapted to cryo-EM density maps to gain a deeper understanding of the structure-encoded allosteric dynamics of this hexadecameric machine. We have analysed several structures of the chaperonin resolved in different states toward mapping its conformational landscape. Our study indicates that the overall architecture intrinsically favours cooperative movements that comply with the structural variabilities observed in experiments. Furthermore, the individual subunits CCT1-CCT8 exhibit state-dependent sequential events at different states of the allosteric cycle. For example, in the ATP-bound state, subunits CCT5 and CCT4 selectively initiate the lid closure motions favoured by the overall architecture; whereas in the apo form of the heteromer, the subunit CCT7 exhibits the highest predisposition to structural change. The changes then propagate through parallel fluxes of allosteric signals to neighbours on both rings. The predicted state-dependent mechanisms of sequential activation provide new insights into TRiC/CCT intra- and inter-ring signal transduction events. 2020-08-28 2021-03 /pmc/articles/PMC7914283/ /pubmed/32866476 http://dx.doi.org/10.1016/j.pbiomolbio.2020.08.006 Text en This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Zhang, Yan
Krieger, James
Mikulska-Ruminska, Karolina
Kaynak, Burak
Sorzano, Carlos Oscar S.
Carazo, José-María
Xing, Jianhua
Bahar, Ivet
State-dependent sequential allostery exhibited by chaperonin TRiC/CCT revealed by network analysis of Cryo-EM maps
title State-dependent sequential allostery exhibited by chaperonin TRiC/CCT revealed by network analysis of Cryo-EM maps
title_full State-dependent sequential allostery exhibited by chaperonin TRiC/CCT revealed by network analysis of Cryo-EM maps
title_fullStr State-dependent sequential allostery exhibited by chaperonin TRiC/CCT revealed by network analysis of Cryo-EM maps
title_full_unstemmed State-dependent sequential allostery exhibited by chaperonin TRiC/CCT revealed by network analysis of Cryo-EM maps
title_short State-dependent sequential allostery exhibited by chaperonin TRiC/CCT revealed by network analysis of Cryo-EM maps
title_sort state-dependent sequential allostery exhibited by chaperonin tric/cct revealed by network analysis of cryo-em maps
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7914283/
https://www.ncbi.nlm.nih.gov/pubmed/32866476
http://dx.doi.org/10.1016/j.pbiomolbio.2020.08.006
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