Evidence map›Paper›PMID 32866476›Full record

ArticleProgress in biophysics and molecular biology2021

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

Yan Zhang, James Krieger, Karolina Mikulska-Ruminska, Burak Kaynak, Carlos Oscar S Sorzano, José-María Carazo, Jianhua Xing, Ivet Bahar

Open access · hybridAbstract read
In one paragraph

Article in Progress in biophysics and molecular biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.1field-weighted citation impact, top 23% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Chaperonin in health and disease.Molecular biomedicine · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Protein dynamics developments for the large scale and cryoEM: case study of ProDy 2.0.Acta crystallographica. Section D, Structural biology · 2022
    Review
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 2 countries.

Yan ZhangDepartment of Computational and Systems Biology, University of Pittsburgh, 800 Murdoch Building, 3420 Forbes Avenue, Pittsburgh, PA, 15261, USA.
James KriegerDepartment of Computational and Systems Biology, University of Pittsburgh, 800 Murdoch Building, 3420 Forbes Avenue, Pittsburgh, PA, 15261, USA.
Karolina Mikulska-RuminskaDepartment of Computational and Systems Biology, University of Pittsburgh, 800 Murdoch Building, 3420 Forbes Avenue, Pittsburgh, PA, 15261, USA.
Burak KaynakDepartment of Computational and Systems Biology, University of Pittsburgh, 800 Murdoch Building, 3420 Forbes Avenue, Pittsburgh, PA, 15261, USA.
Carlos Oscar S SorzanoCentro Nacional de Biotecnología (CSIC), Darwin, 3, 28049, Madrid, Spain.
José-María CarazoCentro Nacional de Biotecnología (CSIC), Darwin, 3, 28049, Madrid, Spain.
Jianhua XingDepartment of Computational and Systems Biology, University of Pittsburgh, 800 Murdoch Building, 3420 Forbes Avenue, Pittsburgh, PA, 15261, USA.
Ivet BaharDepartment of Computational and Systems Biology, University of Pittsburgh, 800 Murdoch Building, 3420 Forbes Avenue, Pittsburgh, PA, 15261, USA. Electronic address: bahar@pitt.edu.
University of Pittsburgh · USCentro Nacional de Biotecnología · ES

Funding

TrainingP41GM103712 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI COMPEAU, PHILLIP EDWARD CHARLES · 2012 to 2021
$16.3M
NIDA Center of Excellence OF Computational Drug Abuse Research (CDAR)P30DA035778 · NIDA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BAHAR, IVET, XIE, XIANG-QUN · 2014 to 2018
$5.4M
Role of the Snail1-Twist-p21 axis on cell cycle arrest and renal fibrosis developmentR01DK119232 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI XING, JIANHUA · 2019 to 2022
$1.4M
NIDA NIH HHS P30 DA035778NIDDK NIH HHS R01 DK119232NIGMS NIH HHS P41 GM103712
6 · The paper itself

Abstract

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.

Indexed as

Allosteric RegulationChaperonin Containing TCP-1Cryoelectron MicroscopyEukaryotic CellsModels, MolecularProtein ConformationProtein SubunitsStructure-Activity RelationshipChaperonin Containing TCP-1Protein SubunitsATP-mediated allosteric signallingCollective dynamicsCryo-EM electron density mapElastic network modelEukaryotic chaperonin TRiC/CCTSupramolecular machinesTopology representing network

Identifiers

PMID32866476
PMCPMC7914283
OpenAlexW3082286997

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.