Evidence map›Paper›PMID 25036637›Full record

ArticleCell2014

A quantitative chaperone interaction network reveals the architecture of cellular protein homeostasis pathways.

Mikko Taipale, George Tucker, Jian Peng, Irina Krykbaeva, Zhen-Yuan Lin, Brett Larsen, Hyungwon Choi, Bonnie Berger, Anne-Claude Gingras, Susan Lindquist

Abstract read
In one paragraph

Article in Cell, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 248 papers.

0numbers the graph read from it
0cells of the map it votes in
248citing papers in PubMed
–field-weighted citation impact
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

248 citing papers in PubMed.

  1. Trial
  2. Trial
  3. More than the 'master regulator of cytosolic proteostasis': new roles for HSF1 in promoting tissue health.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2026
    Review
  4. Article
  5. Article
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  8. Article
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  11. Mechanisms and regulation of the Hsp70 chaperone network.Nature reviews. Molecular cell biology · 2026
    Review
  12. Article
  13. Article
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  15. Article
  16. Review
  17. Article
  18. Article
  19. Protein folding by the CCT/TRiC chaperone complex.Current opinion in structural biology · 2025
    Review
  20. Review

188 more citing papers are in PubMed but not listed here.

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

10 authors.

Mikko TaipaleWhitehead Institute for Biomedical Research, Cambridge, MA 02114, USA.
George TuckerComputer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Department of Mathematics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Jian PengComputer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Department of Mathematics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Irina KrykbaevaWhitehead Institute for Biomedical Research, Cambridge, MA 02114, USA.
Zhen-Yuan LinCentre for Systems Biology, Lunenfeld-Tanenbaum Research Institute at Mount Sinai Hospital, Department of Molecular Genetics, University of Toronto, Toronto, ON M5G 1X5, Canada.
Brett LarsenCentre for Systems Biology, Lunenfeld-Tanenbaum Research Institute at Mount Sinai Hospital, Department of Molecular Genetics, University of Toronto, Toronto, ON M5G 1X5, Canada.
Hyungwon ChoiNational University of Singapore and National University Health System, Singapore 117597, Singapore.
Bonnie BergerComputer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Department of Mathematics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Anne-Claude GingrasCentre for Systems Biology, Lunenfeld-Tanenbaum Research Institute at Mount Sinai Hospital, Department of Molecular Genetics, University of Toronto, Toronto, ON M5G 1X5, Canada; Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada. Electronic address: gingras@lunenfeld.ca.
Susan LindquistWhitehead Institute for Biomedical Research, Cambridge, MA 02114, USA; Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Howard Hughes Medical Institute, Cambridge, MA 02139, USA. Electronic address: lindquist_admin@wi.mit.edu.

Funding

VIRUS PRODUCTION COREP30CA014051 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI MATTHEW G. VANDER HEIDEN · 1985 to 2026
$93.9M
COMPUTATIONAL TOOLS FOR MASS SPECTROMETRY-BASED INTERACTOME DATAR01GM094231 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Alexey I Nesvizhskii · 2010 to 2026
$5.4M
Structure-Based Prediction of the InteractomeR01GM081871 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BERGER, BONNIE · 2008 to 2020
$4.3M
CIHR MOP-84314NCI NIH HHS P30 CA014051NIGMS NIH HHS 5R01GM94231NIGMS NIH HHS GM081871NIGMS NIH HHS R01 GM081871NIGMS NIH HHS R01 GM094231
6 · The paper itself

Abstract

Chaperones are abundant cellular proteins that promote the folding and function of their substrate proteins (clients). In vivo, chaperones also associate with a large and diverse set of cofactors (cochaperones) that regulate their specificity and function. However, how these cochaperones regulate protein folding and whether they have chaperone-independent biological functions is largely unknown. We combined mass spectrometry and quantitative high-throughput LUMIER assays to systematically characterize the chaperone-cochaperone-client interaction network in human cells. We uncover hundreds of chaperone clients, delineate their participation in specific cochaperone complexes, and establish a surprisingly distinct network of protein-protein interactions for cochaperones. As a salient example of the power of such analysis, we establish that NUDC family cochaperones specifically associate with structurally related but evolutionarily distinct β-propeller folds. We provide a framework for deciphering the proteostasis network and its regulation in development and disease and expand the use of chaperones as sensors for drug-target engagement.

Indexed as

Protein Interaction MapsHSP70 Heat-Shock ProteinsHSP90 Heat-Shock ProteinsHumansProtein FoldingTacrolimus Binding ProteinsFKBP6 protein, humanHSP70 Heat-Shock ProteinsHSP90 Heat-Shock ProteinsTacrolimus Binding Proteins

Identifiers

PMID25036637
PMCPMC4104544

What OpenQuestion holds

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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.