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Open AccessJournal ArticleDOI

A Quantitative Chaperone Interaction Network Reveals the Architecture of Cellular Protein Homeostasis Pathways

TLDR
It is established that NUDC family cochaperones specifically associate with structurally related but evolutionarily distinct β-propeller folds, providing 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.
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This article is published in Cell.The article was published on 2014-07-17 and is currently open access. It has received 328 citations till now. The article focuses on the topics: Co-chaperone & Proteostasis.

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High-Resolution CRISPR Screens Reveal Fitness Genes and Genotype-Specific Cancer Liabilities

TL;DR: It is demonstrated that context-dependent fitness genes accurately recapitulate pathway-specific genetic vulnerabilities induced by known oncogenes and reveal cell-type-specific dependencies for specific receptor tyrosine kinases, even in oncogenic KRAS backgrounds.
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A global genetic interaction network maps a wiring diagram of cellular function

TL;DR: A global genetic interaction network highlights the functional organization of a cell and provides a resource for predicting gene and pathway function and how coherent sets of negative or positive genetic interactions connect protein complex and pathways to map a functional wiring diagram of the cell.
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The HSP90 chaperone machinery

TL;DR: Owing to the importance of HSP90 in the regulation of many cellular proteins, it has become a promising drug target for the treatment of several diseases, which include cancer and diseases associated with protein misfolding.
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In vivo aspects of protein folding and quality control

TL;DR: A new view of protein folding is emerging, whereby the energy landscapes that proteins navigate during folding in vivo may differ substantially from those observed during refolding in vitro.
References
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Journal ArticleDOI

Cluster analysis and display of genome-wide expression patterns

TL;DR: A system of cluster analysis for genome-wide expression data from DNA microarray hybridization is described that uses standard statistical algorithms to arrange genes according to similarity in pattern of gene expression, finding in the budding yeast Saccharomyces cerevisiae that clustering gene expression data groups together efficiently genes of known similar function.
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Enzymatic assembly of DNA molecules up to several hundred kilobases

TL;DR: An isothermal, single-reaction method for assembling multiple overlapping DNA molecules by the concerted action of a 5′ exonuclease, a DNA polymerase and a DNA ligase is described.
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Empirical statistical model to estimate the accuracy of peptide identifications made by MS/MS and database search.

TL;DR: A statistical model is presented to estimate the accuracy of peptide assignments to tandem mass (MS/MS) spectra made by database search applications such as SEQUEST, demonstrating that the computed probabilities are accurate and have high power to discriminate between correctly and incorrectly assigned peptides.
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A statistical model for identifying proteins by tandem mass spectrometry.

TL;DR: A statistical model is presented for computing probabilities that proteins are present in a sample on the basis of peptides assigned to tandem mass (MS/MS) spectra acquired from a proteolytic digest of the sample, and it is shown to produce probabilities that are accurate and have high power to discriminate correct from incorrect protein identifications.
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