Related Experiment Video
Updated: Feb 16, 2026

Production of Tissue Microarrays, Immunohistochemistry Staining and Digitalization Within the Human Protein Atlas
Published on: May 31, 2012
A systematic atlas of chaperome deregulation topologies across the human cancer landscape
Ali Hadizadeh Esfahani1,2, Angelina Sverchkova3, Julio Saez-Rodriguez3,4
1Joint Research Center for Computational Biomedicine (JRC-COMBINE), RWTH Aachen University, Aachen, Germany.
Abstract:
Proteome balance is safeguarded by the proteostasis network (PN), an intricately regulated network of conserved processes that evolved to maintain native function of the diverse ensemble of protein species, ensuring cellular and organismal health. Proteostasis imbalances and collapse are implicated in a spectrum of human diseases, from neurodegeneration to cancer. The characteristics of PN disease alterations however have not been assessed in a systematic way. Since the chaperome is among the central components of the PN, we focused on the chaperome in our study by utilizing a curated functional ontology of the human chaperome that we connect in a high-confidence physical protein-protein interaction network. Challenged by the lack of a systems-level understanding of proteostasis alterations in the heterogeneous spectrum of human cancers, we assessed gene expression across more than 10,000 patient biopsies covering 22 solid cancers. We derived a novel customized Meta-PCA dimension reduction approach yielding M-scores as quantitative indicators of disease expression changes to condense the complexity of cancer transcriptomics datasets into quantitative functional network topographies. We confirm upregulation of the HSP90 family and also highlight HSP60s, Prefoldins, HSP100s, ER- and mitochondria-specific chaperones as pan-cancer enriched. Our analysis also reveals a surprisingly consistent strong downregulation of small heat shock proteins (sHSPs) and we stratify two cancer groups based on the preferential upregulation of ATP-dependent chaperones. Strikingly, our analyses highlight similarities between stem cell and cancer proteostasis, and diametrically opposed chaperome deregulation between cancers and neurodegenerative diseases. We developed a web-based Proteostasis Profiler tool (Pro2) enabling intuitive analysis and visual exploration of proteostasis disease alterations using gene expression data. Our study showcases a comprehensive profiling of chaperome shifts in human cancers and sets the stage for a systematic global analysis of PN alterations across the human diseasome towards novel hypotheses for therapeutic network re-adjustment in proteostasis disorders.
Insights
This study reveals widespread changes in the chaperome, a key part of the proteostasis network, across 22 solid cancers. It highlights specific chaperone families that are upregulated or downregulated, offering new insights into cancer biology and potential therapeutic targets.
Area of Science:
- Molecular Biology
- Systems Biology
- Oncology
Background:
- The proteostasis network (PN) maintains cellular health by regulating protein homeostasis.
- Imbalances in proteostasis are linked to various diseases, including cancer and neurodegeneration.
- A systematic assessment of PN alterations in cancer is lacking.
Purpose of the Study:
- To systematically analyze chaperome alterations in human cancers.
- To identify specific chaperones and pathways dysregulated in cancer.
- To develop tools for exploring proteostasis changes in disease.
Main Methods:
- Utilized a curated human chaperome functional ontology and protein-protein interaction network.
- Analyzed gene expression data from over 10,000 patient biopsies across 22 solid cancers.
- Developed a novel Meta-PCA (M-scores) approach for analyzing transcriptomic data.
- Created a web-based Proteostasis Profiler tool (Pro2).
Main Results:
- Confirmed pan-cancer enrichment of HSP90 family, HSP60s, Prefoldins, HSP100s, and ER/mitochondria-specific chaperones.
- Observed consistent downregulation of small heat shock proteins (sHSPs).
- Stratified cancers into two groups based on ATP-dependent chaperone upregulation.
- Highlighted similarities between stem cell and cancer proteostasis.
- Revealed opposing chaperome deregulation in cancer versus neurodegenerative diseases.
Conclusions:
- Provides a comprehensive profile of chaperome shifts in human cancers.
- Identifies potential therapeutic targets within the chaperome network.
- Establishes a foundation for analyzing PN alterations across diverse human diseases.
- The Proteostasis Profiler tool facilitates disease-specific proteostasis analysis.
Related Concept Videos
Random and Systematic Errors
Systematic Sampling Method
Systematic sampling is one of the simplest methods...
Propagation of Uncertainty from Systematic Error
Systematic Error: Methodological and Sampling Errors
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
Chemical Equilibria: Systematic Approach to Equilibrium Calculations
The first step is to identify all the chemical reactions involved, The...
Cancer

