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A systematic atlas of chaperome deregulation topologies across the human cancer landscape.
- Source :
-
PLoS computational biology [PLoS Comput Biol] 2018 Jan 02; Vol. 14 (1), pp. e1005890. Date of Electronic Publication: 2018 Jan 02 (Print Publication: 2018). - Publication Year :
- 2018
-
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.
- Subjects :
- Adenosine Triphosphate metabolism
Computational Biology
Gene Expression Profiling
Humans
Metabolic Networks and Pathways
Models, Biological
Molecular Chaperones genetics
Neoplasms genetics
Neurodegenerative Diseases genetics
Neurodegenerative Diseases metabolism
Protein Interaction Maps
Proteome genetics
Proteome metabolism
Proteostasis Deficiencies genetics
Proteostasis Deficiencies metabolism
Software
Molecular Chaperones metabolism
Neoplasms metabolism
Proteostasis
Subjects
Details
- Language :
- English
- ISSN :
- 1553-7358
- Volume :
- 14
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- PLoS computational biology
- Publication Type :
- Academic Journal
- Accession number :
- 29293508
- Full Text :
- https://doi.org/10.1371/journal.pcbi.1005890