PLoS Computational BiologyBioinformaticsPeer-reviewed journal article
Proteostasis Signatures in Human Diseases
Abstract
The protein homeostasis (proteostasis) system maintains the proteome in a healthy state. Although this system has been comprehensively mapped, its perturbations in disease remain incompletely characterised. To address this problem, here we define the proteostasis signatures, which represent the characteristic patterns of change in the proteostasis system associated with disease. We performed a large-scale, pandisease analysis across 32 human diseases spanning 7 disease types. We first identified unique proteostasis perturbations in specific disease states. We then uncovered distinctive signatures differentiating disease types, pointing to a range of proteostasis mechanisms in disease development. Next, we tracked the temporal evolution of proteostasis signatures, revealing shifts in proteostasis disruption over the course of disease progression. Finally, we demonstrated how smoking, a major risk factor of many diseases, impairs proteostasis in a manner similar to disease, potentially creating a predisposed environment for disease onset. These results illustrate the opportunities offered by the study of human diseases from the perspective of proteostasis signatures.
- Citations
- 10
- FWCI
- 2.99
- Field percentile
- top 8%
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