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Identification of proteasome inhibitors using analysis of gene expression profiles. | LitMetric

Identification of proteasome inhibitors using analysis of gene expression profiles.

Eur J Pharmacol

Biomedical and Clinical Sciences, Linköping University, SE-58183, Linköping, Sweden; Department of Oncology-Pathology, Karolinska Institutet, SE-17176, Stockholm, Sweden. Electronic address:

Published: December 2020

AI Article Synopsis

Article Abstract

Inhibitors of the 20S proteasome such as bortezomib (Velcade) and carfilzomib (Kypriolis) are in clinical use for the treatment of patients with multiple myeloma and mantle cell lymphoma. In an attempt to identify novel inhibitors of the ubiquitin-proteasome system (UPS) we used the connectivity map (CMap) resource, based on alterations of gene expression profiles by perturbagens, and performed COMPARE analyses of drug sensitivity patterns in the NCI panel. Cmap analysis identified a large number of small molecules with strong connectivity to proteasome inhibition, including both well characterized inhibitors of the 20S proteasome and molecules previously not described to inhibit the UPS. A number of these compounds have been reported to be cytotoxic to tumor cells and were tested for their ability to decrease processing of proteasome substrates. The antibiotic thiostrepton and the natural products celastrol and curcumin induced strong accumulation of polyubiquitinated proteasome substrates in exposed cells. Other compounds elicited modest increases of proteasome substrates, including the protein phosphatase inhibitor BCI-Cl and the farnesyltransferase inhibitor manumycin A, suggesting that these compounds inhibit proteasome function. Induction of chaperone expression in the absence of proteasome inhibition was observed by a number of compounds, suggesting other effects on the UPS. We conclude that the combination of bioinformatic analyses and cellular assays resulted in the identification of compounds with potential to inhibit the UPS.

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Source
http://dx.doi.org/10.1016/j.ejphar.2020.173709DOI Listing

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