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Malignant pleural mesothelioma interactome with 364 novel protein�protein interactions

Karunakaran, KB and Yanamala, N and Boyce, G and Becich, MJ and Ganapathiraju, MK (2021) Malignant pleural mesothelioma interactome with 364 novel protein�protein interactions. In: Cancers, 13 (7).

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Official URL: https://doi.org/10.3390/cancers13071660


Malignant pleural mesothelioma (MPM) is an aggressive cancer affecting the outer lining of the lung, with a median survival of less than one year. We constructed an �MPM interactome� with over 300 computationally predicted protein�protein interactions (PPIs) and over 2400 known PPIs of 62 literature�curated genes whose activity affects MPM. Known PPIs of the 62 MPM associated genes were derived from Biological General Repository for Interaction Datasets (BioGRID) and Human Protein Reference Database (HPRD). Novel PPIs were predicted by applying the HiPPIP algorithm, which computes features of protein pairs such as cellular localization, molecular func-tion, biological process membership, genomic location of the gene, and gene expression in microar-ray experiments, and classifies the pairwise features as interacting or non�interacting based on a random forest model. We validated five novel predicted PPIs experimentally. The interactome is significantly enriched with genes differentially ex�pressed in MPM tumors compared with normal pleura and with other thoracic tumors, genes whose high expression has been correlated with un-favorable prognosis in lung cancer, genes differentially expressed on crocidolite exposure, and ex-osome�derived proteins identified from malignant mesothelioma cell lines. 28 of the interactors of MPM proteins are targets of 147 U.S. Food and Drug Administration (FDA)�approved drugs. By comparing disease�associated versus drug�induced differential expression profiles, we identified five potentially repurposable drugs, namely cabazitaxel, primaquine, pyrimethamine, trime-thoprim and gliclazide. Preclinical studies may be con�ducted in vitro to validate these computa-tional results. Interactome analysis of disease�associated genes is a powerful approach with high translational impact. It shows how MPM�associated genes identified by various high throughput studies are functionally linked, leading to clinically translatable results such as repurposed drugs. The PPIs are made available on a webserver with interactive user interface, visualization and advanced search capabilities. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

Item Type: Journal Article
Publication: Cancers
Publisher: MDPI AG
Additional Information: The copyright for this article belongs to Authors
Department/Centre: Division of Interdisciplinary Sciences > Supercomputer Education & Research Centre
Date Deposited: 16 Jul 2021 11:31
Last Modified: 16 Jul 2021 11:31
URI: http://eprints.iisc.ac.in/id/eprint/68717

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