bioRxivCancer Biology
Systematic discovery of mutation-directed neo-protein-protein interactions in cancer
X. Mo, Q. Niu, A. A. Ivanov, Y. H. Tsang, C. Tang, C. Shu, A. Wahafu, S. Doyle, D. Cicka, X. Yang, D. Fan, M. A. Reyna, L. A. D. Cooper, C. S. Moreno, W. Zhou, T. Owonikoko, S. Lonial, F. R. Khuri, Y. Du, S. S. Ramalingam, G. B. Mill, H. Fu
Abstract
Comprehensive sequencing of patient tumors reveals numerous genomic mutations across tumor types that enable tumorigenesis and progression. A subset of oncogenic driver mutations results in neomorphic activity where the mutant protein mediates functions not engaged by the parental molecule. Here, we identify prevalent variant-enabled neomorph-protein-protein interactions (neoPPI) with a quantitative High Throughput differential Screening (qHT-dS) platform. Coupling of highly sensitive BRET biosensors with miniaturized co-expression in an ultra-HTS format allows large-scale monitoring of interactions of wild-type and mutant variant counterparts with a library of cancer-associated proteins in live cells. Screening of 13,392 interactions with 1,474,560 data points revealed a landscape of gain-of-interactions encompassing both oncogenic and tumor suppressor mutations. For example, the recurrent BRAF V600E lesion mediates KEAP1 neoPPI, rewiring a BRAFV600E-KEAP1 signaling axis and creating collateral vulnerability to NQO1 substrates, offering a combination therapeutic strategy. Thus, cancer genomic alterations can create neo-interactions, informing variant-directed therapeutic approaches for precision medicine.
- organism: human
- assay: proteomics
- research focus: drug response / drug discovery
- approach: deep learning
- approach: statistical model
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