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The gain-of-function mutant p53 (mtp53) transcriptome has been studied, but, to date, no detailed analysis of the mtp53-associated proteome has been described. We coupled cell fractionation with stable isotope labeling with amino acids in cell culture (SILAC) and inducible knockdown of endogenous mtp53 to determine the mtp53-driven proteome. Our fractionation data highlight the underappreciated biology that missense mtp53 proteins R273H, R280K, and L194F are tightly associated with chromatin. Using SILAC coupled to tandem MS, we identified that R273H mtp53 expression in MDA-MB-468 breast cancer cells up- and down-regulated multiple proteins and metabolic pathways. Here we provide the data set obtained from sequencing 73,154 peptide pairs that then corresponded to 3,010 proteins detected under reciprocal labeling conditions. Importantly, the high impact regulated targets included the previously identified transcriptionally regulated mevalonate pathway proteins but also identified two new levels of mtp53 protein regulation for nontranscriptional targets. Interestingly, mtp53 depletion profoundly influenced poly(ADP ribose) polymerase 1 (PARP1) localization, with increased cytoplasmic and decreased chromatin-associated protein. An enzymatic PARP shift occurred with high mtp53 expression, resulting in increased poly-ADP-ribosylated proteins in the nucleus. Mtp53 increased the level of proliferating cell nuclear antigen (PCNA) and minichromosome maintenance 4 (MCM4) proteins without changing the amount of pcna and mcm4 transcripts. Pathway enrichment analysis ranked the DNA replication pathway above the cholesterol biosynthesis pathway as a R273H mtp53 activated proteomic target. Knowledge of the proteome diversity driven by mtp53 suggests that DNA replication and repair pathways are major targets of mtp53 and highlights consideration of combination chemotherapeutic strategies targeting cholesterol biosynthesis and PARP inhibition.

Proteome-wide analysis of mutant p53 targets in breast cancer identifies new levels of gain-of-function that influence PARP, PCNA, and MCM4