{"title":"Amino Acid Substitutomics: Profiling Amino Acid Substitutions at the Proteomic Scale Unveils Biological Implications and Escape Hypotheses in Cancer","authors":"Peize Zhao, Shengzhi Lai, Shuaijian Dai, Chen Zhou, Ning Li, Weichuan Yu","doi":"10.1021/acs.jproteome.6c00455","DOIUrl":null,"url":null,"abstract":"<p>Amino acid (AA) substitutions\r\nare pivotal modulators of cellular\r\nsignaling and homeostasis. Current studies of AA substitutions rely\r\nmainly on genomic and transcriptomic evidence, while proteome-level\r\ncharacterization remains underexplored, even though such substitutions\r\ncan arise beyond DNA and RNA mutations. Here we address this gap with\r\nPIPI-C, an open-search mass spectrometry tool, and establish an integrated\r\nAA substitutomics pipeline to profile AA substitutions across five\r\ncancer cohorts and dissect the regulatory roles of substitution-bearing\r\nproteins. By cross-referencing 13,399 identified AA substitutions\r\nwith matched whole-exome sequencing data, we observed no overlap with\r\npatient somatic mutations. Specifically, 61% of these substitutions\r\nrequired two or more base alterations and could not be derived from\r\nsingle-nucleotide variants, rendering them exclusively detectable\r\nat the proteomic level. The remaining 39% of substitutions were compatible\r\nwith single-base variations. PIPI-C captured these candidate substitutions\r\nat the proteome scale, consistent with a translational-stage origin\r\nas reported for alternate RNA decoding in mammals. We further identified\r\nnotable substitutions, including F43S and E91D in hemoglobin subunit\r\nbeta, P584T in filamin A, and A175N in fructose-bisphosphate aldolase\r\nB, and our pipeline provides a framework for generating hypotheses\r\nabout AA substitutions in cancer escape.</p>","PeriodicalId":48,"journal":{"name":"Journal of Proteome Research","volume":"25 10","pages":"5452–5468"},"PeriodicalIF":3.8000,"publicationDate":"2026-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Proteome Research","FirstCategoryId":"99","ListUrlMain":"https://pubs.acs.org/doi/10.1021/acs.jproteome.6c00455","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/8/27 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
Amino acid (AA) substitutions
are pivotal modulators of cellular
signaling and homeostasis. Current studies of AA substitutions rely
mainly on genomic and transcriptomic evidence, while proteome-level
characterization remains underexplored, even though such substitutions
can arise beyond DNA and RNA mutations. Here we address this gap with
PIPI-C, an open-search mass spectrometry tool, and establish an integrated
AA substitutomics pipeline to profile AA substitutions across five
cancer cohorts and dissect the regulatory roles of substitution-bearing
proteins. By cross-referencing 13,399 identified AA substitutions
with matched whole-exome sequencing data, we observed no overlap with
patient somatic mutations. Specifically, 61% of these substitutions
required two or more base alterations and could not be derived from
single-nucleotide variants, rendering them exclusively detectable
at the proteomic level. The remaining 39% of substitutions were compatible
with single-base variations. PIPI-C captured these candidate substitutions
at the proteome scale, consistent with a translational-stage origin
as reported for alternate RNA decoding in mammals. We further identified
notable substitutions, including F43S and E91D in hemoglobin subunit
beta, P584T in filamin A, and A175N in fructose-bisphosphate aldolase
B, and our pipeline provides a framework for generating hypotheses
about AA substitutions in cancer escape.
期刊介绍:
Journal of Proteome Research publishes content encompassing all aspects of global protein analysis and function, including the dynamic aspects of genomics, spatio-temporal proteomics, metabonomics and metabolomics, clinical and agricultural proteomics, as well as advances in methodology including bioinformatics. The theme and emphasis is on a multidisciplinary approach to the life sciences through the synergy between the different types of "omics".