Daniela C. Granato*, Carolina M. Carnielli, Luciana D. Trino, Ariane F. Busso-Lopes, Guilherme A. Câmara, Ana Gabriela C. Normando, Helder V. R. Filho, Romênia R. Domingues, Sami Yokoo, Bianca A. Pauletti, Fabio M. Patroni, Alan R. Santos-Silva, Márcio A. Lopes, Thaís Bianca Brandão, Ana Carolina Prado-Ribeiro, Paulo. S. Lopes-de Oliveira, Guilherme P. Telles and Adriana F. Paes Leme*,
{"title":"Mapping Conformational Changes in the Saliva Proteome Potentially Associated with Oral Cancer Aggressiveness","authors":"Daniela C. Granato*, Carolina M. Carnielli, Luciana D. Trino, Ariane F. Busso-Lopes, Guilherme A. Câmara, Ana Gabriela C. Normando, Helder V. R. Filho, Romênia R. Domingues, Sami Yokoo, Bianca A. Pauletti, Fabio M. Patroni, Alan R. Santos-Silva, Márcio A. Lopes, Thaís Bianca Brandão, Ana Carolina Prado-Ribeiro, Paulo. S. Lopes-de Oliveira, Guilherme P. Telles and Adriana F. Paes Leme*, ","doi":"10.1021/acs.jproteome.4c00093","DOIUrl":null,"url":null,"abstract":"<p >Diverse proteomics-based strategies have been applied to saliva to quantitatively identify diagnostic and prognostic targets for oral cancer. Considering that these targets may be regulated by events that do not imply variation in protein abundance levels, we hypothesized that changes in protein conformation can be associated with diagnosis and prognosis, revealing biological processes and novel targets of clinical relevance. For this, we employed limited proteolysis–mass spectrometry in saliva samples to explore structural alterations, comparing the proteome of healthy control and oral squamous cell carcinoma (OSCC) patients with and without lymph node metastasis. Thirty-six proteins with potential structural rearrangements were associated with clinical patient features including transketolase and its interacting partners. Moreover, <i>N</i>-glycosylated peptides contribute to structural rearrangements of potential diagnostic and prognostic markers. Altogether, this approach utilizes saliva proteins to search for targets for diagnosing and prognosing oral cancer and can guide the discovery of potential regulated sites beyond protein-level abundance.</p>","PeriodicalId":48,"journal":{"name":"Journal of Proteome Research","volume":null,"pages":null},"PeriodicalIF":3.8000,"publicationDate":"2024-05-24","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.4c00093","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
Diverse proteomics-based strategies have been applied to saliva to quantitatively identify diagnostic and prognostic targets for oral cancer. Considering that these targets may be regulated by events that do not imply variation in protein abundance levels, we hypothesized that changes in protein conformation can be associated with diagnosis and prognosis, revealing biological processes and novel targets of clinical relevance. For this, we employed limited proteolysis–mass spectrometry in saliva samples to explore structural alterations, comparing the proteome of healthy control and oral squamous cell carcinoma (OSCC) patients with and without lymph node metastasis. Thirty-six proteins with potential structural rearrangements were associated with clinical patient features including transketolase and its interacting partners. Moreover, N-glycosylated peptides contribute to structural rearrangements of potential diagnostic and prognostic markers. Altogether, this approach utilizes saliva proteins to search for targets for diagnosing and prognosing oral cancer and can guide the discovery of potential regulated sites beyond protein-level abundance.
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".