{"title":"Top-down mass spectrometry for characterizing the low molecular weight proteome of canine osteosarcoma cell phenotypes.","authors":"Liping Yang, Stanislau Stanisheuski, Zifeng Song, Shay Bracha, Claudia S Maier","doi":"10.1177/14690667231202766","DOIUrl":null,"url":null,"abstract":"<p><p>Osteosarcoma (OS) is the most common primary malignant tumor of bone, which occupying about 20% of all bone cancers. To increase understanding of the biology of OS, we developed and evaluated a top-down mass spectrometry approach to detect, identify and quantify low molecular weight (MW) proteins (i.e., 1 kDa < MW < 30 kDa) in osteosarcoma cells. Top-down proteomic (TDP) data was acquired using reversed phase nano-liquid chromatography in conjunction with high-resolution mass spectrometry and resulted in the assignment of 328 proteins and 820 proteoforms or degradation products with high confidence. Eight post-translational modifications (PTMs) were identified in the present study, including N-terminal acetylation, lysine acetylation, succinylation, malonylation, serine/tyrosine phosphorylation, histidine methylation and N-acetylleucine. We confirmed that a truncated N-terminal proteoform lost 73 Da of mass through removal of the N-terminal Met (-131 Da), acetylation of the second amino acid (+42 Da), and Met oxidation (+16 Da). The results showed that the levels of proteoforms/biodegradable peptides correlated with the metastatic phenotypes of osteosarcoma cell lines. This study demonstrates the benefits of TDP for the characterization and relative quantification of proteoforms with relevance to OS biology and the potential of small molecular weight proteoforms to serve as a still underappreciated source of biomarkers.</p>","PeriodicalId":12007,"journal":{"name":"European Journal of Mass Spectrometry","volume":null,"pages":null},"PeriodicalIF":1.1000,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Journal of Mass Spectrometry","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1177/14690667231202766","RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/9/19 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"PHYSICS, ATOMIC, MOLECULAR & CHEMICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Osteosarcoma (OS) is the most common primary malignant tumor of bone, which occupying about 20% of all bone cancers. To increase understanding of the biology of OS, we developed and evaluated a top-down mass spectrometry approach to detect, identify and quantify low molecular weight (MW) proteins (i.e., 1 kDa < MW < 30 kDa) in osteosarcoma cells. Top-down proteomic (TDP) data was acquired using reversed phase nano-liquid chromatography in conjunction with high-resolution mass spectrometry and resulted in the assignment of 328 proteins and 820 proteoforms or degradation products with high confidence. Eight post-translational modifications (PTMs) were identified in the present study, including N-terminal acetylation, lysine acetylation, succinylation, malonylation, serine/tyrosine phosphorylation, histidine methylation and N-acetylleucine. We confirmed that a truncated N-terminal proteoform lost 73 Da of mass through removal of the N-terminal Met (-131 Da), acetylation of the second amino acid (+42 Da), and Met oxidation (+16 Da). The results showed that the levels of proteoforms/biodegradable peptides correlated with the metastatic phenotypes of osteosarcoma cell lines. This study demonstrates the benefits of TDP for the characterization and relative quantification of proteoforms with relevance to OS biology and the potential of small molecular weight proteoforms to serve as a still underappreciated source of biomarkers.
期刊介绍:
JMS - European Journal of Mass Spectrometry, is a peer-reviewed journal, devoted to the publication of innovative research in mass spectrometry. Articles in the journal come from proteomics, metabolomics, petroleomics and other areas developing under the umbrella of the “omic revolution”.