Mingming Dong, Xiaoyan Liu, Changrui Zhao, Zheng Fang, Zhongyu Wang, Xin Guo, Yan Wang, Yanan Li, Mingliang Ye, Lingyun Jia
{"title":"时间分辨多蛋白质组学分析能够系统地表征Jurkat T细胞活化过程中n -糖基化模式的变化。","authors":"Mingming Dong, Xiaoyan Liu, Changrui Zhao, Zheng Fang, Zhongyu Wang, Xin Guo, Yan Wang, Yanan Li, Mingliang Ye, Lingyun Jia","doi":"10.1007/s00216-025-05805-3","DOIUrl":null,"url":null,"abstract":"<p><p>Protein glycosylation plays essential roles in regulating innate and adaptive immune response. Previous studies only focused on individual protein-glycan interactions or specific glycoform changes during T cell activation, yet the systematic characterization of protein glycosylation alterations remains insufficiently elucidated. To address these limitations, we conducted temporally resolved quantitative analysis of glycoforms, site-specific glycans, glycoproteins, and glycosylation enzymes in activated Jurkat T cells, and successfully portrayed the dynamic landscape of protein glycosylation during Jurkat T cell activation. We found the heterogeneity and number of significantly upregulated glycopeptides increased along with activation. For most glycopeptides, their alteration patterns did not correlate with the abundance of their glycoprotein substrates. However, functional molecules including CD69, CD28, and PTPRC demonstrated co-upregulation at both the protein and glycosylation levels. Correlation analysis between glycopeptides and glycotransferases indicated that sialylated or fucosylated peptides were well correlated with enzymes involved in glycan branching and capping. Comparative analysis of global peptides, glycopeptides, and phosphopeptides revealed their distinctive changing patterns along Jurkat T cell activation, and only glycosylation demonstrated a steady increase trend with a large proportion of upregulated glycopeptides. Collectively, this integrated multi-proteomics characterization of activated Jurkat T cells provided insights for the development of novel therapeutic strategy targeting glycosylation.</p>","PeriodicalId":462,"journal":{"name":"Analytical and Bioanalytical Chemistry","volume":" ","pages":"2169-2183"},"PeriodicalIF":3.8000,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Temporal resolved multi-proteomic analysis enabled the systematic characterization of N-glycosylation pattern changes during Jurkat T cell activation.\",\"authors\":\"Mingming Dong, Xiaoyan Liu, Changrui Zhao, Zheng Fang, Zhongyu Wang, Xin Guo, Yan Wang, Yanan Li, Mingliang Ye, Lingyun Jia\",\"doi\":\"10.1007/s00216-025-05805-3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Protein glycosylation plays essential roles in regulating innate and adaptive immune response. Previous studies only focused on individual protein-glycan interactions or specific glycoform changes during T cell activation, yet the systematic characterization of protein glycosylation alterations remains insufficiently elucidated. To address these limitations, we conducted temporally resolved quantitative analysis of glycoforms, site-specific glycans, glycoproteins, and glycosylation enzymes in activated Jurkat T cells, and successfully portrayed the dynamic landscape of protein glycosylation during Jurkat T cell activation. We found the heterogeneity and number of significantly upregulated glycopeptides increased along with activation. For most glycopeptides, their alteration patterns did not correlate with the abundance of their glycoprotein substrates. However, functional molecules including CD69, CD28, and PTPRC demonstrated co-upregulation at both the protein and glycosylation levels. Correlation analysis between glycopeptides and glycotransferases indicated that sialylated or fucosylated peptides were well correlated with enzymes involved in glycan branching and capping. Comparative analysis of global peptides, glycopeptides, and phosphopeptides revealed their distinctive changing patterns along Jurkat T cell activation, and only glycosylation demonstrated a steady increase trend with a large proportion of upregulated glycopeptides. Collectively, this integrated multi-proteomics characterization of activated Jurkat T cells provided insights for the development of novel therapeutic strategy targeting glycosylation.</p>\",\"PeriodicalId\":462,\"journal\":{\"name\":\"Analytical and Bioanalytical Chemistry\",\"volume\":\" \",\"pages\":\"2169-2183\"},\"PeriodicalIF\":3.8000,\"publicationDate\":\"2025-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Analytical and Bioanalytical Chemistry\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://doi.org/10.1007/s00216-025-05805-3\",\"RegionNum\":2,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/2/25 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"BIOCHEMICAL RESEARCH METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Analytical and Bioanalytical Chemistry","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1007/s00216-025-05805-3","RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/2/25 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
Temporal resolved multi-proteomic analysis enabled the systematic characterization of N-glycosylation pattern changes during Jurkat T cell activation.
Protein glycosylation plays essential roles in regulating innate and adaptive immune response. Previous studies only focused on individual protein-glycan interactions or specific glycoform changes during T cell activation, yet the systematic characterization of protein glycosylation alterations remains insufficiently elucidated. To address these limitations, we conducted temporally resolved quantitative analysis of glycoforms, site-specific glycans, glycoproteins, and glycosylation enzymes in activated Jurkat T cells, and successfully portrayed the dynamic landscape of protein glycosylation during Jurkat T cell activation. We found the heterogeneity and number of significantly upregulated glycopeptides increased along with activation. For most glycopeptides, their alteration patterns did not correlate with the abundance of their glycoprotein substrates. However, functional molecules including CD69, CD28, and PTPRC demonstrated co-upregulation at both the protein and glycosylation levels. Correlation analysis between glycopeptides and glycotransferases indicated that sialylated or fucosylated peptides were well correlated with enzymes involved in glycan branching and capping. Comparative analysis of global peptides, glycopeptides, and phosphopeptides revealed their distinctive changing patterns along Jurkat T cell activation, and only glycosylation demonstrated a steady increase trend with a large proportion of upregulated glycopeptides. Collectively, this integrated multi-proteomics characterization of activated Jurkat T cells provided insights for the development of novel therapeutic strategy targeting glycosylation.
期刊介绍:
Analytical and Bioanalytical Chemistry’s mission is the rapid publication of excellent and high-impact research articles on fundamental and applied topics of analytical and bioanalytical measurement science. Its scope is broad, and ranges from novel measurement platforms and their characterization to multidisciplinary approaches that effectively address important scientific problems. The Editors encourage submissions presenting innovative analytical research in concept, instrumentation, methods, and/or applications, including: mass spectrometry, spectroscopy, and electroanalysis; advanced separations; analytical strategies in “-omics” and imaging, bioanalysis, and sampling; miniaturized devices, medical diagnostics, sensors; analytical characterization of nano- and biomaterials; chemometrics and advanced data analysis.