{"title":"加速向功能性糖蛋白组学迈进。","authors":"Tim S Veth, Nicholas M Riley","doi":"10.1016/j.tibs.2025.04.002","DOIUrl":null,"url":null,"abstract":"<p><p>The heterogeneity of the glycoproteome and the challenges associated with quantifying its regulation in complex biological systems have hindered functional glycoproteomics. The deep quantitative glycoprofiling (DQGlyco) method recently developed by Potel, Burtscher, and Garrido-Rodriguez et al. significantly improves the glycoproteomic depth compared with existing methods, aiding our ability to interrogate the functional implications of glycoproteins.</p>","PeriodicalId":440,"journal":{"name":"Trends in Biochemical Sciences","volume":" ","pages":""},"PeriodicalIF":11.6000,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Accelerating the stride toward functional glycoproteomics.\",\"authors\":\"Tim S Veth, Nicholas M Riley\",\"doi\":\"10.1016/j.tibs.2025.04.002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The heterogeneity of the glycoproteome and the challenges associated with quantifying its regulation in complex biological systems have hindered functional glycoproteomics. The deep quantitative glycoprofiling (DQGlyco) method recently developed by Potel, Burtscher, and Garrido-Rodriguez et al. significantly improves the glycoproteomic depth compared with existing methods, aiding our ability to interrogate the functional implications of glycoproteins.</p>\",\"PeriodicalId\":440,\"journal\":{\"name\":\"Trends in Biochemical Sciences\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":11.6000,\"publicationDate\":\"2025-05-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Trends in Biochemical Sciences\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1016/j.tibs.2025.04.002\",\"RegionNum\":1,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Trends in Biochemical Sciences","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1016/j.tibs.2025.04.002","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
Accelerating the stride toward functional glycoproteomics.
The heterogeneity of the glycoproteome and the challenges associated with quantifying its regulation in complex biological systems have hindered functional glycoproteomics. The deep quantitative glycoprofiling (DQGlyco) method recently developed by Potel, Burtscher, and Garrido-Rodriguez et al. significantly improves the glycoproteomic depth compared with existing methods, aiding our ability to interrogate the functional implications of glycoproteins.
期刊介绍:
For over 40 years, Trends in Biochemical Sciences (TIBS) has been a leading publication keeping readers informed about recent advances in all areas of biochemistry and molecular biology. Through monthly, peer-reviewed issues, TIBS covers a wide range of topics, from traditional subjects like protein structure and function to emerging areas in signaling and metabolism. Articles are curated by the Editor and authored by top researchers in their fields, with a focus on moving beyond simple literature summaries to providing novel insights and perspectives. Each issue primarily features concise and timely Reviews and Opinions, supplemented by shorter articles including Spotlights, Forums, and Technology of the Month, as well as impactful pieces like Science & Society and Scientific Life articles.