Chloé Van Leene, Laura Van Moortel, Karolien De Bosscher, Kris Gevaert
{"title":"Exploring protein conformations with limited proteolysis coupled to mass spectrometry.","authors":"Chloé Van Leene, Laura Van Moortel, Karolien De Bosscher, Kris Gevaert","doi":"10.1016/j.tibs.2024.11.005","DOIUrl":null,"url":null,"abstract":"<p><p>Limited proteolysis coupled to mass spectrometry (LiP-MS) has emerged as a powerful proteomic tool for studying protein conformations. Since its introduction in 2014, LiP-MS has expanded its scope to explore complex biological systems and shed light on disease mechanisms, and has been used for protein drug research. This review discusses the evolution of the technique, recent technical advances, including enhanced protocols and integration of machine learning, and diverse applications across various experimental models. Despite its achievements, challenges in protein extraction and conformotypic peptide identification remain. Ongoing methodological refinements will be crucial to overcome these challenges and enhance the capabilities of the technique. However, LiP-MS offers significant potential for future discoveries in structural proteomics and medical research.</p>","PeriodicalId":440,"journal":{"name":"Trends in Biochemical Sciences","volume":" ","pages":""},"PeriodicalIF":11.6000,"publicationDate":"2024-12-19","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.2024.11.005","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}
引用次数: 0
Abstract
Limited proteolysis coupled to mass spectrometry (LiP-MS) has emerged as a powerful proteomic tool for studying protein conformations. Since its introduction in 2014, LiP-MS has expanded its scope to explore complex biological systems and shed light on disease mechanisms, and has been used for protein drug research. This review discusses the evolution of the technique, recent technical advances, including enhanced protocols and integration of machine learning, and diverse applications across various experimental models. Despite its achievements, challenges in protein extraction and conformotypic peptide identification remain. Ongoing methodological refinements will be crucial to overcome these challenges and enhance the capabilities of the technique. However, LiP-MS offers significant potential for future discoveries in structural proteomics and medical research.
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.