{"title":"TAggiXL: A Fluorescence-Traceable Cross-Linking Strategy for Unbiased Profiling of Protein Aggregation and Interactome Dynamics","authors":"Yuwen Chen, Yuxin An, Hui Pan, Zhou Gong, Zhiying Li, Jing Chen, Zhen Liang, Yukui Zhang, Yu Liu, Qun Zhao, Lihua Zhang","doi":"10.1021/acs.analchem.4c05071","DOIUrl":null,"url":null,"abstract":"Protein aggregation is a hallmark of numerous degenerative diseases, yet its underlying mechanisms remain poorly understood due to the challenges in identifying the composition and interaction networks of these aggregates. To address this issue, we developed TAggiXL, a novel method that combines fluorescence-traceable aggregate isolation with cross-linking proteomics, significantly enhancing the efficiency and precision of isolating protein aggregates. This method facilitates unbiased profiling of aggregated proteomes and their interactomes in live cells. The TAggiXL approach leverages advanced cross-linking proteomics, density gradient centrifugation, and fluorescence tracking to provide detailed characterization of protein aggregation under various stress conditions including HSP90 and proteasome inhibition. Using TAggiXL, we identified key components and interactions within the aggregates, particularly highlighting E3 ubiquitin ligase TRIM26, which plays a crucial role in aggregate formation and autophagic clearance under stress and pathogenic conditions. Moreover, TAggiXL revealed that HSPA1B functions as a central interaction hub within the aggregated proteome. It preferentially interacts with intrinsically disordered regions (IDRs) of aggregate components and demonstrates dynamic behavior within the aggregate. In summary, TAggiXL offers a powerful tool for dissecting the complex composition and interaction networks of protein aggregates, with a significant potential to advance our understanding of protein aggregation in degenerative diseases. It also holds promise for the development of future therapeutic interventions.","PeriodicalId":27,"journal":{"name":"Analytical Chemistry","volume":"79 1","pages":""},"PeriodicalIF":6.7000,"publicationDate":"2024-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Analytical Chemistry","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1021/acs.analchem.4c05071","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Protein aggregation is a hallmark of numerous degenerative diseases, yet its underlying mechanisms remain poorly understood due to the challenges in identifying the composition and interaction networks of these aggregates. To address this issue, we developed TAggiXL, a novel method that combines fluorescence-traceable aggregate isolation with cross-linking proteomics, significantly enhancing the efficiency and precision of isolating protein aggregates. This method facilitates unbiased profiling of aggregated proteomes and their interactomes in live cells. The TAggiXL approach leverages advanced cross-linking proteomics, density gradient centrifugation, and fluorescence tracking to provide detailed characterization of protein aggregation under various stress conditions including HSP90 and proteasome inhibition. Using TAggiXL, we identified key components and interactions within the aggregates, particularly highlighting E3 ubiquitin ligase TRIM26, which plays a crucial role in aggregate formation and autophagic clearance under stress and pathogenic conditions. Moreover, TAggiXL revealed that HSPA1B functions as a central interaction hub within the aggregated proteome. It preferentially interacts with intrinsically disordered regions (IDRs) of aggregate components and demonstrates dynamic behavior within the aggregate. In summary, TAggiXL offers a powerful tool for dissecting the complex composition and interaction networks of protein aggregates, with a significant potential to advance our understanding of protein aggregation in degenerative diseases. It also holds promise for the development of future therapeutic interventions.
期刊介绍:
Analytical Chemistry, a peer-reviewed research journal, focuses on disseminating new and original knowledge across all branches of analytical chemistry. Fundamental articles may explore general principles of chemical measurement science and need not directly address existing or potential analytical methodology. They can be entirely theoretical or report experimental results. Contributions may cover various phases of analytical operations, including sampling, bioanalysis, electrochemistry, mass spectrometry, microscale and nanoscale systems, environmental analysis, separations, spectroscopy, chemical reactions and selectivity, instrumentation, imaging, surface analysis, and data processing. Papers discussing known analytical methods should present a significant, original application of the method, a notable improvement, or results on an important analyte.