Bobby Beaumont, Silvia A Synowsky, Sally L Shirran, Judith E Sleeman
{"title":"Investigating the interactomic landscape of survival motor neuron (SMN) and the SMNΔ7 truncated protein.","authors":"Bobby Beaumont, Silvia A Synowsky, Sally L Shirran, Judith E Sleeman","doi":"10.1080/07366205.2026.2675476","DOIUrl":null,"url":null,"abstract":"<p><p>This protocol describes a methodology combining TurboID - a recently developed proximity biotinylation technique - with conventional epitope-tag based co-immunoprecipitation (Co-IP) to analyze protein-protein interactions (PPIs) in cell culture systems. This integrated approach allows the targeted examination of both transient and stable protein interactors, enhancing our understanding of protein dynamics. TurboID captures transient interactions often missed by Co-IP, which captures high affinity, stable interactors. Combination of both techniques enables direct comparison of interaction strengths, providing insights into the dynamic nature of protein interactions within cells. The rapid biotinylation capability of TurboID reduces background noise and false positives while Co-IP enriches stable interactors, together improving data quality and interpretation of the interactomic landscape. Demonstrating the efficacy of this methodology, proteins relevant to the pathology of Spinal Muscular Atrophy were utilized to explore variations at the interactome level. The use of identical starting cell lysates for both TurboID and Co-IP minimized variability and ensured datasets were comparable, allowing for consistency and enhancing the reliability of findings regarding the nature and strength of protein interactions. This novel framework effectively combines both innovative and classical techniques while maintaining consistency in sample handling, advancing our understanding of the intricate networks that govern cellular processes.</p><p><p>Full data-set available at https://www.ebi.ac.uk/pride/ reference ID PXD066858.</p>","PeriodicalId":8945,"journal":{"name":"BioTechniques","volume":"78 1-12","pages":"207-220"},"PeriodicalIF":2.6000,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"BioTechniques","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/07366205.2026.2675476","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/6/17 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
This protocol describes a methodology combining TurboID - a recently developed proximity biotinylation technique - with conventional epitope-tag based co-immunoprecipitation (Co-IP) to analyze protein-protein interactions (PPIs) in cell culture systems. This integrated approach allows the targeted examination of both transient and stable protein interactors, enhancing our understanding of protein dynamics. TurboID captures transient interactions often missed by Co-IP, which captures high affinity, stable interactors. Combination of both techniques enables direct comparison of interaction strengths, providing insights into the dynamic nature of protein interactions within cells. The rapid biotinylation capability of TurboID reduces background noise and false positives while Co-IP enriches stable interactors, together improving data quality and interpretation of the interactomic landscape. Demonstrating the efficacy of this methodology, proteins relevant to the pathology of Spinal Muscular Atrophy were utilized to explore variations at the interactome level. The use of identical starting cell lysates for both TurboID and Co-IP minimized variability and ensured datasets were comparable, allowing for consistency and enhancing the reliability of findings regarding the nature and strength of protein interactions. This novel framework effectively combines both innovative and classical techniques while maintaining consistency in sample handling, advancing our understanding of the intricate networks that govern cellular processes.
Full data-set available at https://www.ebi.ac.uk/pride/ reference ID PXD066858.
期刊介绍:
BioTechniques is a peer-reviewed, open-access journal dedicated to publishing original laboratory methods, related technical and software tools, and methods-oriented review articles that are of broad interest to professional life scientists, as well as to scientists from other disciplines (e.g., chemistry, physics, computer science, plant and agricultural science and climate science) interested in life science applications for their technologies.
Since 1983, BioTechniques has been a leading peer-reviewed journal for methods-related research. The journal considers:
Reports describing innovative new methods, platforms and software, substantive modifications to existing methods, or innovative applications of existing methods, techniques & tools to new models or scientific questions
Descriptions of technical tools that facilitate the design or performance of experiments or data analysis, such as software and simple laboratory devices
Surveys of technical approaches related to broad fields of research
Reviews discussing advancements in techniques and methods related to broad fields of research
Letters to the Editor and Expert Opinions highlighting interesting observations or cautionary tales concerning experimental design, methodology or analysis.