Timothy A Bates, Sintayehu K Gurmessa, Jules B Weinstein, Mila Trank-Greene, Xammy Huu Wrynla, Aidan Anastas, Teketay Wassie Anley, Audrey Hinchliff, Ujwal Shinde, John E Burke, Fikadu G Tafesse
{"title":"Biolayer interferometry for measuring the kinetics of protein-protein interactions and nanobody binding.","authors":"Timothy A Bates, Sintayehu K Gurmessa, Jules B Weinstein, Mila Trank-Greene, Xammy Huu Wrynla, Aidan Anastas, Teketay Wassie Anley, Audrey Hinchliff, Ujwal Shinde, John E Burke, Fikadu G Tafesse","doi":"10.1038/s41596-024-01079-8","DOIUrl":null,"url":null,"abstract":"<p><p>Protein-protein interactions underpin nearly all biological processes, and understanding the molecular mechanisms that govern these interactions is crucial for the progress of biomedical sciences. The emergence of artificial intelligence-driven computational tools can help reshape the methods of structural biology; however, model data often require empirical validation. The large scale of predictive modeling data will therefore benefit from optimized methodologies for the high-throughput biochemical characterization of protein-protein interactions. Biolayer interferometry is one of very few approaches that can determine the rate of biomolecular interactions, called kinetics, and, of the commonly available kinetic measurement techniques, it is the most suitable for high-throughput experimental designs. Here we provide step-by-step instructions on how to perform kinetics experiments using biolayer interferometry. We further describe the basis and execution of competition and epitope binning experiments, which are particularly useful for antibody and nanobody screening applications. The procedure requires 3 h to complete and is suitable for users with minimal experience with biochemical techniques.</p>","PeriodicalId":18901,"journal":{"name":"Nature Protocols","volume":" ","pages":""},"PeriodicalIF":13.1000,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature Protocols","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1038/s41596-024-01079-8","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
Protein-protein interactions underpin nearly all biological processes, and understanding the molecular mechanisms that govern these interactions is crucial for the progress of biomedical sciences. The emergence of artificial intelligence-driven computational tools can help reshape the methods of structural biology; however, model data often require empirical validation. The large scale of predictive modeling data will therefore benefit from optimized methodologies for the high-throughput biochemical characterization of protein-protein interactions. Biolayer interferometry is one of very few approaches that can determine the rate of biomolecular interactions, called kinetics, and, of the commonly available kinetic measurement techniques, it is the most suitable for high-throughput experimental designs. Here we provide step-by-step instructions on how to perform kinetics experiments using biolayer interferometry. We further describe the basis and execution of competition and epitope binning experiments, which are particularly useful for antibody and nanobody screening applications. The procedure requires 3 h to complete and is suitable for users with minimal experience with biochemical techniques.
期刊介绍:
Nature Protocols focuses on publishing protocols used to address significant biological and biomedical science research questions, including methods grounded in physics and chemistry with practical applications to biological problems. The journal caters to a primary audience of research scientists and, as such, exclusively publishes protocols with research applications. Protocols primarily aimed at influencing patient management and treatment decisions are not featured.
The specific techniques covered encompass a wide range, including but not limited to: Biochemistry, Cell biology, Cell culture, Chemical modification, Computational biology, Developmental biology, Epigenomics, Genetic analysis, Genetic modification, Genomics, Imaging, Immunology, Isolation, purification, and separation, Lipidomics, Metabolomics, Microbiology, Model organisms, Nanotechnology, Neuroscience, Nucleic-acid-based molecular biology, Pharmacology, Plant biology, Protein analysis, Proteomics, Spectroscopy, Structural biology, Synthetic chemistry, Tissue culture, Toxicology, and Virology.