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Microfluidic approaches for the analysis of protein–protein interactions in solution

Exploration and characterisation of the human proteome is a key objective enabling a heightened understanding of biological function, malfunction and pharmaceutical design. Since proteins typically exhibit their behaviour by binding to other proteins, the challenge of probing protein-protein interac...

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Autores principales: Arter, William E., Levin, Aviad, Krainer, Georg, Knowles, Tuomas P. J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7242286/
https://www.ncbi.nlm.nih.gov/pubmed/32266673
http://dx.doi.org/10.1007/s12551-020-00679-4
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author Arter, William E.
Levin, Aviad
Krainer, Georg
Knowles, Tuomas P. J.
author_facet Arter, William E.
Levin, Aviad
Krainer, Georg
Knowles, Tuomas P. J.
author_sort Arter, William E.
collection PubMed
description Exploration and characterisation of the human proteome is a key objective enabling a heightened understanding of biological function, malfunction and pharmaceutical design. Since proteins typically exhibit their behaviour by binding to other proteins, the challenge of probing protein-protein interactions has been the focus of new and improved experimental approaches. Here, we review recently developed microfluidic techniques for the study and quantification of protein–protein interactions. We focus on methodologies that utilise the inherent strength of microfluidics for the control of mass transport on the micron scale, to facilitate surface and membrane-free interrogation and quantification of interacting proteins. Thus, the microfluidic tools described here provide the capability to yield insights on protein–protein interactions under physiological conditions. We first discuss the defining principles of microfluidics, and methods for the analysis of protein–protein interactions that utilise the diffusion-controlled mixing characteristic of fluids at the microscale. We then describe techniques that employ electrophoretic forces to manipulate and fractionate interacting protein systems for their biophysical characterisation, before discussing strategies that use microdroplet compartmentalisation for the analysis of protein interactions. We conclude by highlighting future directions for the field, such as the integration of microfluidic experiments into high-throughput workflows for the investigation of protein interaction networks.
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spelling pubmed-72422862020-06-03 Microfluidic approaches for the analysis of protein–protein interactions in solution Arter, William E. Levin, Aviad Krainer, Georg Knowles, Tuomas P. J. Biophys Rev Review Exploration and characterisation of the human proteome is a key objective enabling a heightened understanding of biological function, malfunction and pharmaceutical design. Since proteins typically exhibit their behaviour by binding to other proteins, the challenge of probing protein-protein interactions has been the focus of new and improved experimental approaches. Here, we review recently developed microfluidic techniques for the study and quantification of protein–protein interactions. We focus on methodologies that utilise the inherent strength of microfluidics for the control of mass transport on the micron scale, to facilitate surface and membrane-free interrogation and quantification of interacting proteins. Thus, the microfluidic tools described here provide the capability to yield insights on protein–protein interactions under physiological conditions. We first discuss the defining principles of microfluidics, and methods for the analysis of protein–protein interactions that utilise the diffusion-controlled mixing characteristic of fluids at the microscale. We then describe techniques that employ electrophoretic forces to manipulate and fractionate interacting protein systems for their biophysical characterisation, before discussing strategies that use microdroplet compartmentalisation for the analysis of protein interactions. We conclude by highlighting future directions for the field, such as the integration of microfluidic experiments into high-throughput workflows for the investigation of protein interaction networks. Springer Berlin Heidelberg 2020-04-08 /pmc/articles/PMC7242286/ /pubmed/32266673 http://dx.doi.org/10.1007/s12551-020-00679-4 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Review
Arter, William E.
Levin, Aviad
Krainer, Georg
Knowles, Tuomas P. J.
Microfluidic approaches for the analysis of protein–protein interactions in solution
title Microfluidic approaches for the analysis of protein–protein interactions in solution
title_full Microfluidic approaches for the analysis of protein–protein interactions in solution
title_fullStr Microfluidic approaches for the analysis of protein–protein interactions in solution
title_full_unstemmed Microfluidic approaches for the analysis of protein–protein interactions in solution
title_short Microfluidic approaches for the analysis of protein–protein interactions in solution
title_sort microfluidic approaches for the analysis of protein–protein interactions in solution
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7242286/
https://www.ncbi.nlm.nih.gov/pubmed/32266673
http://dx.doi.org/10.1007/s12551-020-00679-4
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