A bimolecular fluorescence complementation flow cytometry screen for membrane protein interactions
Abstract Interactions between membrane proteins within a cellular environment are crucial for all living cells. Robust methods to screen and analyse membrane protein complexes are essential to shed light on the molecular mechanism of membrane protein interactions. Most methods for detecting protein:...
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Nature Portfolio
2021
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oai:doaj.org-article:1da6ce3993a549b48d559848388d90302021-12-02T18:51:15ZA bimolecular fluorescence complementation flow cytometry screen for membrane protein interactions10.1038/s41598-021-98810-22045-2322https://doaj.org/article/1da6ce3993a549b48d559848388d90302021-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-98810-2https://doaj.org/toc/2045-2322Abstract Interactions between membrane proteins within a cellular environment are crucial for all living cells. Robust methods to screen and analyse membrane protein complexes are essential to shed light on the molecular mechanism of membrane protein interactions. Most methods for detecting protein:protein interactions (PPIs) have been developed to target the interactions of soluble proteins. Bimolecular fluorescence complementation (BiFC) assays allow the formation of complexes involving PPI partners to be visualized in vivo, irrespective of whether or not these interactions are between soluble or membrane proteins. In this study, we report the development of a screening approach which utilizes BiFC and applies flow cytometry to characterize membrane protein interaction partners in the host Saccharomyces cerevisiae. These data allow constructive complexes to be discriminated with statistical confidence from random interactions and potentially allows an efficient screen for PPIs in vivo within a high-throughput setup.Florian SchmitzJessica GlasRichard NeutzeKristina HedfalkNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021) |
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Medicine R Science Q Florian Schmitz Jessica Glas Richard Neutze Kristina Hedfalk A bimolecular fluorescence complementation flow cytometry screen for membrane protein interactions |
description |
Abstract Interactions between membrane proteins within a cellular environment are crucial for all living cells. Robust methods to screen and analyse membrane protein complexes are essential to shed light on the molecular mechanism of membrane protein interactions. Most methods for detecting protein:protein interactions (PPIs) have been developed to target the interactions of soluble proteins. Bimolecular fluorescence complementation (BiFC) assays allow the formation of complexes involving PPI partners to be visualized in vivo, irrespective of whether or not these interactions are between soluble or membrane proteins. In this study, we report the development of a screening approach which utilizes BiFC and applies flow cytometry to characterize membrane protein interaction partners in the host Saccharomyces cerevisiae. These data allow constructive complexes to be discriminated with statistical confidence from random interactions and potentially allows an efficient screen for PPIs in vivo within a high-throughput setup. |
format |
article |
author |
Florian Schmitz Jessica Glas Richard Neutze Kristina Hedfalk |
author_facet |
Florian Schmitz Jessica Glas Richard Neutze Kristina Hedfalk |
author_sort |
Florian Schmitz |
title |
A bimolecular fluorescence complementation flow cytometry screen for membrane protein interactions |
title_short |
A bimolecular fluorescence complementation flow cytometry screen for membrane protein interactions |
title_full |
A bimolecular fluorescence complementation flow cytometry screen for membrane protein interactions |
title_fullStr |
A bimolecular fluorescence complementation flow cytometry screen for membrane protein interactions |
title_full_unstemmed |
A bimolecular fluorescence complementation flow cytometry screen for membrane protein interactions |
title_sort |
bimolecular fluorescence complementation flow cytometry screen for membrane protein interactions |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/1da6ce3993a549b48d559848388d9030 |
work_keys_str_mv |
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1718377432687312896 |