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Live-cell monitoring of protein localization to membrane rafts using protein-fragment complementation

The plasma membrane consists of a variety of discrete domains differing from the surrounding membrane in composition and properties. Selective partitioning of protein to these microdomains is essential for membrane functioning and integrity. Studying the nanoscale size and dynamic nature of the memb...

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Autores principales: Merezhko, Maria, Pakarinen, Emmi, Uronen, Riikka-Liisa, Huttunen, Henri J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Portland Press Ltd. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6944658/
https://www.ncbi.nlm.nih.gov/pubmed/31850494
http://dx.doi.org/10.1042/BSR20191290
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author Merezhko, Maria
Pakarinen, Emmi
Uronen, Riikka-Liisa
Huttunen, Henri J.
author_facet Merezhko, Maria
Pakarinen, Emmi
Uronen, Riikka-Liisa
Huttunen, Henri J.
author_sort Merezhko, Maria
collection PubMed
description The plasma membrane consists of a variety of discrete domains differing from the surrounding membrane in composition and properties. Selective partitioning of protein to these microdomains is essential for membrane functioning and integrity. Studying the nanoscale size and dynamic nature of the membrane microdomains requires advanced imaging approaches with a high spatiotemporal resolution and, consequently, expensive and specialized equipment, unavailable for most researchers and unsuited for large-scale studies. Thus, understanding of protein partitioning to the membrane microdomains in health and disease is still hampered by the lack of inexpensive live-cell approaches with an appropriate spatial resolution. Here, we have developed a novel approach based on Gaussia princeps luciferase protein-fragment complementation assay to quantitively investigate protein partitioning to cholesterol and sphingomyelin-rich domains, sometimes called ‘lipid rafts’, in intact living cells with a high-spatial resolution. In the assay, the reporter construct, carrying one half of the luciferase protein, is targeted to lipid microdomains through the fused acetylation motif from Src-family kinase Fyn. A protein of interest carries the second half of the luciferase protein. Together, this serves as a reversible real-time sensor of raft recruitment for the studied protein. We demonstrated that the assay can efficiently detect the dynamic alterations in raft localization of two disease-associated proteins: Akt and APP. Importantly, this method can be used in high-throughput screenings and other large-scale studies in living cells. This inexpensive, and easy to implement raft localization assay will benefit all researchers interested in protein partitioning in rafts.
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spelling pubmed-69446582020-01-09 Live-cell monitoring of protein localization to membrane rafts using protein-fragment complementation Merezhko, Maria Pakarinen, Emmi Uronen, Riikka-Liisa Huttunen, Henri J. Biosci Rep Biochemical Techniques & Resources The plasma membrane consists of a variety of discrete domains differing from the surrounding membrane in composition and properties. Selective partitioning of protein to these microdomains is essential for membrane functioning and integrity. Studying the nanoscale size and dynamic nature of the membrane microdomains requires advanced imaging approaches with a high spatiotemporal resolution and, consequently, expensive and specialized equipment, unavailable for most researchers and unsuited for large-scale studies. Thus, understanding of protein partitioning to the membrane microdomains in health and disease is still hampered by the lack of inexpensive live-cell approaches with an appropriate spatial resolution. Here, we have developed a novel approach based on Gaussia princeps luciferase protein-fragment complementation assay to quantitively investigate protein partitioning to cholesterol and sphingomyelin-rich domains, sometimes called ‘lipid rafts’, in intact living cells with a high-spatial resolution. In the assay, the reporter construct, carrying one half of the luciferase protein, is targeted to lipid microdomains through the fused acetylation motif from Src-family kinase Fyn. A protein of interest carries the second half of the luciferase protein. Together, this serves as a reversible real-time sensor of raft recruitment for the studied protein. We demonstrated that the assay can efficiently detect the dynamic alterations in raft localization of two disease-associated proteins: Akt and APP. Importantly, this method can be used in high-throughput screenings and other large-scale studies in living cells. This inexpensive, and easy to implement raft localization assay will benefit all researchers interested in protein partitioning in rafts. Portland Press Ltd. 2020-01-03 /pmc/articles/PMC6944658/ /pubmed/31850494 http://dx.doi.org/10.1042/BSR20191290 Text en © 2020 The Author(s). https://creativecommons.org/licenses/by/4.0/ This is an open access article published by Portland Press Limited on behalf of the Biochemical Society and distributed under the Creative Commons Attribution License 4.0 (CC BY).
spellingShingle Biochemical Techniques & Resources
Merezhko, Maria
Pakarinen, Emmi
Uronen, Riikka-Liisa
Huttunen, Henri J.
Live-cell monitoring of protein localization to membrane rafts using protein-fragment complementation
title Live-cell monitoring of protein localization to membrane rafts using protein-fragment complementation
title_full Live-cell monitoring of protein localization to membrane rafts using protein-fragment complementation
title_fullStr Live-cell monitoring of protein localization to membrane rafts using protein-fragment complementation
title_full_unstemmed Live-cell monitoring of protein localization to membrane rafts using protein-fragment complementation
title_short Live-cell monitoring of protein localization to membrane rafts using protein-fragment complementation
title_sort live-cell monitoring of protein localization to membrane rafts using protein-fragment complementation
topic Biochemical Techniques & Resources
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6944658/
https://www.ncbi.nlm.nih.gov/pubmed/31850494
http://dx.doi.org/10.1042/BSR20191290
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