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Quantifying protein densities on cell membranes using super-resolution optical fluctuation imaging

SYSNO ASEP	0482642
Document Type	J - Journal Article
R&D Document Type	Journal Article
Subsidiary J	Článek ve WOS
Title	Quantifying protein densities on cell membranes using super-resolution optical fluctuation imaging
Author(s)	Lukeš, T. (CZ) Glatzová, Daniela (UFCH-W) Kvíčalová, Zuzana (UFCH-W) Levet, F. (FR) Benda, Aleš (UFCH-W)_{RID, ORCID} Letschert, S. (DE) Sauer, M. (DE) Brdička, Tomáš (UMG-J)_RID Lasser, T. (FR) Cebecauer, Marek (UFCH-W)_{RID, ORCID, SAI}
Article number	1731
Source Title	Nature Communications. - : Nature Publishing Group Roč. 8, č. 1 (2017)
Number of pages	7 s.
Language	eng - English
Country	GB - United Kingdom
Keywords	quantifying protein densities ; membranes ; single-molecule localization microscopy
Subject RIV	CE - Biochemistry
OECD category	Biochemistry and molecular biology
R&D Projects	GA15-06989S GA ČR - Czech Science Foundation (CSF)
Method of publishing	Open access
Institutional support	UFCH-W - RVO:61388955 ; UMG-J - RVO:68378050
UT WOS	000416229300017
EID SCOPUS	85035071940
DOI	10.1038/s41467-017-01857-x
Annotation	Quantitative approaches for characterizing molecular organization of cell membrane molecules under physiological and pathological conditions profit from recently developed super-resolution imaging techniques. Current tools employ statistical algorithms to determine clusters of molecules based on single-molecule localization microscopy (SMLM) data. These approaches are limited by the ability of SMLM techniques to identify and localize molecules in densely populated areas and experimental conditions of sample preparation and image acquisition. We have developed a robust, model-free, quantitative clustering analysis to determine the distribution of membrane molecules that excels in densely labeled areas and is tolerant to various experimental conditions, i.e. multiple-blinking or high blinking rates. The method is based on a TIRF microscope followed by a super-resolution optical fluctuation imaging (SOFI) analysis. The effectiveness and robustness of the method is validated using simulated and experimental data investigating nanoscale distribution of CD4 glycoprotein mutants in the plasma membrane of T cells.
Workplace	J. Heyrovsky Institute of Physical Chemistry
Contact	Michaela Knapová, michaela.knapova@jh-inst.cas.cz, Tel.: 266 053 196
Year of Publishing	2018

Number of the records: 1