Quantifying protein densities on cell membranes using super-resolution optical fluctuation imaging
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61388955%3A_____%2F17%3A00482642" target="_blank" >RIV/61388955:_____/17:00482642 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/68378050:_____/17:00482642 RIV/68407700:21230/17:00315471
Výsledek na webu
<a href="http://dx.doi.org/10.1038/s41467-017-01857-x" target="_blank" >http://dx.doi.org/10.1038/s41467-017-01857-x</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1038/s41467-017-01857-x" target="_blank" >10.1038/s41467-017-01857-x</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Quantifying protein densities on cell membranes using super-resolution optical fluctuation imaging
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Quantifying protein densities on cell membranes using super-resolution optical fluctuation imaging
Popis výsledku anglicky
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.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10608 - Biochemistry and molecular biology
Návaznosti výsledku
Projekt
<a href="/cs/project/GA15-06989S" target="_blank" >GA15-06989S: Nanoskopická organizace a funkce koreceptoru CD4 na povrchu T buněk</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2017
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Nature Communications
ISSN
2041-1723
e-ISSN
—
Svazek periodika
8
Číslo periodika v rámci svazku
1
Stát vydavatele periodika
GB - Spojené království Velké Británie a Severního Irska
Počet stran výsledku
7
Strana od-do
—
Kód UT WoS článku
000416229300017
EID výsledku v databázi Scopus
2-s2.0-85035071940