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

Result code in 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>
Alternative codes found
RIV/68378050:_____/17:00482642 RIV/68407700:21230/17:00315471
Result on the web
<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>

Result language
angličtina
Original language name
Quantifying protein densities on cell membranes using super-resolution optical fluctuation imaging
Original language description
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.
Czech name
—
Czech description
—

Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10608 - Biochemistry and molecular biology

Project
<a href="/en/project/GA15-06989S" target="_blank" >GA15-06989S: Organisation and function of CD4 co-receptor on the surface of T cells at nanoscale</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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