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Statistical Analysis of Scanning Fluorescence Correlation Spectroscopy Data Differentiates Free from Hindered Diffusion

[Image: see text] Cells rely on versatile diffusion dynamics in their plasma membrane. Quantification of this often heterogeneous diffusion is essential to the understanding of cell regulation and function. Yet such measurements remain a major challenge in cell biology, usually due to low sampling t...

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Autores principales: Schneider, Falk, Waithe, Dominic, Lagerholm, B. Christoffer, Shrestha, Dilip, Sezgin, Erdinc, Eggeling, Christian, Fritzsche, Marco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2018
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6117752/
https://www.ncbi.nlm.nih.gov/pubmed/30028588
http://dx.doi.org/10.1021/acsnano.8b04080
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author Schneider, Falk
Waithe, Dominic
Lagerholm, B. Christoffer
Shrestha, Dilip
Sezgin, Erdinc
Eggeling, Christian
Fritzsche, Marco
author_facet Schneider, Falk
Waithe, Dominic
Lagerholm, B. Christoffer
Shrestha, Dilip
Sezgin, Erdinc
Eggeling, Christian
Fritzsche, Marco
author_sort Schneider, Falk
collection PubMed
description [Image: see text] Cells rely on versatile diffusion dynamics in their plasma membrane. Quantification of this often heterogeneous diffusion is essential to the understanding of cell regulation and function. Yet such measurements remain a major challenge in cell biology, usually due to low sampling throughput, a necessity for dedicated equipment, sophisticated fluorescent label strategies, and limited sensitivity. Here, we introduce a robust, broadly applicable statistical analysis pipeline for large scanning fluorescence correlation spectroscopy data sets, which uncovers the nanoscale heterogeneity of the plasma membrane in living cells by differentiating free from hindered diffusion modes of fluorescent lipid and protein analogues.
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spelling pubmed-61177522018-09-04 Statistical Analysis of Scanning Fluorescence Correlation Spectroscopy Data Differentiates Free from Hindered Diffusion Schneider, Falk Waithe, Dominic Lagerholm, B. Christoffer Shrestha, Dilip Sezgin, Erdinc Eggeling, Christian Fritzsche, Marco ACS Nano [Image: see text] Cells rely on versatile diffusion dynamics in their plasma membrane. Quantification of this often heterogeneous diffusion is essential to the understanding of cell regulation and function. Yet such measurements remain a major challenge in cell biology, usually due to low sampling throughput, a necessity for dedicated equipment, sophisticated fluorescent label strategies, and limited sensitivity. Here, we introduce a robust, broadly applicable statistical analysis pipeline for large scanning fluorescence correlation spectroscopy data sets, which uncovers the nanoscale heterogeneity of the plasma membrane in living cells by differentiating free from hindered diffusion modes of fluorescent lipid and protein analogues. American Chemical Society 2018-07-20 2018-08-28 /pmc/articles/PMC6117752/ /pubmed/30028588 http://dx.doi.org/10.1021/acsnano.8b04080 Text en Copyright © 2018 American Chemical Society This is an open access article published under a Creative Commons Attribution (CC-BY) License (http://pubs.acs.org/page/policy/authorchoice_ccby_termsofuse.html) , which permits unrestricted use, distribution and reproduction in any medium, provided the author and source are cited.
spellingShingle Schneider, Falk
Waithe, Dominic
Lagerholm, B. Christoffer
Shrestha, Dilip
Sezgin, Erdinc
Eggeling, Christian
Fritzsche, Marco
Statistical Analysis of Scanning Fluorescence Correlation Spectroscopy Data Differentiates Free from Hindered Diffusion
title Statistical Analysis of Scanning Fluorescence Correlation Spectroscopy Data Differentiates Free from Hindered Diffusion
title_full Statistical Analysis of Scanning Fluorescence Correlation Spectroscopy Data Differentiates Free from Hindered Diffusion
title_fullStr Statistical Analysis of Scanning Fluorescence Correlation Spectroscopy Data Differentiates Free from Hindered Diffusion
title_full_unstemmed Statistical Analysis of Scanning Fluorescence Correlation Spectroscopy Data Differentiates Free from Hindered Diffusion
title_short Statistical Analysis of Scanning Fluorescence Correlation Spectroscopy Data Differentiates Free from Hindered Diffusion
title_sort statistical analysis of scanning fluorescence correlation spectroscopy data differentiates free from hindered diffusion
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6117752/
https://www.ncbi.nlm.nih.gov/pubmed/30028588
http://dx.doi.org/10.1021/acsnano.8b04080
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