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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American
Chemical Society
2018
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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. |
format | Online Article Text |
id | pubmed-6117752 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | American
Chemical Society |
record_format | MEDLINE/PubMed |
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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