Statistical analysis of scanning fluorescence correlation spectroscopy data differentiates free from hindered diffusion

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 neces...

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Main Authors: Schneider, F, Waithe, D, Lagerholm, B, Shrestha, D, Sezgin, E, Eggeling, C, Fritzsche, M
Format: Journal article
Language:English
Published: American Chemical Society 2018
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author Schneider, F
Waithe, D
Lagerholm, B
Shrestha, D
Sezgin, E
Eggeling, C
Fritzsche, M
author_facet Schneider, F
Waithe, D
Lagerholm, B
Shrestha, D
Sezgin, E
Eggeling, C
Fritzsche, M
author_sort Schneider, F
collection OXFORD
description 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 oxford-uuid:24c95c31-98a5-4d9d-8f3f-f5649c37a9762022-03-26T11:52:01ZStatistical analysis of scanning fluorescence correlation spectroscopy data differentiates free from hindered diffusionJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:24c95c31-98a5-4d9d-8f3f-f5649c37a976EnglishSymplectic Elements at OxfordAmerican Chemical Society2018Schneider, FWaithe, DLagerholm, BShrestha, DSezgin, EEggeling, CFritzsche, MCells 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.
spellingShingle Schneider, F
Waithe, D
Lagerholm, B
Shrestha, D
Sezgin, E
Eggeling, C
Fritzsche, M
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
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