A novel computational framework for D(t) from Fluorescence Recovery after Photobleaching data reveals various anomalous diffusion types in live cell membranes.
Fluorescence Recovery After Photobleaching
analytic formula
anomalous diffusion
membrane proteins
quantitative analysis
time-dependent diffusion coefficients
Journal
Traffic (Copenhagen, Denmark)
ISSN: 1600-0854
Titre abrégé: Traffic
Pays: England
ID NLM: 100939340
Informations de publication
Date de publication:
11 2019
11 2019
Historique:
received:
21
10
2018
revised:
23
08
2019
accepted:
23
08
2019
pubmed:
28
8
2019
medline:
1
7
2020
entrez:
28
8
2019
Statut:
ppublish
Résumé
Diffusion of proteins and lipids in lipid membranes plays a pivotal role in almost all aspects of cellular biology, including motility, exo-/endocytosis and signal transduction. For this reason, gaining a detailed understanding of membrane structure and function has long been a major area of cell biology research. To better elucidate this structure-function relationship, various tools have been developed for diffusion measurements, including Fluorescence Recovery After Photobleaching (FRAP). Because of the complexity of cellular microenvironments, biological diffusion is often correlated over time and described by a time-dependent diffusion coefficient, D(t), although the underlying mechanisms are not fully understood. Since D(t) provides important information regarding cellular structures, such as the existence of subresolution barriers to diffusion, many efforts have been made to quantify D(t) by FRAP assuming a single power law, D(t) = Γt
Substances chimiques
Membrane Lipids
0
Membrane Proteins
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
867-880Informations de copyright
© 2019 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.
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