Time-shifted mean-segmented Q data of a luminal protein measured at the nuclear envelope by fluorescence fluctuation microscopy.
Fluorescence fluctuation spectroscopy
Nuclear envelope
Protein assembly
Protein mobility
Two-photon microscopy
Journal
Data in brief
ISSN: 2352-3409
Titre abrégé: Data Brief
Pays: Netherlands
ID NLM: 101654995
Informations de publication
Date de publication:
Feb 2020
Feb 2020
Historique:
received:
25
10
2019
revised:
25
11
2019
accepted:
05
12
2019
entrez:
1
4
2020
pubmed:
1
4
2020
medline:
1
4
2020
Statut:
epublish
Résumé
Fluorescence fluctuation microscopy is a widely used method to determine the mobility and oligomeric state of proteins in the live cell environment. Existing analysis methods rely on statistical evaluation of data segments with the implicit assumption that no significant signal fluctuations occur on the time scale of a data segment. Recent work on extending fluorescence fluctuation methods to the nuclear envelope of living cells identified a slow fluctuation process that is associated with the undulations of the nuclear membranes, which lead to intensity fluctuations due to local volume changes at the nuclear envelope. This environment violates the above-mentioned assumption and is associated with biased evaluation of fluorescence fluctuation data by traditional analysis methods, such as the autocorrelation function. This challenge was overcome by the introduction of the time-shifted mean-segmented
Identifiants
pubmed: 32226805
doi: 10.1016/j.dib.2019.105005
pii: S2352-3409(19)31361-7
pii: 105005
pmc: PMC7093802
doi:
Types de publication
Journal Article
Langues
eng
Pagination
105005Subventions
Organisme : NIGMS NIH HHS
ID : R01 GM064589
Pays : United States
Informations de copyright
© 2019 The Authors.
Références
Proc Natl Acad Sci U S A. 2004 Jan 20;101(3):847-52
pubmed: 14711988
Mol Biol Cell. 2018 May 1;29(9):1003-1011
pubmed: 29514929
Methods. 2019 Mar 15;157:28-41
pubmed: 30268407
Biophys J. 2015 Jun 2;108(11):2648-57
pubmed: 26039166
Biophys J. 2017 Jul 11;113(1):138-147
pubmed: 28700912
Methods Mol Biol. 2018;1840:121-135
pubmed: 30141043