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Steady-state cross-correlations for live two-colour super-resolution localization data sets
Cross-correlation of super-resolution images gathered from point localizations allows for robust quantification of protein co-distributions in chemically fixed cells. Here this is extended to dynamic systems through an analysis that quantifies the steady-state cross-correlation between spectrally di...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Pub. Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4467025/ https://www.ncbi.nlm.nih.gov/pubmed/26066572 http://dx.doi.org/10.1038/ncomms8347 |
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author | Stone, Matthew B. Veatch, Sarah L. |
author_facet | Stone, Matthew B. Veatch, Sarah L. |
author_sort | Stone, Matthew B. |
collection | PubMed |
description | Cross-correlation of super-resolution images gathered from point localizations allows for robust quantification of protein co-distributions in chemically fixed cells. Here this is extended to dynamic systems through an analysis that quantifies the steady-state cross-correlation between spectrally distinguishable probes. This methodology is used to quantify the co-distribution of several mobile membrane proteins in both vesicles and live cells, including Lyn kinase and the B-cell receptor during antigen stimulation. |
format | Online Article Text |
id | pubmed-4467025 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Pub. Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-44670252015-07-13 Steady-state cross-correlations for live two-colour super-resolution localization data sets Stone, Matthew B. Veatch, Sarah L. Nat Commun Article Cross-correlation of super-resolution images gathered from point localizations allows for robust quantification of protein co-distributions in chemically fixed cells. Here this is extended to dynamic systems through an analysis that quantifies the steady-state cross-correlation between spectrally distinguishable probes. This methodology is used to quantify the co-distribution of several mobile membrane proteins in both vesicles and live cells, including Lyn kinase and the B-cell receptor during antigen stimulation. Nature Pub. Group 2015-06-12 /pmc/articles/PMC4467025/ /pubmed/26066572 http://dx.doi.org/10.1038/ncomms8347 Text en Copyright © 2015, Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved. http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Stone, Matthew B. Veatch, Sarah L. Steady-state cross-correlations for live two-colour super-resolution localization data sets |
title | Steady-state cross-correlations for live two-colour super-resolution localization data sets |
title_full | Steady-state cross-correlations for live two-colour super-resolution localization data sets |
title_fullStr | Steady-state cross-correlations for live two-colour super-resolution localization data sets |
title_full_unstemmed | Steady-state cross-correlations for live two-colour super-resolution localization data sets |
title_short | Steady-state cross-correlations for live two-colour super-resolution localization data sets |
title_sort | steady-state cross-correlations for live two-colour super-resolution localization data sets |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4467025/ https://www.ncbi.nlm.nih.gov/pubmed/26066572 http://dx.doi.org/10.1038/ncomms8347 |
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