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Analysis of conditional colocalization relationships and hierarchies in three-color microscopy images
Colocalization analysis of multicolor microscopy images is a cornerstone approach in cell biology. It provides information on the localization of molecules within subcellular compartments and allows the interrogation of known molecular interactions in their cellular context. However, almost all colo...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Rockefeller University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9111757/ https://www.ncbi.nlm.nih.gov/pubmed/35552363 http://dx.doi.org/10.1083/jcb.202106129 |
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author | Vega-Lugo, Jesus da Rocha-Azevedo, Bruno Dasgupta, Aparajita Jaqaman, Khuloud |
author_facet | Vega-Lugo, Jesus da Rocha-Azevedo, Bruno Dasgupta, Aparajita Jaqaman, Khuloud |
author_sort | Vega-Lugo, Jesus |
collection | PubMed |
description | Colocalization analysis of multicolor microscopy images is a cornerstone approach in cell biology. It provides information on the localization of molecules within subcellular compartments and allows the interrogation of known molecular interactions in their cellular context. However, almost all colocalization analyses are designed for two-color images, limiting the type of information that they reveal. Here, we describe an approach, termed “conditional colocalization analysis,” for analyzing the colocalization relationships between three molecular entities in three-color microscopy images. Going beyond the question of whether colocalization is present or not, it addresses the question of whether the colocalization between two entities is influenced, positively or negatively, by their colocalization with a third entity. We benchmark the approach and showcase its application to investigate receptor-downstream adaptor colocalization relationships in the context of functionally relevant plasma membrane locations. The software for conditional colocalization analysis is available at https://github.com/kjaqaman/conditionalColoc. |
format | Online Article Text |
id | pubmed-9111757 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Rockefeller University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-91117572023-01-04 Analysis of conditional colocalization relationships and hierarchies in three-color microscopy images Vega-Lugo, Jesus da Rocha-Azevedo, Bruno Dasgupta, Aparajita Jaqaman, Khuloud J Cell Biol Tools Colocalization analysis of multicolor microscopy images is a cornerstone approach in cell biology. It provides information on the localization of molecules within subcellular compartments and allows the interrogation of known molecular interactions in their cellular context. However, almost all colocalization analyses are designed for two-color images, limiting the type of information that they reveal. Here, we describe an approach, termed “conditional colocalization analysis,” for analyzing the colocalization relationships between three molecular entities in three-color microscopy images. Going beyond the question of whether colocalization is present or not, it addresses the question of whether the colocalization between two entities is influenced, positively or negatively, by their colocalization with a third entity. We benchmark the approach and showcase its application to investigate receptor-downstream adaptor colocalization relationships in the context of functionally relevant plasma membrane locations. The software for conditional colocalization analysis is available at https://github.com/kjaqaman/conditionalColoc. Rockefeller University Press 2022-05-13 /pmc/articles/PMC9111757/ /pubmed/35552363 http://dx.doi.org/10.1083/jcb.202106129 Text en © 2022 Vega-Lugo et al. https://creativecommons.org/licenses/by-nc-sa/4.0/http://www.rupress.org/terms/This article is distributed under the terms of an Attribution–Noncommercial–Share Alike–No Mirror Sites license for the first six months after the publication date (see http://www.rupress.org/terms/). After six months it is available under a Creative Commons License (Attribution–Noncommercial–Share Alike 4.0 International license, as described at https://creativecommons.org/licenses/by-nc-sa/4.0/). |
spellingShingle | Tools Vega-Lugo, Jesus da Rocha-Azevedo, Bruno Dasgupta, Aparajita Jaqaman, Khuloud Analysis of conditional colocalization relationships and hierarchies in three-color microscopy images |
title | Analysis of conditional colocalization relationships and hierarchies in three-color microscopy images |
title_full | Analysis of conditional colocalization relationships and hierarchies in three-color microscopy images |
title_fullStr | Analysis of conditional colocalization relationships and hierarchies in three-color microscopy images |
title_full_unstemmed | Analysis of conditional colocalization relationships and hierarchies in three-color microscopy images |
title_short | Analysis of conditional colocalization relationships and hierarchies in three-color microscopy images |
title_sort | analysis of conditional colocalization relationships and hierarchies in three-color microscopy images |
topic | Tools |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9111757/ https://www.ncbi.nlm.nih.gov/pubmed/35552363 http://dx.doi.org/10.1083/jcb.202106129 |
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