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Automated segmentation and quantitative analysis of organelle morphology, localization and content using CellProfiler

One of the most used and versatile methods to study number, dimensions, content and localization of secretory organelles is confocal microscopy analysis. However, considerable heterogeneity exists in the number, size and shape of secretory organelles that can be present in the cell. One thus needs t...

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Autores principales: Laan, Sebastiaan N. J., Dirven, Richard J., Bürgisser, Petra E., Eikenboom, Jeroen, Bierings, Ruben
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10266606/
https://www.ncbi.nlm.nih.gov/pubmed/37315066
http://dx.doi.org/10.1371/journal.pone.0278009
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author Laan, Sebastiaan N. J.
Dirven, Richard J.
Bürgisser, Petra E.
Eikenboom, Jeroen
Bierings, Ruben
author_facet Laan, Sebastiaan N. J.
Dirven, Richard J.
Bürgisser, Petra E.
Eikenboom, Jeroen
Bierings, Ruben
author_sort Laan, Sebastiaan N. J.
collection PubMed
description One of the most used and versatile methods to study number, dimensions, content and localization of secretory organelles is confocal microscopy analysis. However, considerable heterogeneity exists in the number, size and shape of secretory organelles that can be present in the cell. One thus needs to analyze large numbers of organelles for valid quantification. Properly evaluating these parameters requires an automated, unbiased method to process and quantitatively analyze microscopy data. Here, we describe two pipelines, run by CellProfiler software, called OrganelleProfiler and OrganelleContentProfiler. These pipelines were used on confocal images of endothelial colony forming cells (ECFCs), which contain unique secretory organelles called Weibel-Palade bodies (WPBs), and on early endosomes in ECFCs and human embryonic kidney 293T (HEK293T) cells. Results show that the pipelines can quantify the cell count, size, organelle count, organelle size, shape, relation to cells and nuclei, and distance to these objects in both endothelial and HEK293T cells. Additionally, the pipelines were used to measure the reduction in WPB size after disruption of the Golgi and to quantify the perinuclear clustering of WPBs after triggering of cAMP-mediated signaling pathways in ECFCs. Furthermore, the pipeline is able to quantify secondary signals located in or on the organelle or in the cytoplasm, such as the small WPB GTPase Rab27A. Cell profiler measurements were checked for validity using Fiji. To conclude, these pipelines provide a powerful, high-processing quantitative tool for the characterization of multiple cell and organelle types. These pipelines are freely available and easily editable for use on different cell types or organelles.
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spelling pubmed-102666062023-06-15 Automated segmentation and quantitative analysis of organelle morphology, localization and content using CellProfiler Laan, Sebastiaan N. J. Dirven, Richard J. Bürgisser, Petra E. Eikenboom, Jeroen Bierings, Ruben PLoS One Research Article One of the most used and versatile methods to study number, dimensions, content and localization of secretory organelles is confocal microscopy analysis. However, considerable heterogeneity exists in the number, size and shape of secretory organelles that can be present in the cell. One thus needs to analyze large numbers of organelles for valid quantification. Properly evaluating these parameters requires an automated, unbiased method to process and quantitatively analyze microscopy data. Here, we describe two pipelines, run by CellProfiler software, called OrganelleProfiler and OrganelleContentProfiler. These pipelines were used on confocal images of endothelial colony forming cells (ECFCs), which contain unique secretory organelles called Weibel-Palade bodies (WPBs), and on early endosomes in ECFCs and human embryonic kidney 293T (HEK293T) cells. Results show that the pipelines can quantify the cell count, size, organelle count, organelle size, shape, relation to cells and nuclei, and distance to these objects in both endothelial and HEK293T cells. Additionally, the pipelines were used to measure the reduction in WPB size after disruption of the Golgi and to quantify the perinuclear clustering of WPBs after triggering of cAMP-mediated signaling pathways in ECFCs. Furthermore, the pipeline is able to quantify secondary signals located in or on the organelle or in the cytoplasm, such as the small WPB GTPase Rab27A. Cell profiler measurements were checked for validity using Fiji. To conclude, these pipelines provide a powerful, high-processing quantitative tool for the characterization of multiple cell and organelle types. These pipelines are freely available and easily editable for use on different cell types or organelles. Public Library of Science 2023-06-14 /pmc/articles/PMC10266606/ /pubmed/37315066 http://dx.doi.org/10.1371/journal.pone.0278009 Text en © 2023 Laan et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Laan, Sebastiaan N. J.
Dirven, Richard J.
Bürgisser, Petra E.
Eikenboom, Jeroen
Bierings, Ruben
Automated segmentation and quantitative analysis of organelle morphology, localization and content using CellProfiler
title Automated segmentation and quantitative analysis of organelle morphology, localization and content using CellProfiler
title_full Automated segmentation and quantitative analysis of organelle morphology, localization and content using CellProfiler
title_fullStr Automated segmentation and quantitative analysis of organelle morphology, localization and content using CellProfiler
title_full_unstemmed Automated segmentation and quantitative analysis of organelle morphology, localization and content using CellProfiler
title_short Automated segmentation and quantitative analysis of organelle morphology, localization and content using CellProfiler
title_sort automated segmentation and quantitative analysis of organelle morphology, localization and content using cellprofiler
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10266606/
https://www.ncbi.nlm.nih.gov/pubmed/37315066
http://dx.doi.org/10.1371/journal.pone.0278009
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