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Image analysis workflows to reveal the spatial organization of cell nuclei and chromosomes
Nucleus, chromatin, and chromosome organization studies heavily rely on fluorescence microscopy imaging to elucidate the distribution and abundance of structural and regulatory components. Three-dimensional (3D) image stacks are a source of quantitative data on signal intensity level and distributio...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9754023/ https://www.ncbi.nlm.nih.gov/pubmed/36447428 http://dx.doi.org/10.1080/19491034.2022.2144013 |
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author | Randall, Ricardo S Jourdain, Claire Nowicka, Anna Kaduchová, Kateřina Kubová, Michaela Ayoub, Mohammad A. Schubert, Veit Tatout, Christophe Colas, Isabelle Kalyanikrishna, Desset, Sophie Mermet, Sarah Boulaflous-Stevens, Aurélia Kubalová, Ivona Mandáková, Terezie Heckmann, Stefan Lysak, Martin A. Panatta, Martina Santoro, Raffaella Schubert, Daniel Pecinka, Ales Routh, Devin Baroux, Célia |
author_facet | Randall, Ricardo S Jourdain, Claire Nowicka, Anna Kaduchová, Kateřina Kubová, Michaela Ayoub, Mohammad A. Schubert, Veit Tatout, Christophe Colas, Isabelle Kalyanikrishna, Desset, Sophie Mermet, Sarah Boulaflous-Stevens, Aurélia Kubalová, Ivona Mandáková, Terezie Heckmann, Stefan Lysak, Martin A. Panatta, Martina Santoro, Raffaella Schubert, Daniel Pecinka, Ales Routh, Devin Baroux, Célia |
author_sort | Randall, Ricardo S |
collection | PubMed |
description | Nucleus, chromatin, and chromosome organization studies heavily rely on fluorescence microscopy imaging to elucidate the distribution and abundance of structural and regulatory components. Three-dimensional (3D) image stacks are a source of quantitative data on signal intensity level and distribution and on the type and shape of distribution patterns in space. Their analysis can lead to novel insights that are otherwise missed in qualitative-only analyses. Quantitative image analysis requires specific software and workflows for image rendering, processing, segmentation, setting measurement points and reference frames and exporting target data before further numerical processing and plotting. These tasks often call for the development of customized computational scripts and require an expertise that is not broadly available to the community of experimental biologists. Yet, the increasing accessibility of high- and super-resolution imaging methods fuels the demand for user-friendly image analysis workflows. Here, we provide a compendium of strategies developed by participants of a training school from the COST action INDEPTH to analyze the spatial distribution of nuclear and chromosomal signals from 3D image stacks, acquired by diffraction-limited confocal microscopy and super-resolution microscopy methods (SIM and STED). While the examples make use of one specific commercial software package, the workflows can easily be adapted to concurrent commercial and open-source software. The aim is to encourage biologists lacking custom-script-based expertise to venture into quantitative image analysis and to better exploit the discovery potential of their images. Abbreviations: 3D FISH: three-dimensional fluorescence in situ hybridization; 3D: three-dimensional; ASY1: ASYNAPTIC 1; CC: chromocenters; CO: Crossover; DAPI: 4',6-diamidino-2-phenylindole; DMC1: DNA MEIOTIC RECOMBINASE 1; DSB: Double-Strand Break; FISH: fluorescence in situ hybridization; GFP: GREEN FLUORESCENT PROTEIN; HEI10: HUMAN ENHANCER OF INVASION 10; NCO: Non-Crossover; NE: Nuclear Envelope; Oligo-FISH: oligonucleotide fluorescence in situ hybridization; RNPII: RNA Polymerase II; SC: Synaptonemal Complex; SIM: structured illumination microscopy; ZMM (ZIP: MSH4: MSH5 and MER3 proteins); ZYP1: ZIPPER-LIKE PROTEIN 1. |
format | Online Article Text |
id | pubmed-9754023 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-97540232022-12-16 Image analysis workflows to reveal the spatial organization of cell nuclei and chromosomes Randall, Ricardo S Jourdain, Claire Nowicka, Anna Kaduchová, Kateřina Kubová, Michaela Ayoub, Mohammad A. Schubert, Veit Tatout, Christophe Colas, Isabelle Kalyanikrishna, Desset, Sophie Mermet, Sarah Boulaflous-Stevens, Aurélia Kubalová, Ivona Mandáková, Terezie Heckmann, Stefan Lysak, Martin A. Panatta, Martina Santoro, Raffaella Schubert, Daniel Pecinka, Ales Routh, Devin Baroux, Célia Nucleus Research Paper Nucleus, chromatin, and chromosome organization studies heavily rely on fluorescence microscopy imaging to elucidate the distribution and abundance of structural and regulatory components. Three-dimensional (3D) image stacks are a source of quantitative data on signal intensity level and distribution and on the type and shape of distribution patterns in space. Their analysis can lead to novel insights that are otherwise missed in qualitative-only analyses. Quantitative image analysis requires specific software and workflows for image rendering, processing, segmentation, setting measurement points and reference frames and exporting target data before further numerical processing and plotting. These tasks often call for the development of customized computational scripts and require an expertise that is not broadly available to the community of experimental biologists. Yet, the increasing accessibility of high- and super-resolution imaging methods fuels the demand for user-friendly image analysis workflows. Here, we provide a compendium of strategies developed by participants of a training school from the COST action INDEPTH to analyze the spatial distribution of nuclear and chromosomal signals from 3D image stacks, acquired by diffraction-limited confocal microscopy and super-resolution microscopy methods (SIM and STED). While the examples make use of one specific commercial software package, the workflows can easily be adapted to concurrent commercial and open-source software. The aim is to encourage biologists lacking custom-script-based expertise to venture into quantitative image analysis and to better exploit the discovery potential of their images. Abbreviations: 3D FISH: three-dimensional fluorescence in situ hybridization; 3D: three-dimensional; ASY1: ASYNAPTIC 1; CC: chromocenters; CO: Crossover; DAPI: 4',6-diamidino-2-phenylindole; DMC1: DNA MEIOTIC RECOMBINASE 1; DSB: Double-Strand Break; FISH: fluorescence in situ hybridization; GFP: GREEN FLUORESCENT PROTEIN; HEI10: HUMAN ENHANCER OF INVASION 10; NCO: Non-Crossover; NE: Nuclear Envelope; Oligo-FISH: oligonucleotide fluorescence in situ hybridization; RNPII: RNA Polymerase II; SC: Synaptonemal Complex; SIM: structured illumination microscopy; ZMM (ZIP: MSH4: MSH5 and MER3 proteins); ZYP1: ZIPPER-LIKE PROTEIN 1. Taylor & Francis 2022-11-29 /pmc/articles/PMC9754023/ /pubmed/36447428 http://dx.doi.org/10.1080/19491034.2022.2144013 Text en © 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Paper Randall, Ricardo S Jourdain, Claire Nowicka, Anna Kaduchová, Kateřina Kubová, Michaela Ayoub, Mohammad A. Schubert, Veit Tatout, Christophe Colas, Isabelle Kalyanikrishna, Desset, Sophie Mermet, Sarah Boulaflous-Stevens, Aurélia Kubalová, Ivona Mandáková, Terezie Heckmann, Stefan Lysak, Martin A. Panatta, Martina Santoro, Raffaella Schubert, Daniel Pecinka, Ales Routh, Devin Baroux, Célia Image analysis workflows to reveal the spatial organization of cell nuclei and chromosomes |
title | Image analysis workflows to reveal the spatial organization of cell nuclei and chromosomes |
title_full | Image analysis workflows to reveal the spatial organization of cell nuclei and chromosomes |
title_fullStr | Image analysis workflows to reveal the spatial organization of cell nuclei and chromosomes |
title_full_unstemmed | Image analysis workflows to reveal the spatial organization of cell nuclei and chromosomes |
title_short | Image analysis workflows to reveal the spatial organization of cell nuclei and chromosomes |
title_sort | image analysis workflows to reveal the spatial organization of cell nuclei and chromosomes |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9754023/ https://www.ncbi.nlm.nih.gov/pubmed/36447428 http://dx.doi.org/10.1080/19491034.2022.2144013 |
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