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Image analysis workflows to reveal the spatial organization of cell nuclei and chromosomes.
Randall, Ricardo S; Jourdain, Claire; Nowicka, Anna; Kaduchová, Katerina; Kubová, Michaela; Ayoub, Mohammad A; Schubert, Veit; Tatout, Christophe; Colas, Isabelle; 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.
Afiliação
  • Randall RS; Department of Plant and Microbial Biology, Zürich-Basel Plant Science Center, University of Zürich, Zürich, Switzerland.
  • Jourdain C; Institute of Biology, Freie Universität Berlin, Germany.
  • Nowicka A; Centre of the Region Haná for Biotechnological and Agricultural Research (CRH), Institute of Experimental Botany, v. v. i. (IEB), Olomouc, Czech Republic.
  • Kaduchová K; Centre of the Region Haná for Biotechnological and Agricultural Research (CRH), Institute of Experimental Botany, v. v. i. (IEB), Olomouc, Czech Republic.
  • Kubová M; Central European Institute of Technology (CEITEC) and Department of Experimental Biology, Masaryk University, Brno, Czech Republic.
  • Ayoub MA; Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, D-06466 Seeland, Germany.
  • Schubert V; Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, D-06466 Seeland, Germany.
  • Tatout C; Institut Génétique, Reproduction et Développement (GReD), Université Clermont Auvergne, CNRS, INSERM, 63001 Clermont-Ferrand, France.
  • Colas I; The James Hutton Institute, Errol Road, Invergowrie, DD2 5DA, Scotland UK.
  • Kalyanikrishna; Institute of Biology, Freie Universität Berlin, Germany.
  • Desset S; Institut Génétique, Reproduction et Développement (GReD), Université Clermont Auvergne, CNRS, INSERM, 63001 Clermont-Ferrand, France.
  • Mermet S; Institut Génétique, Reproduction et Développement (GReD), Université Clermont Auvergne, CNRS, INSERM, 63001 Clermont-Ferrand, France.
  • Boulaflous-Stevens A; Institut Génétique, Reproduction et Développement (GReD), Université Clermont Auvergne, CNRS, INSERM, 63001 Clermont-Ferrand, France.
  • Kubalová I; Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, D-06466 Seeland, Germany.
  • Mandáková T; Central European Institute of Technology (CEITEC) and Department of Experimental Biology, Masaryk University, Brno, Czech Republic.
  • Heckmann S; Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, D-06466 Seeland, Germany.
  • Lysak MA; Central European Institute of Technology (CEITEC) and National Centre for Biomolecular Research, Masaryk University, Brno, Czech Republic.
  • Panatta M; Department of Molecular Mechanisms of Disease, DMMD, University of Zürich, Zürich, Switzerland.
  • Santoro R; Department of Molecular Mechanisms of Disease, DMMD, University of Zürich, Zürich, Switzerland.
  • Schubert D; Institute of Biology, Freie Universität Berlin, Germany.
  • Pecinka A; Centre of the Region Haná for Biotechnological and Agricultural Research (CRH), Institute of Experimental Botany, v. v. i. (IEB), Olomouc, Czech Republic.
  • Routh D; Service and Support for Science IT (S3IT), Universität Zürich, Zürich, Switzerland.
  • Baroux C; Department of Plant and Microbial Biology, Zürich-Basel Plant Science Center, University of Zürich, Zürich, Switzerland.
Nucleus ; 13(1): 277-299, 2022 12.
Article em En | MEDLINE | ID: mdl-36447428
ABSTRACT
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Cromatina / Núcleo Celular Tipo de estudo: Prognostic_studies / Qualitative_research Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Cromatina / Núcleo Celular Tipo de estudo: Prognostic_studies / Qualitative_research Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article