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  Image analysis workflows to reveal the spatial organization of cell nuclei and chromosomes

Randall, R. S., Jourdain, C., Nowicka, A., Kaduchová, K., Kubová, M., Ayoub, M. A., et al. (2022). Image analysis workflows to reveal the spatial organization of cell nuclei and chromosomes. Nucleus, 13(1), 279-301. doi:10.1080/19491034.2022.2144013.

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NUCLEUS_Randall_2022.pdf (Publisher version), 8MB
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NUCLEUS_Randall_2022.pdf
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 Creators:
Randall, Ricardo S. , Author
Jourdain, Claire1, Author                 
Nowicka, Anna, Author
Kaduchová, Kateřina , Author
Kubová, Michaela , Author
Ayoub, Mohammad A. , Author
Schubert, Veit, Author
Tatout, Christophe , Author
Colas, Isabelle , Author
Kalyanikrishna, Author
Desset, Sophie , Author
Mermet, Sarah , Author
Boulaflous-Stevens, Aurélia, Author
Kubalová, Ivona , Author
Mandáková, Terezie , Author
Heckmann, Stefan , Author
Lysak, Martin A. , Author
Panatta, Martina, Author
Santoro, Raffaella , Author
Schubert, Daniel, Author
Pecinka, Ales , AuthorRouth, Devin , AuthorBaroux, Célia , Author more..
Affiliations:
1IMPRS for Biology and Computation (Anne-Dominique Gindrat), Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1479666              

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Free keywords: 3D organization; Nucleus; RNA Pol II; SIM; STED imaging; chromatin; chromosome; crossovers; image analysis; meiosis; metaphase; mitosis; nuclear bodies; nuclear speckles; oligo FISH; pachytene; quantification; segmentation; spatial distribution; transcription factories
 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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Language(s): eng - English
 Dates: 2022-10-312022-11-29
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1080/19491034.2022.2144013
PMID: 36447428
PMC: PMC9754023
 Degree: -

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Title: Nucleus
Source Genre: Journal
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Publ. Info: London : Taylor & Francis
Pages: - Volume / Issue: 13 (1) Sequence Number: - Start / End Page: 279 - 301 Identifier: ISSN: 1949-1034 (print) 1949-1042 (online)