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Simultaneous visualization of DNA loci in single cells by combinatorial multi-color iFISH
Single-molecule DNA fluorescence in situ hybridization (FISH) techniques enable studying the three-dimensional (3D) organization of the genome at the single cell level. However, there is a major unmet need for open access, high quality, curated and reproducible DNA FISH datasets. Here, we describe a...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8831585/ https://www.ncbi.nlm.nih.gov/pubmed/35145120 http://dx.doi.org/10.1038/s41597-022-01139-2 |
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author | Mota, Ana Schweitzer, Maud Wernersson, Erik Crosetto, Nicola Bienko, Magda |
author_facet | Mota, Ana Schweitzer, Maud Wernersson, Erik Crosetto, Nicola Bienko, Magda |
author_sort | Mota, Ana |
collection | PubMed |
description | Single-molecule DNA fluorescence in situ hybridization (FISH) techniques enable studying the three-dimensional (3D) organization of the genome at the single cell level. However, there is a major unmet need for open access, high quality, curated and reproducible DNA FISH datasets. Here, we describe a dataset obtained by applying our recently developed iFISH method to simultaneously visualize 16 small (size range: 62–73 kilobases, kb) DNA loci evenly spaced on chromosome 2 in human cells, in a single round of hybridization. We show how combinatorial color coding can be used to precisely localize multiple loci in 3D within single cells, and how inter-locus distances scale inversely with chromosome contact frequencies determined by high-throughput chromosome conformation capture (Hi-C). We provide raw images and 3D coordinates for nearly 10,000 FISH dots. Our dataset provides a free resource that can facilitate studies of 3D genome organization in single cells and can be used to develop automatic FISH analysis algorithms. |
format | Online Article Text |
id | pubmed-8831585 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-88315852022-02-24 Simultaneous visualization of DNA loci in single cells by combinatorial multi-color iFISH Mota, Ana Schweitzer, Maud Wernersson, Erik Crosetto, Nicola Bienko, Magda Sci Data Data Descriptor Single-molecule DNA fluorescence in situ hybridization (FISH) techniques enable studying the three-dimensional (3D) organization of the genome at the single cell level. However, there is a major unmet need for open access, high quality, curated and reproducible DNA FISH datasets. Here, we describe a dataset obtained by applying our recently developed iFISH method to simultaneously visualize 16 small (size range: 62–73 kilobases, kb) DNA loci evenly spaced on chromosome 2 in human cells, in a single round of hybridization. We show how combinatorial color coding can be used to precisely localize multiple loci in 3D within single cells, and how inter-locus distances scale inversely with chromosome contact frequencies determined by high-throughput chromosome conformation capture (Hi-C). We provide raw images and 3D coordinates for nearly 10,000 FISH dots. Our dataset provides a free resource that can facilitate studies of 3D genome organization in single cells and can be used to develop automatic FISH analysis algorithms. Nature Publishing Group UK 2022-02-10 /pmc/articles/PMC8831585/ /pubmed/35145120 http://dx.doi.org/10.1038/s41597-022-01139-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Mota, Ana Schweitzer, Maud Wernersson, Erik Crosetto, Nicola Bienko, Magda Simultaneous visualization of DNA loci in single cells by combinatorial multi-color iFISH |
title | Simultaneous visualization of DNA loci in single cells by combinatorial multi-color iFISH |
title_full | Simultaneous visualization of DNA loci in single cells by combinatorial multi-color iFISH |
title_fullStr | Simultaneous visualization of DNA loci in single cells by combinatorial multi-color iFISH |
title_full_unstemmed | Simultaneous visualization of DNA loci in single cells by combinatorial multi-color iFISH |
title_short | Simultaneous visualization of DNA loci in single cells by combinatorial multi-color iFISH |
title_sort | simultaneous visualization of dna loci in single cells by combinatorial multi-color ifish |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8831585/ https://www.ncbi.nlm.nih.gov/pubmed/35145120 http://dx.doi.org/10.1038/s41597-022-01139-2 |
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