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Developing novel methods to image and visualize 3D genomes
To investigate three-dimensional (3D) genome organization in prokaryotic and eukaryotic cells, three main strategies are employed, namely nuclear proximity ligation-based methods, imaging tools (such as fluorescence in situ hybridization (FISH) and its derivatives), and computational/visualization m...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6133007/ https://www.ncbi.nlm.nih.gov/pubmed/29577183 http://dx.doi.org/10.1007/s10565-018-9427-z |
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author | Ma, Tszshan Chen, Long Shi, Maoxiang Niu, Jing Zhang, Xu Yang, Xusan Zhanghao, Karl Wang, Miaoyan Xi, Peng Jin, Dayong Zhang, Michael Gao, Juntao |
author_facet | Ma, Tszshan Chen, Long Shi, Maoxiang Niu, Jing Zhang, Xu Yang, Xusan Zhanghao, Karl Wang, Miaoyan Xi, Peng Jin, Dayong Zhang, Michael Gao, Juntao |
author_sort | Ma, Tszshan |
collection | PubMed |
description | To investigate three-dimensional (3D) genome organization in prokaryotic and eukaryotic cells, three main strategies are employed, namely nuclear proximity ligation-based methods, imaging tools (such as fluorescence in situ hybridization (FISH) and its derivatives), and computational/visualization methods. Proximity ligation-based methods are based on digestion and re-ligation of physically proximal cross-linked chromatin fragments accompanied by massively parallel DNA sequencing to measure the relative spatial proximity between genomic loci. Imaging tools enable direct visualization and quantification of spatial distances between genomic loci, and advanced implementation of (super-resolution) microscopy helps to significantly improve the resolution of images. Computational methods are used to map global 3D genome structures at various scales driven by experimental data, and visualization methods are used to visualize genome 3D structures in virtual 3D space-based on algorithms. In this review, we focus on the introduction of novel imaging and visualization methods to study 3D genomes. First, we introduce the progress made recently in 3D genome imaging in both fixed cell and live cells based on long-probe labeling, short-probe labeling, RNA FISH, and the CRISPR system. As the fluorescence-capturing capability of a particular microscope is very important for the sensitivity of bioimaging experiments, we also introduce two novel super-resolution microscopy methods, SDOM and low-power super-resolution STED, which have potential for time-lapse super-resolution live-cell imaging of chromatin. Finally, we review some software tools developed recently to visualize proximity ligation-based data. The imaging and visualization methods are complementary to each other, and all three strategies are not mutually exclusive. These methods provide powerful tools to explore the mechanisms of gene regulation and transcription in cell nuclei. |
format | Online Article Text |
id | pubmed-6133007 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-61330072018-09-18 Developing novel methods to image and visualize 3D genomes Ma, Tszshan Chen, Long Shi, Maoxiang Niu, Jing Zhang, Xu Yang, Xusan Zhanghao, Karl Wang, Miaoyan Xi, Peng Jin, Dayong Zhang, Michael Gao, Juntao Cell Biol Toxicol Review To investigate three-dimensional (3D) genome organization in prokaryotic and eukaryotic cells, three main strategies are employed, namely nuclear proximity ligation-based methods, imaging tools (such as fluorescence in situ hybridization (FISH) and its derivatives), and computational/visualization methods. Proximity ligation-based methods are based on digestion and re-ligation of physically proximal cross-linked chromatin fragments accompanied by massively parallel DNA sequencing to measure the relative spatial proximity between genomic loci. Imaging tools enable direct visualization and quantification of spatial distances between genomic loci, and advanced implementation of (super-resolution) microscopy helps to significantly improve the resolution of images. Computational methods are used to map global 3D genome structures at various scales driven by experimental data, and visualization methods are used to visualize genome 3D structures in virtual 3D space-based on algorithms. In this review, we focus on the introduction of novel imaging and visualization methods to study 3D genomes. First, we introduce the progress made recently in 3D genome imaging in both fixed cell and live cells based on long-probe labeling, short-probe labeling, RNA FISH, and the CRISPR system. As the fluorescence-capturing capability of a particular microscope is very important for the sensitivity of bioimaging experiments, we also introduce two novel super-resolution microscopy methods, SDOM and low-power super-resolution STED, which have potential for time-lapse super-resolution live-cell imaging of chromatin. Finally, we review some software tools developed recently to visualize proximity ligation-based data. The imaging and visualization methods are complementary to each other, and all three strategies are not mutually exclusive. These methods provide powerful tools to explore the mechanisms of gene regulation and transcription in cell nuclei. Springer Netherlands 2018-03-26 2018 /pmc/articles/PMC6133007/ /pubmed/29577183 http://dx.doi.org/10.1007/s10565-018-9427-z Text en © The Author(s) 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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. |
spellingShingle | Review Ma, Tszshan Chen, Long Shi, Maoxiang Niu, Jing Zhang, Xu Yang, Xusan Zhanghao, Karl Wang, Miaoyan Xi, Peng Jin, Dayong Zhang, Michael Gao, Juntao Developing novel methods to image and visualize 3D genomes |
title | Developing novel methods to image and visualize 3D genomes |
title_full | Developing novel methods to image and visualize 3D genomes |
title_fullStr | Developing novel methods to image and visualize 3D genomes |
title_full_unstemmed | Developing novel methods to image and visualize 3D genomes |
title_short | Developing novel methods to image and visualize 3D genomes |
title_sort | developing novel methods to image and visualize 3d genomes |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6133007/ https://www.ncbi.nlm.nih.gov/pubmed/29577183 http://dx.doi.org/10.1007/s10565-018-9427-z |
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