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3C and 3C-based techniques: the powerful tools for spatial genome organization deciphering
It is well known that the chromosomes are organized in the nucleus and this spatial arrangement of genome play a crucial role in gene regulation and genome stability. Different techniques have been developed and applied to uncover the intrinsic mechanism of genome architecture, especially the chromo...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5845197/ https://www.ncbi.nlm.nih.gov/pubmed/29541161 http://dx.doi.org/10.1186/s13039-018-0368-2 |
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author | Han, Jinlei Zhang, Zhiliang Wang, Kai |
author_facet | Han, Jinlei Zhang, Zhiliang Wang, Kai |
author_sort | Han, Jinlei |
collection | PubMed |
description | It is well known that the chromosomes are organized in the nucleus and this spatial arrangement of genome play a crucial role in gene regulation and genome stability. Different techniques have been developed and applied to uncover the intrinsic mechanism of genome architecture, especially the chromosome conformation capture (3C) and 3C-derived methods. 3C and 3C-derived techniques provide us approaches to perform high-throughput chromatin architecture assays at the genome scale. However, the advantage and disadvantage of current methodologies of C-technologies have not been discussed extensively. In this review, we described and compared the methodologies of C-technologies used in genome organization studies with an emphasis on Hi-C method. We also discussed the crucial challenges facing current genome architecture studies based on 3C and 3C-derived technologies and the direction of future technologies to address currently outstanding questions in the field. These latest news contribute to our current understanding of genome structure, and provide a comprehensive reference for researchers to choose the appropriate method in future application. We consider that these constantly improving technologies will offer a finer and more accurate contact profiles of entire genome and ultimately reveal specific molecular machines govern its shape and function. |
format | Online Article Text |
id | pubmed-5845197 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-58451972018-03-14 3C and 3C-based techniques: the powerful tools for spatial genome organization deciphering Han, Jinlei Zhang, Zhiliang Wang, Kai Mol Cytogenet Review It is well known that the chromosomes are organized in the nucleus and this spatial arrangement of genome play a crucial role in gene regulation and genome stability. Different techniques have been developed and applied to uncover the intrinsic mechanism of genome architecture, especially the chromosome conformation capture (3C) and 3C-derived methods. 3C and 3C-derived techniques provide us approaches to perform high-throughput chromatin architecture assays at the genome scale. However, the advantage and disadvantage of current methodologies of C-technologies have not been discussed extensively. In this review, we described and compared the methodologies of C-technologies used in genome organization studies with an emphasis on Hi-C method. We also discussed the crucial challenges facing current genome architecture studies based on 3C and 3C-derived technologies and the direction of future technologies to address currently outstanding questions in the field. These latest news contribute to our current understanding of genome structure, and provide a comprehensive reference for researchers to choose the appropriate method in future application. We consider that these constantly improving technologies will offer a finer and more accurate contact profiles of entire genome and ultimately reveal specific molecular machines govern its shape and function. BioMed Central 2018-03-09 /pmc/articles/PMC5845197/ /pubmed/29541161 http://dx.doi.org/10.1186/s13039-018-0368-2 Text en © The Author(s). 2018 Open AccessThis 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. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Review Han, Jinlei Zhang, Zhiliang Wang, Kai 3C and 3C-based techniques: the powerful tools for spatial genome organization deciphering |
title | 3C and 3C-based techniques: the powerful tools for spatial genome organization deciphering |
title_full | 3C and 3C-based techniques: the powerful tools for spatial genome organization deciphering |
title_fullStr | 3C and 3C-based techniques: the powerful tools for spatial genome organization deciphering |
title_full_unstemmed | 3C and 3C-based techniques: the powerful tools for spatial genome organization deciphering |
title_short | 3C and 3C-based techniques: the powerful tools for spatial genome organization deciphering |
title_sort | 3c and 3c-based techniques: the powerful tools for spatial genome organization deciphering |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5845197/ https://www.ncbi.nlm.nih.gov/pubmed/29541161 http://dx.doi.org/10.1186/s13039-018-0368-2 |
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