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Technologies and applications of single-cell DNA methylation sequencing
DNA methylation is the most stable epigenetic modification. In mammals, it usually occurs at the cytosine of CpG dinucleotides. DNA methylation is essential for many physiological and pathological processes. Aberrant DNA methylation has been observed in human diseases, particularly cancer. Notably,...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Ivyspring International Publisher
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10196823/ https://www.ncbi.nlm.nih.gov/pubmed/37215576 http://dx.doi.org/10.7150/thno.82582 |
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author | Liu, Fang Wang, Yunfei Gu, Hongcang Wang, Xiaoxue |
author_facet | Liu, Fang Wang, Yunfei Gu, Hongcang Wang, Xiaoxue |
author_sort | Liu, Fang |
collection | PubMed |
description | DNA methylation is the most stable epigenetic modification. In mammals, it usually occurs at the cytosine of CpG dinucleotides. DNA methylation is essential for many physiological and pathological processes. Aberrant DNA methylation has been observed in human diseases, particularly cancer. Notably, conventional DNA methylation profiling technologies require a large amount of DNA, often from a heterogeneous cell population, and provide an average methylation level of many cells. It is often not realistic to collect sufficient numbers of cells, such as rare cells and circulating tumor cells in peripheral blood, for bulk sequencing assays. It is therefore essential to develop sequencing technologies that can accurately profile DNA methylation using small numbers of cells or even single cells. Excitingly, many single-cell DNA methylation sequencing and single-cell omics sequencing technologies have been developed, and applications of these methods have greatly expanded our understanding of the molecular mechanism of DNA methylation. Here, we summaries single-cell DNA methylation and multi-omics sequencing methods, delineate their applications in biomedical sciences, discuss technical challenges, and present our perspective on future research directions. |
format | Online Article Text |
id | pubmed-10196823 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Ivyspring International Publisher |
record_format | MEDLINE/PubMed |
spelling | pubmed-101968232023-05-20 Technologies and applications of single-cell DNA methylation sequencing Liu, Fang Wang, Yunfei Gu, Hongcang Wang, Xiaoxue Theranostics Review DNA methylation is the most stable epigenetic modification. In mammals, it usually occurs at the cytosine of CpG dinucleotides. DNA methylation is essential for many physiological and pathological processes. Aberrant DNA methylation has been observed in human diseases, particularly cancer. Notably, conventional DNA methylation profiling technologies require a large amount of DNA, often from a heterogeneous cell population, and provide an average methylation level of many cells. It is often not realistic to collect sufficient numbers of cells, such as rare cells and circulating tumor cells in peripheral blood, for bulk sequencing assays. It is therefore essential to develop sequencing technologies that can accurately profile DNA methylation using small numbers of cells or even single cells. Excitingly, many single-cell DNA methylation sequencing and single-cell omics sequencing technologies have been developed, and applications of these methods have greatly expanded our understanding of the molecular mechanism of DNA methylation. Here, we summaries single-cell DNA methylation and multi-omics sequencing methods, delineate their applications in biomedical sciences, discuss technical challenges, and present our perspective on future research directions. Ivyspring International Publisher 2023-04-23 /pmc/articles/PMC10196823/ /pubmed/37215576 http://dx.doi.org/10.7150/thno.82582 Text en © The author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions. |
spellingShingle | Review Liu, Fang Wang, Yunfei Gu, Hongcang Wang, Xiaoxue Technologies and applications of single-cell DNA methylation sequencing |
title | Technologies and applications of single-cell DNA methylation sequencing |
title_full | Technologies and applications of single-cell DNA methylation sequencing |
title_fullStr | Technologies and applications of single-cell DNA methylation sequencing |
title_full_unstemmed | Technologies and applications of single-cell DNA methylation sequencing |
title_short | Technologies and applications of single-cell DNA methylation sequencing |
title_sort | technologies and applications of single-cell dna methylation sequencing |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10196823/ https://www.ncbi.nlm.nih.gov/pubmed/37215576 http://dx.doi.org/10.7150/thno.82582 |
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