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Application of long-read sequencing to the detection of structural variants in human cancer genomes
In recent years, the so-called long-read sequencing technology has had a substantial impact on various aspects of genome sciences. Here, we introduce recent studies of cancerous structural variants (SVs) using long-read sequencing technologies, namely Pacific Biosciences (PacBio) sequencers, Oxford...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Research Network of Computational and Structural Biotechnology
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8350331/ https://www.ncbi.nlm.nih.gov/pubmed/34527193 http://dx.doi.org/10.1016/j.csbj.2021.07.030 |
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author | Sakamoto, Yoshitaka Zaha, Suzuko Suzuki, Yutaka Seki, Masahide Suzuki, Ayako |
author_facet | Sakamoto, Yoshitaka Zaha, Suzuko Suzuki, Yutaka Seki, Masahide Suzuki, Ayako |
author_sort | Sakamoto, Yoshitaka |
collection | PubMed |
description | In recent years, the so-called long-read sequencing technology has had a substantial impact on various aspects of genome sciences. Here, we introduce recent studies of cancerous structural variants (SVs) using long-read sequencing technologies, namely Pacific Biosciences (PacBio) sequencers, Oxford Nanopore Technologies (ONT) sequencers, and linked-read methods. By taking advantage of long-read lengths, these technologies have enabled the precise detection of SVs, including long insertions by transposable elements, such as LINE-1. In addition to SV detection, the epigenome status (including DNA methylation and haplotype information) surrounding SV loci has also been unveiled by long-read sequencing technologies, to identify the effects of SVs. Among the various research fields in which long-read sequencing has been applied, cancer genomics has shown the most remarkable advances. In fact, many studies are beginning to shed light on the detection of SVs and the elucidation of their complex structures in various types of cancer. In the particular case of cancers, we summarize the technical limitations of the application of this technology to the analysis of clinical samples. We will introduce recent achievements from this viewpoint. However, a similar approach will be started for other applications in the near future. Therefore, by complementing the current short-read sequencing analysis, long-read sequencing should reveal the complex nature of human genomes in their healthy and disease states, which will open a new opportunity for a better understanding of disease development and for a novel strategy for drug development. |
format | Online Article Text |
id | pubmed-8350331 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Research Network of Computational and Structural Biotechnology |
record_format | MEDLINE/PubMed |
spelling | pubmed-83503312021-09-14 Application of long-read sequencing to the detection of structural variants in human cancer genomes Sakamoto, Yoshitaka Zaha, Suzuko Suzuki, Yutaka Seki, Masahide Suzuki, Ayako Comput Struct Biotechnol J Review In recent years, the so-called long-read sequencing technology has had a substantial impact on various aspects of genome sciences. Here, we introduce recent studies of cancerous structural variants (SVs) using long-read sequencing technologies, namely Pacific Biosciences (PacBio) sequencers, Oxford Nanopore Technologies (ONT) sequencers, and linked-read methods. By taking advantage of long-read lengths, these technologies have enabled the precise detection of SVs, including long insertions by transposable elements, such as LINE-1. In addition to SV detection, the epigenome status (including DNA methylation and haplotype information) surrounding SV loci has also been unveiled by long-read sequencing technologies, to identify the effects of SVs. Among the various research fields in which long-read sequencing has been applied, cancer genomics has shown the most remarkable advances. In fact, many studies are beginning to shed light on the detection of SVs and the elucidation of their complex structures in various types of cancer. In the particular case of cancers, we summarize the technical limitations of the application of this technology to the analysis of clinical samples. We will introduce recent achievements from this viewpoint. However, a similar approach will be started for other applications in the near future. Therefore, by complementing the current short-read sequencing analysis, long-read sequencing should reveal the complex nature of human genomes in their healthy and disease states, which will open a new opportunity for a better understanding of disease development and for a novel strategy for drug development. Research Network of Computational and Structural Biotechnology 2021-07-28 /pmc/articles/PMC8350331/ /pubmed/34527193 http://dx.doi.org/10.1016/j.csbj.2021.07.030 Text en © 2021 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Sakamoto, Yoshitaka Zaha, Suzuko Suzuki, Yutaka Seki, Masahide Suzuki, Ayako Application of long-read sequencing to the detection of structural variants in human cancer genomes |
title | Application of long-read sequencing to the detection of structural variants in human cancer genomes |
title_full | Application of long-read sequencing to the detection of structural variants in human cancer genomes |
title_fullStr | Application of long-read sequencing to the detection of structural variants in human cancer genomes |
title_full_unstemmed | Application of long-read sequencing to the detection of structural variants in human cancer genomes |
title_short | Application of long-read sequencing to the detection of structural variants in human cancer genomes |
title_sort | application of long-read sequencing to the detection of structural variants in human cancer genomes |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8350331/ https://www.ncbi.nlm.nih.gov/pubmed/34527193 http://dx.doi.org/10.1016/j.csbj.2021.07.030 |
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