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SMOOTH-seq: single-cell genome sequencing of human cells on a third-generation sequencing platform
There is no effective way to detect structure variations (SVs) and extra-chromosomal circular DNAs (ecDNAs) at single-cell whole-genome level. Here, we develop a novel third-generation sequencing platform-based single-cell whole-genome sequencing (scWGS) method named SMOOTH-seq (single-molecule real...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8247186/ https://www.ncbi.nlm.nih.gov/pubmed/34193237 http://dx.doi.org/10.1186/s13059-021-02406-y |
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author | Fan, Xiaoying Yang, Cheng Li, Wen Bai, Xiuzhen Zhou, Xin Xie, Haoling Wen, Lu Tang, Fuchou |
author_facet | Fan, Xiaoying Yang, Cheng Li, Wen Bai, Xiuzhen Zhou, Xin Xie, Haoling Wen, Lu Tang, Fuchou |
author_sort | Fan, Xiaoying |
collection | PubMed |
description | There is no effective way to detect structure variations (SVs) and extra-chromosomal circular DNAs (ecDNAs) at single-cell whole-genome level. Here, we develop a novel third-generation sequencing platform-based single-cell whole-genome sequencing (scWGS) method named SMOOTH-seq (single-molecule real-time sequencing of long fragments amplified through transposon insertion). We evaluate the method for detecting CNVs, SVs, and SNVs in human cancer cell lines and a colorectal cancer sample and show that SMOOTH-seq reliably and effectively detects SVs and ecDNAs in individual cells, but shows relatively limited accuracy in detection of CNVs and SNVs. SMOOTH-seq opens a new chapter in scWGS as it generates high fidelity reads of kilobases long. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-021-02406-y. |
format | Online Article Text |
id | pubmed-8247186 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-82471862021-07-06 SMOOTH-seq: single-cell genome sequencing of human cells on a third-generation sequencing platform Fan, Xiaoying Yang, Cheng Li, Wen Bai, Xiuzhen Zhou, Xin Xie, Haoling Wen, Lu Tang, Fuchou Genome Biol Method There is no effective way to detect structure variations (SVs) and extra-chromosomal circular DNAs (ecDNAs) at single-cell whole-genome level. Here, we develop a novel third-generation sequencing platform-based single-cell whole-genome sequencing (scWGS) method named SMOOTH-seq (single-molecule real-time sequencing of long fragments amplified through transposon insertion). We evaluate the method for detecting CNVs, SVs, and SNVs in human cancer cell lines and a colorectal cancer sample and show that SMOOTH-seq reliably and effectively detects SVs and ecDNAs in individual cells, but shows relatively limited accuracy in detection of CNVs and SNVs. SMOOTH-seq opens a new chapter in scWGS as it generates high fidelity reads of kilobases long. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-021-02406-y. BioMed Central 2021-06-30 /pmc/articles/PMC8247186/ /pubmed/34193237 http://dx.doi.org/10.1186/s13059-021-02406-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, 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 data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Method Fan, Xiaoying Yang, Cheng Li, Wen Bai, Xiuzhen Zhou, Xin Xie, Haoling Wen, Lu Tang, Fuchou SMOOTH-seq: single-cell genome sequencing of human cells on a third-generation sequencing platform |
title | SMOOTH-seq: single-cell genome sequencing of human cells on a third-generation sequencing platform |
title_full | SMOOTH-seq: single-cell genome sequencing of human cells on a third-generation sequencing platform |
title_fullStr | SMOOTH-seq: single-cell genome sequencing of human cells on a third-generation sequencing platform |
title_full_unstemmed | SMOOTH-seq: single-cell genome sequencing of human cells on a third-generation sequencing platform |
title_short | SMOOTH-seq: single-cell genome sequencing of human cells on a third-generation sequencing platform |
title_sort | smooth-seq: single-cell genome sequencing of human cells on a third-generation sequencing platform |
topic | Method |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8247186/ https://www.ncbi.nlm.nih.gov/pubmed/34193237 http://dx.doi.org/10.1186/s13059-021-02406-y |
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