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Long-read whole-genome analysis of human single cells
Long-read sequencing has dramatically increased our understanding of human genome variation. Here, we demonstrate that long-read technology can give new insights into the genomic architecture of individual cells. Clonally expanded CD8+ T-cells from a human donor were subjected to droplet-based multi...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10449900/ https://www.ncbi.nlm.nih.gov/pubmed/37620373 http://dx.doi.org/10.1038/s41467-023-40898-3 |
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author | Hård, Joanna Mold, Jeff E. Eisfeldt, Jesper Tellgren-Roth, Christian Häggqvist, Susana Bunikis, Ignas Contreras-Lopez, Orlando Chin, Chen-Shan Nordlund, Jessica Rubin, Carl-Johan Feuk, Lars Michaëlsson, Jakob Ameur, Adam |
author_facet | Hård, Joanna Mold, Jeff E. Eisfeldt, Jesper Tellgren-Roth, Christian Häggqvist, Susana Bunikis, Ignas Contreras-Lopez, Orlando Chin, Chen-Shan Nordlund, Jessica Rubin, Carl-Johan Feuk, Lars Michaëlsson, Jakob Ameur, Adam |
author_sort | Hård, Joanna |
collection | PubMed |
description | Long-read sequencing has dramatically increased our understanding of human genome variation. Here, we demonstrate that long-read technology can give new insights into the genomic architecture of individual cells. Clonally expanded CD8+ T-cells from a human donor were subjected to droplet-based multiple displacement amplification (dMDA) to generate long molecules with reduced bias. PacBio sequencing generated up to 40% genome coverage per single-cell, enabling detection of single nucleotide variants (SNVs), structural variants (SVs), and tandem repeats, also in regions inaccessible by short reads. 28 somatic SNVs were detected, including one case of mitochondrial heteroplasmy. 5473 high-confidence SVs/cell were discovered, a sixteen-fold increase compared to Illumina-based results from clonally related cells. Single-cell de novo assembly generated a genome size of up to 598 Mb and 1762 (12.8%) complete gene models. In summary, our work shows the promise of long-read sequencing toward characterization of the full spectrum of genetic variation in single cells. |
format | Online Article Text |
id | pubmed-10449900 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-104499002023-08-26 Long-read whole-genome analysis of human single cells Hård, Joanna Mold, Jeff E. Eisfeldt, Jesper Tellgren-Roth, Christian Häggqvist, Susana Bunikis, Ignas Contreras-Lopez, Orlando Chin, Chen-Shan Nordlund, Jessica Rubin, Carl-Johan Feuk, Lars Michaëlsson, Jakob Ameur, Adam Nat Commun Article Long-read sequencing has dramatically increased our understanding of human genome variation. Here, we demonstrate that long-read technology can give new insights into the genomic architecture of individual cells. Clonally expanded CD8+ T-cells from a human donor were subjected to droplet-based multiple displacement amplification (dMDA) to generate long molecules with reduced bias. PacBio sequencing generated up to 40% genome coverage per single-cell, enabling detection of single nucleotide variants (SNVs), structural variants (SVs), and tandem repeats, also in regions inaccessible by short reads. 28 somatic SNVs were detected, including one case of mitochondrial heteroplasmy. 5473 high-confidence SVs/cell were discovered, a sixteen-fold increase compared to Illumina-based results from clonally related cells. Single-cell de novo assembly generated a genome size of up to 598 Mb and 1762 (12.8%) complete gene models. In summary, our work shows the promise of long-read sequencing toward characterization of the full spectrum of genetic variation in single cells. Nature Publishing Group UK 2023-08-24 /pmc/articles/PMC10449900/ /pubmed/37620373 http://dx.doi.org/10.1038/s41467-023-40898-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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/) . |
spellingShingle | Article Hård, Joanna Mold, Jeff E. Eisfeldt, Jesper Tellgren-Roth, Christian Häggqvist, Susana Bunikis, Ignas Contreras-Lopez, Orlando Chin, Chen-Shan Nordlund, Jessica Rubin, Carl-Johan Feuk, Lars Michaëlsson, Jakob Ameur, Adam Long-read whole-genome analysis of human single cells |
title | Long-read whole-genome analysis of human single cells |
title_full | Long-read whole-genome analysis of human single cells |
title_fullStr | Long-read whole-genome analysis of human single cells |
title_full_unstemmed | Long-read whole-genome analysis of human single cells |
title_short | Long-read whole-genome analysis of human single cells |
title_sort | long-read whole-genome analysis of human single cells |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10449900/ https://www.ncbi.nlm.nih.gov/pubmed/37620373 http://dx.doi.org/10.1038/s41467-023-40898-3 |
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