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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
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.
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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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