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Long-read whole genome analysis of human single cells

View ORCID ProfileJoanna Hård, View ORCID ProfileJeff E Mold, View ORCID ProfileJesper Eisfeldt, Christian Tellgren-Roth, Susana Häggqvist, Ignas Bunikis, Orlando Contreras-Lopez, View ORCID ProfileChen-Shan Chin, Jessica Nordlund, View ORCID ProfileCarl-Johan Rubin, View ORCID ProfileLars Feuk, View ORCID ProfileJakob Michaëlsson, View ORCID ProfileAdam Ameur
doi: https://doi.org/10.1101/2021.04.13.439527
Joanna Hård
1Department of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden
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  • For correspondence: adam.ameur@igp.uu.se
Jeff E Mold
1Department of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden
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Jesper Eisfeldt
2Department of Molecular Medicine and Surgery, Karolinska Institutet
3Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
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Christian Tellgren-Roth
4Science for Life Laboratory, Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
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Susana Häggqvist
4Science for Life Laboratory, Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
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Ignas Bunikis
4Science for Life Laboratory, Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
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Orlando Contreras-Lopez
5Science for Life Laboratory, Royal Institute of Technology (KTH), Stockholm, Sweden
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Chen-Shan Chin
6Sema4, OpCo, Inc, Stamford, USA
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Jessica Nordlund
7Science for Life Laboratory, Department of Medical Sciences, Uppsala University, Uppsala, Sweden
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Carl-Johan Rubin
8Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden
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Lars Feuk
4Science for Life Laboratory, Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
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Jakob Michaëlsson
9Center for Infectious Medicine, Department of Medicine, Karolinska Institutet, Stockholm, Sweden
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Adam Ameur
4Science for Life Laboratory, Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
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Abstract

With long-read sequencing, we have entered an era where individual genomes are routinely assembled to near completion and where complex genetic variation can efficiently be resolved. Here, we demonstrate that long reads can be applied to study the genomic architecture of individual human cells. Clonally expanded CD8+ T-cells from a human donor were used as starting material for a droplet-based multiple displacement amplification (dMDA) to generate long molecules with minimal amplification bias. PacBio HiFi sequencing generated up to 20 Gb data and 40% genome coverage per single cell. The data allowed for accurate detection and haplotype phasing of single nucleotide variants (SNVs), structural variants (SVs), and tandem repeats, including in genomic regions inaccessible by short reads. Somatic SNVs were detected in the nuclear genome and mitochondrial DNA. An average of 1278 high-confidence SVs per cell were discovered in the PacBio data, nearly four times as many compared to those found in Illumina dMDA data from clonally related cells. Single-cell de novo assembly resulted in a genome size of up to 598 Mb and 1762 (12.8%) complete gene models. In summary, the work presented here demonstrates the utility of whole genome amplification combined with long-read sequencing toward the characterization of the full spectrum of genetic variation at the single-cell level.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • Long-read data has been added from additional single cells. Also, a bulk DNA sample from the same individual has been sequenced to high coverage with PacBio HiFi reads.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted January 23, 2023.
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Long-read whole genome analysis of human single cells
Joanna Hård, Jeff E Mold, Jesper Eisfeldt, Christian Tellgren-Roth, Susana Häggqvist, Ignas Bunikis, Orlando Contreras-Lopez, Chen-Shan Chin, Jessica Nordlund, Carl-Johan Rubin, Lars Feuk, Jakob Michaëlsson, Adam Ameur
bioRxiv 2021.04.13.439527; doi: https://doi.org/10.1101/2021.04.13.439527
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Long-read whole genome analysis of human single cells
Joanna Hård, Jeff E Mold, Jesper Eisfeldt, Christian Tellgren-Roth, Susana Häggqvist, Ignas Bunikis, Orlando Contreras-Lopez, Chen-Shan Chin, Jessica Nordlund, Carl-Johan Rubin, Lars Feuk, Jakob Michaëlsson, Adam Ameur
bioRxiv 2021.04.13.439527; doi: https://doi.org/10.1101/2021.04.13.439527

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