Long-read whole-genome analysis of human single cells

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作者
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
机构
[1] Karolinska Institutet,Department of Cell and Molecular Biology
[2] ETH Zurich,Department of Biosystems Science and Engineering
[3] ETH Zurich,ETH AI Center
[4] Karolinska Institutet,Department of Molecular Medicine and Surgery
[5] Karolinska University Hospital,Department of Clinical Genetics
[6] Uppsala University,Science for Life Laboratory, Department of Immunology, Genetics and Pathology
[7] Royal Institute of Technology (KTH),Science for Life Laboratory
[8] GeneDX LLC,Science for Life Laboratory, Department of Medical Sciences
[9] Uppsala University,Department of Medical Biochemistry and Microbiology
[10] Uppsala University,Center for Infectious Medicine, Department of Medicine
[11] Karolinska Institutet,undefined
来源
Nature Communications | / 14卷
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摘要
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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