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Long-read whole-genome analysis of human single cells

Author

Listed:
  • Joanna Hård

    (Karolinska Institutet
    ETH Zurich
    ETH Zurich)

  • Jeff E. Mold

    (Karolinska Institutet)

  • Jesper Eisfeldt

    (Karolinska Institutet
    Karolinska University Hospital)

  • Christian Tellgren-Roth

    (Uppsala University)

  • Susana Häggqvist

    (Uppsala University)

  • Ignas Bunikis

    (Uppsala University)

  • Orlando Contreras-Lopez

    (Royal Institute of Technology (KTH))

  • Chen-Shan Chin

    (GeneDX LLC)

  • Jessica Nordlund

    (Uppsala University)

  • Carl-Johan Rubin

    (Uppsala University)

  • Lars Feuk

    (Uppsala University)

  • Jakob Michaëlsson

    (Karolinska Institutet)

  • Adam Ameur

    (Uppsala University)

Abstract

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.

Suggested Citation

  • 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 &, 2023. "Long-read whole-genome analysis of human single cells," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-40898-3
    DOI: 10.1038/s41467-023-40898-3
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    References listed on IDEAS

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