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High-throughput targeted long-read single cell sequencing reveals the clonal and transcriptional landscape of lymphocytes

Author

Listed:
  • Mandeep Singh

    (Garvan Institute of Medical Research
    UNSW)

  • Ghamdan Al-Eryani

    (Garvan Institute of Medical Research
    UNSW)

  • Shaun Carswell

    (Garvan Institute of Medical Research)

  • James M. Ferguson

    (Garvan Institute of Medical Research)

  • James Blackburn

    (Garvan Institute of Medical Research
    UNSW)

  • Kirston Barton

    (Garvan Institute of Medical Research
    UNSW)

  • Daniel Roden

    (Garvan Institute of Medical Research
    UNSW)

  • Fabio Luciani

    (UNSW
    UNSW)

  • Tri Giang Phan

    (Garvan Institute of Medical Research
    UNSW)

  • Simon Junankar

    (Garvan Institute of Medical Research
    UNSW)

  • Katherine Jackson

    (Garvan Institute of Medical Research
    UNSW)

  • Christopher C. Goodnow

    (Garvan Institute of Medical Research
    UNSW)

  • Martin A. Smith

    (Garvan Institute of Medical Research
    UNSW)

  • Alexander Swarbrick

    (Garvan Institute of Medical Research
    UNSW)

Abstract

High-throughput single-cell RNA sequencing is a powerful technique but only generates short reads from one end of a cDNA template, limiting the reconstruction of highly diverse sequences such as antigen receptors. To overcome this limitation, we combined targeted capture and long-read sequencing of T-cell-receptor (TCR) and B-cell-receptor (BCR) mRNA transcripts with short-read transcriptome profiling of barcoded single-cell libraries generated by droplet-based partitioning. We show that Repertoire and Gene Expression by Sequencing (RAGE-Seq) can generate accurate full-length antigen receptor sequences at nucleotide resolution, infer B-cell clonal evolution and identify alternatively spliced BCR transcripts. We apply RAGE-Seq to 7138 cells sampled from the primary tumor and draining lymph node of a breast cancer patient to track transcriptome profiles of expanded lymphocyte clones across tissues. Our results demonstrate that RAGE-Seq is a powerful method for tracking the clonal evolution from large numbers of lymphocytes applicable to the study of immunity, autoimmunity and cancer.

Suggested Citation

  • Mandeep Singh & Ghamdan Al-Eryani & Shaun Carswell & James M. Ferguson & James Blackburn & Kirston Barton & Daniel Roden & Fabio Luciani & Tri Giang Phan & Simon Junankar & Katherine Jackson & Christo, 2019. "High-throughput targeted long-read single cell sequencing reveals the clonal and transcriptional landscape of lymphocytes," Nature Communications, Nature, vol. 10(1), pages 1-13, December.
  • Handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-11049-4
    DOI: 10.1038/s41467-019-11049-4
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    Cited by:

    1. Ashley Byrne & Daniel Le & Kostianna Sereti & Hari Menon & Samir Vaidya & Neha Patel & Jessica Lund & Ana Xavier-Magalhães & Minyi Shi & Yuxin Liang & Timothy Sterne-Weiler & Zora Modrusan & William S, 2024. "Single-cell long-read targeted sequencing reveals transcriptional variation in ovarian cancer," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    2. Jasim Kada Benotmane & Jan Kueckelhaus & Paulina Will & Junyi Zhang & Vidhya M. Ravi & Kevin Joseph & Roman Sankowski & Jürgen Beck & Catalina Lee-Chang & Oliver Schnell & Dieter Henrik Heiland, 2023. "High-sensitive spatially resolved T cell receptor sequencing with SPTCR-seq," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
    3. Alma Andersson & Ludvig Larsson & Linnea Stenbeck & Fredrik Salmén & Anna Ehinger & Sunny Z. Wu & Ghamdan Al-Eryani & Daniel Roden & Alex Swarbrick & Åke Borg & Jonas Frisén & Camilla Engblom & Joakim, 2021. "Spatial deconvolution of HER2-positive breast cancer delineates tumor-associated cell type interactions," Nature Communications, Nature, vol. 12(1), pages 1-14, December.
    4. Raymond Hall Yip Louie & Curtis Cai & Jerome Samir & Mandeep Singh & Ira W. Deveson & James M. Ferguson & Timothy G. Amos & Helen Marie McGuire & Kavitha Gowrishankar & Thiruni Adikari & Robert Balder, 2023. "CAR+ and CAR− T cells share a differentiation trajectory into an NK-like subset after CD19 CAR T cell infusion in patients with B cell malignancies," Nature Communications, Nature, vol. 14(1), pages 1-18, December.
    5. Zhiping Zhang & Bongmin Bae & Winston H. Cuddleston & Pedro Miura, 2023. "Coordination of alternative splicing and alternative polyadenylation revealed by targeted long read sequencing," Nature Communications, Nature, vol. 14(1), pages 1-14, December.

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