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Somatic mutations and cell identity linked by Genotyping of Transcriptomes

Author

Listed:
  • Anna S. Nam

    (Weill Cornell Medicine
    New York Genome Center
    Weill Cornell Medicine)

  • Kyu-Tae Kim

    (New York Genome Center
    Weill Cornell Medicine
    Weill Cornell Medicine)

  • Ronan Chaligne

    (New York Genome Center
    Weill Cornell Medicine
    Weill Cornell Medicine)

  • Franco Izzo

    (New York Genome Center
    Weill Cornell Medicine
    Weill Cornell Medicine)

  • Chelston Ang

    (New York Genome Center
    Weill Cornell Medicine
    Weill Cornell Medicine)

  • Justin Taylor

    (Memorial Sloan Kettering Cancer Center)

  • Robert M. Myers

    (New York Genome Center
    Weill Cornell Medicine
    Weill Cornell Medicine
    Memorial Sloan Kettering Cancer Center)

  • Ghaith Abu-Zeinah

    (Weill Cornell Medicine
    Weill Cornell Medicine)

  • Ryan Brand

    (New York Genome Center
    Weill Cornell Medicine
    Weill Cornell Medicine)

  • Nathaniel D. Omans

    (New York Genome Center
    Weill Cornell Medicine
    Weill Cornell Medicine
    Cornell University, Weill Cornell Medicine)

  • Alicia Alonso

    (Weill Cornell Medicine)

  • Caroline Sheridan

    (Weill Cornell Medicine)

  • Marisa Mariani

    (Weill Cornell Medicine)

  • Xiaoguang Dai

    (Oxford Nanopore Technologies)

  • Eoghan Harrington

    (Oxford Nanopore Technologies)

  • Alessandro Pastore

    (Memorial Sloan Kettering Cancer Center)

  • Juan R. Cubillos-Ruiz

    (Weill Cornell Medicine)

  • Wayne Tam

    (Weill Cornell Medicine)

  • Ronald Hoffman

    (Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai)

  • Raul Rabadan

    (Columbia University Medical Center)

  • Joseph M. Scandura

    (Weill Cornell Medicine
    Weill Cornell Medicine)

  • Omar Abdel-Wahab

    (Memorial Sloan Kettering Cancer Center)

  • Peter Smibert

    (New York Genome Center)

  • Dan A. Landau

    (New York Genome Center
    Weill Cornell Medicine
    Weill Cornell Medicine
    Institute for Computational Biomedicine, Weill Cornell Medicine)

Abstract

Defining the transcriptomic identity of malignant cells is challenging in the absence of surface markers that distinguish cancer clones from one another, or from admixed non-neoplastic cells. To address this challenge, here we developed Genotyping of Transcriptomes (GoT), a method to integrate genotyping with high-throughput droplet-based single-cell RNA sequencing. We apply GoT to profile 38,290 CD34+ cells from patients with CALR-mutated myeloproliferative neoplasms to study how somatic mutations corrupt the complex process of human haematopoiesis. High-resolution mapping of malignant versus normal haematopoietic progenitors revealed an increasing fitness advantage with myeloid differentiation of cells with mutated CALR. We identified the unfolded protein response as a predominant outcome of CALR mutations, with a considerable dependency on cell identity, as well as upregulation of the NF-κB pathway specifically in uncommitted stem cells. We further extended the GoT toolkit to genotype multiple targets and loci that are distant from transcript ends. Together, these findings reveal that the transcriptional output of somatic mutations in myeloproliferative neoplasms is dependent on the native cell identity.

Suggested Citation

  • Anna S. Nam & Kyu-Tae Kim & Ronan Chaligne & Franco Izzo & Chelston Ang & Justin Taylor & Robert M. Myers & Ghaith Abu-Zeinah & Ryan Brand & Nathaniel D. Omans & Alicia Alonso & Caroline Sheridan & Ma, 2019. "Somatic mutations and cell identity linked by Genotyping of Transcriptomes," Nature, Nature, vol. 571(7765), pages 355-360, July.
  • Handle: RePEc:nat:nature:v:571:y:2019:i:7765:d:10.1038_s41586-019-1367-0
    DOI: 10.1038/s41586-019-1367-0
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    Citations

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    Cited by:

    1. Daniele Ramazzotti & Fabrizio Angaroni & Davide Maspero & Gianluca Ascolani & Isabella Castiglioni & Rocco Piazza & Marco Antoniotti & Alex Graudenzi, 2022. "Variant calling from scRNA-seq data allows the assessment of cellular identity in patient-derived cell lines," Nature Communications, Nature, vol. 13(1), pages 1-3, December.
    2. Giulia Schiroli & Vinay Kartha & Fabiana M. Duarte & Trine A. Kristiansen & Christina Mayerhofer & Rojesh Shrestha & Andrew Earl & Yan Hu & Tristan Tay & Catherine Rhee & Jason D. Buenrostro & David T, 2024. "Cell of origin epigenetic priming determines susceptibility to Tet2 mutation," Nature Communications, Nature, vol. 15(1), pages 1-20, December.
    3. Mattheus H. E. Wildschut & Julien Mena & Cyril Dördelmann & Marc Oostrum & Benjamin D. Hale & Jens Settelmeier & Yasmin Festl & Veronika Lysenko & Patrick M. Schürch & Alexander Ring & Yannik Severin , 2023. "Proteogenetic drug response profiling elucidates targetable vulnerabilities of myelofibrosis," Nature Communications, Nature, vol. 14(1), pages 1-19, December.
    4. Livius Penter & Mehdi Borji & Adi Nagler & Haoxiang Lyu & Wesley S. Lu & Nicoletta Cieri & Katie Maurer & Giacomo Oliveira & Aziz M. Al’Khafaji & Kiran V. Garimella & Shuqiang Li & Donna S. Neuberg & , 2024. "Integrative genotyping of cancer and immune phenotypes by long-read sequencing," Nature Communications, Nature, vol. 15(1), pages 1-18, December.

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