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Label-free single-cell RNA multiplexing leveraging genetic variability

Author

Listed:
  • Konrad Hoeft

    (RWTH Aachen University
    Erasmus Medical Center)

  • Tore Bleckwehl

    (RWTH Aachen University)

  • David Schumacher

    (RWTH Aachen University
    RWTH Aachen University)

  • Hyojin Kim

    (RWTH Aachen University)

  • Robert Meyer

    (RWTH Aachen University)

  • Qingqing Long

    (RWTH Aachen University)

  • Ling Zhang

    (RWTH Aachen University)

  • Christian Möller

    (RWTH Aachen University
    Heart and Diabetes Center NRW)

  • Marian C. Clahsen-van Groningen

    (RWTH Aachen University
    University Medical Center Rotterdam)

  • Anne Babler

    (RWTH Aachen University)

  • Turgay Saritas

    (RWTH Aachen University
    Erasmus Medical Center)

  • Ingo Kurth

    (RWTH Aachen University)

  • Hendrik Milting

    (Heart and Diabetes Center NRW)

  • Sikander Hayat

    (RWTH Aachen University)

  • Rafael Kramann

    (RWTH Aachen University
    Erasmus Medical Center)

Abstract

Single cell RNA sequencing has provided unprecedented insights into the molecular cues and cellular heterogeneity underlying human disease. However, the high costs and complexity of single cell methods remain a major obstacle for generating large-scale human cohorts. Here, we compare current state-of-the-art single cell multiplexing technologies, and provide a widely applicable demultiplexing method, SoupLadle, that enables simple, yet robust high-throughput multiplexing leveraging genetic variability of patients.

Suggested Citation

  • Konrad Hoeft & Tore Bleckwehl & David Schumacher & Hyojin Kim & Robert Meyer & Qingqing Long & Ling Zhang & Christian Möller & Marian C. Clahsen-van Groningen & Anne Babler & Turgay Saritas & Ingo Kur, 2024. "Label-free single-cell RNA multiplexing leveraging genetic variability," Nature Communications, Nature, vol. 15(1), pages 1-7, December.
    • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-54270-6
    DOI: 10.1038/s41467-024-54270-6
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