Label-free single-cell RNA multiplexing leveraging genetic variability

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 Kurth, Hendrik Milting, Sikander Hayat () and Rafael Kramann ()
Additional contact information
Konrad Hoeft: RWTH Aachen University
Tore Bleckwehl: RWTH Aachen University
David Schumacher: 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
Marian C. Clahsen- van Groningen: RWTH Aachen University
Anne Babler: RWTH Aachen University
Turgay Saritas: RWTH Aachen University
Ingo Kurth: RWTH Aachen University
Hendrik Milting: Heart and Diabetes Center NRW
Sikander Hayat: RWTH Aachen University
Rafael Kramann: RWTH Aachen University

Nature Communications, 2024, vol. 15, issue 1, 1-7

Abstract: 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.

Date: 2024
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DOI: 10.1038/s41467-024-54270-6

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