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Parallel measurement of transcriptomes and proteomes from same single cells using nanodroplet splitting

Author

Listed:
  • James M. Fulcher

    (Pacific Northwest National Laboratory)

  • Lye Meng Markillie

    (Pacific Northwest National Laboratory)

  • Hugh D. Mitchell

    (Pacific Northwest National Laboratory)

  • Sarah M. Williams

    (Pacific Northwest National Laboratory)

  • Kristin M. Engbrecht

    (Pacific Northwest National Laboratory)

  • David J. Degnan

    (Pacific Northwest National Laboratory)

  • Lisa M. Bramer

    (Pacific Northwest National Laboratory)

  • Ronald J. Moore

    (Pacific Northwest National Laboratory)

  • William B. Chrisler

    (Pacific Northwest National Laboratory)

  • Joshua Cantlon-Bruce

    (Scienion AG
    Bâtiment BioSerra2)

  • Johannes W. Bagnoli

    (Bâtiment BioSerra2)

  • Wei-Jun Qian

    (Pacific Northwest National Laboratory)

  • Anjali Seth

    (Bâtiment BioSerra2)

  • Ljiljana Paša-Tolić

    (Pacific Northwest National Laboratory)

  • Ying Zhu

    (Pacific Northwest National Laboratory
    Genentech Inc.)

Abstract

Single-cell multiomics provides comprehensive insights into gene regulatory networks, cellular diversity, and temporal dynamics. Here, we introduce nanoSPLITS (nanodroplet SPlitting for Linked-multimodal Investigations of Trace Samples), an integrated platform that enables global profiling of the transcriptome and proteome from same single cells via RNA sequencing and mass spectrometry-based proteomics, respectively. Benchmarking of nanoSPLITS demonstrates high measurement precision with deep proteomic and transcriptomic profiling of single-cells. We apply nanoSPLITS to cyclin-dependent kinase 1 inhibited cells and found phospho-signaling events could be quantified alongside global protein and mRNA measurements, providing insights into cell cycle regulation. We extend nanoSPLITS to primary cells isolated from human pancreatic islets, introducing an efficient approach for facile identification of unknown cell types and their protein markers by mapping transcriptomic data to existing large-scale single-cell RNA sequencing reference databases. Accordingly, we establish nanoSPLITS as a multiomic technology incorporating global proteomics and anticipate the approach will be critical to furthering our understanding of biological systems.

Suggested Citation

  • James M. Fulcher & Lye Meng Markillie & Hugh D. Mitchell & Sarah M. Williams & Kristin M. Engbrecht & David J. Degnan & Lisa M. Bramer & Ronald J. Moore & William B. Chrisler & Joshua Cantlon-Bruce & , 2024. "Parallel measurement of transcriptomes and proteomes from same single cells using nanodroplet splitting," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-54099-z
    DOI: 10.1038/s41467-024-54099-z
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    References listed on IDEAS

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    2. Jongmin Woo & Sarah M. Williams & Lye Meng Markillie & Song Feng & Chia-Feng Tsai & Victor Aguilera-Vazquez & Ryan L. Sontag & Ronald J. Moore & Dehong Hu & Hardeep S. Mehta & Joshua Cantlon-Bruce & T, 2021. "High-throughput and high-efficiency sample preparation for single-cell proteomics using a nested nanowell chip," Nature Communications, Nature, vol. 12(1), pages 1-11, December.
    3. Katja Rust & Lauren E. Byrnes & Kevin Shengyang Yu & Jason S. Park & Julie B. Sneddon & Aaron D. Tward & Todd G. Nystul, 2020. "A single-cell atlas and lineage analysis of the adult Drosophila ovary," Nature Communications, Nature, vol. 11(1), pages 1-17, December.
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