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Sensitive and powerful single-cell RNA sequencing using mcSCRB-seq

Author

Listed:
  • Johannes W. Bagnoli

    (Ludwig-Maximilians-University)

  • Christoph Ziegenhain

    (Ludwig-Maximilians-University
    Karolinska Institutet)

  • Aleksandar Janjic

    (Ludwig-Maximilians-University)

  • Lucas E. Wange

    (Ludwig-Maximilians-University)

  • Beate Vieth

    (Ludwig-Maximilians-University)

  • Swati Parekh

    (Ludwig-Maximilians-University
    Max Planck Institute for Biology of Ageing)

  • Johanna Geuder

    (Ludwig-Maximilians-University)

  • Ines Hellmann

    (Ludwig-Maximilians-University)

  • Wolfgang Enard

    (Ludwig-Maximilians-University)

Abstract

Single-cell RNA sequencing (scRNA-seq) has emerged as a central genome-wide method to characterize cellular identities and processes. Consequently, improving its sensitivity, flexibility, and cost-efficiency can advance many research questions. Among the flexible plate-based methods, single-cell RNA barcoding and sequencing (SCRB-seq) is highly sensitive and efficient. Here, we systematically evaluate experimental conditions of this protocol and find that adding polyethylene glycol considerably increases sensitivity by enhancing cDNA synthesis. Furthermore, using Terra polymerase increases efficiency due to a more even cDNA amplification that requires less sequencing of libraries. We combined these and other improvements to develop a scRNA-seq library protocol we call molecular crowding SCRB-seq (mcSCRB-seq), which we show to be one of the most sensitive, efficient, and flexible scRNA-seq methods to date.

Suggested Citation

  • Johannes W. Bagnoli & Christoph Ziegenhain & Aleksandar Janjic & Lucas E. Wange & Beate Vieth & Swati Parekh & Johanna Geuder & Ines Hellmann & Wolfgang Enard, 2018. "Sensitive and powerful single-cell RNA sequencing using mcSCRB-seq," Nature Communications, Nature, vol. 9(1), pages 1-8, December.
  • Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-05347-6
    DOI: 10.1038/s41467-018-05347-6
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    Cited by:

    1. Kai Battenberg & S. Thomas Kelly & Radu Abu Ras & Nicola A. Hetherington & Makoto Hayashi & Aki Minoda, 2022. "A flexible cross-platform single-cell data processing pipeline," Nature Communications, Nature, vol. 13(1), pages 1-7, December.
    2. Konstantin Lutz & Andrea Musumeci & Christopher Sie & Ezgi Dursun & Elena Winheim & Johannes Bagnoli & Christoph Ziegenhain & Lisa Rausch & Volker Bergen & Malte D. Luecken & Robert A. J. Oostendorp &, 2022. "Ly6D+Siglec-H+ precursors contribute to conventional dendritic cells via a Zbtb46+Ly6D+ intermediary stage," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    3. Joachim Jonghe & Tomasz S. Kaminski & David B. Morse & Marcin Tabaka & Anna L. Ellermann & Timo N. Kohler & Gianluca Amadei & Charlotte E. Handford & Gregory M. Findlay & Magdalena Zernicka-Goetz & Sa, 2023. "spinDrop: a droplet microfluidic platform to maximise single-cell sequencing information content," Nature Communications, Nature, vol. 14(1), pages 1-18, December.
    4. Shruthi Kalgudde Gopal & Ruoxuan Dai & Ania Maria Stefanska & Meshal Ansari & Jiakuan Zhao & Pushkar Ramesh & Johannes W. Bagnoli & Donovan Correa-Gallegos & Yue Lin & Simon Christ & Ilias Angelidis &, 2023. "Wound infiltrating adipocytes are not myofibroblasts," Nature Communications, Nature, vol. 14(1), pages 1-16, December.

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