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SCITO-seq: single-cell combinatorial indexed cytometry sequencing.
Hwang, Byungjin; Lee, David S; Tamaki, Whitney; Sun, Yang; Ogorodnikov, Anton; Hartoularos, George C; Winters, Aidan; Yeung, Bertrand Z; Nazor, Kristopher L; Song, Yun S; Chow, Eric D; Spitzer, Matthew H; Ye, Chun Jimmie.
Affiliation
  • Hwang B; Institute for Human Genetics (IHG), University of California, San Francisco, San Francisco, CA, USA.
  • Lee DS; Division of Rheumatology, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA.
  • Tamaki W; Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA.
  • Sun Y; Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA.
  • Ogorodnikov A; Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA.
  • Hartoularos GC; Institute for Human Genetics (IHG), University of California, San Francisco, San Francisco, CA, USA.
  • Winters A; Division of Rheumatology, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA.
  • Yeung BZ; Graduate Program in Pharmaceutical Sciences and Pharmacogenomics, University of California, San Francisco, San Francisco, CA, USA.
  • Nazor KL; Institute for Human Genetics (IHG), University of California, San Francisco, San Francisco, CA, USA.
  • Song YS; Division of Rheumatology, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA.
  • Chow ED; Institute for Human Genetics (IHG), University of California, San Francisco, San Francisco, CA, USA.
  • Spitzer MH; Division of Rheumatology, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA.
  • Ye CJ; Institute for Human Genetics (IHG), University of California, San Francisco, San Francisco, CA, USA.
Nat Methods ; 18(8): 903-911, 2021 08.
Article in En | MEDLINE | ID: mdl-34354295
The development of DNA-barcoded antibodies to tag cell surface molecules has enabled the use of droplet-based single-cell sequencing (dsc-seq) to profile protein abundances from thousands of cells simultaneously. As compared to flow and mass cytometry, the high per cell cost of current dsc-seq-based workflows precludes their use in clinical applications and large-scale pooled screens. Here, we introduce SCITO-seq, a workflow that uses splint oligonucleotides (oligos) to enable combinatorially indexed dsc-seq of DNA-barcoded antibodies from over 105 cells per reaction using commercial microfluidics. By encoding sample barcodes into splint oligos, we demonstrate that multiplexed SCITO-seq produces reproducible estimates of cellular composition and surface protein expression comparable to those from mass cytometry. We further demonstrate two modified splint oligo designs that extend SCITO-seq to achieve compatibility with commercial DNA-barcoded antibodies and simultaneous expression profiling of the transcriptome and surface proteins from the same cell. These results demonstrate SCITO-seq as a flexible and ultra-high-throughput platform for sequencing-based single-cell protein and multimodal profiling.
Subject(s)

Full text: 1 Database: MEDLINE Main subject: Sequence Analysis, RNA / Microfluidics / Single-Cell Analysis / High-Throughput Nucleotide Sequencing / Transcriptome / Flow Cytometry Type of study: Observational_studies Limits: Humans Language: En Journal: Nat Methods Journal subject: TECNICAS E PROCEDIMENTOS DE LABORATORIO Year: 2021 Type: Article Affiliation country: United States

Full text: 1 Database: MEDLINE Main subject: Sequence Analysis, RNA / Microfluidics / Single-Cell Analysis / High-Throughput Nucleotide Sequencing / Transcriptome / Flow Cytometry Type of study: Observational_studies Limits: Humans Language: En Journal: Nat Methods Journal subject: TECNICAS E PROCEDIMENTOS DE LABORATORIO Year: 2021 Type: Article Affiliation country: United States