Literature DB >> 34354295

SCITO-seq: single-cell combinatorial indexed cytometry sequencing.

Byungjin Hwang1,2,3,4,5, David S Lee1,2, Whitney Tamaki6, Yang Sun1,2, Anton Ogorodnikov1,2, George C Hartoularos1,2,7, Aidan Winters7, Bertrand Z Yeung8, Kristopher L Nazor8, Yun S Song9,10,11, Eric D Chow12, Matthew H Spitzer13,14,15,11, Chun Jimmie Ye16,17,18,19,20,21,22,23.   

Abstract

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.
© 2021. The Author(s), under exclusive licence to Springer Nature America, Inc.

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Mesh:

Year:  2021        PMID: 34354295      PMCID: PMC8643207          DOI: 10.1038/s41592-021-01222-3

Source DB:  PubMed          Journal:  Nat Methods        ISSN: 1548-7091            Impact factor:   28.547


  1 in total

1.  Panel Design and Optimization for High-Dimensional Immunophenotyping Assays Using Spectral Flow Cytometry.

Authors:  Laura Ferrer-Font; Christophe Pellefigues; Johannes U Mayer; Sam J Small; Maria C Jaimes; Kylie M Price
Journal:  Curr Protoc Cytom       Date:  2020-03
  1 in total
  4 in total

Review 1.  Next-generation sequencing: unraveling genetic mechanisms that shape cancer immunotherapy efficacy.

Authors:  Ahmed Halima; Winston Vuong; Timothy A Chan
Journal:  J Clin Invest       Date:  2022-06-15       Impact factor: 19.456

Review 2.  Revealing new biology from multiplexed, metal-isotope-tagged, single-cell readouts.

Authors:  Reema Baskar; Sam C Kimmey; Sean C Bendall
Journal:  Trends Cell Biol       Date:  2022-02-16       Impact factor: 21.167

3.  High-throughput single-cell quantification of hundreds of proteins using conventional flow cytometry and machine learning.

Authors:  Etienne Becht; Daniel Tolstrup; Charles-Antoine Dutertre; Peter A Morawski; Daniel J Campbell; Florent Ginhoux; Evan W Newell; Raphael Gottardo; Mark B Headley
Journal:  Sci Adv       Date:  2021-09-22       Impact factor: 14.136

4.  Quantifying protein abundance on single cells using split-pool sequencing on DNA-barcoded antibodies for diagnostic applications.

Authors:  Jenny Sheng; Eldad A Hod; George Vlad; Alejandro Chavez
Journal:  Sci Rep       Date:  2022-01-18       Impact factor: 4.379

  4 in total

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