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Comprehensive Benchmarking of CITE-seq versus DOGMA-seq Single Cell Multimodal Omics

View ORCID ProfileZhongli Xu, Elisa Heidrich-O’Hare, Wei Chen, Richard H. Duerr
doi: https://doi.org/10.1101/2021.12.15.472792
Zhongli Xu
1Department of Pediatrics, University of Pittsburgh, PA, USA
2School of Medicine, Tsinghua University, Beijing, China
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  • ORCID record for Zhongli Xu
Elisa Heidrich-O’Hare
4Department of Medicine, University of Pittsburgh, PA, USA
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Wei Chen
1Department of Pediatrics, University of Pittsburgh, PA, USA
3Department of Biostatistics, University of Pittsburgh, PA, USA
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  • For correspondence: duerr@pitt.edu wec47@pitt.edu
Richard H. Duerr
4Department of Medicine, University of Pittsburgh, PA, USA
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  • For correspondence: duerr@pitt.edu wec47@pitt.edu
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Abstract

The recently developed transcription, epitopes, and chromatin accessibility by sequencing (TEA-seq) and similar DOGMA-seq single-cell trimodal omics assays provide unprecedented opportunities for understanding cell biology, but independent optimization, benchmarking and evaluation are lacking. We explored the utility, pros and cons of DOGMA-seq compared to the bimodal cellular indexing of transcriptomes and epitopes by sequencing (CITE-seq) assay in activated and stimulated human peripheral blood T cells. We identified an optimal incubation time and concentration of digitonin (DIG) for cell permeabilization and found that single-cell trimodal omics measurements after DIG permeabilization were generally better than after an alternative “low-loss lysis” (LLL) permeabilization condition. Next, we found that DOGMA-seq with optimized DIG permeabilization and its ATAC library provides more information, even though its mRNA and cell surface protein antibody-derived tag (ADT) libraries have slightly inferior quality, compared to CITE-seq. Finally, we recognized the additional value of DOGMA-seq for studying lineage-specific T helper cells.

Competing Interest Statement

The authors have declared no competing interest.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
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Posted December 16, 2021.
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Comprehensive Benchmarking of CITE-seq versus DOGMA-seq Single Cell Multimodal Omics
Zhongli Xu, Elisa Heidrich-O’Hare, Wei Chen, Richard H. Duerr
bioRxiv 2021.12.15.472792; doi: https://doi.org/10.1101/2021.12.15.472792
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Comprehensive Benchmarking of CITE-seq versus DOGMA-seq Single Cell Multimodal Omics
Zhongli Xu, Elisa Heidrich-O’Hare, Wei Chen, Richard H. Duerr
bioRxiv 2021.12.15.472792; doi: https://doi.org/10.1101/2021.12.15.472792

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