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Comprehensive benchmarking of CITE-seq versus DOGMA-seq single cell multimodal omics
The recently developed method TEA-seq and similar DOGMA-seq single cell trimodal omics assays provide unprecedented opportunities for understanding cell biology, but independent evaluation is lacking. We explore the utility of DOGMA-seq compared to the bimodal CITE-seq assay in activated and stimula...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9219143/ https://www.ncbi.nlm.nih.gov/pubmed/35739535 http://dx.doi.org/10.1186/s13059-022-02698-8 |
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author | Xu, Zhongli Heidrich-O’Hare, Elisa Chen, Wei Duerr, Richard H. |
author_facet | Xu, Zhongli Heidrich-O’Hare, Elisa Chen, Wei Duerr, Richard H. |
author_sort | Xu, Zhongli |
collection | PubMed |
description | The recently developed method TEA-seq and similar DOGMA-seq single cell trimodal omics assays provide unprecedented opportunities for understanding cell biology, but independent evaluation is lacking. We explore the utility of DOGMA-seq compared to the bimodal CITE-seq assay in activated and stimulated human peripheral blood T cells. We find that single cell trimodal omics measurements after digitonin (DIG) permeabilization were generally better than after an alternative “low-loss lysis” (LLL) permeabilization condition. Next, we find that DOGMA-seq with optimized DIG permeabilization and its ATAC library provides more information, although its mRNA and cell surface protein libraries have slightly inferior quality, compared to CITE-seq. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-022-02698-8. |
format | Online Article Text |
id | pubmed-9219143 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-92191432022-06-24 Comprehensive benchmarking of CITE-seq versus DOGMA-seq single cell multimodal omics Xu, Zhongli Heidrich-O’Hare, Elisa Chen, Wei Duerr, Richard H. Genome Biol Short Report The recently developed method TEA-seq and similar DOGMA-seq single cell trimodal omics assays provide unprecedented opportunities for understanding cell biology, but independent evaluation is lacking. We explore the utility of DOGMA-seq compared to the bimodal CITE-seq assay in activated and stimulated human peripheral blood T cells. We find that single cell trimodal omics measurements after digitonin (DIG) permeabilization were generally better than after an alternative “low-loss lysis” (LLL) permeabilization condition. Next, we find that DOGMA-seq with optimized DIG permeabilization and its ATAC library provides more information, although its mRNA and cell surface protein libraries have slightly inferior quality, compared to CITE-seq. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-022-02698-8. BioMed Central 2022-06-23 /pmc/articles/PMC9219143/ /pubmed/35739535 http://dx.doi.org/10.1186/s13059-022-02698-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Short Report Xu, Zhongli Heidrich-O’Hare, Elisa Chen, Wei Duerr, Richard H. Comprehensive benchmarking of CITE-seq versus DOGMA-seq single cell multimodal omics |
title | Comprehensive benchmarking of CITE-seq versus DOGMA-seq single cell multimodal omics |
title_full | Comprehensive benchmarking of CITE-seq versus DOGMA-seq single cell multimodal omics |
title_fullStr | Comprehensive benchmarking of CITE-seq versus DOGMA-seq single cell multimodal omics |
title_full_unstemmed | Comprehensive benchmarking of CITE-seq versus DOGMA-seq single cell multimodal omics |
title_short | Comprehensive benchmarking of CITE-seq versus DOGMA-seq single cell multimodal omics |
title_sort | comprehensive benchmarking of cite-seq versus dogma-seq single cell multimodal omics |
topic | Short Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9219143/ https://www.ncbi.nlm.nih.gov/pubmed/35739535 http://dx.doi.org/10.1186/s13059-022-02698-8 |
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