Literature DB >> 33835024

Simultaneous trimodal single-cell measurement of transcripts, epitopes, and chromatin accessibility using TEA-seq.

Elliott Swanson1, Cara Lord1, Julian Reading1, Alexander T Heubeck1, Palak C Genge1, Zachary Thomson1, Morgan DA Weiss1, Xiao-Jun Li1, Adam K Savage1, Richard R Green1,2, Troy R Torgerson1,3, Thomas F Bumol1, Lucas T Graybuck1, Peter J Skene1.   

Abstract

Single-cell measurements of cellular characteristics have been instrumental in understanding the heterogeneous pathways that drive differentiation, cellular responses to signals, and human disease. Recent advances have allowed paired capture of protein abundance and transcriptomic state, but a lack of epigenetic information in these assays has left a missing link to gene regulation. Using the heterogeneous mixture of cells in human peripheral blood as a test case, we developed a novel scATAC-seq workflow that increases signal-to-noise and allows paired measurement of cell surface markers and chromatin accessibility: integrated cellular indexing of chromatin landscape and epitopes, called ICICLE-seq. We extended this approach using a droplet-based multiomics platform to develop a trimodal assay that simultaneously measures transcriptomics (scRNA-seq), epitopes, and chromatin accessibility (scATAC-seq) from thousands of single cells, which we term TEA-seq. Together, these multimodal single-cell assays provide a novel toolkit to identify type-specific gene regulation and expression grounded in phenotypically defined cell types.
© 2021, Swanson et al.

Entities:  

Keywords:  chromatin; epitopes; genetics; genomics; human; immunology; inflammation; multiomics; sequencing; transcription

Year:  2021        PMID: 33835024      PMCID: PMC8034981          DOI: 10.7554/eLife.63632

Source DB:  PubMed          Journal:  Elife        ISSN: 2050-084X            Impact factor:   8.140


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Review 10.  New horizons in the stormy sea of multimodal single-cell data integration.

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