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

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...

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Autores principales: Swanson, Elliott, Lord, Cara, Reading, Julian, Heubeck, Alexander T, Genge, Palak C, Thomson, Zachary, Weiss, Morgan DA, Li, Xiao-jun, Savage, Adam K, Green, Richard R, Torgerson, Troy R, Bumol, Thomas F, Graybuck, Lucas T, Skene, Peter J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8034981/
https://www.ncbi.nlm.nih.gov/pubmed/33835024
http://dx.doi.org/10.7554/eLife.63632
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author Swanson, Elliott
Lord, Cara
Reading, Julian
Heubeck, Alexander T
Genge, Palak C
Thomson, Zachary
Weiss, Morgan DA
Li, Xiao-jun
Savage, Adam K
Green, Richard R
Torgerson, Troy R
Bumol, Thomas F
Graybuck, Lucas T
Skene, Peter J
author_facet Swanson, Elliott
Lord, Cara
Reading, Julian
Heubeck, Alexander T
Genge, Palak C
Thomson, Zachary
Weiss, Morgan DA
Li, Xiao-jun
Savage, Adam K
Green, Richard R
Torgerson, Troy R
Bumol, Thomas F
Graybuck, Lucas T
Skene, Peter J
author_sort Swanson, Elliott
collection PubMed
description 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.
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spelling pubmed-80349812021-04-12 Simultaneous trimodal single-cell measurement of transcripts, epitopes, and chromatin accessibility using TEA-seq Swanson, Elliott Lord, Cara Reading, Julian Heubeck, Alexander T Genge, Palak C Thomson, Zachary Weiss, Morgan DA Li, Xiao-jun Savage, Adam K Green, Richard R Torgerson, Troy R Bumol, Thomas F Graybuck, Lucas T Skene, Peter J eLife Genetics and Genomics 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. eLife Sciences Publications, Ltd 2021-04-09 /pmc/articles/PMC8034981/ /pubmed/33835024 http://dx.doi.org/10.7554/eLife.63632 Text en © 2021, Swanson et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Genetics and Genomics
Swanson, Elliott
Lord, Cara
Reading, Julian
Heubeck, Alexander T
Genge, Palak C
Thomson, Zachary
Weiss, Morgan DA
Li, Xiao-jun
Savage, Adam K
Green, Richard R
Torgerson, Troy R
Bumol, Thomas F
Graybuck, Lucas T
Skene, Peter J
Simultaneous trimodal single-cell measurement of transcripts, epitopes, and chromatin accessibility using TEA-seq
title Simultaneous trimodal single-cell measurement of transcripts, epitopes, and chromatin accessibility using TEA-seq
title_full Simultaneous trimodal single-cell measurement of transcripts, epitopes, and chromatin accessibility using TEA-seq
title_fullStr Simultaneous trimodal single-cell measurement of transcripts, epitopes, and chromatin accessibility using TEA-seq
title_full_unstemmed Simultaneous trimodal single-cell measurement of transcripts, epitopes, and chromatin accessibility using TEA-seq
title_short Simultaneous trimodal single-cell measurement of transcripts, epitopes, and chromatin accessibility using TEA-seq
title_sort simultaneous trimodal single-cell measurement of transcripts, epitopes, and chromatin accessibility using tea-seq
topic Genetics and Genomics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8034981/
https://www.ncbi.nlm.nih.gov/pubmed/33835024
http://dx.doi.org/10.7554/eLife.63632
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