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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...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2021
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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. |
format | Online Article Text |
id | pubmed-8034981 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
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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