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Characterizing cellular heterogeneity in chromatin state with scCUT&Tag-pro
Technologies that profile chromatin modifications at single-cell resolution offer enormous promise for functional genomic characterization, but the sparsity of the measurements and integrating multiple binding maps represent substantial challenges. Here we introduce scCUT&Tag-pro, a multimodal a...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9378363/ https://www.ncbi.nlm.nih.gov/pubmed/35332340 http://dx.doi.org/10.1038/s41587-022-01250-0 |
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author | Zhang, Bingjie Srivastava, Avi Mimitou, Eleni Stuart, Tim Raimondi, Ivan Hao, Yuhan Smibert, Peter Satija, Rahul |
author_facet | Zhang, Bingjie Srivastava, Avi Mimitou, Eleni Stuart, Tim Raimondi, Ivan Hao, Yuhan Smibert, Peter Satija, Rahul |
author_sort | Zhang, Bingjie |
collection | PubMed |
description | Technologies that profile chromatin modifications at single-cell resolution offer enormous promise for functional genomic characterization, but the sparsity of the measurements and integrating multiple binding maps represent substantial challenges. Here we introduce scCUT&Tag-pro, a multimodal assay for profiling protein-DNA interactions coupled with the abundance of surface proteins in single cells. In addition, we introduce scChromHMM, which integrates data from multiple experiments to infer and annotate chromatin states based on combinatorial histone modification patterns. We apply these tools to perform an integrated analysis across nine different molecular modalities in circulating human immune cells. We demonstrate how these two approaches can characterize dynamic changes in the function of individual genomic elements across both discrete cell states and continuous developmental trajectories, nominate associated motifs and regulators that establish chromatin states, and identify extensive and cell type-specific regulatory priming. Finally, we demonstrate how our integrated reference can serve as a scaffold to map and improve the interpretation of additional scCUT&Tag datasets. |
format | Online Article Text |
id | pubmed-9378363 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
record_format | MEDLINE/PubMed |
spelling | pubmed-93783632022-09-24 Characterizing cellular heterogeneity in chromatin state with scCUT&Tag-pro Zhang, Bingjie Srivastava, Avi Mimitou, Eleni Stuart, Tim Raimondi, Ivan Hao, Yuhan Smibert, Peter Satija, Rahul Nat Biotechnol Article Technologies that profile chromatin modifications at single-cell resolution offer enormous promise for functional genomic characterization, but the sparsity of the measurements and integrating multiple binding maps represent substantial challenges. Here we introduce scCUT&Tag-pro, a multimodal assay for profiling protein-DNA interactions coupled with the abundance of surface proteins in single cells. In addition, we introduce scChromHMM, which integrates data from multiple experiments to infer and annotate chromatin states based on combinatorial histone modification patterns. We apply these tools to perform an integrated analysis across nine different molecular modalities in circulating human immune cells. We demonstrate how these two approaches can characterize dynamic changes in the function of individual genomic elements across both discrete cell states and continuous developmental trajectories, nominate associated motifs and regulators that establish chromatin states, and identify extensive and cell type-specific regulatory priming. Finally, we demonstrate how our integrated reference can serve as a scaffold to map and improve the interpretation of additional scCUT&Tag datasets. 2022-08 2022-03-24 /pmc/articles/PMC9378363/ /pubmed/35332340 http://dx.doi.org/10.1038/s41587-022-01250-0 Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms |
spellingShingle | Article Zhang, Bingjie Srivastava, Avi Mimitou, Eleni Stuart, Tim Raimondi, Ivan Hao, Yuhan Smibert, Peter Satija, Rahul Characterizing cellular heterogeneity in chromatin state with scCUT&Tag-pro |
title | Characterizing cellular heterogeneity in chromatin state with scCUT&Tag-pro |
title_full | Characterizing cellular heterogeneity in chromatin state with scCUT&Tag-pro |
title_fullStr | Characterizing cellular heterogeneity in chromatin state with scCUT&Tag-pro |
title_full_unstemmed | Characterizing cellular heterogeneity in chromatin state with scCUT&Tag-pro |
title_short | Characterizing cellular heterogeneity in chromatin state with scCUT&Tag-pro |
title_sort | characterizing cellular heterogeneity in chromatin state with sccut&tag-pro |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9378363/ https://www.ncbi.nlm.nih.gov/pubmed/35332340 http://dx.doi.org/10.1038/s41587-022-01250-0 |
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