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Concurrent profiling of multiscale 3D genome organization and gene expression in single mammalian cells
The organization of mammalian genomes within the nucleus features a complex, multiscale three-dimensional (3D) architecture. The functional significance of these 3D genome features, however, remains largely elusive due to limited single-cell technologies that can concurrently profile genome organiza...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10401946/ https://www.ncbi.nlm.nih.gov/pubmed/37546900 http://dx.doi.org/10.1101/2023.07.20.549578 |
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author | Zhou, Tianming Zhang, Ruochi Jia, Deyong Doty, Raymond T. Munday, Adam D. Gao, Daniel Xin, Li Abkowitz, Janis L. Duan, Zhijun Ma, Jian |
author_facet | Zhou, Tianming Zhang, Ruochi Jia, Deyong Doty, Raymond T. Munday, Adam D. Gao, Daniel Xin, Li Abkowitz, Janis L. Duan, Zhijun Ma, Jian |
author_sort | Zhou, Tianming |
collection | PubMed |
description | The organization of mammalian genomes within the nucleus features a complex, multiscale three-dimensional (3D) architecture. The functional significance of these 3D genome features, however, remains largely elusive due to limited single-cell technologies that can concurrently profile genome organization and transcriptional activities. Here, we report GAGE-seq, a highly scalable, robust single-cell co-assay that simultaneously measures 3D genome structure and transcriptome within the same cell. Employing GAGE-seq on mouse brain cortex and human bone marrow CD34+ cells, we comprehensively characterized the intricate relationships between 3D genome and gene expression. We found that these multiscale 3D genome features collectively inform cell type-specific gene expressions, hence contributing to defining cell identity at the single-cell level. Integration of GAGE-seq data with spatial transcriptomic data revealed in situ variations of the 3D genome in mouse cortex. Moreover, our observations of lineage commitment in normal human hematopoiesis unveiled notable discordant changes between 3D genome organization and gene expression, underscoring a complex, temporal interplay at the single-cell level that is more nuanced than previously appreciated. Together, GAGE-seq provides a powerful, cost-effective approach for interrogating genome structure and gene expression relationships at the single-cell level across diverse biological contexts. |
format | Online Article Text |
id | pubmed-10401946 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-104019462023-08-05 Concurrent profiling of multiscale 3D genome organization and gene expression in single mammalian cells Zhou, Tianming Zhang, Ruochi Jia, Deyong Doty, Raymond T. Munday, Adam D. Gao, Daniel Xin, Li Abkowitz, Janis L. Duan, Zhijun Ma, Jian bioRxiv Article The organization of mammalian genomes within the nucleus features a complex, multiscale three-dimensional (3D) architecture. The functional significance of these 3D genome features, however, remains largely elusive due to limited single-cell technologies that can concurrently profile genome organization and transcriptional activities. Here, we report GAGE-seq, a highly scalable, robust single-cell co-assay that simultaneously measures 3D genome structure and transcriptome within the same cell. Employing GAGE-seq on mouse brain cortex and human bone marrow CD34+ cells, we comprehensively characterized the intricate relationships between 3D genome and gene expression. We found that these multiscale 3D genome features collectively inform cell type-specific gene expressions, hence contributing to defining cell identity at the single-cell level. Integration of GAGE-seq data with spatial transcriptomic data revealed in situ variations of the 3D genome in mouse cortex. Moreover, our observations of lineage commitment in normal human hematopoiesis unveiled notable discordant changes between 3D genome organization and gene expression, underscoring a complex, temporal interplay at the single-cell level that is more nuanced than previously appreciated. Together, GAGE-seq provides a powerful, cost-effective approach for interrogating genome structure and gene expression relationships at the single-cell level across diverse biological contexts. Cold Spring Harbor Laboratory 2023-07-25 /pmc/articles/PMC10401946/ /pubmed/37546900 http://dx.doi.org/10.1101/2023.07.20.549578 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator. |
spellingShingle | Article Zhou, Tianming Zhang, Ruochi Jia, Deyong Doty, Raymond T. Munday, Adam D. Gao, Daniel Xin, Li Abkowitz, Janis L. Duan, Zhijun Ma, Jian Concurrent profiling of multiscale 3D genome organization and gene expression in single mammalian cells |
title | Concurrent profiling of multiscale 3D genome organization and gene expression in single mammalian cells |
title_full | Concurrent profiling of multiscale 3D genome organization and gene expression in single mammalian cells |
title_fullStr | Concurrent profiling of multiscale 3D genome organization and gene expression in single mammalian cells |
title_full_unstemmed | Concurrent profiling of multiscale 3D genome organization and gene expression in single mammalian cells |
title_short | Concurrent profiling of multiscale 3D genome organization and gene expression in single mammalian cells |
title_sort | concurrent profiling of multiscale 3d genome organization and gene expression in single mammalian cells |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10401946/ https://www.ncbi.nlm.nih.gov/pubmed/37546900 http://dx.doi.org/10.1101/2023.07.20.549578 |
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