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Mapping the regulatory landscape of auditory hair cells from single-cell multi-omics data

Auditory hair cells transduce sound to the brain, and in mammals, these cells reside together with supporting cells in the sensory epithelium of the cochlea, called the organ of Corti. To establish the organ's delicate function during development and differentiation, spatiotemporal gene express...

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Autores principales: Wang, Shuze, Lee, Mary P., Jones, Scott, Liu, Jie, Waldhaus, Joerg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8494220/
https://www.ncbi.nlm.nih.gov/pubmed/33837132
http://dx.doi.org/10.1101/gr.271080.120
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author Wang, Shuze
Lee, Mary P.
Jones, Scott
Liu, Jie
Waldhaus, Joerg
author_facet Wang, Shuze
Lee, Mary P.
Jones, Scott
Liu, Jie
Waldhaus, Joerg
author_sort Wang, Shuze
collection PubMed
description Auditory hair cells transduce sound to the brain, and in mammals, these cells reside together with supporting cells in the sensory epithelium of the cochlea, called the organ of Corti. To establish the organ's delicate function during development and differentiation, spatiotemporal gene expression is strictly controlled by chromatin accessibility and cell type–specific transcription factors, jointly representing the regulatory landscape. Bulk sequencing technology and cellular heterogeneity obscured investigations on the interplay between transcription factors and chromatin accessibility in inner ear development. To study the formation of the regulatory landscape in hair cells, we collected single-cell chromatin accessibility profiles accompanied by single-cell RNA data from genetically labeled murine hair cells and supporting cells after birth. Using an integrative approach, we predicted cell type–specific activating and repressing functions of developmental transcription factors. Furthermore, by integrating gene expression and chromatin accessibility data sets, we reconstructed gene regulatory networks. Then, using a comparative approach, 20 hair cell–specific activators and repressors, including putative downstream target genes, were identified. Clustering of target genes resolved groups of related transcription factors and was used to infer their developmental functions. Finally, the heterogeneity in the single-cell data allowed us to spatially reconstruct transcriptional as well as chromatin accessibility trajectories, indicating that gradual changes in the chromatin accessibility landscape are lagging behind the transcriptional identity of hair cells along the organ's longitudinal axis. Overall, this study provides a strategy to spatially reconstruct the formation of a lineage-specific regulatory landscape using a single-cell multi-omics approach.
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spelling pubmed-84942202022-04-01 Mapping the regulatory landscape of auditory hair cells from single-cell multi-omics data Wang, Shuze Lee, Mary P. Jones, Scott Liu, Jie Waldhaus, Joerg Genome Res Method Auditory hair cells transduce sound to the brain, and in mammals, these cells reside together with supporting cells in the sensory epithelium of the cochlea, called the organ of Corti. To establish the organ's delicate function during development and differentiation, spatiotemporal gene expression is strictly controlled by chromatin accessibility and cell type–specific transcription factors, jointly representing the regulatory landscape. Bulk sequencing technology and cellular heterogeneity obscured investigations on the interplay between transcription factors and chromatin accessibility in inner ear development. To study the formation of the regulatory landscape in hair cells, we collected single-cell chromatin accessibility profiles accompanied by single-cell RNA data from genetically labeled murine hair cells and supporting cells after birth. Using an integrative approach, we predicted cell type–specific activating and repressing functions of developmental transcription factors. Furthermore, by integrating gene expression and chromatin accessibility data sets, we reconstructed gene regulatory networks. Then, using a comparative approach, 20 hair cell–specific activators and repressors, including putative downstream target genes, were identified. Clustering of target genes resolved groups of related transcription factors and was used to infer their developmental functions. Finally, the heterogeneity in the single-cell data allowed us to spatially reconstruct transcriptional as well as chromatin accessibility trajectories, indicating that gradual changes in the chromatin accessibility landscape are lagging behind the transcriptional identity of hair cells along the organ's longitudinal axis. Overall, this study provides a strategy to spatially reconstruct the formation of a lineage-specific regulatory landscape using a single-cell multi-omics approach. Cold Spring Harbor Laboratory Press 2021-10 /pmc/articles/PMC8494220/ /pubmed/33837132 http://dx.doi.org/10.1101/gr.271080.120 Text en © 2021 Wang et al.; Published by Cold Spring Harbor Laboratory Press https://creativecommons.org/licenses/by-nc/4.0/This article is distributed exclusively by Cold Spring Harbor Laboratory Press for the first six months after the full-issue publication date (see https://genome.cshlp.org/site/misc/terms.xhtml). After six months, it is available under a Creative Commons License (Attribution-NonCommercial 4.0 International), as described at http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Method
Wang, Shuze
Lee, Mary P.
Jones, Scott
Liu, Jie
Waldhaus, Joerg
Mapping the regulatory landscape of auditory hair cells from single-cell multi-omics data
title Mapping the regulatory landscape of auditory hair cells from single-cell multi-omics data
title_full Mapping the regulatory landscape of auditory hair cells from single-cell multi-omics data
title_fullStr Mapping the regulatory landscape of auditory hair cells from single-cell multi-omics data
title_full_unstemmed Mapping the regulatory landscape of auditory hair cells from single-cell multi-omics data
title_short Mapping the regulatory landscape of auditory hair cells from single-cell multi-omics data
title_sort mapping the regulatory landscape of auditory hair cells from single-cell multi-omics data
topic Method
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8494220/
https://www.ncbi.nlm.nih.gov/pubmed/33837132
http://dx.doi.org/10.1101/gr.271080.120
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