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Multi-omics analysis in developmental bone biology

Single-cell omics and multi-omics have revolutionized our understanding of molecular and cellular biological processes at a single-cell level. In bone biology, the combination of single-cell RNA-sequencing analyses and in vivo lineage-tracing approaches has successfully identified multi-cellular div...

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Autores principales: Matsushita, Yuki, Noguchi, Azumi, Ono, Wanida, Ono, Noriaki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10665596/
https://www.ncbi.nlm.nih.gov/pubmed/38022387
http://dx.doi.org/10.1016/j.jdsr.2023.10.006
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author Matsushita, Yuki
Noguchi, Azumi
Ono, Wanida
Ono, Noriaki
author_facet Matsushita, Yuki
Noguchi, Azumi
Ono, Wanida
Ono, Noriaki
author_sort Matsushita, Yuki
collection PubMed
description Single-cell omics and multi-omics have revolutionized our understanding of molecular and cellular biological processes at a single-cell level. In bone biology, the combination of single-cell RNA-sequencing analyses and in vivo lineage-tracing approaches has successfully identified multi-cellular diversity and dynamics of skeletal cells. This established a new concept that bone growth and regeneration are regulated by concerted actions of multiple types of skeletal stem cells, which reside in spatiotemporally distinct niches. One important subtype is endosteal stem cells that are particularly abundant in young bone marrow. The discovery of this new skeletal stem cell type has been facilitated by single-cell multi-omics, which simultaneously measures gene expression and chromatin accessibility. Using single-cell omics, it is now possible to computationally predict the immediate future state of individual cells and their differentiation potential. In vivo validation using histological approaches is the key to interpret the computational prediction. The emerging spatial omics, such as spatial transcriptomics and epigenomics, have major advantage in retaining the location of individual cells within highly complex tissue architecture. Spatial omics can be integrated with other omics to further obtain in-depth insights. Single-cell multi-omics are now becoming an essential tool to unravel intricate multicellular dynamics and intercellular interactions of skeletal cells.
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spelling pubmed-106655962023-11-10 Multi-omics analysis in developmental bone biology Matsushita, Yuki Noguchi, Azumi Ono, Wanida Ono, Noriaki Jpn Dent Sci Rev Article Single-cell omics and multi-omics have revolutionized our understanding of molecular and cellular biological processes at a single-cell level. In bone biology, the combination of single-cell RNA-sequencing analyses and in vivo lineage-tracing approaches has successfully identified multi-cellular diversity and dynamics of skeletal cells. This established a new concept that bone growth and regeneration are regulated by concerted actions of multiple types of skeletal stem cells, which reside in spatiotemporally distinct niches. One important subtype is endosteal stem cells that are particularly abundant in young bone marrow. The discovery of this new skeletal stem cell type has been facilitated by single-cell multi-omics, which simultaneously measures gene expression and chromatin accessibility. Using single-cell omics, it is now possible to computationally predict the immediate future state of individual cells and their differentiation potential. In vivo validation using histological approaches is the key to interpret the computational prediction. The emerging spatial omics, such as spatial transcriptomics and epigenomics, have major advantage in retaining the location of individual cells within highly complex tissue architecture. Spatial omics can be integrated with other omics to further obtain in-depth insights. Single-cell multi-omics are now becoming an essential tool to unravel intricate multicellular dynamics and intercellular interactions of skeletal cells. Elsevier 2023-12 2023-11-10 /pmc/articles/PMC10665596/ /pubmed/38022387 http://dx.doi.org/10.1016/j.jdsr.2023.10.006 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Matsushita, Yuki
Noguchi, Azumi
Ono, Wanida
Ono, Noriaki
Multi-omics analysis in developmental bone biology
title Multi-omics analysis in developmental bone biology
title_full Multi-omics analysis in developmental bone biology
title_fullStr Multi-omics analysis in developmental bone biology
title_full_unstemmed Multi-omics analysis in developmental bone biology
title_short Multi-omics analysis in developmental bone biology
title_sort multi-omics analysis in developmental bone biology
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10665596/
https://www.ncbi.nlm.nih.gov/pubmed/38022387
http://dx.doi.org/10.1016/j.jdsr.2023.10.006
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