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Decoding the molecular landscape of keloids: new insights from single-cell transcriptomics
Keloids are a fibrotic disease caused by an excessive accumulation of extracellular matrix in the dermis; they have neoplasia-like properties of aggressive growth and high posttreatment recurrence rates. Therefore, it is imperative to gain additional insight into the pathobiology of keloid formation...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10244213/ https://www.ncbi.nlm.nih.gov/pubmed/37293384 http://dx.doi.org/10.1093/burnst/tkad017 |
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author | Xia, Yijun Wang, Youbin Shan, Mengjie Hao, Yan Liang, Zhengyun |
author_facet | Xia, Yijun Wang, Youbin Shan, Mengjie Hao, Yan Liang, Zhengyun |
author_sort | Xia, Yijun |
collection | PubMed |
description | Keloids are a fibrotic disease caused by an excessive accumulation of extracellular matrix in the dermis; they have neoplasia-like properties of aggressive growth and high posttreatment recurrence rates. Therefore, it is imperative to gain additional insight into the pathobiology of keloid formation. Single-cell RNA sequencing (scRNA-seq) technology has brought data-driven innovation to understanding the pathogenesis of keloids by breaking the limitations of traditional sequencing technologies to resolve cell composition and to distinguish functional cell subtypes at an unprecedented resolution. The present review aims to cover the application of scRNA-seq technology in keloids and its exploratory findings, including the depiction of the cellular landscape of keloids, fibroblast heterogeneity, the lineage development of Schwann cells and the mesenchymal-activation phenomenon of endothelial cells. Furthermore, scRNA-seq records the transcriptional profiles of fibroblasts and immune cells in a more refined manner, and this gene expression information provides excellent material for inferring intercellular communication networks and lays an important theoretical foundation for future studies. |
format | Online Article Text |
id | pubmed-10244213 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-102442132023-06-08 Decoding the molecular landscape of keloids: new insights from single-cell transcriptomics Xia, Yijun Wang, Youbin Shan, Mengjie Hao, Yan Liang, Zhengyun Burns Trauma Review Keloids are a fibrotic disease caused by an excessive accumulation of extracellular matrix in the dermis; they have neoplasia-like properties of aggressive growth and high posttreatment recurrence rates. Therefore, it is imperative to gain additional insight into the pathobiology of keloid formation. Single-cell RNA sequencing (scRNA-seq) technology has brought data-driven innovation to understanding the pathogenesis of keloids by breaking the limitations of traditional sequencing technologies to resolve cell composition and to distinguish functional cell subtypes at an unprecedented resolution. The present review aims to cover the application of scRNA-seq technology in keloids and its exploratory findings, including the depiction of the cellular landscape of keloids, fibroblast heterogeneity, the lineage development of Schwann cells and the mesenchymal-activation phenomenon of endothelial cells. Furthermore, scRNA-seq records the transcriptional profiles of fibroblasts and immune cells in a more refined manner, and this gene expression information provides excellent material for inferring intercellular communication networks and lays an important theoretical foundation for future studies. Oxford University Press 2023-06-06 /pmc/articles/PMC10244213/ /pubmed/37293384 http://dx.doi.org/10.1093/burnst/tkad017 Text en © The Author(s) 2023. Published by Oxford University Press. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Review Xia, Yijun Wang, Youbin Shan, Mengjie Hao, Yan Liang, Zhengyun Decoding the molecular landscape of keloids: new insights from single-cell transcriptomics |
title | Decoding the molecular landscape of keloids: new insights from single-cell transcriptomics |
title_full | Decoding the molecular landscape of keloids: new insights from single-cell transcriptomics |
title_fullStr | Decoding the molecular landscape of keloids: new insights from single-cell transcriptomics |
title_full_unstemmed | Decoding the molecular landscape of keloids: new insights from single-cell transcriptomics |
title_short | Decoding the molecular landscape of keloids: new insights from single-cell transcriptomics |
title_sort | decoding the molecular landscape of keloids: new insights from single-cell transcriptomics |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10244213/ https://www.ncbi.nlm.nih.gov/pubmed/37293384 http://dx.doi.org/10.1093/burnst/tkad017 |
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