Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Xia, Yijun, Wang, Youbin, Shan, Mengjie, Hao, Yan, Liang, Zhengyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
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
_version_ 1785054588256124928
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
work_keys_str_mv AT xiayijun decodingthemolecularlandscapeofkeloidsnewinsightsfromsinglecelltranscriptomics
AT wangyoubin decodingthemolecularlandscapeofkeloidsnewinsightsfromsinglecelltranscriptomics
AT shanmengjie decodingthemolecularlandscapeofkeloidsnewinsightsfromsinglecelltranscriptomics
AT haoyan decodingthemolecularlandscapeofkeloidsnewinsightsfromsinglecelltranscriptomics
AT liangzhengyun decodingthemolecularlandscapeofkeloidsnewinsightsfromsinglecelltranscriptomics