Machine learning and single‐cell transcriptome profiling reveal regulation of fibroblast activation...
Machine learning and single‐cell transcriptome profiling reveal regulation of fibroblast activation through THBS2/TGFβ1/P‐Smad 2/3 signalling pathway in hypertrophic scar
About this item
Full title
Author / Creator
Song, Binyu , Zhu, Yuhan , Zhao, Ying , Wang, Kai , Peng, Yixuan , Chen, Lin , Yu, Zhou and Song, Baoqiang
Journal title
Language
English
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Scope and Contents
Contents
Hypertrophic scar (HS) is a chronic inflammatory skin disorder characterized by excessive deposition of extracellular matrix, and the mechanisms underlying their formation remain poorly understood. We analysed scRNA‐seq data from samples of normal skin and HS. Using the hdWGCNA method, key gene modules of fibroblasts in HS were identified. Non‐nega...
Alternative Titles
Full title
Machine learning and single‐cell transcriptome profiling reveal regulation of fibroblast activation through THBS2/TGFβ1/P‐Smad 2/3 signalling pathway in hypertrophic scar
Authors, Artists and Contributors
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Record Identifier
TN_cdi_crossref_primary_10_1111_iwj_14481
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_1111_iwj_14481
Other Identifiers
ISSN
1742-4801
E-ISSN
1742-481X
DOI
10.1111/iwj.14481
