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An advanced ADSC therapy for keloid prevention using identification of functional subgroups by single cell transcriptomic analysis

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NIAID Data Ecosystem2026-05-01 收录
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE233884
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The clinical treatments for keloids are poor efficacy,There is evidence forADSCs acting as a physiological response to local injury or as rejuvenating mechanisms.But the use of exogenous ADSCs fulfill the general accepted criteria for cell-based therapies, but still need further investigations into their efficiency. In this study, we firstly employed microarray techniques and bioinformatics analysis to screen for whole transcriptome differences involved in keloids, enabling the identification of DEGs and functional molecular associated with keloids mechanism. Secondly, we developed functional clustering of stem cells and marker genes of each cluster through single cell sequencing of ADSCs from healthy adults and pigs by bioinformatics analysis. Finally, we identified ADSC subpopulations with KK and KF therapeutic potential, respectively. anti-fibrotic transcriptomic identification and quantitative clustering was performed, and the function of specific ADSCs cluster was investigated in the hypertrophic scar prophylaxis using the miniature pig model. This study might open the way to a new era of mesenchymal stem cells in the treatment of keloids for promising therapeutic advancements. pADSCs were isolated from Bama miniature pigs adipose tissue,and analyzed using scRNAseq.
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2023-06-29
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