Project name: Integrated analysis of single-cell and spatial transcriptomics in keloids

Description: To uncover the underlying pathophysiology of keloids, we used two technologies, single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (ST). we focused on the molecular signature of keloids. In this study, we provide the comprehensive transcriptomic atlas of keloids and its matched spatial information, essential to understanding intercellular crosstalk in the skin microenvironments.Overall design: We employed scRNA-seq on two keloid samples using the platform of 10X Genomics. To further assess the spatial heterogeneity and organization of keloid FBs, we performed ST analysis on tissue from keloid specimens (2 sections from 2 samples including one scRNA-seq paired sample). To confirm the study results, we further applied ST on two independent normal skin sections . Normal skin samples from skin cancer excision were used for ST analysis.

Data type: Transcriptome or Gene expression

Sample scope: Multiisolate

Relevance: Medical

Last updated: 2021-08-02