Figure 3. Exploratory re-analysis of the human skin GSE130973 single-cell RNA-seq atlas.
Authors/Creators
- 1. Siriraj Center of Research Excellence for Precision Medicine and Systems Pharmacology, Department of Pharmacology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand.
- 2. Department of Pharmacology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand.
Description
Overview
This repository contains the complete R pipeline to reproduce Figure 3 (Panels A–E)
from the manuscript:
Mitochondrial Redox Signaling in Dermal Fibroblasts as an Integrating Axis of UVR-Driven Skin Photoaging
Amphun Chaiboonchoe¹, Phetthinee Muanjumpon², Uraiwan Panich²*
The pipeline processes the public scRNA-seq dataset GSE130973 (Solé-Boldo et al. 2020, Commun Biol 3:1–12) to generate:
A)UMAP of all skin cell types (Fibroblast / Keratinocyte / Other)
B)Violin plots: Biogenesis and Quality Control module scores (aged vs young)
C)Pseudo-bulk heatmap: 7-module aging signature across 5 donors
D)Violin plots: all 7 pathway modules (mito competence + stress programs)
E)NicheNet bubble plot: Fibroblast→Keratinocyte ligand–receptor inference
Dataset
GSE130973 — Human skin dermis full-thickness punch biopsies
5 donors: 2 young (~25–35 yr), 3 aged (~60–70 yr)
Download: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE130973
Reference: Solé-Boldo L et al. (2020) Commun Biol 3, 188. doi:10.1038/s42003-020-0922-4
Files
README.md
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Additional details
Dates
- Created
-
2026-06-03
Software
- Programming language
- R