DigiDermA: Modeling Cellular and Molecular Interactions in Atopic Dermatitis

We analyzed publicly available single-cell RNA sequencing data (GEO accession GSE147424) derived from human skin biopsies of lesional and non-lesional atopic dermatitis samples and healthy controls [7]. This dataset provided the basis for characterizing the cellular composition (Figure 3) and identifying differentially expressed genes between conditions. Functional enrichment analysis using KEGG pathways was performed to map gene expression changes to biological processes. The results of this analysis were integrated into a conceptual model (Figure 5) of the skin microenvironment, which served as the basis for computational modeling carried out using the SimuScale modeling platform [3].

Conference paper

In JOBIM 2025 - Journées Ouvertes en Biologie, Informatique et Mathématiques