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Related Experiment Video

Updated: Jun 17, 2026

Resolving Water, Proteins, and Lipids from In Vivo Confocal Raman Spectra of Stratum Corneum through a Chemometric Approach
09:32

Resolving Water, Proteins, and Lipids from In Vivo Confocal Raman Spectra of Stratum Corneum through a Chemometric Approach

Published on: September 26, 2019

Transcriptomic Analysis Reveals Mitochondrial-Driven Subgroups in Atopic Dermatitis Lesions.

Yingyao Yu1, Yuanyuan Shang1, Xinhong Ge1

  • 1Department of Dermatology, General Hospital of Ningxia Medical University.

Journal of Visualized Experiments : Jove
|June 15, 2026
PubMed
Summary
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This study identified two distinct molecular subtypes of atopic dermatitis (AD) by analyzing skin gene expression. These subtypes differ in mitochondrial function and immune cell profiles, offering new therapeutic targets for this chronic skin disease.

Area of Science:

  • Dermatology
  • Genomics
  • Immunology

Background:

  • Atopic dermatitis (AD) is a prevalent, chronic inflammatory skin condition with significant clinical and molecular heterogeneity.
  • This complexity presents challenges for developing effective AD therapies.

Purpose of the Study:

  • To investigate the molecular heterogeneity of AD using transcriptomic data from lesional skin.
  • To characterize the biological and immune profiles of AD molecular subtypes.
  • To identify key genes driving AD subtype differentiation.

Main Methods:

  • Differential gene expression analysis (DESeq2), gene set enrichment analysis (GSEA), and weighted gene co-expression network analysis (WGCNA) were employed.
  • Mitochondrial genes were identified and functionally assessed using GO and KEGG enrichment.

Related Experiment Videos

Last Updated: Jun 17, 2026

Resolving Water, Proteins, and Lipids from In Vivo Confocal Raman Spectra of Stratum Corneum through a Chemometric Approach
09:32

Resolving Water, Proteins, and Lipids from In Vivo Confocal Raman Spectra of Stratum Corneum through a Chemometric Approach

Published on: September 26, 2019

  • Protein-protein interaction (PPI) network analysis identified hub genes for classification model construction.
  • Transcriptional regulators and immune cell infiltration were predicted and quantified.

    • Main Results:

    • Two distinct molecular AD subgroups were identified.
    • Cluster 1 showed enrichment in cell signaling and adhesion pathways, while Cluster 2 had upregulated oxidative phosphorylation and proteasome pathways.
    • Eighty-five differentially expressed mitochondrial genes related to energy metabolism were found.
    • Four hub genes (BAD, BOLA1, CHCHD5, ISOC2) were identified and significantly upregulated in Cluster 1.
    • A classifier based on hub genes showed strong discriminatory power (AUC > 0.7).
    • Key regulators like ATF3, BRD2, BRD4, and CEBPA were predicted.
    • Immune profiling indicated higher regulatory T cell infiltration in Cluster 1 and increased follicular helper T cells in Cluster 2.

    Conclusions:

    • This study reveals two molecularly and immunologically distinct AD subtypes.
    • These subtypes are characterized by differential mitochondrial function and immune microenvironment signatures.
    • The findings provide insights into AD pathogenesis and potential therapeutic strategies.