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- 0750 Proteomics and transcriptomics profiling define molecular subtypes of advanced cutaneous T cell lymphoma and prognostic biomarkers
- Identifying molecular targets for reverse aging using integrated network analysis of transcriptomic and epigenomic changes during aging
- 1616 Cross-comparison of inflammatory skin disease transcriptomics identifies PTEN as a pathogenic disease classifier in cutaneous lupus erythematosus
- Transcriptome analysis of frontal fibrosis alopecia revealed involvement of immune cells and ferroptosis
- Integrated Meta-Analysis of Scalp Transcriptomics and Serum Proteomics Defines Alopecia Areata Subtypes and Core Disease Pathways
- Comprehensive transcriptome profiling between balding and non-balding scalp of female pattern hair loss in Asian
- Ritlecitinib and brepocitinib demonstrate significant improvement in scalp alopecia areata biomarkers
- Comprehensive transcriptome profiling between balding and non-balding scalp of Female pattern hair loss in Asian
- Cell‐free transcriptomic profiles and mechanism insights in female androgenetic alopecia
- Non-invasive human skin transcriptome analysis using mRNA in skin surface lipids
- A single-cell transcriptome atlas during Cashmere goat hair follicle morphogenesis
- A translational approach to improve therapeutics in atopic dermatitis and beyond
- The role of multiomics in revealing the mechanism of skin repair and regeneration
- Multi-omics and AI-driven advances in miRNA-mediated hair follicle regulation in cashmere goats
- Recent progress in hair follicle stem cell markers and their regulatory roles
- Identification of Potential Biomarkers for Diagnosis of Patients with Methamphetamine Use Disorder
- Human hair follicle transcriptome profiling: a minimally invasive tool to assess molecular adaptations upon low‐volume, high‐intensity interval training
- Integrated Analysis of Methylome and Transcriptome Changes Reveals the Underlying Regulatory Signatures Driving Curly Wool Transformation in Chinese Zhongwei Goats
- Identification of Epigenetic Regulator‐Associated Genes in Keloid Disease Through Integrated Bulk and Single‐Cell Transcriptomics With RT ‐ qPCR Validation
- Multi-omics analysis unveils the role of cancer-associated fibroblasts in cutaneous squamous cell carcinoma
- Transcriptome Dynamics Reveal Stage-Specific and Melatonin-Triggered Gene Expression Patterns During The Cashmere Growth Cycle in Capra Hircus
- Uncovering novel biomarkers and drug targets for androgenetic alopecia via metabolite regulation and multi-tissue validation
- A single-cell transcriptomic atlas elucidates the hair cycle and apoptosis mechanisms in goat hair follicles
- Integrated multiple machine learning and Mendelian randomization reveal LTF gene as a prognostic biomarker for nonspecific orbital inflammation
- Identification of SLC40A1, LCN2, CREB5, and SLC7A11 as ferroptosis-related biomarkers in alopecia areata through machine learning
- Randomized Controlled Trial of the Topical Jak Inhibitor Delgocitinib Cream in Patients with Frontal Fibrosing Alopecia
- Bioinformatics analysis and verification of m6A related genes based on the construction of keloid diagnostic model
- Application of multi-omics techniques to androgenetic alopecia: Current status and perspectives
- 132 Design of an in vitro skin 3D model mimicking a disruption of the barrier function
- Revisiting the significance of keratin expression in complex epithelia