SkinMAP in Numbers
An extensive collection of skin cell data providing insights into skin biology
High-quality cells
Human "healthy" samples
Human "pathological" samples
Body sites
Developmental stages
Pathological status
Ethnic groups
Broad cell types
Cutting-Edge Skin Analysis
Explore our innovative approach to single-cell transcriptomics and skin biology analysis
From Single-cell Atlas to Predictive Bulk RNA-seq Analysis
SkinMAP is a comprehensive meta-atlas of skin single-cell RNA-seq data, built from manually curated and annotated public datasets. By integrating and structuring this wealth of data, we provide a powerful reference framework for bulk RNA-seq analysis, enabling advanced predictive modeling and cellular deconvolution.
A Curated Single-cell Reference: SkinMAP aggregates and harmonizes high-quality single-cell RNA-seq datasets, offering a robust baseline for skin transcriptomics studies.
Deconvolution & Cellularity Prediction: By leveraging our indexed metadata and reference profiles, we enable the decomposition of bulk RNA-seq signals to estimate cellular composition and identify key transcriptomic signatures.
Predictive Modeling: Beyond cellularity, our structured dataset supports the development of predictive models to infer tissue states, disease biomarkers, and functional pathway activity.
Metadata-driven Insights: Indexed annotations allow for context-aware analyses, integrating patient demographics, tissue conditions, and experimental variables for enhanced interpretability.
Comprehensive Cell Type Mapping
SkinMAP provides a detailed atlas of all major skin cell types, enabling researchers to understand the complex cellular architecture of human skin across different conditions, developmental stages, and anatomical locations.
9 Broad Cell Types: Including fibroblasts, melanocytes, keratinocytes, endothelial cells, and immune cells
Spatial Relationships: Understanding of cellular interactions and tissue architecture
Developmental Insights: Cell type distribution across different developmental stages and conditions
Subcellular Analysis
Our technology enables detailed subcellular analysis, providing insights into specific cell states and functions within each cell type, such as proliferating keratinocytes, stress-activated cells, and specialized subtypes.
Cell State Identification: Characterization of different functional states within cell types
Gene Expression Patterns: Visualization of gene expression across different cell populations
Biomarker Discovery: Identification of novel biomarkers for specific cell states and conditions
Transforming Skin Research
SkinMAP enables breakthrough discoveries and applications across multiple scientific and clinical domains
Dermatological Research
Advance understanding of skin diseases and conditions through comprehensive cellular analysis
Pharmaceutical Development
Accelerate drug discovery and development for skin-related therapeutics
Cosmetic Science
Enhance formulation development and efficacy testing for skincare products
Personalized Medicine
Enable tailored treatment approaches based on individual skin cellular profiles