SC2disease

SC2disease provides a curated database of gene expression profiles from single-cell RNA sequencing (scRNA-seq) studies of human diseases to enable cell-type-specific transcriptomic analysis.

Key Features:

• Comprehensive Data Collection: Aggregates scRNA-seq gene expression profiles from human samples published before March 2020, comprising 946,481 entries across 341 cell types, 29 tissues, and 25 diseases.
• Cell-Type-Specific Insights: Enables comparison of gene expression across cell types within diseases to identify cell-type-specific genes.
• Differential Gene Expression Analysis: Contains detailed differential gene expression comparisons among cell types, tissues, and health statuses.
• Unified Data Reanalysis: Applies a unified pipeline to reanalyze gene expression matrices for cross-study comparability.
• Integration with Genetic Studies: Correlates cell-type-specific genes with lead single nucleotide polymorphisms (SNPs) from genome-wide association studies (GWAS).

Scientific Applications:

• Identification of Disease Mechanisms: Supports exploration of cell-type-resolved gene expression changes to infer molecular mechanisms of disease.
• Biomarker Discovery: Facilitates identification of candidate biomarkers by highlighting genes differentially expressed in specific cell types.
• Therapeutic Target Identification: Aids selection of cell-type-specific candidate targets based on differential expression in disease contexts.
• Genetic Association Studies: Enables investigation of the cellular specificity of GWAS-identified SNPs via correlation with cell-type-specific genes.

Methodology:

Reanalysis of gene expression matrices using a unified pipeline, differential gene expression comparisons across cell types, tissues, and health statuses, and correlation of cell-type-specific genes with lead SNPs from GWAS.