SC2sepsis

SC2sepsis provides a curated single-cell RNA sequencing (scRNA-seq) whole-gene expression database integrating human peripheral blood mononuclear cell (PBMC) transcriptomes from 45 septic patients and 26 healthy controls (232,226 single-cell transcriptomes) to support comparative analyses of sepsis-related immune responses.

Key Features:

• Comprehensive data integration: Integrates scRNA-seq whole-gene expression profiles from human PBMCs across 45 septic patients and 26 healthy controls totaling 232,226 single-cell transcriptomes.
• Differential gene expression analysis: Identifies 1,988 differentially expressed genes between septic patients and healthy controls for cell-type-resolved signature discovery.
• Automatic cell-type annotation: Provides automated annotation of cell populations to enable identification and classification of immune cell types involved in sepsis.

Scientific Applications:

• Immunopathology studies: Enable elucidation of immune dysregulation and cell-type-specific molecular mechanisms underlying sepsis.
• Biomarker identification: Support discovery of sepsis-associated gene expression signatures for potential diagnostic or prognostic biomarkers.
• Therapeutic target discovery: Facilitate exploration of molecular pathways and differentially expressed genes as candidate therapeutic targets.
• Personalized medicine research: Aid development of patient-stratified approaches by comparing individual and cohort-level PBMC transcriptomic profiles.

Methodology:

Integration of scRNA-seq data from human PBMCs (45 septic patients, 26 healthy controls; 232,226 single-cell transcriptomes), automated cell-type annotation, and differential gene expression analysis identifying 1,988 DEGs.