HUSCH

HUSCH aggregates and uniformly processes nearly 3 million human single-cell RNA sequencing (scRNA-seq) profiles from 185 datasets across 45 tissues to enable comparative analysis of gene expression, differential expression, transcription regulator identification, and cell–cell interaction analysis.

Key Features:

• Extensive Data Integration: Consolidation of nearly 3 million cells from 185 high-quality scRNA-seq datasets spanning 45 human tissues with uniform processing and annotation.
• Uniform Processing and Annotation: Standardized data processing workflows applied to ensure consistency in dataset annotation and analysis.
• Gene Expression Visualization: Single-cell and cluster-level gene expression visualization for exploration of expression patterns within and across datasets.
• Functional Analyses: Identification of differentially expressed genes and transcription regulators to characterize cell-type-specific programs.
• Cell–Cell Interaction Analysis: Analyses to infer and evaluate putative cell–cell interactions from single-cell transcriptomic profiles.
• Cross-dataset Integration: Integration across multiple datasets within tissue modules using batch correction and cell type harmonization to enable comparative analyses across sources and platforms.

Scientific Applications:

• Cell Type Differentiation Studies: Analysis of gene expression heterogeneity to investigate mechanisms of cell type specification and differentiation.
• Disease Mechanism and Progression Analysis: Comparison of cell-type-specific expression patterns to study disease occurrence and progression.
• Comparative Tissue-specific Expression Profiling: Cross-dataset and cross-platform comparison of gene expression within specific human tissues.
• Translational Research: Support for studies aiming to link cellular diversity and function to translational medicine questions.

Methodology:

Standardized data processing workflows with uniform dataset annotation, batch correction, cell type harmonization, and integration of multiple scRNA-seq datasets within tissue modules.