scMoresDB: A comprehensive database of single-cell multi-omics data for human respiratory system

Area of Science:

• Pulmonary Medicine
• Bioinformatics
• Genomics

Background:

• The human respiratory system is susceptible to numerous diseases.
• Single-cell sequencing provides high-resolution molecular and phenotypic data for respiratory disease research.
• Increasing single-cell data volume presents significant challenges for sharing and analysis.

Purpose of the Study:

• To introduce scMoresDB, a novel database platform for single-cell multi-omics data.
• To facilitate comprehensive data sharing and integrative analysis of respiratory disease datasets.
• To enhance the accessibility and utility of single-cell data for respiratory research.

Main Methods:

• Development of a user-friendly database platform, scMoresDB.
• Re-analysis of single-cell multi-omics datasets.
• Implementation of cross-omics search, interactive visualizations, and analytical tools.

Main Results:

• scMoresDB offers extensive omics types tailored for human respiratory diseases.
• The platform enables user-friendly data exploration and analysis.
• Example applications identified the BSG receptor's role in SARS-CoV-2 infection and HHIP/TGFB2 in COPD.

Conclusions:

• scMoresDB significantly improves the accessibility and utility of single-cell data for human respiratory diseases.
• The platform supports advanced data sharing and integrative analysis.
• Findings highlight potential therapeutic targets and disease mechanisms in respiratory conditions.