Single-cell Proteomic DataBase

Single-cell Proteomic DataBase aggregates and standardizes antibody-based and mass spectrometry-based single-cell proteomic datasets to enable quantitative analysis of protein abundance and cellular heterogeneity at single-cell resolution.

Key Features:

• Comprehensive Data Repository: Hosts 133 antibody-based single-cell proteomic datasets comprising over 300 million cells and more than 800 marker/surface proteins, and 10 mass spectrometry-based single-cell proteomic datasets comprising over 4,000 cells and more than 7,000 proteins.
• Standardized Data Processing: Employs standardized data processing protocols to ensure consistency and comparability across datasets.
• Visualization Module: Provides visualization capabilities for inspecting cell metadata and protein-specific features to support interpretation of single-cell proteomic patterns.

Scientific Applications:

• Single-cell protein quantification: Enables direct quantification of protein abundance at single-cell resolution, complementing transcriptome-based analyses.
• Cellular heterogeneity analysis: Supports analysis of cellular heterogeneity by comparing protein expression across individual cells.
• Biomarker discovery: Facilitates identification of novel protein biomarkers through single-cell resolution expression patterns.
• Integrative proteomics: Enables integrative analyses combining antibody-based and mass spectrometry-based single-cell proteomic data.

Methodology:

Integrated diverse antibody-based and mass spectrometry-based single-cell proteomic datasets using standardized data processing techniques to ensure uniformity and accuracy.