MAPDP: A Cloud-Based Computational Platform for Immunopeptidomics Analyses.

Area of Science:

• Immunology
• Proteomics
• Computational Biology

Background:

• The immunopeptidome, peptides presented by MHC molecules, is crucial for T-cell recognition of abnormal cells.
• Identifying actionable targets within the immunopeptidome is vital for developing cancer vaccines and T-cell therapies.

Purpose of the Study:

• To develop a novel, open-source, cloud-based computational platform, the MHC-associated Peptide Discovery Platform (MAPDP), for efficient immunopeptidomic analysis.
• To manage and analyze the vast datasets generated by high-throughput proteogenomic platforms.

Main Methods:

• Development of MAPDP, a cloud-based platform with a web portal for data access, filtering, visualization, and annotation.
• Integration of tools for peptide-binding affinity prediction, HLA genotyping, and personalized proteome database generation.
• Application of MAPDP to analyze existing ovarian carcinoma datasets.

Main Results:

• MAPDP provides system-level analysis of MHC-associated peptides, improving sensitivity and throughput.
• The platform facilitates access to immunopeptidomes, enabling filtering, visualization, and annotation with external databases.
• Demonstrated MAPDP's utility in discovering MHC peptides with novel genetic variants in ovarian cancer datasets.

Conclusions:

• MAPDP is a powerful, user-friendly tool for comprehensive immunopeptidomic analysis.
• The platform supports the identification of therapeutic targets by analyzing MHC-presented peptides and genetic variations.
• MAPDP accelerates research in cancer immunology and the development of T-cell-based therapies.