CPPA

CPPA analyzes proteomic and phosphoproteomic mass spectrometry datasets to identify protein expression and phosphorylation abnormalities across cancer types.

Key Features:

• Data Mining Capabilities: Mines published proteomic and phosphoproteomic datasets to detect abnormalities across cancer types.
• Mass Spectrometry Dataset Integration: Integrates published mass spectrometry-derived proteomic and phosphoproteomic datasets for analysis.
• General Analysis: Provides overview metrics and summaries for proteomic and phosphoproteomic datasets.
• Differential Expression Profiling: Identifies proteins and phosphorylation sites with significant expression changes between normal and cancerous tissues.
• Statistical Analysis of Protein Phosphorylation Sites: Performs statistical assessments of phosphorylation sites to evaluate functional implications.
• Correlation Analysis: Assesses relationships between different proteomic variables.
• Similarity Analysis: Compares datasets to identify shared patterns or anomalies.
• Survival Analysis: Associates proteomic features with patient survival outcomes.
• Pathological Stage Analysis: Correlates proteomic changes with cancer pathological stages.
• Therapeutic Target Discovery: Supports identification and validation of potential therapeutic targets by integrating multiple analytical methods.

Scientific Applications:

• Biomarker Discovery: Identifies candidate protein and phosphorylation biomarkers for cancer diagnosis.
• Prognostic Marker Identification: Links proteomic features to patient survival and pathological stage for prognosis.
• Molecular Characterization of Cancer: Characterizes protein expression and phosphorylation patterns to uncover molecular underpinnings of cancer.
• Personalized Medicine and Targeted Therapy Research: Informs development of targeted therapies and personalized approaches by linking proteomic and phosphoproteomic data to clinical outcomes.

Methodology:

Analyzes published mass spectrometry-derived proteomic and phosphoproteomic datasets and performs differential expression profiling, statistical analysis of phosphorylation sites, correlation and similarity analyses, survival analysis, and pathological stage analysis.