iProPhos: A Web-Based Interactive Platform for Integrated Proteome and Phosphoproteome Analysis.

Area of Science:

• Proteomics
• Bioinformatics
• Cancer Research

Background:

• Large-scale omics studies generate vast proteomics data.
• Limited web-based tools hinder proteomics data reuse.
• Cancer proteomics offers insights beyond genomic data.

Purpose of the Study:

• Introduce iProPhos, a user-friendly web server for proteomics data analysis.
• Enable interactive and customizable analysis and visualization of proteomics and phosphoproteomics data.
• Facilitate the discovery of novel therapeutic targets and understanding of cancer biology.

Main Methods:

• Integrated 1444 tumor and 746 normal samples from CPTEC across 12 cancer types.
• Developed functionalities for profiling, differential expression, survival, and correlation analyses.
• Included protein-protein interaction, kinase-substrate, and functional enrichment analyses.
• Enabled user data upload for personalized analysis.

Main Results:

• Demonstrated iProPhos's capability to identify potential drug targets and upstream kinases.
• Showcased interactive visualization of analytical results.
• Facilitated protein-protein, mRNA-protein, and kinase-substrate correlation analyses.
• Provided functional and kinase-substrate enrichment analyses.

Conclusions:

• iProPhos effectively leverages big data in cancer proteomics.
• Accelerates the discovery of novel therapeutic targets.
• Empowers researchers with accessible analysis and visualization tools for proteomics data.