ProTrack

ProTrack provides multi-omics exploration and visualization of proteogenomic datasets from the Clinical Proteomic Tumor Analysis Consortium (CPTAC), including clear cell renal cell carcinoma (ccRCC), to support analysis of proteome, phosphoproteome, whole-exome/genome, transcriptome, and DNA methylome alterations in cancer.

Key Features:

• Comprehensive data visualization: Visualization of high-throughput profiles from the proteome, phosphoproteome, whole exome, whole genome, transcriptome, and DNA methylome.
• Multi-omics integration: Alignment of multiple omics layers to enable comparison of molecular alterations across genes and samples.
• CPTAC dataset support: Direct support for Clinical Proteomic Tumor Analysis Consortium (CPTAC) datasets, including the ccRCC dataset.
• Cancer gene–centric analysis: Support for exploring alterations in key cancer genes to facilitate hypothesis generation from integrated proteogenomic data.

Scientific Applications:

• Proteogenomic profiling: Comparative analysis of proteomic and genomic alterations across samples to investigate molecular mechanisms in cancer.
• Biomarker and target discovery: Identification of candidate biomarkers and therapeutic targets by integrating proteome, phosphoproteome, and genomic signals.
• Translational research: Linking genomic and transcriptomic alterations to proteomic and phosphoproteomic outcomes to inform translational studies.

Methodology:

ProTrack employs a multilayered client-server architecture to ingest CPTAC multi-omics datasets and to align and visualize proteome, phosphoproteome, whole-exome/genome, transcriptome, and DNA methylome data.