MI-PVT: A Tool for Visualizing the Chromosome-Centric Human Proteome.

Area of Science:

• Proteomics
• Genomics
• Bioinformatics

Background:

• Understanding protein expression and function across human tissues and chromosomes is crucial for biological research.
• Existing tools may lack comprehensive visualization capabilities for large-scale proteomic datasets.

Purpose of the Study:

• To develop and present the Michigan Proteome Visualization Tool (MI-PVT), a web-based platform for visualizing and comparing protein expression and isoform-level function.
• To demonstrate the tool's utility by populating it with Human Proteome Map (HPM) data.

Main Methods:

• Development of a web-based visualization tool (MI-PVT).
• Population of MI-PVT with Human Proteome Map (HPM) data.
• Analysis of protein expression patterns across human chromosomes and tissues.

Main Results:

• MI-PVT successfully visualizes protein expression and isoform function across human chromosomes and tissues.
• Analysis of chromosome 17 proteins revealed over 300 expressed in all 30 tissues, with testis showing the highest number (685).
• Esophagus exhibited low overall protein expression but high expression of specific cytoskeletal proteins coded on chromosome 17.

Conclusions:

• The MI-PVT is a valuable resource for biologists to study specific proteins and datasets across tissues and chromosomes.
• The tool facilitates the discovery of chromosome-centric protein expression and correlations.
• Future integration of extensive mass-spectrometric proteomic data will enhance MI-PVT's capabilities.