Peptimetric

Peptimetric analyzes peptidomic data to quantify, compare, and visualize endogenous peptides for biomarker discovery and study of peptide roles in physiology and therapeutics.

Key Features:

• Quantification and Visualization: Performs quantification of peptide abundances across datasets and generates visualizations of proteins and peptides.
• Comparative Analysis: Compares peptidomic profiles across multiple samples to identify differential peptide abundance between conditions.
• Peptide- and Protein-level Investigation: Enables examination of general peptidomic characteristics and specific peptides and proteins within datasets.
• High-throughput Data Handling: Processes large-scale peptidomic datasets comprising thousands of peptide sequences derived from high-resolution mass spectrometry and nano high-performance liquid chromatography.

Scientific Applications:

• Biomarker Discovery: Identification of endogenous peptide biomarkers distinguishing disease states such as diabetes.
• Urinary Peptidome Analysis: Analysis of urine samples, exemplified by application to 15 urine samples from diabetic patients and corresponding healthy controls.
• Physiological and Therapeutic Research: Investigation of physiological roles of endogenous peptides and assessment of their potential in therapeutic applications.

Methodology:

Processes data acquired by high-resolution mass spectrometry (MS) coupled with nano-high-performance liquid chromatography (nano HP-LC), sequencing thousands of peptides and producing visualizations to support comparative peptidomic analysis.