Quantitative Proteomics

Quantitative proteomics measures protein abundances and dynamics across different samples, driving critical applications inbiomedicine, systems biology, and clinical research.

Key Applications:

• Biomarker Discovery: Identifies specific protein expression changes in biofluids or tissues to detect diseases like cancer and neurodegenerative conditions early.

• Drug Discovery and Mechanisms: Maps how cells respond to therapeutic compounds, pinpoints drug targets, and monitors treatment efficacy.

• Systems Biology: Analyzes signaling networks, protein-protein interactions (interactomics), and macromolecular complex formations on a global scale.

• Post-Translational Modifications (PTMs): Quantifies dynamic changes in modifications like phosphorylation to understand cellular signaling cascades and disease progression.

• Clinical Tissue Profiling: Compares healthy and diseased tissue heterogeneity to classify cancer subtypes and predict clinical outcomes.