Related Experiment Video
Updated: May 16, 2026

12:23
Phosphopeptide Enrichment Coupled with Label-free Quantitative Mass Spectrometry to Investigate the Phosphoproteome in Prostate Cancer
Published on: August 2, 2018
Is phosphoproteomics ready for clinical research?
1Department of Biochemistry, Purdue University, West Lafayette, IN 47907, United States.
Clinica Chimica Acta; International Journal of Clinical Chemistry
|November 20, 2012
Summary
Phosphorylation analysis, not just gene testing, is crucial for understanding complex diseases like cancer. This approach reveals molecular pathway changes and aids in selecting effective therapies.
Area of Science:
- Biochemistry
- Molecular Biology
- Systems Biology
Background:
- Phosphorylation-dependent signaling pathways are fundamental to diseases like cancer.
- Single-gene testing and genomic profiling are insufficient for understanding pathway activation and drug resistance.
- Protein phosphorylation analysis is critical for evaluating molecular-level pathway changes and therapeutic effects.
Purpose of the Study:
- To highlight the limitations of current diagnostic approaches in differentiating disease subtypes at the molecular level.
- To explore the potential of systems biology tools in clinical research.
- To examine the application of phosphoproteomics for improved disease management.
Main Methods:
- Review of emerging systems biology tools.
- Exploration of phosphoproteomics techniques.
- Analysis of their application in clinical research.
Main Results:
- Current methods fail to differentiate disease subtypes based on protein and signaling pathway alterations.
- This lack of molecular-level insight hinders predictive disease management and targeted therapy selection.
- Emerging systems biology tools, particularly phosphoproteomics, offer a more comprehensive approach.
Conclusions:
- Phosphoproteomics holds significant promise for advancing clinical research.
- Systems biology tools can provide critical molecular insights for personalized medicine.
- Applying phosphoproteomics can lead to better disease subtyping and more effective therapeutic strategies.

