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Proteomic Profile of EPS-Urine through FASP Digestion and Data-Independent Analysis
Published on: May 8, 2021
Different sample preparation and detection methods for normal and lung cancer urinary proteome analysis
Supachok Sinchaikul1, Payungsak Tantipaiboonwong, Supawadee Sriyam
1Institute of Biological Chemistry, Department of Chemistry, Faculty of Scienc, Chiang Mai University, Chiang Mai, Thailand.
Methods in Molecular Biology (Clifton, N.J.)
|April 22, 2010
Summary
Analyzing urine proteins offers a non-invasive method for disease biomarker discovery. This study details sample preparation and detection techniques for urinary proteome analysis, crucial for diagnosing lung cancer and other diseases.
Area of Science:
- Proteomics
- Biochemistry
- Clinical Diagnostics
Background:
- The urinary proteome is a valuable resource for identifying disease biomarkers.
- Urine analysis offers a non-invasive alternative to blood plasma for diagnostics.
- Urine's complexity necessitates robust sample preparation for accurate proteomic analysis.
Purpose of the Study:
- To review essential sample preparation and protein detection methods for urinary proteome analysis.
- To highlight techniques applicable to lung cancer urine samples.
- To provide options for identifying urinary protein markers for various diseases.
Main Methods:
- Discussion of various urine sample preparation techniques.
- Overview of protein detection and visualization methods.
- Focus on methods suitable for complex biological samples like urine.
Main Results:
- Effective sample preparation is critical for reducing variability and isolating target proteins.
- Protein detection methods are vital for profiling and quantifying urinary proteins.
- Specific methods are discussed for analyzing lung cancer patient urine.
Conclusions:
- Optimized sample preparation and detection are key to successful urinary proteome analysis.
- This approach aids in discovering novel biomarkers for lung cancer and other diseases.
- The study provides a guide to selecting appropriate methods for urinary biomarker discovery.
