Proteomics for Biomarker Discovery

Pre- and Post-Analytical Factors in Biomarker Discovery.- Pre-Fractionation of Non-Circulating Biological Fluids to Improve Discovery of Clinically Relevant Protein Biomarkers.- Serum Exosome Isolation by Size-Exclusion Chromatography for the Discovery and Validation of Preeclampsia-Associated Biomarkers.- Protein Biomarker Discovery Using Human Blood Plasma Microparticles.- A Standardized and Reproducible Proteomics Protocol for Bottom-Up Quantitative Analysis of Protein Samples Using SP3 and Mass Spectrometry.- Analyzing Cerebrospinal Fluid Proteomes to Characterize Central Nervous System Disorders: A Highly Automated Mass Spectrometry-Based Pipeline for Biomarker Discovery.- Lys-C/Trypsin Tandem-Digestion Protocol for Gel-Free Proteomic Analysis of Colon Biopsies.- Tube-Gel: A Fast and Effective Sample Preparation Method for High-Throughput Quantitative Proteomics.- Protein Biomarker Discovery in Non-Depleted Serum by Spectral Library-Based Data-Independent Acquisition Mass Spectrometry.- Discovering Protein Biomarkers from Clinical Peripheral Blood Mononuclear Cells Using Data-Independent Acquisition Mass Spectrometry.- Intact Protein Analysis by LC-MS for Characterizing Biomarkers in Cerebrospinal Fluid.- Detection of Proteoforms Using Top-Down Mass Spectrometry and Diagnostic Ions.- Development of a Highly Multiplexed SRM Assay for Biomarker Discovery in Formalin-Fixed Paraffin-Embedded Tissues.- Development and Validation of Multiple Reaction Monitoring (MRM) Assays for Clinical Applications.- Protein-Level Statistical Analysis of Quantitative Label-Free Proteomics Data with ProStaR.- Computation and Selection of Optimal Biomarker Combinations by Integrative ROC Analysis using CombiROC.- PanelomiX for the Combination of Biomarkers.- Designing an In Silico Strategy to Select Tissue-Leakage Biomarkers Using the Galaxy Framework.