Proteomics for Biomarker Discovery : Methods and Protocols /
| Autor Corporativo: | |
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| Otros Autores: | , |
| Formato: | eBook |
| Lenguaje: | English |
| Publicado: |
New York, NY :
Springer New York : Imprint: Humana,
2019.
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| Edición: | 1st ed. 2019. |
| Colección: | Methods in Molecular Biology,
1959 |
| Materias: |
Tabla de Contenidos:
- 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.