Proteomics for Biomarker Discovery Methods and Protocols /
| Автор-организация: | |
|---|---|
| Другие авторы: | , |
| Примечания: | XII, 292 p. 52 illus., 47 illus. in color. text |
| Язык: | английский |
| Опубликовано: |
New York, NY :
Springer New York : Imprint: Humana,
2019.
|
| Издание: | 1st ed. 2019. |
| Серии: | Methods in Molecular Biology,
1959 |
| Предметы: | |
| Online-ссылка: | https://doi.org/10.1007/978-1-4939-9164-8 |
| Формат: | Электронный ресурс Книга |
Оглавление:
- 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.