Proteomics for biomarker discovery: methods and protocols
This volume presents modern and enhanced methods that detail techniques to perform proteomics analyses dedicated to biomarker discovery for human health. Chapters guide readers through pre/post analytical factors, protocols for the preparation of extracellular vesicles and exosomes, and various anal...
Gespeichert in:
| Weitere Verfasser: | , |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Springer New York
2019
|
| Ausgabe: | 1st ed. 2019 |
| Schriftenreihe: | Methods in Molecular Biology
1959 |
| Schlagworte: | |
| Online-Zugang: | UBR01 TUM01 URL des Erstveröffentlichers |
| Zusammenfassung: | This volume presents modern and enhanced methods that detail techniques to perform proteomics analyses dedicated to biomarker discovery for human health. Chapters guide readers through pre/post analytical factors, protocols for the preparation of extracellular vesicles and exosomes, and various analytical pipelines including Data Independent Acquisition (DIA), discovery, as well as targeted and top-down proteomics analysis workflows. Bioinformatics tools and workflows to select and evaluate candidate biomarkers or combinations of biomarkers are also presented. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Proteomics for Biomarker Discovery: Methods and Protocols aims to ensure successful results in the further study of this vital field |
| Beschreibung: | 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 |
| Beschreibung: | 1 Online-Ressource (XII, 292 Seiten) Illustrationen |
| ISBN: | 9781493991648 |
| DOI: | 10.1007/978-1-4939-9164-8 |
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| spelling | Proteomics for biomarker discovery methods and protocols edited by Virginie Brun, Yohann Couté 1st ed. 2019 New York, NY Springer New York 2019 1 Online-Ressource (XII, 292 Seiten) Illustrationen txt rdacontent c rdamedia cr rdacarrier Methods in Molecular Biology 1959 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 This volume presents modern and enhanced methods that detail techniques to perform proteomics analyses dedicated to biomarker discovery for human health. Chapters guide readers through pre/post analytical factors, protocols for the preparation of extracellular vesicles and exosomes, and various analytical pipelines including Data Independent Acquisition (DIA), discovery, as well as targeted and top-down proteomics analysis workflows. Bioinformatics tools and workflows to select and evaluate candidate biomarkers or combinations of biomarkers are also presented. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Proteomics for Biomarker Discovery: Methods and Protocols aims to ensure successful results in the further study of this vital field Proteomics Proteins Brun, Virginie (DE-588)1183031092 edt Couté, Yohann (DE-588)1183031327 edt Erscheint auch als Druck-Ausgabe 978-1-4939-9165-5 https://doi.org/10.1007/978-1-4939-9164-8 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Proteomics for biomarker discovery methods and protocols Proteomics Proteins |
| title | Proteomics for biomarker discovery methods and protocols |
| title_auth | Proteomics for biomarker discovery methods and protocols |
| title_exact_search | Proteomics for biomarker discovery methods and protocols |
| title_exact_search_txtP | Proteomics for biomarker discovery methods and protocols |
| title_full | Proteomics for biomarker discovery methods and protocols edited by Virginie Brun, Yohann Couté |
| title_fullStr | Proteomics for biomarker discovery methods and protocols edited by Virginie Brun, Yohann Couté |
| title_full_unstemmed | Proteomics for biomarker discovery methods and protocols edited by Virginie Brun, Yohann Couté |
| title_short | Proteomics for biomarker discovery |
| title_sort | proteomics for biomarker discovery methods and protocols |
| title_sub | methods and protocols |
| topic | Proteomics Proteins |
| topic_facet | Proteomics Proteins |
| url | https://doi.org/10.1007/978-1-4939-9164-8 |
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