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Mass Spectrometry of Proteins

Methods and Protocols

Specificaties
Paperback, blz. | Engels
Springer New York | e druk, 2020
ISBN13: 9781493992348
Rubricering
Springer New York e druk, 2020 9781493992348
Onderdeel van serie Methods in Molecular Biology
€ 144,99
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Samenvatting

New insights into modern medicine and systems biology are enabled by innovative protocols and advanced technologies in mass spectrometry-based proteomics. This volume details new pipelines, workflows, and ways to process data that allow for new frontiers in proteomics to be pushed forward. With applications to biomarker discovery, interactions between proteins, between biological systems, dynamics of post-translational modifications among others, new protocols have been developed and iteratively refined to probe the endless complexity of the proteome in ever greater details. This volume deals with methods for data dependent and data independent mass spectrometry analyses. Valuable, first-hand information is provided from designing experiments, sample preparation and analysis, exploitation of public datasets and carrying out reproducible data pipelines, using modern computational tools such as Galaxy or Jupyter. 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, Mass Spectrometry of Proteins: Methods and Protocols aims to ensure successful results in the further study of this vital field. 

Specificaties

ISBN13:9781493992348
Taal:Engels
Bindwijze:paperback
Uitgever:Springer New York

Inhoudsopgave

<p>Preface…<br>Table of Contents…<br>Contributing Authors…<br><br>Part I New Biological Insights from Technological Breakthroughs<br><br>1. Next Generation Proteomics for Clinical Biomarker Detection using SWATH-MS<br>Qifeng Lin, Hwee Tong Tan, and Maxey C. M. Chung<br><br>2. A Combined Chemical Derivatization/Mass Spectrometric Method for the Enhanced Detection and Relative Quantification of Protein Ubiquitination<br>Navin Chicooree and John R. Griffiths<br><br>3. Assessment of Ubiquitin Chain Topology by Targeted Mass Spectrometry<br>Joseph Longworth and Gunnar Dittmar<br><br>4. Quantitative Phosphoproteomic using Titanium Dioxide Micro-Columns and Label Free Quantitation<br>Martin E. Barrios-LLerena and Thierry Le Bihan<br><br>5. Isotopic Labeling and Quantitative Proteomics of Acetylation on Histones and Beyond<br>Peder J. Lund, Yekaterina Kori, Xiaolu Zhao, Simone Sidoli, Zuo-Fei Yuan,&nbsp;and Benjamin A. Garcia<br><br>6. Quantitative Analysis of Protein S-Acylation Site Dynamics Using Site-Specific Acyl-Biotin Exchange (ssABE)<br>Keith T. Woodley and Mark O. Collins<br><br>7. Reducing Complexity? Cysteine Reduction and S-alkylation in Proteomic Workflows: Practical Considerations<br>Caroline A. Evans<br><br>8. Detection of Unknown Chemical Adduct Modifications on Proteins: From Wet to Dry Laboratory<br>Paola Antinori, Théo Michelot, Pierre Lescuyer, Markus Müller, and Adelina E. Acosta-Martin<br><br>9. Considerations for Identifying Endogenous Protein Complexes from Tissue via Immunoaffinity Purification and Quantitative Mass Spectrometry&nbsp;<br>Joel D. Federspiel and Ileana M. Cristea<br><br>10. Metaproteomics of Freshwater Microbial Communities<br>David A. Russo, Narciso Couto, Andrew P. Beckerman, and Jagroop Pandhal<br><br>Part II Dealing with Proteomics Data in a Big Data Era<br><br>11. Peptide-to-Protein Summarization: An Important Step for Accurate Quantification In Label-Based Proteomics<br>Martina Fischer, Thilo Muth, and Bernhard Y. Renard<br><br>12. Experimental Design in Quantitative Proteomics<br>Tomasz Burzykowski, Jürgen Claesen, and Dirk Valkenborg<br><br>13. Practical Integration of Multi-Run iTRAQ Data<br>Dana Pascovici, Xiaomin Song, Jemma Wu, Thiri Zaw, and Mark Molloy<br><br>14. Quantitative Proteomics Data in the Public Domain: Challenges and Opportunities<br>Andrew F. Jarnuczak, Tobias Ternent, and Juan Antonio Vizcaíno<br><br>15. Computational Proteomics with Jupyter and Python<br>Lars Malmström<br><br>16. The Galaxy Platform for Reproducible Affinity Proteomic Mass Spectrometry Data Analysis<br>Paul A. Stewart, Brent M. Kuenzi, Subina Mehta, Praveen Kumar, James E. Johnson, Pratik Jagtap, Timothy J. Griffin, and Eric B. Haura</p>
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        Mass Spectrometry of Proteins