Modern Proteomics – Sample Preparation, Analysis and Practical Applications

Author:   Hamid Mirzaei ,  Martin Carrasco
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2016
Volume:   919
ISBN:  

9783319414461


Pages:   533
Publication Date:   28 December 2016
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Modern Proteomics – Sample Preparation, Analysis and Practical Applications


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Overview

This volume serves as a proteomics reference manual, describing experimental design and execution. The book also shows a large number of examples as to what can be achieved using proteomics techniques. As a relatively young area of scientific research, the breadth and depth of the current state of the art in proteomics might not be obvious to all potential users. There are various books and review articles that cover certain aspects of proteomics but they often lack technical details. Subject specific literature also lacks the broad overviews that are needed to design an experiment in which all steps are compatible and coherent. The objective of this book was to create a proteomics manual to provide scientists who are not experts in the field with an overview of: 1. The types of samples can be analyzed by mass spectrometry for proteomics analysis. 2. Ways to convert biological or ecological samples to analytes ready for mass spectral analysis. 3. Ways toreduce the complexity of the proteome to achieve better coverage of the constituent proteins. 4. How various mass spectrometers work and different ways they can be used for proteomics analysis 5. The various platforms that are available for proteomics data analysis 6. The various applications of proteomics technologies in biological and medical sciences This book should appeal to anyone with an interest in proteomics technologies, proteomics related bioinformatics and proteomics data generation and interpretation. With the broad setup and chapters written by experts in the field, there is information that is valuable for students as well as for researchers who are looking for a hands on introduction into the strengths, weaknesses and opportunities of proteomics.

Full Product Details

Author:   Hamid Mirzaei ,  Martin Carrasco
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2016
Volume:   919
Dimensions:   Width: 17.80cm , Height: 3.30cm , Length: 25.40cm
Weight:   1.612kg
ISBN:  

9783319414461


ISBN 10:   3319414461
Pages:   533
Publication Date:   28 December 2016
Audience:   College/higher education ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Sample Origin.- Sample Preparation for Proteomic Analyses by Mass Spectrometry.- Plant structure and specificity - challenges and sample preparation considerations for proteomics.- Protein Fractionation and Enrichment for Proteomics.- High Performance Liquid Chromatography.- Mass Analyzers.- Top-Down Mass Spectrometry: Proteomics to Proteoforms.- Platforms and pipelines for Proteomics Data Management and Analysis.- Visualization, inspection and interpretation of shotgun proteomics identification results.- Tandem mass spectrum sequencing: an alternative to database search engines in shotgun proteomics.- Protein Inference.- Modification Site Localization in Peptides.- Quantification.- Bioinformatics Tools for the Analysis of Proteomics Data.- Useful Web Resources.- Top-Down Mass Spectrometry: Proteomics to Proteoforms.- Protocol for Standardizing High-to-Moderate Abundance Protein Biomarker Assessments through an MRM-with-Standard-Peptides Quantitative Approach.- Posttranslational Modifications (PTMs) analysis.- Protein-Protein Interaction.- Structural Analysis.- Introduction to Proteomic-Derived Biomarkers.- Discovery of Candidate Biomarkers.- Statistical Approaches to Candidate Biomarker Panel Selection.- Qualification and Verification of biomarker candidates.

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