Mass Spectrometry of Proteins

Methods and Protocols

AvCaroline A. Evans,Phillip C. Wright

Häftad, Engelska, 2020

Del i serien Methods in Molecular Biology

1 283 kr

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2020-08-14
Mått:178 x 254 x 16 mm
Vikt:532 g
Format:Häftad
Språk:Engelska
Serie:Methods in Molecular Biology
Antal sidor:264
Förlag:Humana Press Inc.
ISBN:9781493992348

Utforska kategorier

Biokemi inom Naturvetenskap och teknik
Analytisk kemi inom Naturvetenskap och teknik

Innehållsförteckning

Next Generation Proteomics for Clinical Biomarker Detection using SWATH-MS.- A Combined Chemical Derivatization/Mass Spectrometric Method for the Enhanced Detection and Relative Quantification of Protein Ubiquitination.- Assessment of Ubiquitin Chain Topology by Targeted Mass Spectrometry.- Quantitative Phosphoproteomic using Titanium Dioxide Micro-Columns and Label Free Quantitation.- Isotopic Labeling and Quantitative Proteomics of Acetylation on Histones and Beyond.- Quantitative Analysis of Protein S-Acylation Site Dynamics Using Site-Specific Acyl-Biotin Exchange (ssABE).- Reducing Complexity? Cysteine Reduction and S-alkylation in Proteomic Workflows: Practical Considerations.- Detection of Unknown Chemical Adduct Modifications on Proteins: From Wet to Dry Laboratory.- Considerations for Identifying Endogenous Protein Complexes from Tissue via Immunoaffinity Purification and Quantitative Mass Spectrometry.- Metaproteomics of Freshwater Microbial Communities.- Peptide-to-Protein Summarization: An Important Step for Accurate Quantification In Label-Based Proteomics.- Experimental Design in Quantitative Proteomics.- Practical Integration of Multi-Run iTRAQ Data.- Quantitative Proteomics Data in the Public Domain: Challenges and Opportunities.- Computational Proteomics with Jupyter and Python.- The Galaxy Platform for Reproducible Affinity Proteomic Mass Spectrometry Data Analysis.