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Quantitative Proteomics by Mass Spectrometry

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Cover of 'Quantitative Proteomics by Mass Spectrometry'

Table of Contents

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    Book Overview
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    Chapter 1 Increased Depth and Breadth of Plasma Protein Quantitation via Two-Dimensional Liquid Chromatography/Multiple Reaction Monitoring-Mass Spectrometry with Labeled Peptide Standards.
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    Chapter 2 Quantitative Analysis of the Sirt5-Regulated Lysine Succinylation Proteome in Mammalian Cells.
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    Chapter 3 Determining the Composition and Stability of Protein Complexes Using an Integrated Label-Free and Stable Isotope Labeling Strategy.
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    Chapter 4 Label-Free Quantitation for Clinical Proteomics.
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    Chapter 5 Proteogenomic Methods to Improve Genome Annotation
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    Chapter 6 Mass Spectrometry-Based Quantitative O-GlcNAcomic Analysis.
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    Chapter 7 Isolating and Quantifying Plasma HDL Proteins by Sequential Density Gradient Ultracentrifugation and Targeted Proteomics.
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    Chapter 8 A Method for Label-Free, Differential Top-Down Proteomics. - PubMed - NCBI
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    Chapter 9 Multiplexed Immunoaffinity Enrichment of Peptides with Anti-peptide Antibodies and Quantification by Stable Isotope Dilution Multiple Reaction Monitoring Mass Spectrometry.
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    Chapter 10 High-Throughput Quantitative Proteomics Enabled by Mass Defect-Based 12-Plex DiLeu Isobaric Tags
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    Chapter 11 Isotopic N,N-Dimethyl Leucine (iDiLeu) for Absolute Quantification of Peptides Using a Standard Curve Approach.
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    Chapter 12 Selecting Optimal Peptides for Targeted Proteomic Experiments in Human Plasma Using In Vitro Synthesized Proteins as Analytical Standards.
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    Chapter 13 Using the CPTAC Assay Portal to Identify and Implement Highly Characterized Targeted Proteomics Assays
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    Chapter 14 Large-Scale and Deep Quantitative Proteome Profiling Using Isobaric Labeling Coupled with Two-Dimensional LC-MS/MS
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    Chapter 15 Multiple and Selective Reaction Monitoring Using Triple Quadrupole Mass Spectrometer: Preclinical Large Cohort Analysis.
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    Chapter 16 Methods for SWATH™: Data Independent Acquisition on TripleTOF Mass Spectrometers. - PubMed - NCBI
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    Chapter 17 Measurement of Phosphorylated Peptides with Absolute Quantification.
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    Chapter 18 Proteomic Analysis of Protein Turnover by Metabolic Whole Rodent Pulse-Chase Isotopic Labeling and Shotgun Mass Spectrometry Analysis
Attention for Chapter 2: Quantitative Analysis of the Sirt5-Regulated Lysine Succinylation Proteome in Mammalian Cells.
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Chapter title
Quantitative Analysis of the Sirt5-Regulated Lysine Succinylation Proteome in Mammalian Cells.
Chapter number 2
Book title
Quantitative Proteomics by Mass Spectrometry
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3524-6_2
Pubmed ID
Book ISBNs
978-1-4939-3522-2, 978-1-4939-3524-6
Authors

Yue Chen

Editors

Salvatore Sechi

Abstract

Lysine (Lys) succinylation is a recently discovered protein posttranslational modification pathway that is evolutionarily conserved from bacteria to mammals. It is regulated by Sirt5, a member of the class III histone deacetylases (HDACs) or the Sirtuins. Recent studies demonstrated that Lys succinylation and Sirt5 are involved in diverse cellular metabolic processes including urea cycle, ammonia transfer, and glucose metabolism. In this chapter, we describe the general protocol to identify Sirt5-regulated Lys succinylation substrates and a computational method to calculate the absolute modification stoichiometries of Lys succinylation sites. The strategy employs Stable Isotope Labeling of Amino acid in Cell culture (SILAC) and the immunoaffinity enrichment of Lys succinylated peptides to identify the Lys succinylation sites that are significantly upregulated in Sirt5 knockout mouse embryonic fibroblast cells.

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 50%
Other 2 33%
Researcher 1 17%
Readers by discipline Count As %
Computer Science 2 33%
Agricultural and Biological Sciences 2 33%
Neuroscience 1 17%
Medicine and Dentistry 1 17%