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Quantitative Methods in Proteomics

Overview of attention for book
Cover of 'Quantitative Methods in Proteomics'

Table of Contents

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    Book Overview
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    Chapter 1 Important Issues in Planning a Proteomics Experiment: Statistical Considerations of Quantitative Proteomic Data
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    Chapter 2 The Whereabouts of 2D Gels in Quantitative Proteomics
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    Chapter 3 Proteome Analysis with Classical 2D-PAGE
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    Chapter 4 Fast and Sensitive Coomassie Staining in Quantitative Proteomics
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    Chapter 5 Silver Staining of 2D Electrophoresis Gels
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    Chapter 6 Differential Proteome Analysis Using 2D-DIGE
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    Chapter 7 Quantitative mass spectrometry-based proteomics: an overview.
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    Chapter 8 Robust Workflow for iTRAQ-Based Peptide and Protein Quantification
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    Chapter 9 Relative Protein Quantification by MS/MS Using the Tandem Mass Tag Technology.
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    Chapter 10 A Rapid Approach for Isobaric Peptide Termini Labeling
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    Chapter 11 Isotope-Coded Protein Label
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    Chapter 12 Hydroponic Isotope Labeling of Entire Plants and High-Performance Mass Spectrometry for Quantitative Plant Proteomics
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    Chapter 13 In Vivo Quantitative Proteome Profiling: Planning and Evaluation of SILAC Experiments
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    Chapter 14 SILAC for the Study of Mammalian Cell Lines and Yeast Protein Complexes
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    Chapter 15 Post-digestion 18O Exchange/Labeling for Quantitative Shotgun Proteomics of Membrane Proteins
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    Chapter 16 Application of Label-Free Proteomics for Differential Analysis of Lung Carcinoma Cell Line A549
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    Chapter 17 Absolute Quantification of Proteins Using Standard Peptides and Multiple Reaction Monitoring
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    Chapter 18 Quantitative Methods in Proteomics
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    Chapter 19 A Practical Guide to the FLEXIQuant Method
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    Chapter 20 Label-Free Protein Quantitation Using Weighted Spectral Counting
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    Chapter 21 Discovering the Phosphoproteome of the Hydrophobic Cytochrome c Oxidase Membrane Protein Complex
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    Chapter 22 KiC Assay: A Quantitative Mass Spectrometry-Based Approach.
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    Chapter 23 Robust and High-Throughput Sample Preparation for (Semi-)Quantitative Analysis of N-Glycosylation Profiles from Plasma Samples
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    Chapter 24 Quantitative Redox Proteomics: The NOxICAT Method
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    Chapter 25 Quantitative Analysis of S-Nitrosylated Proteins
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    Chapter 26 Analysis of Ubiquitinated Proteome by Quantitative Mass Spectrometry
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    Chapter 27 Identification of Endogenous SUMO1 Accepter Sites by Mass Spectrometry
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    Chapter 28 Search and Decoy: The Automatic Identification of Mass Spectra
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    Chapter 29 Software Tools for MS-Based Quantitative Proteomics: A Brief Overview
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    Chapter 30 iTRAQ Data Interpretation
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    Chapter 31 MSQuant: A Platform for Stable Isotope-Based Quantitative Proteomics
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    Chapter 32 Erratum To: KiC Assay: A Quantitative Mass Spectrometry-Based Approach for Kinase Client Screening and Activity Analysis
Attention for Chapter 7: Quantitative mass spectrometry-based proteomics: an overview.
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4 Wikipedia pages

Citations

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Chapter title
Quantitative mass spectrometry-based proteomics: an overview.
Chapter number 7
Book title
Quantitative Methods in Proteomics
Published in
Methods in molecular biology, June 2012
DOI 10.1007/978-1-61779-885-6_7
Pubmed ID
Book ISBNs
978-1-61779-884-9, 978-1-61779-885-6
Authors

Nikolov M, Schmidt C, Urlaub H, Miroslav Nikolov, Carla Schmidt, Henning Urlaub, Nikolov, Miroslav, Schmidt, Carla, Urlaub, Henning

Abstract

In recent years, mass spectrometry has moved more than ever before into the front line of protein-centered research. After being established at the qualitative level, the more challenging question of quantification of proteins and peptides using mass spectrometry has become a focus for further development. In this chapter, we discuss and review the strategies and problems of the methods currently in use for the quantitative analysis of peptides, proteins, and finally proteomes by mass spectrometry. The common themes, the differences, and the potential pitfalls of the main approaches are presented in order to provide a survey of the emerging field of quantitative, mass spectrometry-based proteomics.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Germany 1 <1%
Unknown 99 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 25%
Researcher 12 12%
Student > Bachelor 10 10%
Student > Master 10 10%
Student > Doctoral Student 8 8%
Other 17 17%
Unknown 19 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 29 29%
Agricultural and Biological Sciences 21 21%
Chemistry 15 15%
Medicine and Dentistry 6 6%
Pharmacology, Toxicology and Pharmaceutical Science 2 2%
Other 6 6%
Unknown 22 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 April 2023.
All research outputs
#7,754,533
of 23,572,509 outputs
Outputs from Methods in molecular biology
#2,429
of 13,340 outputs
Outputs of similar age
#56,076
of 168,266 outputs
Outputs of similar age from Methods in molecular biology
#11
of 46 outputs
Altmetric has tracked 23,572,509 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,340 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 75% of its peers.
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We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.