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Quantitative Proteomics by Mass Spectrometry

Overview of attention for book
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 5: Proteogenomic Methods to Improve Genome Annotation
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Chapter title
Proteogenomic Methods to Improve Genome Annotation
Chapter number 5
Book title
Quantitative Proteomics by Mass Spectrometry
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3524-6_5
Pubmed ID
26867739
Book ISBNs
978-1-4939-3522-2, 978-1-4939-3524-6
Authors

Datta, Keshava K, Madugundu, Anil K, Gowda, Harsha, Keshava K. Datta, Anil K. Madugundu, Harsha Gowda, Datta, Keshava K., Madugundu, Anil K.

Editors

Salvatore Sechi

Abstract

Annotation of protein coding genes in sequenced genomes has been routinely carried out using gene prediction programs guided by available transcript data. The advent of mass spectrometry has enabled the identification of proteins in a high-throughput manner. In addition to searching proteins annotated in public databases, mass spectrometry data can also be searched against conceptually translated genome as well as transcriptome to identify novel protein coding regions. This proteogenomics approach has resulted in the identification of novel protein coding regions in both prokaryotic and eukaryotic genomes. These studies have also revealed that some of the annotated noncoding RNAs and pseudogenes code for proteins. This approach is likely to become a part of most genome annotation workflows in the future. Here we describe a general methodology and approach that can be used for proteogenomics.

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X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Other 3 38%
Student > Ph. D. Student 1 13%
Student > Postgraduate 1 13%
Student > Master 1 13%
Unknown 2 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 50%
Agricultural and Biological Sciences 1 13%
Neuroscience 1 13%
Unknown 2 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 05 April 2019.
All research outputs
#13,457,134
of 22,846,662 outputs
Outputs from Methods in molecular biology
#3,622
of 13,127 outputs
Outputs of similar age
#189,596
of 393,581 outputs
Outputs of similar age from Methods in molecular biology
#349
of 1,470 outputs
Altmetric has tracked 22,846,662 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,127 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 70% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 393,581 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 1,470 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 74% of its contemporaries.

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