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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 10: High-Throughput Quantitative Proteomics Enabled by Mass Defect-Based 12-Plex DiLeu Isobaric Tags
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

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2 tweeters

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Chapter title
High-Throughput Quantitative Proteomics Enabled by Mass Defect-Based 12-Plex DiLeu Isobaric Tags
Chapter number 10
Book title
Quantitative Proteomics by Mass Spectrometry
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3524-6_10
Pubmed ID
Book ISBNs
978-1-4939-3522-2, 978-1-4939-3524-6
Authors

Frost, Dustin C, Li, Lingjun, Dustin C. Frost, Lingjun Li

Editors

Salvatore Sechi

Abstract

Isobaric labeling has become a popular technique for high-throughput, mass spectrometry (MS)-based relative quantification of peptides and proteins. However, widespread use of the approach for large-scale proteomics applications has been limited by the high cost of commercial isobaric tags. To address this, we have developed our own N,N-dimethyl leucine (DiLeu) multiplex isobaric tags as a cost-effective alternative that can be synthesized with ease using readily available isotopic reagents. When paired with high-resolution tandem mass (MS (n) ) acquisition, mass defect-based DiLeu isobaric tags allow relative quantification of up to twelve samples in a single liquid chromatography (LC)-MS(2) experiment. Herein, we present detailed methods for synthesis of 12-plex DiLeu isobaric tags, labeling of complex protein digest samples, analysis by high-resolution nanoLC-MS (n) , and processing of acquired data.

Twitter Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 27%
Researcher 2 18%
Other 1 9%
Professor 1 9%
Professor > Associate Professor 1 9%
Other 0 0%
Unknown 3 27%
Readers by discipline Count As %
Chemistry 3 27%
Agricultural and Biological Sciences 2 18%
Medicine and Dentistry 1 9%
Neuroscience 1 9%
Biochemistry, Genetics and Molecular Biology 1 9%
Other 0 0%
Unknown 3 27%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 21 March 2016.
All research outputs
#872,126
of 7,419,920 outputs
Outputs from Methods in molecular biology
#179
of 5,055 outputs
Outputs of similar age
#51,792
of 323,676 outputs
Outputs of similar age from Methods in molecular biology
#37
of 961 outputs
Altmetric has tracked 7,419,920 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,055 research outputs from this source. They receive a mean Attention Score of 1.7. This one has done particularly well, scoring higher than 96% 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 323,676 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 961 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.