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Proteomis in Systems Biology

Overview of attention for book
Cover of 'Proteomis in Systems Biology'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Multiplexed Quantitative Proteomics for High-Throughput Comprehensive Proteome Comparisons of Human Cell Lines.
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    Chapter 2 Sample Preparation Approaches for iTRAQ Labeling and Quantitative Proteomic Analyses in Systems Biology.
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    Chapter 3 Two Birds with One Stone: Parallel Quantification of Proteome and Phosphoproteome Using iTRAQ.
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    Chapter 4 Selected Reaction Monitoring to Measure Proteins of Interest in Complex Samples: A Practical Guide.
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    Chapter 5 Monitoring PPARG-Induced Changes in Glycolysis by Selected Reaction Monitoring Mass Spectrometry.
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    Chapter 6 A Targeted MRM Approach for Tempo-Spatial Proteomics Analyses.
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    Chapter 7 Targeted Phosphoproteome Analysis Using Selected/Multiple Reaction Monitoring (SRM/MRM).
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    Chapter 8 Testing Suitability of Cell Cultures for SILAC-Experiments Using SWATH-Mass Spectrometry.
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    Chapter 9 Combining Amine-Reactive Cross-Linkers and Photo-Reactive Amino Acids for 3D-Structure Analysis of Proteins and Protein Complexes.
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    Chapter 10 Tissue MALDI Mass Spectrometry Imaging (MALDI MSI) of Peptides.
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    Chapter 11 Ethyl Esterification for MALDI-MS Analysis of Protein Glycosylation.
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    Chapter 12 Characterization of Protein N-Glycosylation by Analysis of ZIC-HILIC-Enriched Intact Proteolytic Glycopeptides.
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    Chapter 13 Simple and Effective Affinity Purification Procedures for Mass Spectrometry-Based Identification of Protein-Protein Interactions in Cell Signaling Pathways.
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    Chapter 14 A Systems Approach to Understand Antigen Presentation and the Immune Response.
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    Chapter 15 Profiling of Small Molecules by Chemical Proteomics.
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    Chapter 16 Generating Sample-Specific Databases for Mass Spectrometry-Based Proteomic Analysis by Using RNA Sequencing.
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    Chapter 17 A Proteomic Workflow Using High-Throughput De Novo Sequencing Towards Complementation of Genome Information for Improved Comparative Crop Science.
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    Chapter 18 From Phosphoproteome to Modeling of Plant Signaling Pathways.
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    Chapter 19 Interpretation of Quantitative Shotgun Proteomic Data.
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    Chapter 20 A Simple Workflow for Large Scale Shotgun Glycoproteomics.
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    Chapter 21 Systemic Analysis of Regulated Functional Networks.
Attention for Chapter 1: Multiplexed Quantitative Proteomics for High-Throughput Comprehensive Proteome Comparisons of Human Cell Lines.
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Chapter title
Multiplexed Quantitative Proteomics for High-Throughput Comprehensive Proteome Comparisons of Human Cell Lines.
Chapter number 1
Book title
Proteomics in Systems Biology
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3341-9_1
Pubmed ID
26700037
Book ISBNs
978-1-4939-3339-6, 978-1-4939-3341-9
Authors

Amanda Edwards, Wilhelm Haas

Editors

Jörg Reinders

Abstract

The proteome is the functional entity of the cell, and perturbations of a cellular system almost always cause changes in the proteome. These changes are a molecular fingerprint, allowing characterization and a greater understanding of the effect of the perturbation on the cell as a whole. Monitoring these changes has therefore given great insight into cellular responses to stress and disease states, and analytical platforms to comprehensively analyze the proteome are thus extremely important tools in biological research. Mass spectrometry has evolved as the most relevant technology to characterize proteomes in a comprehensive way. However, due to a lack of throughput capacity of mass spectrometry-based proteomics, researchers frequently use measurement of mRNA levels to approximate proteome changes. Growing evidence of substantial differences between mRNA and protein levels as well as recent improvements in mass spectrometry-based proteomics are heralding an increased use of mass spectrometry for comprehensive proteome mapping. Here we describe the use of multiplexed quantitative proteomics using isobaric labeling with tandem mass tags (TMT) for the simultaneous quantitative analysis of five cancer cell proteomes in biological duplicates in one mass spectrometry experiment.

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 35%
Researcher 6 18%
Student > Bachelor 2 6%
Student > Doctoral Student 2 6%
Professor > Associate Professor 2 6%
Other 5 15%
Unknown 5 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 41%
Agricultural and Biological Sciences 5 15%
Chemistry 4 12%
Unspecified 1 3%
Arts and Humanities 1 3%
Other 2 6%
Unknown 7 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 17 October 2016.
All research outputs
#20,346,264
of 22,893,031 outputs
Outputs from Methods in molecular biology
#9,921
of 13,134 outputs
Outputs of similar age
#330,792
of 393,734 outputs
Outputs of similar age from Methods in molecular biology
#1,054
of 1,471 outputs
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So far Altmetric has tracked 13,134 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 1,471 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.

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