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Modern Proteomics – Sample Preparation, Analysis and Practical Applications

Overview of attention for book
Cover of 'Modern Proteomics – Sample Preparation, Analysis and Practical Applications'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Proteomes, Their Compositions and Their Sources
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    Chapter 2 Protein Fractionation and Enrichment Prior to Proteomics Sample Preparation
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    Chapter 3 Sample Preparation for Mass Spectrometry-Based Proteomics; from Proteomes to Peptides
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    Chapter 4 Plant Structure and Specificity – Challenges and Sample Preparation Considerations for Proteomics
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    Chapter 5 Improving Proteome Coverage by Reducing Sample Complexity via Chromatography
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    Chapter 6 Database Search Engines: Paradigms, Challenges and Solutions
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    Chapter 7 Mass Analyzers and Mass Spectrometers
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    Chapter 8 Top-Down Mass Spectrometry: Proteomics to Proteoforms
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    Chapter 9 Platforms and Pipelines for Proteomics Data Analysis and Management
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    Chapter 10 Tandem Mass Spectrum Sequencing: An Alternative to Database Search Engines in Shotgun Proteomics
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    Chapter 11 Visualization, Inspection and Interpretation of Shotgun Proteomics Identification Results
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    Chapter 12 Protein Inference
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    Chapter 13 Modification Site Localization in Peptides
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    Chapter 14 Useful Web Resources
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    Chapter 15 Mass Spectrometry-Based Protein Quantification
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    Chapter 16 Bioinformatics Tools for Proteomics Data Interpretation
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    Chapter 17 Identification, Quantification, and Site Localization of Protein Posttranslational Modifications via Mass Spectrometry-Based Proteomics
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    Chapter 18 Protein-Protein Interaction Detection Via Mass Spectrometry-Based Proteomics
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    Chapter 19 Protein Structural Analysis via Mass Spectrometry-Based Proteomics
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    Chapter 20 Introduction to Clinical Proteomics
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    Chapter 21 Discovery of Candidate Biomarkers
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    Chapter 22 Statistical Approaches to Candidate Biomarker Panel Selection
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    Chapter 23 Qualification and Verification of Protein Biomarker Candidates
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    Chapter 24 Protocol for Standardizing High-to-Moderate Abundance Protein Biomarker Assessments Through an MRM-with-Standard-Peptides Quantitative Approach
Attention for Chapter 18: Protein-Protein Interaction Detection Via Mass Spectrometry-Based Proteomics
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

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1 blog

Citations

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44 Mendeley
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Chapter title
Protein-Protein Interaction Detection Via Mass Spectrometry-Based Proteomics
Chapter number 18
Book title
Modern Proteomics – Sample Preparation, Analysis and Practical Applications
Published in
Advances in experimental medicine and biology, December 2016
DOI 10.1007/978-3-319-41448-5_18
Pubmed ID
Book ISBNs
978-3-31-941446-1, 978-3-31-941448-5
Authors

Benedetta Turriziani, Alexander von Kriegsheim, Stephen R. Pennington, Turriziani, Benedetta, von Kriegsheim, Alexander, Pennington, Stephen R.

Editors

Hamid Mirzaei, Martin Carrasco

Abstract

Analysis of protein-protein interactions is one of the mainstays of mass spectrometry-based proteomics and recent developments, which have simplified the methodology, have permitted non-specialised laboratories to adopt the approach. We introduce and review three complimentary methods which allow for the targeted, global and site-specific analysis of protein complexes. Co-precipitation of endogenous or ectopically expressed proteins and their complexes followed by proteomic analysis allows for the discovery and accurate quantification of specific protein interactions. Whereas complimentary methods, such as co-purification of entire complexes based on physico-chemical attributes, can give a snap-shot of the composition and dynamics of protein complexes on a global scale. Cross-linking on the other hand can pinpoint the amino acids involved in protein-protein interactions to such a resolution that the likely complex can be reconstructed computationally.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 9 20%
Researcher 9 20%
Student > Ph. D. Student 6 14%
Student > Master 4 9%
Student > Doctoral Student 2 5%
Other 5 11%
Unknown 9 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 19 43%
Agricultural and Biological Sciences 7 16%
Immunology and Microbiology 2 5%
Chemistry 2 5%
Computer Science 1 2%
Other 2 5%
Unknown 11 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 March 2018.
All research outputs
#5,771,171
of 22,914,829 outputs
Outputs from Advances in experimental medicine and biology
#890
of 4,953 outputs
Outputs of similar age
#105,411
of 420,880 outputs
Outputs of similar age from Advances in experimental medicine and biology
#87
of 500 outputs
Altmetric has tracked 22,914,829 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 4,953 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has done well, scoring higher than 81% 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 420,880 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 74% of its contemporaries.
We're also able to compare this research output to 500 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.