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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.
  19. Altmetric Badge
    Chapter 18 From Phosphoproteome to Modeling of Plant Signaling Pathways.
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    Chapter 19 Interpretation of Quantitative Shotgun Proteomic Data.
  21. Altmetric Badge
    Chapter 20 A Simple Workflow for Large Scale Shotgun Glycoproteomics.
  22. Altmetric Badge
    Chapter 21 Systemic Analysis of Regulated Functional Networks.
Attention for Chapter 21: Systemic Analysis of Regulated Functional Networks.
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

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Chapter title
Systemic Analysis of Regulated Functional Networks.
Chapter number 21
Book title
Proteomics in Systems Biology
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3341-9_21
Pubmed ID
26700057
Book ISBNs
978-1-4939-3339-6, 978-1-4939-3341-9
Authors

Hernández Sánchez, Luis Francisco, Aasebø, Elise, Selheim, Frode, Berven, Frode S, Ræder, Helge, Barsnes, Harald, Vaudel, Marc, Luis Francisco Hernández Sánchez, Elise Aasebø, Frode Selheim, Frode S. Berven, Helge Ræder, Harald Barsnes, Marc Vaudel

Editors

Jörg Reinders

Abstract

In biological and medical sciences, high throughput analytical methods are now commonly used to investigate samples of different conditions, e.g., patients versus controls. Systemic functional analyses emerged as a reference method to go beyond a list of regulated compounds, and identify activated or inactivated biological functions. This approach holds the promise for a better understanding of biological systems, of the mechanisms involved in disease progression, and thus improved diagnosis, prognosis, and treatment. In this chapter, we present a simple workflow to conduct pathway analyses on biological data using the freely available Reactome platform ( http://www.reactome.org ).

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X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 2 25%
Professor > Associate Professor 2 25%
Student > Ph. D. Student 1 13%
Professor 1 13%
Researcher 1 13%
Other 1 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 25%
Medicine and Dentistry 2 25%
Nursing and Health Professions 1 13%
Computer Science 1 13%
Neuroscience 1 13%
Other 0 0%
Unknown 1 13%
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 19 February 2016.
All research outputs
#12,879,799
of 22,836,570 outputs
Outputs from Methods in molecular biology
#3,273
of 13,126 outputs
Outputs of similar age
#178,139
of 393,568 outputs
Outputs of similar age from Methods in molecular biology
#307
of 1,470 outputs
Altmetric has tracked 22,836,570 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,126 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 74% 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 393,568 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 54% 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 done well, scoring higher than 78% of its contemporaries.

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