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Kinase Signaling Networks

Overview of attention for book
Cover of 'Kinase Signaling Networks'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Optogenetic Control of Ras/Erk Signaling Using the Phy–PIF System
  3. Altmetric Badge
    Chapter 2 Dissecting Kinase Effector Signaling Using the RapRTAP Methodology
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    Chapter 3 Single-Cell Imaging of ERK Signaling Using Fluorescent Biosensors
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    Chapter 4 Quantification of Cell Signaling Networks Using Kinase Activity Chemosensors
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    Chapter 5 Expression of Recombinant Phosphoproteins for Signal Transduction Studies
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    Chapter 6 Allosteric Modulation of Src Family Kinases with ATP-Competitive Inhibitors
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    Chapter 7 Characterization of Ligand Binding to Pseudokinases Using a Thermal Shift Assay
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    Chapter 8 Proteomic Profiling of Protein Kinase Inhibitor Targets by Mass Spectrometry
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    Chapter 9 Utilizing the Luminex Magnetic Bead-Based Suspension Array for Rapid Multiplexed Phosphoprotein Quantification
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    Chapter 10 High-Content Imaging and RNAi Screens for Investigating Kinase Network Plasticity
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    Chapter 11 Analysis of Drug Resistance Using Kinome-Wide Functional Screens
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    Chapter 12 Identification and Validation of Driver Kinases from Next-Generation Sequencing Data
  14. Altmetric Badge
    Chapter 13 Label-Free Phosphoproteomic Approach for Kinase Signaling Analysis
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    Chapter 14 Cell-Specific Labeling for Analyzing Bidirectional Signaling by Mass Spectrometry
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    Chapter 15 Characterization of the Phospho-Adhesome by Mass Spectrometry-Based Proteomics
  17. Altmetric Badge
    Chapter 16 Analysis of Phosphotyrosine Signaling Networks in Lung Cancer Cell Lines
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    Chapter 17 Targeted Analysis of Phosphotyrosine Signaling by Multiple Reaction Monitoring Mass Spectrometry
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    Chapter 18 Phosphoproteomic Analysis of Isolated Mitochondria in Yeast
  20. Altmetric Badge
    Chapter 19 A Methodology for Comprehensive Analysis of Toll-Like Receptor Signaling in Macrophages
  21. Altmetric Badge
    Chapter 20 Absolute Phosphorylation Stoichiometry Analysis by Motif-Targeting Quantitative Mass Spectrometry
  22. Altmetric Badge
    Chapter 21 Identification of Plant Kinase Substrates Based on Kinase Assay-Linked Phosphoproteomics
  23. Altmetric Badge
    Chapter 22 Mass Spectrometry Analysis of Spatial Protein Networks by Colocalization Analysis (COLA)
  24. Altmetric Badge
    Chapter 23 Development of Selected Reaction Monitoring Methods to Systematically Quantify Kinase Abundance and Phosphorylation Stoichiometry in Human Samples
  25. Altmetric Badge
    Chapter 24 Analysis of Signaling Networks at the Single-Cell Level Using Mass Cytometry
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    Chapter 25 Magnetic Resonance Spectroscopy (MRS)-Based Methods for Examining Cancer Metabolism in Response to Oncogenic Kinase Drug Treatment
  27. Altmetric Badge
    Chapter 26 Deconstructing the Metabolic Networks of Oncogenic Signaling Using Targeted Liquid Chromatography-Tandem Mass Spectrometry (LC-MS/MS)
  28. Altmetric Badge
    Chapter 27 Modeling of Receptor Tyrosine Kinase Signaling: Computational and Experimental Protocols
  29. Altmetric Badge
    Chapter 28 An Interdisciplinary Approach for Designing Kinetic Models of the Ras/MAPK Signaling Pathway
  30. Altmetric Badge
    Chapter 29 Databases and Computational Tools for Evolutionary Analysis of Protein Phosphorylation
  31. Altmetric Badge
    Chapter 30 Informatics Approaches for Predicting, Understanding, and Testing Cancer Drug Combinations
  32. Altmetric Badge
    Chapter 31 Target Inhibition Maps Based on Responses to Kinase Inhibitors
  33. Altmetric Badge
    Chapter 32 Partial Least Squares Regression Models for the Analysis of Kinase Signaling
Attention for Chapter 15: Characterization of the Phospho-Adhesome by Mass Spectrometry-Based Proteomics
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

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Chapter title
Characterization of the Phospho-Adhesome by Mass Spectrometry-Based Proteomics
Chapter number 15
Book title
Kinase Signaling Networks
Published in
Methods in molecular biology, July 2017
DOI 10.1007/978-1-4939-7154-1_15
Pubmed ID
Book ISBNs
978-1-4939-7152-7, 978-1-4939-7154-1
Authors

Robertson, Joseph, Humphries, Jonathan D, Paul, Nikki R, Warwood, Stacey , Knight, David, Adam Byron, Humphries, Martin J, Joseph Robertson, Jonathan D. Humphries, Nikki R. Paul, Stacey Warwood, David Knight, Martin J. Humphries

Abstract

Integrin adhesion receptors engage with their extracellular matrix (ECM) ligands, initiating intracellular signaling pathways that regulate a range of fundamental cell functions. Protein kinases and phosphatases play an integral role in integrin adhesion-mediated signaling. However, until recently, knowledge of the phosphorylation sites regulated downstream of integrin ligation was limited to candidate-based approaches and did not support a system-level understanding of the molecular mechanisms through which ECM engagement influences cell behavior. Here, we describe a mass spectrometry (MS)-based phosphoproteomic protocol that enables the global characterization of phosphorylation-based signaling networks activated by integrin-mediated adhesion. To analyze specifically integrin-proximal signaling, the phosphoproteomic workflow involves the affinity-based isolation and analysis of integrin-associated complexes (IACs) rather than proteins solubilized from whole-cell lysates , which are typically used for global phosphoproteomic studies. The detection of phosphorylation sites from IAC proteins was optimized at various stages of the workflow, including IAC isolation, proteolytic digestion, and MS-based data acquisition strategies. The protocol permits the identification and quantification of IAC components by both Western blotting and MS. Notably, compared to phosphoproteomic analyses of cell lysates, the workflow described here enables an improved detection of phosphorylation sites from well-defined IAC proteins, including many known components of the signaling pathways activated by adhesion to the ECM.

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X Demographics

The data shown below were collected from the profiles of 16 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 31%
Student > Master 3 23%
Student > Bachelor 2 15%
Lecturer > Senior Lecturer 1 8%
Student > Doctoral Student 1 8%
Other 1 8%
Unknown 1 8%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 46%
Medicine and Dentistry 2 15%
Pharmacology, Toxicology and Pharmaceutical Science 1 8%
Psychology 1 8%
Agricultural and Biological Sciences 1 8%
Other 0 0%
Unknown 2 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 08 January 2018.
All research outputs
#3,629,810
of 24,593,555 outputs
Outputs from Methods in molecular biology
#875
of 13,823 outputs
Outputs of similar age
#63,795
of 318,809 outputs
Outputs of similar age from Methods in molecular biology
#9
of 269 outputs
Altmetric has tracked 24,593,555 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,823 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 93% 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 318,809 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 79% of its contemporaries.
We're also able to compare this research output to 269 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 97% of its contemporaries.