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Kinase Signaling Networks

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Cover of 'Kinase Signaling Networks'

Table of Contents

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    Book Overview
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    Chapter 1 Optogenetic Control of Ras/Erk Signaling Using the Phy–PIF System
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    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
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    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
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    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
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    Chapter 19 A Methodology for Comprehensive Analysis of Toll-Like Receptor Signaling in Macrophages
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    Chapter 20 Absolute Phosphorylation Stoichiometry Analysis by Motif-Targeting Quantitative Mass Spectrometry
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    Chapter 21 Identification of Plant Kinase Substrates Based on Kinase Assay-Linked Phosphoproteomics
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    Chapter 22 Mass Spectrometry Analysis of Spatial Protein Networks by Colocalization Analysis (COLA)
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    Chapter 23 Development of Selected Reaction Monitoring Methods to Systematically Quantify Kinase Abundance and Phosphorylation Stoichiometry in Human Samples
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    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
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    Chapter 26 Deconstructing the Metabolic Networks of Oncogenic Signaling Using Targeted Liquid Chromatography-Tandem Mass Spectrometry (LC-MS/MS)
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    Chapter 27 Modeling of Receptor Tyrosine Kinase Signaling: Computational and Experimental Protocols
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    Chapter 28 An Interdisciplinary Approach for Designing Kinetic Models of the Ras/MAPK Signaling Pathway
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    Chapter 29 Databases and Computational Tools for Evolutionary Analysis of Protein Phosphorylation
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    Chapter 30 Informatics Approaches for Predicting, Understanding, and Testing Cancer Drug Combinations
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    Chapter 31 Target Inhibition Maps Based on Responses to Kinase Inhibitors
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    Chapter 32 Partial Least Squares Regression Models for the Analysis of Kinase Signaling
Attention for Chapter 22: Mass Spectrometry Analysis of Spatial Protein Networks by Colocalization Analysis (COLA)
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Chapter title
Mass Spectrometry Analysis of Spatial Protein Networks by Colocalization Analysis (COLA)
Chapter number 22
Book title
Kinase Signaling Networks
Published in
Methods in molecular biology, July 2017
DOI 10.1007/978-1-4939-7154-1_22
Pubmed ID
Book ISBNs
978-1-4939-7152-7, 978-1-4939-7154-1
Authors

Faraz K. Mardakheh

Abstract

A major challenge in systems biology is comprehensive mapping of protein interaction networks. Crucially, such interactions are often dynamic in nature, necessitating methods that can rapidly mine the interactome across varied conditions and treatments to reveal change in the interaction networks. Recently, we described a fast mass spectrometry-based method to reveal functional interactions in mammalian cells on a global scale, by revealing spatial colocalizations between proteins (COLA) (Mardakheh et al., Mol Biosyst 13:92-105, 2017). As protein localization and function are inherently linked, significant colocalization between two proteins is a strong indication for their functional interaction. COLA uses rapid complete subcellular fractionation, coupled with quantitative proteomics to generate a subcellular localization profile for each protein quantified by the mass spectrometer. Robust clustering is then applied to reveal significant similarities in protein localization profiles, indicative of colocalization.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 33%
Researcher 1 33%
Unknown 1 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 33%
Design 1 33%
Unknown 1 33%