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Cancer Gene Networks

Overview of attention for book
Cover of 'Cancer Gene Networks'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction: Cancer Gene Networks.
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    Chapter 2 Emerging Methods in Chemoproteomics with Relevance to Drug Discovery.
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    Chapter 3 ANXA7-GTPase as Tumor Suppressor: Mechanisms and Therapeutic Opportunities.
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    Chapter 4 Experimental and Study Design Considerations for Uncovering Oncometabolites.
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    Chapter 5 Targeting Deubiquitinating Enzymes and Autophagy in Cancer.
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    Chapter 6 Quantitative Clinical Imaging Methods for Monitoring Intratumoral Evolution.
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    Chapter 7 Transcriptome and Proteome Analyses of TNFAIP8 Knockdown Cancer Cells Reveal New Insights into Molecular Determinants of Cell Survival and Tumor Progression.
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    Chapter 8 Network-Oriented Approaches to Anticancer Drug Response.
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    Chapter 9 CRISPR/Cas-Mediated Knockin in Human Pluripotent Stem Cells.
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    Chapter 10 Complete Transcriptome RNA-Seq.
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    Chapter 11 Computational Methods and Correlation of Exon-skipping Events with Splicing, Transcription, and Epigenetic Factors.
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    Chapter 12 Tissue Engineering Platforms to Replicate the Tumor Microenvironment of Multiple Myeloma.
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    Chapter 13 microRNA Target Prediction.
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    Chapter 14 Evaluating the Delivery of Proteins to the Cytosol of Mammalian Cells.
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    Chapter 15 Validation of Biomarker Proteins Using Reverse Capture Protein Microarrays.
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    Chapter 16 Chemical Synthesis of Activity-Based Diubiquitin Probes.
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    Chapter 17 Profiling the Dual Enzymatic Activities of the Serine/Threonine Kinase IRE1α.
Attention for Chapter 17: Profiling the Dual Enzymatic Activities of the Serine/Threonine Kinase IRE1α.
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Chapter title
Profiling the Dual Enzymatic Activities of the Serine/Threonine Kinase IRE1α.
Chapter number 17
Book title
Cancer Gene Networks
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6539-7_17
Pubmed ID
Book ISBNs
978-1-4939-6537-3, 978-1-4939-6539-7
Authors

Hannah C. Feldman, Dustin J. Maly

Editors

Usha Kasid, Robert Clarke

Abstract

There is an allosteric relationship between the kinase and RNase domains of the ER stress sensor IRE1α. This relationship has been exploited to develop ATP-competitive inhibitors that are able to divergently modulate the RNase activity of IRE1α through its kinase domain. Here, we describe a series of biochemical methods for profiling the dual enzymatic activities of IRE1α. These methods can be used to ascertain how ATP-competitive inhibitors affect the kinase activity of IRE1α and for determining whether these ligands allosterically activate or inactivate RNase activity.

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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 13 January 2018.
All research outputs
#10,980,937
of 12,358,022 outputs
Outputs from Methods in molecular biology
#5,692
of 8,323 outputs
Outputs of similar age
#224,710
of 270,765 outputs
Outputs of similar age from Methods in molecular biology
#31
of 55 outputs
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