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Cancer Chemoprevention

Overview of attention for book
Cover of 'Cancer Chemoprevention'

Table of Contents

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    Book Overview
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    Chapter 1 Controlled Delivery of Chemopreventive Agents by Polymeric Implants
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    Chapter 2 Use of Buffy Coat miRNA Profiling for Breast Cancer Prediction in Healthy Women.
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    Chapter 3 microRNAs in Cancer Chemoprevention: Method to Isolate Them from Fresh Tissues.
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    Chapter 4 Application of RNA-Seq Technology in Cancer Chemoprevention.
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    Chapter 5 Detection of Circulating Tumor DNA in the Blood of Cancer Patients: An Important Tool in Cancer Chemoprevention.
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    Chapter 6 The Methylated DNA Immunoprecipitation [MeDIP] to Investigate the Epigenetic Remodeling in Cell Fate Determination and Cancer Development.
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    Chapter 7 LC-MS-Based Metabolomic Investigation of Chemopreventive Phytochemical-Elicited Metabolic Events
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    Chapter 8 1 H NMR Metabolomic Footprinting Analysis for the In Vitro Screening of Potential Chemopreventive Agents
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    Chapter 9 Comet Assay in Cancer Chemoprevention
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    Chapter 10 Angiogenesis Assays
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    Chapter 11 AlgiMatrix™-Based 3D Cell Culture System as an In Vitro Tumor Model: An Important Tool in Cancer Research
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    Chapter 12 Cancer Gastric Chemoprevention: Isolation of Gastric Tumor-Initiating Cells
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    Chapter 13 Isolation of Chemoresistant Cell Subpopulations.
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    Chapter 14 Autophagy in Cancer Chemoprevention: Identification of Novel Autophagy Modulators with Anticancer Potential
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    Chapter 15 Protocol for a Steady-State FRET Assay in Cancer Chemoprevention
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    Chapter 16 3D Tumor Models and Time-Lapse Analysis by Multidimensional Microscopy
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    Chapter 17 Antibody Array as a Tool for Screening of Natural Agents in Cancer Chemoprevention
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    Chapter 18 South African Herbal Extracts as Potential Chemopreventive Agents: Screening for Anticancer Splicing Activity
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    Chapter 19 Erratum to: South African Herbal Extracts as Potential Chemopreventive Agents: Screening for Anticancer Splicing Activity
Attention for Chapter 15: Protocol for a Steady-State FRET Assay in Cancer Chemoprevention
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Chapter title
Protocol for a Steady-State FRET Assay in Cancer Chemoprevention
Chapter number 15
Book title
Cancer Chemoprevention
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3191-0_15
Pubmed ID
Book ISBNs
978-1-4939-3190-3, 978-1-4939-3191-0
Authors

Marjolein C. A. Schaap, Andreia M. R. Guimarães, Andrew F. Wilderspin, Geoffrey Wells, Schaap, Marjolein C. A., Guimarães, Andreia M. R., Wilderspin, Andrew F., Wells, Geoffrey

Abstract

Cancer chemoprevention is an important strategy to prevent, reverse, or suppress the development of cancer. One of the target pathways that has emerged in recent years is the Keap1-Nrf2-ARE system that regulates the protection of cells against various carcinogens and their metabolites. Increased concentrations of the redox transcription factor nuclear factor erythroid 2-related factor 2 (Nrf2) induces the activation of antioxidant and phase 2 detoxifying genes. Nrf2 is regulated by substrate adaptor protein Kelch-like ECH-associated protein 1 (Keap1) that can target Nrf2 for ubiquitination and degradation by the proteasome. The interaction between Nrf2 and Keap1 can be disrupted at the protein-protein interface in order to increase Nrf2 activity for potential therapeutic purposes. This chapter describes a protocol for a steady-state fluorescence or Förster resonance energy transfer (FRET) assay to examine the Keap1-Nrf2 protein-protein interaction (PPI), to investigate the effects of Nrf2 mutations on Keap1 binding and finally to identify potential inhibitors of this PPI. In the assay system Keap1 is conjugated to an YFP protein at the N-terminus whereas an Nrf2-derived 16-mer peptide containing a high-affinity "ETGE" motif is conjugated to a CFP protein at the N-terminus.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 29%
Student > Master 2 29%
Researcher 1 14%
Unknown 2 29%
Readers by discipline Count As %
Neuroscience 2 29%
Biochemistry, Genetics and Molecular Biology 2 29%
Pharmacology, Toxicology and Pharmaceutical Science 1 14%
Unknown 2 29%