The Nuclear Receptor Superfamily Methods and Protocols

Acting principally to control patterns of gene expression, nuclear receptors play vital roles during embryonic development and in the regulation of metabolic and reproductive functions in adult life, which proves this superfamily of ligand-activated transcription factors to be a crucial part of biol...

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Bibliographic Details
Other Authors: McEwan, Iain J. (Editor)
Format: eBook
Language:English
Published: Totowa, NJ Humana 2009, 2009
Edition:1st ed. 2009
Series:Methods in Molecular Biology
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Nuclear Receptors: One Big Family
  • Ligand Binding and Nuclear Receptor Turnover
  • Methods for Measuring Ligand Dissociation and Nuclear Receptor Turnover in Whole Cells
  • Flow Cytometry as a Tool for Measurement of Steroid Hormone Receptor Protein Expression in Leukocytes
  • X-Ray Crystallography of Agonist/Antagonist-Bound Receptors
  • Nuclear Localization and DNA Binding
  • FRAP and FRET Methods to Study Nuclear Receptors in Living Cells
  • Receptor-DNA Interactions: EMSA and Footprinting
  • Chromatin Immunoprecipitation (ChIP) Methodology and Readouts
  • Nuclear Receptor—Co-Regulatory Protein Interactions
  • Yeast-Based Reporter Assays for the Functional Characterization of Cochaperone Interactions with Steroid Hormone Receptors
  • High Throughput Analysis of Nuclear Receptor–Cofactor Interactions
  • Binding Affinity and Kinetic Analysis of Nuclear Receptor/Co-Regulator Interactions Using Surface Plasmon Resonance
  • Using RNA Interference to Study Protein Function
  • Using Intrinsic Fluorescence Emission Spectroscopy to Study Steroid Receptor and Coactivator Protein Conformation Dynamics
  • Pathophysiological Analysis of Nuclear Receptor Function
  • Development of Phosphorylation Site-Specific Antibodies to Nuclear Receptors
  • Tissue-Selective Knockouts of Steroid Receptors: A Novel Paradigm in the Study of Steroid Action
  • Methods for Identifying and Studying Genetic Alterations in Hormone-Dependent Cancers