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The Nuclear Receptor Superfamily

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Attention for Chapter 6: Studying Nuclear Receptor Complexes in the Cellular Environment
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Chapter title
Studying Nuclear Receptor Complexes in the Cellular Environment
Chapter number 6
Book title
The Nuclear Receptor Superfamily
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3724-0_6
Pubmed ID
Book ISBNs
978-1-4939-3722-6, 978-1-4939-3724-0
Authors

Fred Schaufele

Abstract

The ligand-regulated structure and biochemistry of nuclear receptor complexes are commonly determined by in vitro studies of isolated receptors, cofactors, and their fragments. However, in the living cell, the complexes that form are governed not just by the relative affinities of isolated cofactors for the receptor but also by the cell-specific sequestration or concentration of subsets of competing or cooperating cofactors, receptors, and other effectors into distinct subcellular domains and/or their temporary diversion into other cellular activities. Most methods developed to understand nuclear receptor function in the cellular environment involve the direct tagging of the nuclear receptor or its cofactors with fluorescent proteins (FPs) and the tracking of those FP-tagged factors by fluorescence microscopy. One of those approaches, Förster resonance energy transfer (FRET) microscopy, quantifies the transfer of energy from a higher energy "donor" FP to a lower energy "acceptor" FP attached to a single protein or to interacting proteins. The amount of FRET is influenced by the ligand-induced changes in the proximities and orientations of the FPs within the tagged nuclear receptor complexes, which is an indicator of the structure of the complexes, and by the kinetics of the interaction between FP-tagged factors. Here, we provide a guide for parsing information about the structure and biochemistry of nuclear receptor complexes from FRET measurements in living cells.

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Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 25%
Researcher 1 25%
Unknown 2 50%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 50%
Unknown 2 50%