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NMDA Receptors

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Cover of 'NMDA Receptors'

Table of Contents

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    Book Overview
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    Chapter 1 NMDA Receptors in the Central Nervous System
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    Chapter 2 Quantification of NMDAR Subunit Genes Expression by qRT-PCR
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    Chapter 3 Genetic and Functional Analysis of GRIN2A in Tumor Samples
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    Chapter 4 Detection of NMDARs Antibodies in Encephalitis
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    Chapter 5 Magnetofection™ of NMDA Receptor Subunits GluN1 and GluN2A Expression Vectors in Non-Neuronal Host Cells
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    Chapter 6 Transfection in Primary Cultured Neuronal Cells
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    Chapter 7 Selective Cell-Surface Expression of Triheteromeric NMDA Receptors
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    Chapter 8 Functional Analysis of Recombinant Channels in Host Cells Using a Fast Agonist Application System
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    Chapter 9 GluN2B Subunit Labeling with Fluorescent Probes and High-Resolution Live Imaging
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    Chapter 10 Design of Light-Sensitive NMDARs by Genetically Encoded Photo-Cross-Linkers
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    Chapter 11 Gene Targeted Mice with Conditional Knock-In (-Out) of NMDAR Mutations
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    Chapter 12 Electrophysiological Investigation of NMDA Current Properties in Brain Slices
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    Chapter 13 Analysis of Functional NMDA Receptors in Astrocytes
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    Chapter 14 GluNs Detection and Functions in Microglial Cells
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    Chapter 15 NMDA Receptor Activity in Circulating Red Blood Cells: Methods of Detection
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    Chapter 16 NMDA Receptors as Voltage Sensors
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    Chapter 17 Development of a Computational Approach/Model to Explore NMDA Receptors Functions
Attention for Chapter 7: Selective Cell-Surface Expression of Triheteromeric NMDA Receptors
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Chapter title
Selective Cell-Surface Expression of Triheteromeric NMDA Receptors
Chapter number 7
Book title
NMDA Receptors
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-7321-7_7
Pubmed ID
Book ISBNs
978-1-4939-7320-0, 978-1-4939-7321-7
Authors

Feng Yi, Stephen F. Traynelis, Kasper B. Hansen

Abstract

The NMDA-type ionotropic glutamate receptors play pivotal roles in many brain functions, but are also involved in numerous brain disorders. Seven NMDA receptor subunits exist (GluN1, GluN2A-D, and GluN3A-B) that assemble into a diverse array of tetrameric receptor subtypes with distinct functional properties and physiological roles. Most NMDA receptors are composed of two GluN1 and two GluN2 subunits, which can assemble into four diheteromeric receptor subtypes composed of GluN1 and one type of GluN2 subunit (e.g., GluN1/2A), and presumably also six triheteromeric receptor subtypes composed of GluN1 and two different GluN2 subunits (e.g., GluN1/2A/2B). Despite accumulating evidence that a large proportion of native NMDA receptors are triheteromers, little is known about their function and pharmacology due to the lack of methods to faithfully express triheteromeric NMDA receptors in heterologous expression systems. The problem is that co-expression of GluN1 with two different GluN2 subunits generates two distinct diheteromeric receptor subtypes as well as one triheteromeric receptor subtype, thereby confounding studies on a homogenous population of triheteromeric NMDA receptors. Here, we will describe a method to selectively express recombinant triheteromeric GluN1/2A/2B receptors without interfering co-expression of diheteromeric GluN1/2A and GluN1/2B receptors. This method enables quantitative evaluation of functional and pharmacological properties of triheteromeric GluN1/2A/2B receptors, which are presumably the most abundant NMDA receptors in the adult cortex and hippocampus.

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Mendeley readers

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The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 27%
Student > Bachelor 3 20%
Student > Doctoral Student 2 13%
Professor > Associate Professor 2 13%
Professor 1 7%
Other 0 0%
Unknown 3 20%
Readers by discipline Count As %
Neuroscience 6 40%
Agricultural and Biological Sciences 2 13%
Biochemistry, Genetics and Molecular Biology 1 7%
Medicine and Dentistry 1 7%
Unknown 5 33%
Attention Score in Context

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 08 October 2017.
All research outputs
#18,573,839
of 23,005,189 outputs
Outputs from Methods in molecular biology
#7,961
of 13,159 outputs
Outputs of similar age
#311,404
of 421,224 outputs
Outputs of similar age from Methods in molecular biology
#693
of 1,074 outputs
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