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Free Fatty Acid Receptors

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Attention for Chapter 58: Using Biosensors to Study Free Fatty Acid Receptor Pharmacology and Function
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Chapter title
Using Biosensors to Study Free Fatty Acid Receptor Pharmacology and Function
Chapter number 58
Book title
Free Fatty Acid Receptors
Published in
Handbook of experimental pharmacology, October 2016
DOI 10.1007/164_2016_58
Pubmed ID
Book ISBNs
978-3-31-950692-0, 978-3-31-950693-7
Authors

Hudson, Brian D, Brian D. Hudson, Hudson, Brian D.

Editors

Graeme Milligan, Ikuo Kimura

Abstract

The free fatty acid (FFA) family of G protein coupled receptors (GPCRs) has generated significant interest for exploiting its members as potential drug targets. However, unravelling the complex pharmacology of this family of receptors has proven challenging. In recent years the use of biosensor technologies capable of assessing biological functions in living cells, and in real time, has greatly enhanced our ability to study GPCR pharmacology and function. These include genetically encoded sensors that change the intensity or wavelength of light emitted from a bioluminescent or fluorescent protein in response to a stimulus, as well as non-genetically encoded sensors able to measure more global cellular changes, such as mass redistribution within a cell. This chapter will examine how these sensors can be used to study GPCRs, and in particular how they are helping uncover the pharmacology of the FFA family of receptors.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 33%
Student > Master 3 25%
Other 2 17%
Student > Postgraduate 1 8%
Unknown 2 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 42%
Pharmacology, Toxicology and Pharmaceutical Science 3 25%
Medicine and Dentistry 1 8%
Engineering 1 8%
Unknown 2 17%