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The Next Generation in Membrane Protein Structure Determination

Overview of attention for book
Attention for Chapter 1: Expression Screening of Integral Membrane Proteins by Fusion to Fluorescent Reporters.
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Chapter title
Expression Screening of Integral Membrane Proteins by Fusion to Fluorescent Reporters.
Chapter number 1
Book title
The Next Generation in Membrane Protein Structure Determination
Published in
Advances in experimental medicine and biology, August 2016
DOI 10.1007/978-3-319-35072-1_1
Pubmed ID
Book ISBNs
978-3-31-935070-7, 978-3-31-935072-1
Authors

Louise E. Bird, Joanne E. Nettleship, Valtteri Järvinen, Heather Rada, Anil Verma, Raymond J. Owens

Editors

Isabel Moraes

Abstract

The production of recombinant integral membrane proteins for structural and functional studies remains technically challenging due to their relatively low levels of expression. To address this problem, screening strategies have been developed to identify the optimal membrane sequence and expression host for protein production. A common approach is to genetically fuse the membrane protein to a fluorescent reporter, typically Green Fluorescent Protein (GFP) enabling expression levels, localization and detergent solubilisation to be assessed. Initially developed for screening the heterologous expression of bacterial membrane proteins in Escherichia coli, the method has been extended to eukaryotic hosts, including insect and mammalian cells. Overall, GFP-based expression screening has made a major impact on the number of membrane protein structures that have been determined in the last few years.

Mendeley readers

Mendeley readers

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 5 33%
Student > Bachelor 3 20%
Student > Ph. D. Student 2 13%
Student > Doctoral Student 1 7%
Unknown 4 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 27%
Immunology and Microbiology 3 20%
Agricultural and Biological Sciences 2 13%
Engineering 1 7%
Unknown 5 33%