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Heterologous Expression of Membrane Proteins

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Cover of 'Heterologous Expression of Membrane Proteins'

Table of Contents

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    Book Overview
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    Chapter 1 Heterologous Expression of Membrane Proteins
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    Chapter 2 Heterologous Expression of Membrane Proteins
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    Chapter 3 Membrane Protein Production in Escherichia coli: Protocols and Rules.
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    Chapter 4 Codon Optimizing for Increased Membrane Protein Production: A Minimalist Approach.
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    Chapter 5 Generation of Tetracycline-Inducible Mammalian Cell Lines by Flow Cytometry for Improved Overproduction of Membrane Proteins.
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    Chapter 6 Membrane Protein Production in Lactococcus lactis for Functional Studies.
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    Chapter 7 Heterologous Expression of Membrane Proteins
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    Chapter 8 Leishmania tarentolae as a Promising Tool for Expressing Polytopic and Multi-Transmembrane Spans Eukaryotic Membrane Proteins: The Case of the ABC Pump ABCG6.
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    Chapter 9 Overexpression, Membrane Preparation, and Purification of a Typical Multidrug ABC Transporter BmrA.
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    Chapter 10 Heterologous Expression of Membrane Proteins
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    Chapter 11 Heterologous Expression of Membrane Proteins
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    Chapter 12 Heterologous Expression of Membrane Proteins
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    Chapter 13 Heterologous Expression of Membrane Proteins
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    Chapter 14 Heterologous Expression of Membrane Proteins
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    Chapter 15 Membrane Protein Solubilization and Composition of Protein Detergent Complexes.
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    Chapter 16 Detergent-Free Membrane Protein Purification.
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    Chapter 17 Conformational Dynamics and Interactions of Membrane Proteins by Hydrogen/Deuterium Mass Spectrometry.
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    Chapter 18 Lessons from an α-Helical Membrane Enzyme: Expression, Purification, and Detergent Optimization for Biophysical and Structural Characterization.
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    Chapter 19 Heterologous Expression of Membrane Proteins
Attention for Chapter 11: Heterologous Expression of Membrane Proteins
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Chapter title
Heterologous Expression of Membrane Proteins
Chapter number 11
Book title
Heterologous Expression of Membrane Proteins
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3637-3_11
Pubmed ID
Book ISBNs
978-1-4939-3635-9, 978-1-4939-3637-3
Authors

Boswell-Casteel, Rebba C, Johnson, Jennifer M, Stroud, Robert M, Hays, Franklin A, Rebba C. Boswell-Casteel, Jennifer M. Johnson, Robert M. Stroud, Franklin A. Hays

Editors

Isabelle Mus-Veteau

Abstract

Eukaryotic integral membrane proteins are challenging targets for crystallography or functional characterization in a purified state. Since expression is often a limiting factor when studying this difficult class of biological macromolecules, the intent of this chapter is to focus on the expression of eukaryotic integral membrane proteins (IMPs) using the model organism Saccharomyces cerevisiae. S. cerevisiae is a prime candidate for the expression of eukaryotic IMPs because it offers the convenience of using episomal expression plasmids, selection of positive transformants, posttranslational modifications, and it can properly fold and target IMPs. Here we present a generalized protocol and insights based on our collective knowledge as an aid to overcoming the challenges faced when expressing eukaryotic IMPs in S. cerevisiae.

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X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 1 3%
Unknown 36 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 22%
Student > Bachelor 7 19%
Student > Master 6 16%
Researcher 5 14%
Student > Postgraduate 3 8%
Other 0 0%
Unknown 8 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 35%
Biochemistry, Genetics and Molecular Biology 11 30%
Chemistry 3 8%
Physics and Astronomy 1 3%
Neuroscience 1 3%
Other 1 3%
Unknown 7 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 19 December 2017.
All research outputs
#15,332,207
of 23,577,761 outputs
Outputs from Methods in molecular biology
#4,903
of 13,410 outputs
Outputs of similar age
#222,959
of 397,072 outputs
Outputs of similar age from Methods in molecular biology
#482
of 1,472 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,410 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 58% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 397,072 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,472 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.