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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 13: Heterologous Expression of Membrane Proteins
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Chapter title
Heterologous Expression of Membrane Proteins
Chapter number 13
Book title
Heterologous Expression of Membrane Proteins
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3637-3_13
Pubmed ID
Book ISBNs
978-1-4939-3635-9, 978-1-4939-3637-3
Authors

Chaudhary, Sarika, Saha, Sukanya, Thamminana, Sobrahani, Stroud, Robert M, Sarika Chaudhary, Sukanya Saha, Sobrahani Thamminana, Robert M. Stroud

Editors

Isabelle Mus-Veteau

Abstract

Membrane protein structural studies are frequently hampered by poor expression. The low natural abundance of these proteins implies a need for utilizing different heterologous expression systems. E. coli and yeast are commonly used expression systems due to rapid cell growth at high cell density, economical production, and ease of manipulation. Here we report a simplified, systematically developed robust strategy from small-scale screening to large-scale over-expression of human integral membrane proteins in the mammalian expression system for structural studies. This methodology streamlines small-scale screening of several different constructs utilizing fluorescence size-exclusion chromatography (FSEC) towards optimization of buffer, additives, and detergents for achieving stability and homogeneity. This is followed by the generation of stable clonal cell lines expressing desired constructs, and lastly large-scale expression for crystallization. These techniques are designed to rapidly advance the structural studies of eukaryotic integral membrane proteins including that of human membrane proteins.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 33%
Unspecified 1 17%
Student > Bachelor 1 17%
Student > Ph. D. Student 1 17%
Unknown 1 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 33%
Unspecified 1 17%
Pharmacology, Toxicology and Pharmaceutical Science 1 17%
Neuroscience 1 17%
Unknown 1 17%
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 04 August 2016.
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#20,336,685
of 22,881,964 outputs
Outputs from Methods in molecular biology
#9,921
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#330,749
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Outputs of similar age from Methods in molecular biology
#1,054
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