Chapter title |
Heterologous Expression of Membrane Proteins
|
---|---|
Chapter number | 10 |
Book title |
Heterologous Expression of Membrane Proteins
|
Published in |
Methods in molecular biology, January 2016
|
DOI | 10.1007/978-1-4939-3637-3_10 |
Pubmed ID | |
Book ISBNs |
978-1-4939-3635-9, 978-1-4939-3637-3
|
Authors |
Hartmann, Lucie, Kugler, Valérie, Wagner, Renaud, Lucie Hartmann, Valérie Kugler, Renaud Wagner |
Editors |
Isabelle Mus-Veteau |
Abstract |
A key point when it comes to heterologous expression of eukaryotic membrane proteins (EMPs) is the choice of the best-suited expression platform. The yeast Pichia pastoris has proven to be a very versatile system showing promising results in a growing number of cases. Indeed, its particular methylotrophic characteristics combined to the very simple handling of a eukaryotic microorganism that possesses the majority of mammalian-like machineries make it a very competitive expression system for various complex proteins, in amounts compatible with functional and structural studies. This chapter describes a set of robust methodologies routinely used for the successful expression of a variety of EMPs, going from yeast transformation with the recombinant plasmid to the analysis of the quality and quantity of the proteins produced. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
China | 1 | 5% |
Unknown | 20 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 4 | 19% |
Student > Ph. D. Student | 4 | 19% |
Student > Master | 2 | 10% |
Professor > Associate Professor | 2 | 10% |
Researcher | 2 | 10% |
Other | 2 | 10% |
Unknown | 5 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 7 | 33% |
Agricultural and Biological Sciences | 7 | 33% |
Chemical Engineering | 1 | 5% |
Neuroscience | 1 | 5% |
Unknown | 5 | 24% |