Chapter title |
Recombinant Gene Expression
|
---|---|
Chapter number | 17 |
Book title |
Recombinant Gene Expression
|
Published in |
Methods in molecular biology, November 2011
|
DOI | 10.1007/978-1-61779-433-9_17 |
Pubmed ID | |
Book ISBNs |
978-1-61779-432-2, 978-1-61779-433-9
|
Authors |
Diethard Mattanovich, Paola Branduardi, Laura Dato, Brigitte Gasser, Michael Sauer, Danilo Porro |
Editors |
Argelia Lorence |
Abstract |
Recombinant protein production is a multibillion-dollar market. The development of a new product begins with the choice of a production host. While one single perfect host for every protein does not exist, several expression systems ranging from bacterial hosts to mammalian cells have been established. Among them, yeast cell factories combine the advantages of being single cells, such as fast growth and easy genetic manipulation, as well as eukaryotic features including a secretory pathway leading to correct protein processing and post-translational modifications. In this respect, especially the engineering of yeast glycosylation to produce glycoproteins of human-like glycan structures is of great interest. Additionally, different attempts of cellular engineering as well as the design of different production processes that are leading to improved productivities are presented. With the advent of cheaper next-generation sequencing techniques, systems biotechnology approaches focusing on genome scale analyses will advance and accelerate yeast cell factories and thus recombinant protein production processes in the near future. In this review we summarize advantages and limitations of the main and most promising yeast hosts, including Saccharomyces cerevisiae, Pichia pastoris, and Hansenula polymorpha as those presently used in large scale production of heterologous proteins. |
X Demographics
Geographical breakdown
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Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Spain | 5 | <1% |
United States | 4 | <1% |
Mexico | 4 | <1% |
Germany | 3 | <1% |
United Kingdom | 3 | <1% |
Austria | 2 | <1% |
Sweden | 2 | <1% |
Denmark | 2 | <1% |
Lithuania | 1 | <1% |
Other | 11 | 1% |
Unknown | 793 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 181 | 22% |
Student > Bachelor | 139 | 17% |
Student > Master | 130 | 16% |
Researcher | 99 | 12% |
Student > Doctoral Student | 30 | 4% |
Other | 89 | 11% |
Unknown | 162 | 20% |
Readers by discipline | Count | As % |
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Agricultural and Biological Sciences | 263 | 32% |
Biochemistry, Genetics and Molecular Biology | 242 | 29% |
Engineering | 35 | 4% |
Chemistry | 29 | 3% |
Chemical Engineering | 18 | 2% |
Other | 64 | 8% |
Unknown | 179 | 22% |