Objective
Chinese hamster (CHO) ovary cells are the production host for a +50 billion €/yr biopharmaceuticals market. Current CHO production platforms dates to 1980 and are based primarily on media and process optimisation with little consideration to the optimization of the cellular machinery. Fortunately, with the recent sequencing of the CHO genome, an opportunity has opened to significantly advance the CHO platform. The benefit will be advanced production flexibility and a lower production cost.
This ITN graduate training programme - eCHO Systems - will blend conventional molecular, cellular, and synthetic biology with genome scale systems biology training in ‘omics data acquisition, biological network modeling, and genome engineering in three interdisciplinary topics:
1) Acquisition of large scale ‘omics data sets and their incorporation into genome-scale mathematical models
2) Development of genome engineering tools, enabling synthetic biology
3) Application of systems and synthetic biology and genome engineering to improve performance of CHO producers
The training projects are supported by 15 industrial participants, which will participate in the research and test the results. ESR training will include intense courses focused on computational systems biology, cell biology, business and entrepreneurship. The three universities bring unique complementary skills in systems and synthetic biology, ‘omics technologies, cytometry, and molecular cell biology which will provide depth and breadth to this training. The eCHO Systems will produce four major outputs: General knowledge to improve the productivity, quality, and efficiency of CHO platform cell lines, new systems models for CHO cells, new CHO cell line chassises generated through synthetic biology approaches, high quality education at the graduate level, and a cadre of interdisciplinary graduates poised to transform biopharmaceutical biotechnology.
Fields of science
- natural sciencesbiological sciencessynthetic biology
- natural sciencesbiological sciencescell biology
- natural sciencesbiological sciencesgeneticsgenomes
- natural sciencescomputer and information sciencessoftwaresoftware applicationssimulation software
- natural sciencesmathematicsapplied mathematicsmathematical model
Programme(s)
Call for proposal
H2020-MSCA-ITN-2014
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Funding Scheme
MSCA-ITN-ETN - European Training NetworksCoordinator
2800 Kgs Lyngby
Denmark
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Participants (5)
CT2 7NZ Canterbury, Kent
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9 Dublin
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8010 Graz
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Participation ended
88471 Laupheim
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1070 Brussels
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Partners (11)
1180 Wien
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3071 Boheimkirchen
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55218 Ingelheim
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1110 Wien
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TS23 1LH Billingham
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2800 Lyngby
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2860 Soborg
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2970 Hoersholm
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RG21 4FA Basingstoke
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50411 Tartu
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2333 CD Leiden
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