Objective
Nearly all desirable biological activities, whether for the purposes of nutrition, pharmacology, biofuel production, or waste disposal, can be carried out by proteins. Nature has furnished a vast array of bioactive and biocatalytic tools, and with the advent of rational protein design nearly any imaginable bioactivity is at our fingertips. There is, therefore, a pressing need for cost-effective, safe, and easily scalable strategies for generating Recombinant Proteins (rProteins). The main bottleneck for mass-producing a whole host of valuable biologically active rProteins is the difficulty of recovering functional proteins from expression hosts.
This difficulty stems largely from the lack of sufficient know-how for manipulating protein biogenesis in the cell. The key component of protein biology, whether in the context of rProtein production or cell viability, is enabling a protein to achieve its proper folding state. Most proteins do not fold on their own – they require the assistance of a vast network of folding managers, or chaperones. The cellular chaperone machinery not only assists protein folding, it also carries out quality control, ensuring that proteins that are damaged or unable to fold for other reasons are properly disposed of through degradation or protective aggregation.
The aim of this proposal is to understand the protein biosynthetic pathway in sufficient detail, so as to be able to manipulate its overall function. My eventual goal is to exert control over folding and aggregation in order to produce higher yields of functional rProteins in eukaryotes. The biotechnological strategy will consist of: 1. Manipulating aggregation to remove damaged endogenous proteins from the folding proteome, thus diverting more resources to the folding of rProteins; 2. Manipulating the allocation of cellular chaperone resources between folding, degradation, and aggregation; 3. Utilizing aggregates to produce substantially higher amounts of functional rProteins.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural sciencesbiological sciencesbiochemistrybiomoleculesproteinsproteomics
- engineering and technologyenvironmental engineeringwaste management
- natural sciencesbiological sciencesbiochemistrybiomoleculesproteinsprotein folding
- engineering and technologyindustrial biotechnologybiomaterialsbiofuels
- medical and health sciencesbasic medicinepharmacology and pharmacy
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Call for proposal
ERC-2013-StG
See other projects for this call
Funding Scheme
ERC-SG - ERC Starting GrantHost institution
37075 Goettingen
Germany