Objective
A sustainable climate and an ecosystem-friendly economy demands novel ‘cell factories’, in which organisms convert renewable biomass into various biomaterials that would otherwise be derived from fossil fuels or (harsh) chemistry. Especially promising is the use of thermophilic bacteria and archaea that operate at high temperatures, as this can enable more efficient production processes. However, we currently know very little about the cellular protein machinery (or proteome) of thermophiles, which limits our ability to efficiently use them in cell factories.
The PROHITS project therefore creates a network for nine doctoral candidates to develop mass spectrometry (MS) driven proteomics approaches to study the in vivo proteome of thermophiles, and to apply the obtained insights to cell factory development. The first aim is to perform proteomics on single prokaryotic cells using advanced microfluidics, MS instrumentation and data analysis, to observe how proteomes vary in individual cells. The second aim is to enable thermal proteome profiling approaches for thermophiles, to observe how their proteomes respond to temperature changes. The third aim is to apply the proteomics insights for predicting how in vivo proteins respond to high temperatures, and to create more detailed genome-scale models of thermophiles. This information is used to improve an existing cell factory that produces lipids for medicine encapsulation, and to expand knowledge of thermophiles that can be used as cell factories.
To achieve this, PROHITS creates an integrated pipeline of experimental and computational approaches, built within a collaborative network of academics and industry. The doctoral candidates will obtain comprehensive and highly complementary skills, ranging from cutting-edge proteomics analysis, over data analysis and prediction, to systems biology approaches to optimize cell factories, which will enable them as future leaders of a thriving and forward-looking European bioeconomy.
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 sciencescomputer and information sciencesdata science
- natural sciencesphysical sciencesclassical mechanicsfluid mechanicsmicrofluidics
- natural sciencesbiological sciencesbiochemistrybiomoleculesproteinsproteomics
- natural sciencesbiological sciencesbiochemistrybiomoleculeslipids
- natural scienceschemical sciencesanalytical chemistrymass spectrometry
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Keywords
Programme(s)
- HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA) Main Programme
Funding Scheme
HORIZON-TMA-MSCA-DN - HORIZON TMA MSCA Doctoral NetworksCoordinator
1050 Bruxelles / Brussel
Belgium