Objective
Protein glycosylation is a post-translational phenomenon that is involved in most physiological and disease processes including cancer. Most of the known cancer-associated glycobiomarkers were discovered individually using liquid chromatography and mass spectroscopy. Though valuable, there is room for improvement in these approaches for the discovery phase. There is also a critical need for innovative, rapid, and high-throughput (HTP) technologies that will translate the discovery of cancer-associated glycobiomarkers from basic science to clinical application.
The GlycoHIT consortium brings a highly experienced, innovative and interdisciplinary team of researchers from Europe, China and USA representing academia, industry and clinical fields to significantly enhance some of the existing glycoanalytical technologies and to advance novel HTP glycoanalytical technologies beyond current state of the art.
▪ Microchip technology and novel partitioning methods will be exploited for nanoscale HTP separations of serum glycoproteins for analysis by HPLC or LC–MS.
▪ In parallel, lectin array technology will be radically improved by the innovative use of recombinant human lectins and lectin mimics derived by screening large phage displayed combinatorial libraries.
▪ Aptamer libraries will be exploited for identification of lectin mimics and development of a glycosignature platform
▪ Compatibility of the lectin/lectin mimic array technologies with novel label-free biosensors will be explored.
Newly-developed technologies will be validated by analysis of serum samples from a variety of cancer patient cohorts and will be supported throughout by experimental interaction analysis, complex structural modelling and informatics.
Effective project management, commercially-aware intellectual property management and targeted dissemination activities supplement the core science and ensure maximum impact for the project.
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. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorsbiosensors
- natural sciencesbiological sciencesmicrobiologyvirology
- natural sciencesbiological sciencesbiochemistrybiomoleculesproteins
- medical and health sciencesclinical medicineoncology
- natural sciencesphysical sciencesopticsspectroscopy
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Call for proposal
FP7-HEALTH-2010-single-stage
See other projects for this call
Coordinator
H91 Galway
Ireland