Ziel
Since 2001’s discovery of microRNAs (miRNAs) in humans, progress in genomics and transcriptomics has increased our comprehension of gene expression regulation. miRNAs are small, noncoding RNA molecules showing huge promise as clinical biomarkers and diagnostic tools for illness and disease, as significant changes in their expression occur in response to pathological states. However, miRNA detection is still challenging nowadays, since costly, complex sample preparations and RNA amplifications are not yet reliable enough for clinical decision making. In this context, three innovative EU companies, Optoi Microelectronics - with microelectronic knowhow and manufacturing skills - DestiNA Genomics - with ‘error free’ chemical technology for microRNAs recognition – and GeneXplain – with bioinformatic capabilities - joined forces with four key academic research groups from the Universities of Trento (Italy), Granada (Spain), Hannover Medical School (Germany) and Santa Catarina (Brazil). All the parties combined their knowledge with respect to miRNA biomarkers with a particular focus on lung cancer, to develop a novel and reliable miRNA detection system for this disease. To this end, research collaborations will address the analysis of miRNAs specifically over-expressed in lung cancer, continuing experimental work already started in the past years, but with greater integration and focus.
Existing close partnerships with healthcare institutions will be strengthened, ensuring multi-site and multi-ethnic sampling. In parallel, optimization and validation of a miRNA detection kit based on Optoi semiconductor optical detector will continue. The DestiNA patented technology for specific nucleic acid recognition will be refined to reach the integration and result reliability required for use in clinical point of care testing. The strong network created between the companies and the academic institutions will thus provide a unique scientific and technological environment to turn the research outputs into an innovative product for healthcare advance and progress.
Wissenschaftliches Gebiet
CORDIS klassifiziert Projekte mit EuroSciVoc, einer mehrsprachigen Taxonomie der Wissenschaftsbereiche, durch einen halbautomatischen Prozess, der auf Verfahren der Verarbeitung natürlicher Sprache beruht.
CORDIS klassifiziert Projekte mit EuroSciVoc, einer mehrsprachigen Taxonomie der Wissenschaftsbereiche, durch einen halbautomatischen Prozess, der auf Verfahren der Verarbeitung natürlicher Sprache beruht.
- medical and health scienceshealth sciencespublic health
- natural sciencesbiological sciencesbiochemistrybiomoleculesnucleic acids
- medical and health sciencesbasic medicinepharmacology and pharmacypharmaceutical drugs
- medical and health sciencesclinical medicineoncologylung cancer
- natural sciencesbiological sciencesgeneticsRNA
Programm/Programme
Aufforderung zur Vorschlagseinreichung
Andere Projekte für diesen Aufruf anzeigenKoordinator
38121 Trento
Italien
Die Organisation definierte sich zum Zeitpunkt der Unterzeichnung der Finanzhilfevereinbarung selbst als KMU (Kleine und mittlere Unternehmen).