Skip to main content
European Commission logo print header

Fast Assay for Pathogen Identification and Characterisation

Cel

The emergence of highly diverse resistance mechanisms among pathogens requires their detailed analysis to guarantee an efficient medical treatment. The gold standard in clinical diagnostics is based on the cultivation of bacteria and their phenotypical characterisation. However, these methods are labour-intensive and time-consuming lasting in some cases up to a few weeks. Thus, faster diagnostic techniques are necessary to ensure an immediate and targeted treatment of the patient. DNA-based diagnostics can provide the relevant results within a few hours.
The requirements for a clinical DNA-based characterisation method are high; more than 1000 clinically relevant antibiotic resistance genes, a few hundred phylogenetic marker genes and virulence factors have to be targeted (including SNP detection). The limit of detection has to be low because a few 100 bacterial cells in the blood system can lead to the death of the patient. It should be possible to analyse a wide range of clinical sample origins such as stool, blood, urine and saliva using the same test. In addition, the results have to be obtained within a single working day.
In our project, we will develop two diagnostic systems that can be with direct sample material from patients. Thus, the time-consuming cultivation of pathogens will be avoided. Additionally, the test will be more sensitive, specific and faster than any other test on the market using an innovative DNA probe concept.

Zaproszenie do składania wniosków

H2020-PHC-2014-2015

Zobacz inne projekty w ramach tego zaproszenia

Szczegółowe działanie

H2020-PHC-2014-two-stage

Koordynator

UNIVERSITE LYON 1 CLAUDE BERNARD
Wkład UE netto
€ 531 478,00
Adres
BOULEVARD DU 11 NOVEMBRE 1918 NUM43
69622 Villeurbanne Cedex
Francja

Zobacz na mapie

Region
Auvergne-Rhône-Alpes Rhône-Alpes Rhône
Rodzaj działalności
Higher or Secondary Education Establishments
Linki
Koszt całkowity
€ 718 978,00

Uczestnicy (10)