PATHSEEK

Automated Next Generation Sequencing for Diagnostic Microbiology

 Coordinatore UNIVERSITY COLLEGE LONDON 

 Organization address address: GOWER STREET
city: LONDON
postcode: WC1E 6BT

contact info
Titolo: Mr.
Nome: Martin
Cognome: Scott
Email: send email
Telefono: +44 20 3108 3098

 Nazionalità Coordinatore United Kingdom [UK]
 Totale costo 7˙627˙116 €
 EC contributo 5˙887˙033 €
 Programma FP7-HEALTH
Specific Programme "Cooperation": Health
 Code Call FP7-HEALTH-2012-INNOVATION-2
 Funding Scheme CP-FP
 Anno di inizio 2012
 Periodo (anno-mese-giorno) 2012-09-01   -   2016-02-29

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    UNIVERSITY COLLEGE LONDON

 Organization address address: GOWER STREET
city: LONDON
postcode: WC1E 6BT

contact info
Titolo: Mr.
Nome: Martin
Cognome: Scott
Email: send email
Telefono: +44 20 3108 3098

UK (LONDON) coordinator 2˙306˙514.94
2    OXFORD GENE TECHNOLOGY (OPERATIONS) Ltd

 Organization address address: Begbroke Science Park, Sandy Lane, Yarnton
city: OXFORD
postcode: OX5 PF

contact info
Titolo: Mr.
Nome: James
Cognome: Clough
Email: send email
Telefono: +44 01865 856827
Fax: +44 01865 848684

UK (OXFORD) participant 1˙356˙972.16
3    QIAGEN AARHUS AS

 Organization address address: SILKEBORGVEJ 2
city: AARHUS
postcode: 8000

contact info
Titolo: Mr.
Nome: Thomas
Cognome: Knudsen
Email: send email
Telefono: +45 70 22 32 44

DK (AARHUS) participant 1˙240˙980.00
4    ERASMUS UNIVERSITAIR MEDISCH CENTRUM ROTTERDAM

 Organization address address: 's Gravendijkwal 230
city: ROTTERDAM
postcode: 3015CE

contact info
Titolo: Prof.
Nome: Albert
Cognome: Osterhaus
Email: send email
Telefono: +31 010 704 4066

NL (ROTTERDAM) participant 982˙566.00

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

interpretation    patient    platform    data    appropriate    bioinformatics    diagnosis    resistance    rapid    personalized    platforms    health    tools    overcome    sequencing    drug    ngs    diagnostic    nosocomial    routine    deep    sensitivity    real    infection    pathogens    enrichment    infections    pathseek    public    pathogen    automated    microbiology    limited    clinical   

 Obiettivo del progetto (Objective)

'Sequencing platforms in diagnostic laboratories may aid both patient management by detecting resistance associated mutations, and public health measures, by determining phylogenetic relationships between infections from different patients. Current platforms are limited by the timeframe required for generating a result and by the limited sequence information provided on pathogens. To overcome these limitations PATHSEEK, a 42-month project, proposes to set up a disruptive diagnostic technological pathogen sequencing platform that will deliver in 24-48H, all possible drug resistance mutation as well as data on nosocomial infection, from one patient sample in one single assay. The PATHSEEK platform will open up a new era in clinical diagnosis and patient management by delivering, in one to two days, all the results needed to provide personalized treatment. The rapid delivery of results will ensure early, appropriate therapy thereby helping to reduce the development of drug- resistance and minimizing unnecessary, extra medical expense from the use of inappropriate drugs. Through its multiplex, ultra-deep sequencing capabilities, the platform will also impact public health management of nosocomial infections. At the local level, it will provide, in a simple and efficient manner, all data to control hospital-acquired infections and identify community clusters and transmission chains. At a larger scale, it will permit European and WHO Reference centres to follow, in real time, the spread of infection, allowing earlier interventions to mitigate pandemics.To achieve automated high coverage deep sequencing of any pathogens directly from clinical material for timely identification of drug resistance and outbreaks, PATHSEEK will develop a user-friendly diagnostic platform based on Next Generation Sequencing (NGS). PATHSEEK will overcome real and perceived barriers to the use of NGS for routine microbiology, by the innovative inclusion of customized, automated targeted-enrichment of pathogen nucleic acid prior to sequencing. This will improve the sensitivity and specificity of NGS methods for pathogen sequencing. Together with state of the art bench-top sequencing machines and novel bioinformatics tools to facilitate interpretation of results, these measures will provide rapid, personalized results, which are appropriate to real-life diagnostic workflows and clinical needs. To evaluate the performance of the proposed platform in clinical diagnostic settings, the consortium has selected eight key pathogens whose characteristics include a clear unmet clinical and public health need and/or for which the threat is of global importance. The pathogens will be used as proof of concept to show the benefit of new target enrichment and library preparation methods on pathogen purification and quality. New software and bioinformatics tools will tackle genuine concerns about data-interpretation complexity and results turn-around times for routine diagnostic applications.'

Introduzione (Teaser)

In microbiology, diagnosis using the method of sequencing could improve the sensitivity of detection and contribute towards better public health management.

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