Opendata, web and dolomites

COV RESTRIC

Unravelling species barriers of coronaviruses

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

Project "COV RESTRIC" data sheet

The following table provides information about the project.

Coordinator
EIDGENOESSISCHES DEPARTEMENT DES INNERN 

Organization address
address: Inselgasse 1
city: BERN
postcode: 3003
website: http://www.edi.admin.ch/index.html?lang=de

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Switzerland [CH]
 Project website https://www.ivi.unibe.ch/forschung/virologie/gruppe_thiel/projekte/index_ger.html
 Total cost 187˙419 €
 EC max contribution 187˙419 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2016
 Funding Scheme MSCA-IF-EF-SE
 Starting year 2017
 Duration (year-month-day) from 2017-05-01   to  2019-08-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    EIDGENOESSISCHES DEPARTEMENT DES INNERN CH (BERN) coordinator 187˙419.00

Map

 Project objective

'Human coronaviruses (CoVs) are distributed worldwide and cause a significant percentage of all common colds. Most of these viruses presumably emerged through zoonotic transmission, have adapted to the human host, and are now known to cause mild upper respiratory tract infections. However, the more recent zoonotic transmission of the highly pathogenic Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV) and the Middle East Respiratory Syndrome Coronavirus (MERS-CoV) have demonstrated the potential of coronaviruses to also cause highly severe human diseases and are associated with a high mortality. The precise mechanisms that allow coronaviruses to jump across species barriers are only poorly understood. 'COV RESTRIC' aims to unravel species barriers of coronavirus infections and to uncover basic host cell mechanisms preventing a transmission across different species. We hypothesize that conserved restriction factors exist between different species which limit viral replication and which need to be overcome via viral evasion and adaptation strategies in order to establish a zoonotic infection. These may include the lack or genetic incompatibility of essential viral replication co-factors as well as the presence of antiviral restriction mechanisms. We will use two complementary genetic screening approaches to identify unknown coronavirus restriction factors. Once we have identified possible candidates, we will analyze them for their cross-conservation employing coronaviruses from different species, such as human, bat and camel virus isolates, as well as the respective primary cell culture material originating from the authentic host. This approach will help to rigorously define species barriers to viral transmission which should promote future development of preventive and therapeutic strategies to combat emerging RNA virus infections in humans.'

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "COV RESTRIC" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "COV RESTRIC" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.1.3.2.)

COMLIB (2019)

Communists into Liberals: The Transformation and Demise of the Left as Precursor to the Illiberal Turn in Poland

Read More  

ELOTEQ (2019)

Interfacing Levitated Optomechanics with Superconducting Qubits

Read More  

PoSHGOAT (2020)

Potential-dependent Second-Harmonic Generation in Optical Antennas measured Time-resolved

Read More