A Genetic View of Influenza Infection

Informations projet

GV-FLU

N° de convention de subvention: 637885

DOI

10.3030/637885

Projet clôturé

Date de signature de la CE 29 Juin 2015

Date de début 1 Juillet 2015

Date de fin 30 Juin 2021

Financé au titre de

• EXCELLENT SCIENCE - European Research Council (ERC)

Coût total

€ 1 497 000,00

Contribution de l’UE

€ 1 497 000,00

Coordonné par

TEL AVIV UNIVERSITY
Israel

Periodic Reporting for period 4 - GV-FLU (A Genetic View of Influenza Infection)

Période du rapport: 2020-01-01 au 2021-06-30

Résumé du contexte et des objectifs généraux du projet

Although many factors (molecules or complexes) are known to have a role during the progress of respiratory infection caused by influenza viruses, yet it is unknown where, when, and in what context this role takes place. Revealing the context of activity is key to understanding mechanisms of in vivo infection and how to modulate and prevent susceptibility to infections. In the IGV-FLU project, we proposed to address this challenge through identification of key drivers together with their timing and location of activity. In particular, we exploited the natural genetic variation to collect biological factors, constructed a comprehensive dynamic network model of in vivo infection, and used this model to uncover and validate potential drivers of susceptibility to influenza virus infection.

Travail effectué depuis le début du projet jusqu’à la fin de la période considérée dans le rapport et principaux résultats atteints jusqu’à présent

We constructed the integrative network model, and uncovered strong molecular structures of the host response to influenza virus infection that are much more complex than we originally anticipated. Integration of genetics and prior knowledge into this computational model allowed us to characterize novel biological factors that have a critical role during influenza virus infection. We showed the effect of these factors on susceptibility to influenza virus infection, both in human and mouse.

Progrès au-delà de l’état des connaissances et impact potentiel prévu (y compris l’impact socio-économique et les conséquences sociétales plus larges du projet jusqu’à présent)

Identification of novel cellular dynamics that have an effect on susceptibility to IAV infection.
Identification of key molecular processes that act at the baseline state and have an effect on susceptibility to IAV infection, both in mouse and human.
Identification of a general integrative model for the genetic, molecular and cellular determinants of human infections.

picture2.png