A Genetic View of Influenza Infection

Informazioni relative al progetto

GV-FLU

ID dell’accordo di sovvenzione: 637885

DOI

10.3030/637885

Progetto chiuso

Data della firma CE 29 Giugno 2015

Data di avvio 1 Luglio 2015

Data di completamento 30 Giugno 2021

Finanziato da

• EXCELLENT SCIENCE - European Research Council (ERC)

Costo totale

€ 1 497 000,00

Contributo UE

€ 1 497 000,00

Coordinato da

TEL AVIV UNIVERSITY
Israel

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

Periodo di rendicontazione: 2020-01-01 al 2021-06-30

Sintesi del contesto e degli obiettivi generali del progetto

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.

Lavoro eseguito dall’inizio del progetto fino alla fine del periodo coperto dalla relazione e principali risultati finora ottenuti

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.

Progressi oltre lo stato dell’arte e potenziale impatto previsto (incluso l’impatto socioeconomico e le implicazioni sociali più ampie del progetto fino ad ora)

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.

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