A Genetic View of Influenza Infection

Información del proyecto

GV-FLU

Identificador del acuerdo de subvención: 637885

DOI

10.3030/637885

Proyecto cerrado

Fecha de la firma de la CE 29 Junio 2015

Fecha de inicio 1 Julio 2015

Fecha de finalización 30 Junio 2021

Financiado con arreglo a

• EXCELLENT SCIENCE - European Research Council (ERC)

Coste total

€ 1 497 000,00

Aportación de la UE

€ 1 497 000,00

Coordinado por

TEL AVIV UNIVERSITY
Israel

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

Período documentado: 2020-01-01 hasta 2021-06-30

Resumen del contexto y de los objetivos generales del proyecto

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.

Trabajo realizado desde el comienzo del proyecto hasta el final del período abarcado por el informe y los principales resultados hasta la fecha

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.

Avances que van más allá del estado de la técnica e impacto potencial esperado (incluida la repercusión socioeconómica y las implicaciones sociales más amplias del proyecto hasta la fecha)

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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