A Genetic View of Influenza Infection

Projektinformationen

GV-FLU

ID Finanzhilfevereinbarung: 637885

DOI

10.3030/637885

Projekt abgeschlossen

EK-Unterschriftsdatum 29 Juni 2015

Startdatum 1 Juli 2015

Enddatum 30 Juni 2021

Finanziert unter

• EXCELLENT SCIENCE - European Research Council (ERC)

Gesamtkosten

€ 1 497 000,00

EU-Beitrag

€ 1 497 000,00

Koordiniert durch

TEL AVIV UNIVERSITY
Israel

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

Berichtszeitraum: 2020-01-01 bis 2021-06-30

Zusammenfassung vom Kontext und den Gesamtzielen des Projekts

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.

Arbeit, die ab Beginn des Projekts bis zum Ende des durch den Bericht erfassten Berichtszeitraums geleistet wurde, und die wichtigsten bis dahin erzielten Ergebnisse

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.

Fortschritte, die über den aktuellen Stand der Technik hinausgehen und voraussichtliche potenzielle Auswirkungen (einschließlich der bis dato erzielten sozioökonomischen Auswirkungen und weiter gefassten gesellschaftlichen Auswirkungen des Projekts)

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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