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ITSaMATCH

Financiado

Mosquito-virus matchmaking: Elucidating the biological basis of compatibility b...

Mosquito-virus matchmaking: Elucidating the biological basis of compatibility between viruses and mosquitoes Half of the world’s population is at risk for mosquito-borne diseases. Yet, less than 3% of the mosquito species on earth can transmit pathogens to humans. Even within a species that specializes in biting humans and is the major v... ver más

30/09/2028

CNRS

2M€

Presupuesto del proyecto: 2M€

Líder del proyecto

CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2022-12-14

ERC-2022-STG: ERC STARTING GRANTS Scope:Objectives

I+D

Cerrada hace 2 años

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1 Participantes

CNRS

1.50M€ | Lider

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Duración del proyecto: 69 meses Fecha Inicio: 2022-12-14
Fecha Fin: 2028-09-30

Líder del proyecto

CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 2M€

Descripción del proyecto Half of the world’s population is at risk for mosquito-borne diseases. Yet, less than 3% of the mosquito species on earth can transmit pathogens to humans. Even within a species that specializes in biting humans and is the major vector for dengue virus (Aedes aegypti), mosquito populations on the globe transmit DENV with a wide range of efficiencies. Thus, some virus-mosquito pairs match with each other, and enable viral transmission, while others don’t. Understanding the biological processes that determine virus-mosquito compatibility is a longstanding question that has not yet been addressed, mostly owing to a lack of appropriate methods. Here, I propose to leverage advances in single-cell technology, gene editing and computational tools to understand the basis of virus-mosquito matchmaking. I will address three related challenges: 1 – Obtain single-cell transcriptional and epigenetic atlases for key organs of matched or unmatched virus-mosquito pairs. To be retransmitted, a virus needs to infect and transit through key organs in a mosquito’s body. Unknown factors that interfere with viral infection and impact further transmission exist in mosquito cells. They will be detected with single-cell technologies. 2 – Identify the key drivers of virus-mosquito matchmaking. Using cutting-edge single-cell data analysis methods, I will determine which genetic or epigenetic processes are associated with matched and unmatched virus-mosquito pairs. 3- Reprogram virus-mosquito matchmaking using genome editing. With key factors of matchmaking identified, I will genetically interfere with their function and determine whether virus-mosquito pairs can artificially be matched or unmatched. ITSaMATCH will combine new technologies to unravel the basis for virus-mosquito matchmaking. The project has the potential to substantially advance our understanding of virus-mosquito interactions and inform novel disease control strategies.

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