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Decoding Context-Dependent Genetic Networks in vivo

Descrizione del progetto

Un’architettura genetica funzionale dei tessuti complessi in vivo

Il progetto DECODE, finanziato dall’UE, impiegherà metodi all’avanguardia di genetica dei sistemi al fine di studiare i determinanti molecolari per la specificazione del destino cellulare nei generi Arabidopsis e Drosophila, utilizzati rispettivamente come modello vegetale e animale, per decifrare reti genetiche dipendenti dal contesto in vivo. I partner del progetto con competenze in materia di genetica degli organismi modello e fenotipizzazione cellulare, genomica a cellula singola, statistica e biologia computazionale creeranno mappe genetiche funzionali attraverso perturbazioni di knock-out in vivo basate su CRISPR/Cas9 combinate a profilazione e imaging di espressione delle singole cellule. Le migliaia di knock-out condizionali e i diversi milioni di profili del trascrittoma a singola cellula con un imaging a risoluzione elevata creeranno la più grande mappa di perturbazione a cellula singola dell’organismo modello e forniranno informazioni fondamentali sull’architettura genetica dei tessuti complessi.

Obiettivo

The evolutionary success of multicellular organisms is based on the division of labor between cells. While some of the molecular determinants for cell fate specification have been identified, a fundamental understanding of which genetic activities are required in each cell of a developing tissue is still outstanding. The DECODE project will develop and apply leading-edge system genetics methods to Arabidopsis and Drosophila, two major model systems from the plant and animal kingdoms to decode context-dependent genetic networks in vivo. To achieve this, DECODE will bring together experimental and theoretical groups with complementary expertise in model organism genetics and cellular phenotyping, single-cell genomics, statistics and computational biology. Building on our combined expertise, we will create functional genetic maps using conditional CRISPR/Cas9-based single- and higher order knockout perturbations in vivo combined with single-cell expression profiling and imaging. Coupled with powerful computational analysis, this project will not only define, predict and rigorously test the unique genetic repertoire of each cell, but also unravel how genetic networks adapt their topology and function across cell types and external stimuli. With more than thousand conditional knockouts, characterized by several million single-cell transcriptome profiles and high-resolution imaging this project will create the largest single-cell perturbation map in any model organism and will provide fundamental insights into the genetic architecture of complex tissues. Analyzing two tissues with divergent organization and regulatory repertoire will enable us to uncover general principles in the genetic circuits controlling context
dependent cell behavior. Consequently, we expect that the DECODE project in model organisms will lay the conceptual and methodological foundation for perturbation-based functional atlases in other tissues or species.

Meccanismo di finanziamento

ERC-SyG - Synergy grant

Istituzione ospitante

DEUTSCHES KREBSFORSCHUNGSZENTRUM HEIDELBERG
Contribution nette de l'UE
€ 4 042 500,00
Indirizzo
IM NEUENHEIMER FELD 280
69120 Heidelberg
Germania

Mostra sulla mappa

Regione
Baden-Württemberg Karlsruhe Heidelberg, Stadtkreis
Tipo di attività
Research Organisations
Collegamenti
Costo totale
€ 4 042 500,00

Beneficiari (3)