CRISPR Cas9 based kidney disease modeling to elucidate novel genetic drivers and...
CRISPR Cas9 based kidney disease modeling to elucidate novel genetic drivers and therapeutic targets in X. tropicalis
CRISPR/Cas9 has untapped potential for disease modeling in the diploid amphibian model organism Xenopus tropicalis (X. tropicalis). Here, I propose to employ state-of-the-art CRISPR/Cas9 technologies (in vivo CRISPR Screening, ShC...
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Información proyecto xenCAKUT
Duración del proyecto: 30 meses
Fecha Inicio: 2020-03-06
Fecha Fin: 2022-09-30
Líder del proyecto
UNIVERSITAT ZURICH
No se ha especificado una descripción o un objeto social para esta compañía.
TRL
4-5
Presupuesto del proyecto
191K€
Fecha límite de participación
Sin fecha límite de participación.
Descripción del proyecto
CRISPR/Cas9 has untapped potential for disease modeling in the diploid amphibian model organism Xenopus tropicalis (X. tropicalis). Here, I propose to employ state-of-the-art CRISPR/Cas9 technologies (in vivo CRISPR Screening, ShCAST, CRISPR-NSID) to address two current unmet clinical needs in congenital anomalies of the kidney and urinary tract (CAKUT). First, I will generate a novel animal model for autosomal dominant polycystic kidney disease (ADPKD) and investigate the role of a potential new druggable therapeutic target (ALDH1A1). Second, I propose to couple CRISPR screening methods to classical Xenopus animal cap differentiation assays to identify genes essential in the differentiation of pluripotent precursor cells towards pronephric structures. I intend to perform in vivo validation of hits to identify genes which underlie CAKUT development in X. tropicalis. Because a molecular diagnosis for CAKUT can currently only be made in about 20% of the clinical cases, the further elucidation of underlying genetic causes for CAKUT is of major clinical relevance. In vivo validated Xenopus CAKUT disease causing genes will be integrated with clinician networks (ERKNet, NEOCYST). This interdisciplinary approach will use well-established techniques from developmental biology, state-of-the-art CRISPR/Cas9 approaches, light-sheet-microscopy and machine-learning based phenotyping protocols to model common genetic forms of kidney disease using the diploid vertebrate model X. tropicalis.