Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.790923
Title: Forward and reverse genetic approaches to studying ciliopathy in zebrafish
Author: Khosravi, Maryam
ISNI:       0000 0004 8500 0789
Awarding Body: UCL (University College London)
Current Institution: University College London (University of London)
Date of Award: 2019
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Abstract:
Genetic kidney diseases can often present with advanced renal failure, so remains undiagnosed, because urgent treatment with renal replacement therapy is prioritised over obtaining a genetic diagnosis. In a population with un-diagnosed familial kidney disease, two families were identified with distinct clinical phenotypes. Two novel mutations in HACL1 and COL4A1 were identified in these patients and their respective connection to cilia and collagen biology was sought. The mutations were modelled using the reverse genetic approach of CRISPR-Cas9 gene editing in zebrafish, and the resultant animal models were studied. After successfully generating zebrafish mutant alleles for the hacl1 disease gene, I went on to study the phenotype and assay the cilia in different organs of the zebrafish. I did not detect an overt phenotype. The desired col4a1 was obtained in injected embryos, but this mutation was not transmitted to further generations. Using a second approach of forward genetics, I characterised a novel mutant zebrafish line containing a mutation that disrupts function of the Ift144 ciliary protein. This mutant presents with a cystic pronephros and abnormal ciliary morphology. Having characterised this mutant and identified a mutation in ciliary protein ift144 by RNA sequencing, I went on to use this model for drug testing with selected drugs known to rescue renal cysts in other animal models. These drugs all significantly reduced cyst size in the zebrafish mutant, proving the principle that this model has good potential for high throughput in vivo screening of drugs to treat ciliopathies.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.790923  DOI: Not available
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