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dc.contributor.author
Belli, Olivier
dc.contributor.supervisor
Platt, Randall
dc.contributor.supervisor
Schwank, Gerald
dc.contributor.supervisor
Moor, Andreas
dc.date.accessioned
2024-06-18T06:47:16Z
dc.date.available
2024-06-17T14:56:51Z
dc.date.available
2024-06-18T06:47:16Z
dc.date.issued
2024
dc.identifier.uri
http://hdl.handle.net/20.500.11850/678761
dc.identifier.doi
10.3929/ethz-b-000678761
dc.description.abstract
Genetic tests play an increasingly pivotal role in predicting disease risks, prognosis and treatment response in the clinics. However, their interpretation is hindered by the prevalence of variants of uncertain significance (VUS) whose phenotypic effects remain elusive. Addressing this issue, multiplexed assays of variant effect (MAVEs) have been developed that enable the interrogation of protein functions and the assessment of variant pathogenicity. However, current workflows are limited in their ability to replicate variant diversity, genomic background, expression levels and cellular context. Here, we leveraged and combined multiple precision genome editing technologies, including cytosine and adenine base editors along with a prime editor, to assess the pathogenicity of a broad spectrum of variants in the genome of cells. We applied our multimodal approach to interrogate EGFR, uncovering pathogenic genetic variants driving oncogenesis and drug resistance. We identified known and novel hits, thus supporting the performance of the screening approach and providing new insights into underappreciated routes to EGFR activation and drug response. In the future, we envision that multimodal precision mutational scanning screens can be widely employed to comprehensively characterize genetic variation down to single nucleotide resolution across diverse genomic backgrounds, thereby contributing to the development of personalized treatment protocols.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
ETH Zurich
en_US
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.subject
Gene editing
en_US
dc.subject
Genetic screening
en_US
dc.subject
CRISPR
en_US
dc.subject
base editing
en_US
dc.subject
Prime editing
en_US
dc.subject
Cancer
en_US
dc.title
Precision genome editing screens to study genetic variants of uncertain significance
en_US
dc.type
Doctoral Thesis
dc.rights.license
In Copyright - Non-Commercial Use Permitted
dc.date.published
2024-06-18
ethz.size
143 p.
en_US
ethz.code.ddc
DDC - DDC::5 - Science::570 - Life sciences
en_US
ethz.identifier.diss
29998
en_US
ethz.publication.place
Zurich
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02060 - Dep. Biosysteme / Dep. of Biosystems Science and Eng.::09580 - Platt, Randall / Platt, Randall
en_US
ethz.date.deposited
2024-06-17T14:56:51Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2024-06-18T06:47:18Z
ethz.rosetta.lastUpdated
2024-06-18T06:47:18Z
ethz.rosetta.versionExported
true
ethz.COinS
ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.atitle=Precision%20genome%20editing%20screens%20to%20study%20genetic%20variants%20of%20uncertain%20significance&rft.date=2024&rft.au=Belli,%20Olivier&rft.genre=unknown&rft.btitle=Precision%20genome%20editing%20screens%20to%20study%20genetic%20variants%20of%20uncertain%20significance
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