Genome wide CRISPR/Cas9 knock out and interference screens to identify host factors involved in coronavirus infection
dc.rights.license | CC-BY-NC-ND | |
dc.contributor.advisor | Kuppeveld, Frank van | |
dc.contributor.author | Faber, Francisca | |
dc.date.accessioned | 2023-12-21T00:01:18Z | |
dc.date.available | 2023-12-21T00:01:18Z | |
dc.date.issued | 2023 | |
dc.identifier.uri | https://studenttheses.uu.nl/handle/20.500.12932/45648 | |
dc.description.sponsorship | Utrecht University | |
dc.language.iso | EN | |
dc.subject | Coronaviruses are positive single-stranded RNA viruses that can infect a wide variety of species and cause a wide range of symptoms. To understand coronavirus infection, it is important to characterize host interactions. To this end, we conduct genome wide CRISPR/Cas9 screens with Huh7 cells and PDCoV and HCoV 229E. These viruses are from different genera enabling us to compare results between genera. During previous CRISPR knock out screens with PDCoV we encountered the problem that only the en | |
dc.title | Genome wide CRISPR/Cas9 knock out and interference screens to identify host factors involved in coronavirus infection | |
dc.type.content | Master Thesis | |
dc.rights.accessrights | Open Access | |
dc.subject.courseuu | Drug Innovation | |
dc.thesis.id | 26701 |