Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.770678
Title: Fine tuning gene expression levels in mammalian cells with engineered microRNA target sites
Author: Michaels, Yale
ISNI:       0000 0004 7653 8528
Awarding Body: University of Oxford
Current Institution: University of Oxford
Date of Award: 2018
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Abstract:
Precise, analogue regulation of gene expression is critical for development, homeostasis and regeneration in mammals. In contrast, widely employed experimental and therapeutic approaches such as knock-in/out strategies are more suitable for binary control of gene activity, while RNA interference (RNAi) can lead to pervasive off-target effects and unpredictable levels of repression. In this thesis, I report on a method for precise control of gene expression levels in mammalian cells based on engineered, synthetic microRNA response elements (MREs). To develop this system, we first tested a small panel of rationally designed MREs with various mismatches to miR-17 or miR-21. These MRE variants exerted predictable, stepwise control over reporter gene expression in a human cell line. Next, to improve the precision of MRE-based gene tuning, we established a high-throughput sequencing approach for measuring the efficacy of thousands of miR-17 MRE variants in parallel. This allowed us to create a library of microRNA silencing-mediated fine-tuners (miSFITs) of varying strength that can be employed to control the expression of user specified genes. A selection of miSFITs enabled precise, predictable tuning of PD-1, a co-inhibitory receptor expressed on T-cells and an important target for anti-tumour immunotherapy. In addition to tuning a PD-1 transgene in Jurkat T-cells, we successfully introduced miSFITs into the endogenous PD-1 3'UTR in embryonic stem cells using the CRISPR/Cas9 system. To further demonstrate the value of this technology, we also used a panel of miSFITs to tune the expression of a tumour-associated antigen in a mouse melanoma model. This analysis revealed that antigen expression level is a key determinant of the anti-tumour immune response in vitro and in vivo. miSFITs are a powerful tool for modulating gene expression levels with applications in research and cellular engineering.
Supervisor: Fulga, Tudor ; Milne, Thomas Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.770678  DOI: Not available
Keywords: Synthetic biology ; Genome Engineering ; Molecular biology
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