| 研究実績の概要 |
During my stay with Prof Dedon, I was able to learn high throughput LC-MS method for the analysis of tRNA and RNA modifications. Using this method, I studied the impact of ferroptosis on glioma cells as well as the effect that some tRNA modifying enzymes have on glioma. I was able to identify various therapeutic targets. I also used this system to generate data on oxidative stress response, neural differentiation, and neurodegeneration. In addition, I learned methods for analysis of codon usage and bias in sequencing and proteomics datasets, which can be used to optimize gene constructs in genetic therapy approaches such as mRNA vaccines. Using this method I published a paper linking codon bias, ferroptosis, and tRNA modifications in glioma (Rashad et al, Neuroscience, 2022). Currently, there are 5 papers in preparation being written by myself or my students that are using data generated during my work at the Dedon lab.
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