Project description:Here we develop a high throughput sequencing method that enables accurate determination of charged tRNA fractions at single base resolution (Charged tRNA-seq). Our method takes advantage of the recently developed DM-tRNA-seq method, but includes additional chemical steps that specifically remove the 3'A residue in the uncharged tRNA. Charging fraction is obtained by counting the fraction of A-ending reads versus A+C-ending reads for each tRNA species. In HEK293T cells, most cytosolic tRNAs are charged at >90% levels, whereas tRNASer and tRNAThr are generally charged at lower levels. These low charging levels were validated using acid denaturing gels. Our method should be widely applicable for investigations of tRNA charging as a parameter for biological regulation.
Project description:The goal of this study was to compare the endogenous tRNA expression levels from cells transduced with a lentiviral vector encopding Cas9 and an sgRNA from a U6 or a Glutamine tRNA promoter. Using high-throughput sequencing methods (Illumina Hi-Seq 2000) we show that endogenous tRNA expression levels are not perturbed by expression of an sgRNA from a human tRNA.
Project description:The goal of this study was to compare the endogenous tRNA expression levels from cells transduced with a lentiviral vector encopding Cas9 and an sgRNA from a U6 or a Glutamine tRNA promoter. Using high-throughput sequencing methods (Illumina Hi-Seq 2000) we show that endogenous tRNA expression levels are not perturbed by expression of an sgRNA from a human tRNA. tRNA expression profiles were generated from 2 different transduced polyconal cell lines.
Project description:Purpose: High-throughput RNA sequencing has accelerated discovery of the complex regulatory roles of small RNAs, such those derived from tRNAs. Also recent advances in high-throughput RNA sequencing has revealed the complex RNA modification landscape and the complex role these nucleosides modifactions have in cell signalling, stem cell biology, development and cancer. The goal of this study is to establish how m5C-tRNA methylation and tRNA-derived small RNAs can affect stem cell fucntion in cancer. Methods: four replicates of tRNAs and RNA buisulphite sequencing of wild-type (WT) and NSun2 -/- mouse skin squamous tumours were generated by deep sequencing, using Illumina HiSeq platform. Results: Our analyses reveal that inhibition of post-transcriptional cytosine-5 methylation locks stem cells in this distinct translational inhibition programme that results in tumour progression but that also sentizes cancer cells to genotoxic stress. Transfer RNA (tRNA) sequencing and RNA Bisulphite sequencing of wild-type (WT) and NSun2 -/- mouse skin squamous tumours
