Visualising ribosome profiling and using it for reading frame detection and exploration of eukaryotic translation initiation

Ribosome profiling (ribo-seq) is a recently developed technique that provides genomewide information on protein synthesis (GWIPS) in vivo. The high resolution of ribo-seq is one of the exciting properties of this technique. In Chapter 2, I present a computational method that utilises the sub-codon precision and triplet periodicity of ribosome profiling data to detect transitions in the translated reading frame. Application of this method to ribosome profiling data generated for human HeLa cells allowed us to detect several human genes where the same genomic segment is translated in more than one reading frame. Since the initial publication of the ribosome profiling technique in 2009, there has been a proliferation of studies that have used the technique to explore various questions with respect to translation. A review of the many uses and adaptations of the technique is provided in Chapter 1. Indeed, owing to the increasing popularity of the technique and the growing number of published ribosome profiling datasets, we have developed GWIPS-viz (http://gwips.ucc.ie), a ribo-seq dedicated genome browser. Details on the development of the browser and its usage are provided in Chapter 3. One of the surprising findings of ribosome profiling of initiating ribosomes carried out in 3 independent studies, was the widespread use of non-AUG codons as translation initiation start sites in mammals. Although initiation at non-AUG codons in mammals has been documented for some time, the extent of non-AUG initiation reported by these ribo-seq studies was unexpected. In Chapter 4, I present an approach for estimating the strength of initiating codons based on the leaky scanning model of translation initiation. Application of this approach to ribo-seq data illustrates that initiation at non-AUG codons is inefficient compared to initiation at AUG codons. In addition, our approach provides a probability of initiation score for each start site that allows its strength of initiation to be evaluated.

Hepatitis C virus modulation of lipid and autophagy pathways

Hepatitis C virus [HCV] infects 170 million people worldwide. We investigated interactions between HCV proteins and cellular proteins involved in autophagy and lipid metabolism. We sought to develop an infection model using patient derived human serum containing HCV and human hepatocytes, Huh7 cells. Using the model, we have shown intracellular expression of incoming HCV RNA (5′ UTR region and region spanning the E1/E2 glycoproteins), expression of the HCV proteins, core and NS5B, and a cellular response to HCV infection. These data suggests this model can be used to analyse the early stage of HCV infection. HCV utilises the autophagy pathway to both establish infection and to complete its life cycle. We investigated HCV interaction with the early stage autophagy protein ATG5. We found that although ATG5 mRNA is unchanged in HCV infected cells, protein expression of ATG5 is significantly upregulated. These data indicated HCV controls the post-transcriptional regulation of ATG5. We used the upstream open reading frame (uORF) and the 5′ UTR region of ATG5 to examine the post-transcriptional regulation. Our data suggest HCV RNA replication either directly or indirectly causes post-transcriptional regulation of the early autophagy protein, ATG5 in a 5′ UTR and uORF independent manner. HCV infection leads to an increase in SREBP controlled genes e.g. HMG-CoA Reductase, cholesterol, LDL and fatty acid synthesis. We hypothesised that HCV infection causes the activation of SREBP pathway by interacting directly or indirectly with proteins involved in the initiation of the pathway. We sought to determine if HCV interacts with SCAP or INSIG. We confirmed a change in LD distribution and HMG-CoA reductase activity as a result of HCV RNA replication. Significantly, we show SCAP protein expression was also altered during HCV RNA replication and HCV core protein possibly interacts with SCAP.