METHODS: A total of 17 samples collected from December 2009 to January 2011 were analyzed. Reverse transcriptase polymerase chain reaction (PCR) was performed, followed by sequencing technique. Results were analyzed based on sequence information in GenBank. A second genotyping method (AmpliSens(®) HCV-1/2/3-FRT) was done, which differentiates HCV genotypes by means of real-time hybridization-fluorescence detection.
RESULTS: From 17 samples, four were untypeable by AmpliSens(®) HCV-1/2/3-FRT. Eleven of 13 (84.6%) results showed concordant genotypes. A specimen that was determined as genotype 3a by sequencing was genotype 1 by the AmpliSens(®) HCV-1/2/3-FRT. Another specimen that was genotype 1 by sequencing was identified as genotype 3 by AmpliSens(®) HCV-1/2/3-FRT.
CONCLUSION: HCV genotyping with AmpliSens(®) HCV-1/2/3-FRT using real-time PCR method provides a much simpler and more feasible workflow with shorter time compared to sequencing method. There was good concordance compared to sequencing method. However, more evaluation studies would be required to show statistical significance, and to troubleshoot discordant results. AmpliSens(®) HCV-1/2/3-FRT does differentiate between genotype but not until subtype level.
Objectives: To define, in an otherwise isogenic background, the relative effects of OqxR and RamR loss-of-function mutations on envelope protein production, envelope permeability and antimicrobial susceptibility. We also investigated the clinical relevance of an OqxR loss-of-function mutation, particularly in the context of β-lactam susceptibility.
Methods: Envelope permeability was estimated using a fluorescent dye accumulation assay. Antimicrobial susceptibility was measured using disc testing. Total envelope protein production was quantified using LC-MS/MS proteomics and quantitative RT-PCR was used to measure transcript levels.
Results: Loss of RamR or OqxR reduced envelope permeability in K. pneumoniae by 45%-55% relative to the WT. RamR loss activated AcrAB efflux pump production ∼5-fold and this reduced β-lactam susceptibility, conferring ertapenem non-susceptibility even in the absence of a carbapenemase. In contrast, OqxR loss specifically activated OqxAB efflux pump production >10 000-fold. This reduced fluoroquinolone susceptibility but had little impact on β-lactam susceptibility even in the presence of a β-lactamase.
Conclusions: Whilst OqxR loss and RamR loss are both seen in K. pneumoniae clinical isolates, only RamR loss significantly stimulates AcrAB efflux pump production. This means that only RamR mutants have significantly reduced β-lactamase-mediated β-lactam susceptibility and therefore represent a greater clinical threat.
RESULTS: iCLIP analysis found SAFB1 binding was enriched, specifically in exons, ncRNAs, 3' and 5' untranslated regions. SAFB1 was found to recognise a purine-rich GAAGA motif with the highest frequency and it is therefore likely to bind core AGA, GAA, or AAG motifs. Confirmatory RT-PCR experiments showed that the expression of coding and non-coding genes with SAFB1 cross-link sites was altered by SAFB1 knockdown. For example, we found that the isoform-specific expression of neural cell adhesion molecule (NCAM1) and ASTN2 was influenced by SAFB1 and that the processing of miR-19a from the miR-17-92 cluster was regulated by SAFB1. These data suggest SAFB1 may influence alternative splicing and, using an NCAM1 minigene, we showed that SAFB1 knockdown altered the expression of two of the three NCAM1 alternative spliced isoforms. However, when the AGA, GAA, and AAG motifs were mutated, SAFB1 knockdown no longer mediated a decrease in the NCAM1 9-10 alternative spliced form. To further investigate the association of SAFB1 with splicing we used exon array analysis and found SAFB1 knockdown mediated the statistically significant up- and downregulation of alternative exons. Further analysis using RNAmotifs to investigate the frequency of association between the motif pairs (AGA followed by AGA, GAA or AAG) and alternative spliced exons found there was a highly significant correlation with downregulated exons. Together, our data suggest SAFB1 will play an important physiological role in the central nervous system regulating synaptic function. We found that SAFB1 regulates dendritic spine density in hippocampal neurons and hence provide empirical evidence supporting this conclusion.
CONCLUSIONS: iCLIP showed that SAFB1 has previously uncharacterised specific RNA binding properties that help coordinate the isoform-specific expression of coding and non-coding genes. These genes regulate splicing, axonal and synaptic function, and are associated with neuropsychiatric disease, suggesting that SAFB1 is an important regulator of key neuronal processes.