The normalization of quantitative real time RT-PCR (qRT-PCR) is important to obtain accurate gene expression data. The most common method for qRT-PCR normalization is to use reference, or housekeeping genes. However, there is emerging evidence that even reference genes can be regulated under different conditions. qRT-PCR has only recently been used in terms of zebrafish gene expression studies and there is no validated set of reference genes. This study characterizes the expression of nine possible reference genes during zebrafish embryonic development and in a zebrafish tissue panel. All nine reference genes exhibited variable expression. The beta-actin, EF1alpha and Rpl13alpha genes comprise a validated reference gene panel for zebrafish developmental time course studies, and the EF1alpha, Rpl13alpha and 18S rRNA genes are more suitable as a reference gene panel for zebrafish tissue analysis. Importantly, the zebrafish GAPDH gene appears unsuitable as reference gene for both types of studies.

Humans have used S. cerevisiae to make alcoholic beverages for at least 5000 years and now this super-model research organism is central to advances in our biological understanding. Current models for S. cerevisiae suggest that its population comprises distinct domesticated and natural groups as well as mosaic strains, but we generally know little of the forces which shape its population structure. In order to test the roles that ecology and geography play in shaping the S. cerevisiae species we examined nine variable microsatellite loci in 172 strains of S. cerevisiae isolated from two spontaneous grape juice ferments, soil, flowers, apiaries and bark in New Zealand. Bayesian analysis shows that the S. cerevisiae in NZ comprise a subdivided but interbreeding population that out-crosses approximately 20% of the time. Some strains contributing to spontaneous ferments cluster with NZ soil/bark isolates, but others cluster with isolates from French oak barrels. It seems some strains have been globally dispersed by humans in oak barrels while some are locally vectored by insects. These data suggest geography is more important than ecology in shaping S. cerevisiae's population structure.

The increasing diagnostic use of gene sequencing has led to an expanding dataset of novel variants that lie within consensus splice junctions. The challenge for diagnostic laboratories is the evaluation of these variants in order to determine if they affect splicing or are merely benign. A common evaluation strategy is to use in silico analysis, and it is here that a number of programmes are available online; however, currently, there are no consensus guidelines on the selection of programmes or protocols to interpret the prediction results. Using a collection of 222 pathogenic mutations and 50 benign polymorphisms, we evaluated the sensitivity and specificity of four in silico programmes in predicting the effect of each variant on splicing. The programmes comprised Human Splice Finder (HSF), Max Entropy Scan (MES), NNSplice, and ASSP. The MES and ASSP programmes gave the highest performance based on Receiver Operator Curve analysis, with an optimal cut-off of score reduction of 10%. The study also showed that the sensitivity of prediction is affected by the level of conservation of individual positions, with in silico predictions for variants at positions −4 and +7 within consensus splice sites being largely uninformative.

INTRODUCTIONThe zebrafish (Danio rerio) has emerged as a popular model species. The rapid development of zebrafish embryos provides opportunities for investigation of genes essential for developmental processes, the human counterparts of which might be implicated in diseases. Understanding when and where genes are expressed can facilitate greater understanding of their function, and also allow the genes to be manipulated by gene knockdown in temporally and spatially specific manners. Quantitative real-time polymerase chain reaction (qRT-PCR) is widely applied in gene expression studies. This protocol presents techniques to optimize RNA isolation from zebrafish embryos; quality assessment and the use of multiple reference genes are also emphasized. The combined use of TRIzol extraction and column-based purification is strongly recommended, because the resulting RNA is of better quality than RNA isolated using either of those methods alone. The procedure can be performed in 2 d, with individual stages taking up to 15 h to complete.

Identification of adenoviral isolates of nonhuman origin has fostered development of vectors with potential to overcome preexisting immunity in the human population that may affect clinical applications. Ovine adenoviral isolate, OAdV287 (OAdV7), the prototype of the genus Atadenovirus, has been previously characterized as a gene delivery vector although the receptor(s) used for infection remain to be identified. Here, we report the first use of recombinant OAdV7 as a vaccine for inducing an antitumor immune response in a mouse model. Treatment of murine BMDC with OAdV7 vectors expressing ovalbumin (OVA) resulted in upregulation of costimulatory markers and production of IL-12. Splenocytes isolated from immunized mice responded to antigen restimulation in vitro by proliferation and production of IFNγ. In vivo cytotoxicity assays revealed efficient killing of antigenic peptide-pulsed target cells 1 week after immunization, with an average killing efficiency of 75%. In mice inoculated with B16-OVA tumor cells immunization with OAdV7-OVA retarded and essentially prevented tumor growth in prophylactic and therapeutic tumor trials, respectively. Generation of a robust memory response was confirmed on tumor rechallenge in the prophylactic model. Therefore, OAdV7 is a novel vector with potential for further development of tumor vaccines.