In conclusion, the present study demonstrates an efficient transduction and therapy of experimental human glioblastoma by lentiviral vectors. The inefficient gene transfer by gammaretroviral vectors is in line with the results obtained in clinical trials and thus confirms the high relevance of the spheroid-based glioma animal model for translational research. A Microarray Based Approach for the Identification of Common Foodborne Viruses An oligonucleotide array (microarray) incorporating 13,000 elements representing selected strains of hepatitis A virus (HAV), human coxsackieviruses A and B (CVA and CVB), genogroups I and II of Norovirus (NV), and human rotavirus (RV) gene segments 3,4,10, and 11 was designed based on the principle of tiling. Each oligonucleotide was 29 bases long, starting at every 5th base of every sequence, resulting in an overlap of 24 bases in two consecutive oligonucleotides. The applicability of the array for virus identification was examined using PCR amplified products from multiple HAV and CV strains. PCR products labeled with biotin were hybridized to the array, and the biotin was detected using a brief reaction with Cy3-labeled streptavidin, the array subjected to laser scanning, and the hybridization data plotted as fluorescence intensity against each oligonucleotide in the array. The combined signal intensities of all probes representing a particular strain of virus were calculated and plotted against all virus strains identified on a linear representation of the array. The profile of the total signal intensity identified the strain that is most likely represented in the amplified cDNA target. The results obtained with HAV and CV indicated that the hybridization profile thus generated can be used to identify closely related viral strains. This represents a significant improvement over current methods for virus identification using PCR amplification and amplicon sequencing. Polymerase chain reaction (PCR) coupled to reverse transcription (RT) represents the most significant improvement in the area of RNA virus detection over classical cell culture based methods. In the classical culture based method, the principal mode of virus identification uses growth of the virus in permissive cells and observation of the morphological changes brought about by virus replication in the host cell [1] . Although it is possible to differentiate between cytopathic and non-cytopathic hepatitis A virus (HAV) strains due to a difference in the morphology of infected cells [2] , in practice such morphological identification is of limited value because the morphological effects are cell-line specific, and many viruses in the same genus (e.g. Enterovirus) produce rapid and similar cytopathic changes in many of the celllines normally used for virus detection. Moreover, using multiple cell-lines for virus detection is also labor intensive and time consuming, and further confirmation and identification often requires the use of additional techniques such as serotyping [1] .