The Elucidation of the involvement of endonuclease DNase y in reducing DNA transfection efficiency in mammalian cells

Gene therapy is predicated upon efficient gene transfer. While viral vectors are the method of choice for transformation efficiency, the immunogenicity and safety concerns remain problematic. Non-viral vectors, on the other hand, have shown high degrees of safety and are mostly non-immunogenic in nature. However, non-viral vectors usually suffer from low levels oftransformation efficiency and transgene expression. Thus, increasing transformation efficiency ofnon-viral vectors, in particular by calcium phosphate co-precipitation technique, is a way of generating a suitable vector for gene therapy and is the aim of this study. It is a long known fact that different cell lines have different transfection efficiencies regardless oftransfection methodology (Lin et a!., 1994). Using commonly available cell lines Madine-Darby Bovine Kidney (MDBK), HeLa and Human Embryonic Kidney (HEK-293), we have shown a decreasing trend ofDNase activity based on a plasmid digestion assay. From densitometry studies, as much as a 40% reduction in DNase activity was observed when comparing HEK-293 (least active) to MDBK (most active). Using various biochemical assays, it was determined that DNase y, in particular, was expressed more highly in MDBK cells than both HeLa and HEK-293. Upon cloning of the bovine DNase y gene, we utilized the sequence information to construct antisense expressing plasmids via both traditional antisense RNA (pASDGneoM) and siRNA (psiRNA-S4, psiRNA-S11 and psiRNA-S16). For the construction ofpASDGneoM, the 3' end of the DNase y was inserted in opposite orientation under a cytomegalovirus (CMV) promoter such that the expression ofRNA complementary to the DNase 2 ymRNA occurred. For siRNA plasmids, the sequence was screened to yield optimal short sequences for siRNA inhibition. The silencing ofbovine DNase y led to an increase in transfection efficiency based on traditional calcium phosphate co-precipitation technique; stable clones of siRNA-producing MDBK cell lines (psiRNA-S4 Bland psiRNA-S4 B4) both demol).strated 4-fold increases in transfection efficiency. Furthermore, serial transfection of antisense DNase y plasmid pASDGneoM and reporter pCMV-~ showed a maximum of 8-fold increase in transfection efficiency when the two separate transfections were carried out 4 hours apart (i.e. transfection ofpASDGneoM, separated by four hours, then transfection ofpCMV-~). Together, these results demonstrate the involvement ofDNase y in reducing transfection efficiency, at least by traditional calcium phosphate technique.

The identification and characterization of inter- and intra-species genetic diversity derived from retrotransposons in humans

Retrotransposons, which used to be considered as “junk DNA”, have begun to reveal their immense value to genome evolution and human biology due to recent studies. They consist of at least ~45% of the human genome and are more or less the same in other mammalian genomes. Retrotransposon elements (REs) are known to affect the human genome through many different mechanisms, such as generating insertion mutations, genomic instability, and alteration in gene expression. Previous studies have suggested several RE subfamilies, such as Alu, L1, SVA and LTR, are currently active in the human genome, and they are an important source of genetic diversity between human and other primates, as well as among humans. Although several groups had used Retrotransposon Insertion Polymorphisms (RIPs) as markers in studying primate evolutionary history, no study specifically focused on identifying Human-Specific Retrotransposon Element (HS-RE) and their roles in human genome evolution. In this study, by computationally comparing the human genome to 4 primate genomes, we identified a total of 18,860 HS-REs, among which are 11,664 Alus, 4,887 L1s, 1,526 SVAs and 783 LTRs (222 full length entries), representing the largest and most comprehensive list of HS-REs generated to date. Together, these HS-REs contributed a total of 14.2Mb sequence increase from the inserted REs and Target Site Duplications (TSDs), 71.6Kb increase from transductions, and 268.2 Kb sequence deletion of from insertion-mediated deletion, leading to a net increase of ~14 Mb sequences to the human genome. Furthermore, we observed for the first time that Y chromosome might be a hot target for new retrotransposon insertions in general and particularly for LTRs. The data also allowed for the first time the survey of frequency of TE insertions inside other TEs in comparison with TE insertion into none-TE regions. In summary, our data suggest that retrotransposon elements have played a significant role in the evolution of Homo sapiens.

Improving Short DNA Sequence Alignment with Parallel Computing

Variations in different types of genomes have been found to be responsible for a large degree of physical diversity such as appearance and susceptibility to disease. Identification of genomic variations is difficult and can be facilitated through computational analysis of DNA sequences. Newly available technologies are able to sequence billions of DNA base pairs relatively quickly. These sequences can be used to identify variations within their specific genome but must be mapped to a reference sequence first. In order to align these sequences to a reference sequence, we require mapping algorithms that make use of approximate string matching and string indexing methods. To date, few mapping algorithms have been tailored to handle the massive amounts of output generated by newly available sequencing technologies. In otrder to handle this large amount of data, we modified the popular mapping software BWA to run in parallel using OpenMPI. Parallel BWA matches the efficiency of multithreaded BWA functions while providing efficient parallelism for BWA functions that do not currently support multithreading. Parallel BWA shows significant wall time speedup in comparison to multithreaded BWA on high-performance computing clusters, and will thus facilitate the analysis of genome sequencing data.