A Major Role for Bacteriophage T4 DNA Polymerase in Frameshift Mutagenesis

T4 DNA polymerase strongly influences the frequency and specificity of frameshift mutagenesis. Fifteen of 19 temperature-sensitive alleles of the DNA polymerase gene substantially influenced the reversion frequencies of frameshift mutations measured in the T4 rII genes. Most polymerase mutants increased frameshift frequencies, but a few alleles (previously noted as antimutators for base substitution mutations) decreased the frequencies of certain frameshifts while increasing the frequencies of others. The various patterns of enhanced or decreased frameshift mutation frequencies suggest that T4 DNA polymerase is likely to play a variety of roles in the metabolic events leading to frameshift mutation. A detailed genetic study of the specificity of the mutator properties of three DNA polymerase alleles (tsL56, tsL98 and tsL88) demonstrated that each produces a distinctive frameshift spectrum. Differences in frameshift frequencies at similar DNA sequences within the rII genes, the influence of mutant polymerase alleles on these frequencies, and the presence or absence of the dinucleotide sequence associated with initiation of Okazaki pieces at the frameshift site has led us to suggest that the discontinuities associated with discontinuous DNA replication may contribute to spontaneous frameshift mutation frequencies in T4.     

Porcine Type III RNA Polymerase III Promoters for Short Hairpin RNA Expression

Based on the highly conserved sequences of small nuclear RNA and small cytoplasmic RNA between vertebrate species, three porcine type III RNA polymerase III promoters, pY1, pY3 and pU6, were identified by using genomic DNA walking. To test the functional relationship of these sequences, the human H1 promoter of pSUPER-EGFP-l-neo vector was substituted with these three promoters to create the ppPol III-MCS vectors. The strength of each promoter was measured by its ability to derive expression of shRNA to repress expression of luciferase via RNA interference in the pig kidney epithelial cell line LLC-PK1. We determine that the ranking of promoter strength in descending order is pU6 > pY1 > pY3.     

丙型肝炎病毒RNA多聚酶在昆虫细胞中的表达

HCV NS5B基因片段克隆入BAC-TO-BACTM重组杆状病毒表达系统的pFASTHTc载体质粒,转化DH10BACTM感受态细菌获得重组的Bacmid质粒,将重组Bacmid质粒转染Sf9细胞,获得的重组杆状病毒可表达目的蛋白.免疫印迹和体外活性检测表明,所表达蛋白为HCV NS5B蛋白,具有多聚酶活性.     

丙型肝炎病毒RNA多聚酶在昆虫细胞中的表达

ＨＣＶ ＮＳ５Ｂ基因片段克隆入ＢＡＣ－ＴＯ－ＢＡＣ＾ＴＭ重组杆状病毒表达系统的ｐＦＡＳＴＨＴｃ载体质粒,转化ＤＨ１０ＢＡＣ＾ＴＭ感受态细菌获得重组的Ｂａｃｍｉｄ质粒,将重组Ｂａｃｍｉｄ质粒转染Ｓｆ细胞,获得的重组杆状病毒可表达目的蛋白。免疫印迹和体外活性检测表明,所表达蛋白为ＨＣＶ ＮＳ５Ｂ蛋白,具有多聚酶活性。     

Connecting Mutations of the RNA Polymerase II C-Terminal Domain to Complex Phenotypic Changes Using Combined Gene Expression and Network Analyses

The C-terminal domain (CTD) of the largest subunit in DNA-dependent RNA polymerase II (RNAP II) is essential for mRNA synthesis and processing, through coordination of an astounding array of protein-protein interactions. Not surprisingly, CTD mutations can have complex, pleiotropic impacts on phenotype. For example, insertions of five alanine residues between CTD diheptads in yeast, which alter the CTD''s overall tandem structure and physically separate core functional units, dramatically reduce growth rate and result in abnormally large cells that accumulate increased DNA content over time. Patterns by which specific CTD-protein interactions are disrupted by changes in CTD structure, as well as how downstream metabolic pathways are impacted, are difficult to target for direct experimental analyses. In an effort to connect an altered CTD to complex but quantifiable phenotypic changes, we applied network analyses of genes that are differentially expressed in our five alanine CTD mutant, combined with established genetic interactions from the Saccharomyces cerevisiae Genome Database (SGD). We were able to identify candidate genetic pathways, and several key genes, that could explain how this change in CTD structure leads to the specific phenotypic changes observed. These hypothetical networks identify links between CTD-associated proteins and mitotic function, control of cell cycle checkpoint mechanisms, and expression of cell wall and membrane components. Such results can help to direct future genetic and biochemical investigations that tie together the complex impacts of the CTD on global cellular metabolism.