Introduction of tyramide signal amplification (TSA) to pre-embedding nanogold-silver staining at the electron microscopic level.

The tyramide signal amplification (TSA) technique has been shown to detect scarce tissue antigens in light and electron microscopy. In this study we applied the TSA technique at the electron microscopic level to pre-embedding immunocytochemistry. This protocol was compared to the non-amplified protocol. With the TSA protocol, the labeling of GM130, a cis-Golgi matrix protein, was tested in a cell line and found to be highly sensitive and more enhanced than that with the simple protocol. Moreover, the gold particles were well localized to the cis-side of the Golgi apparatus in both the TSA and the simple protocol.     

The effects of probiotics on PPI-triple therapy for Helicobacter pylori eradication

Background: This study was performed to evaluate whether the addition of probiotics to proton pump inhibitor (PPI)‐based triple therapy increases the likelihood of successful Helicobacter pylori eradication. Materials and Methods: Three hundred and forty‐seven H. pylori‐infected patients were randomized into a triple‐plus‐yogurt group (yogurt group, n = 168) or a triple‐only group (control group, n = 179). Triple therapy consisted of PPI b.i.d., clarithromycin 500 mg b.i.d., and amoxicillin 1 g b.i.d. for 7 days. Yogurt group received triple therapy for 1 week and one bottle of Will yogurt per day for at 3 weeks, starting on the first day of triple therapy. Will yogurt (a Korean brand) contains Lactobacillus acidophilus HY2177, Lactobacillus casei HY2743, Bifidobacterium longum HY8001, and Streptococcus thermophilus B‐1. ¹³C‐urea breath test was performed at least 4 weeks after completion of triple therapy. Eradication rates, compliances, and adverse events were compared. Results: By intention‐to treat analysis the H. pylori eradication rates in the yogurt group 79.2% (133 of 168) was similar to that in the control group 72.1% (129 of 179) (p = .124). However, by per‐protocol (PP) analysis, the eradication rate in the yogurt group, 87.5% (133 of 152) was higher than that in the control group, 78.7% (129 of 164) (p = .037). Common adverse events were metallic taste (11.8%) and diarrhea (8.6%). The frequency of adverse effects in the yogurt group 41.1% (69/168) were higher than in the control group, 26.3% (47 of 179) (p = .003). However, most adverse events were mild to moderate in intensity, and the severities of adverse effects were similar in both groups (p = .401). Conclusions: The addition of Will yogurt to triple therapy did not reduce the side‐effects of triple therapy. But it increased the H. pylori eradication rate by PP analysis, encouraging more research in this field.     

Acetylation of Smc3 by Eco1 is required for S phase sister chromatid cohesion in both human and yeast

Sister chromatid cohesion is normally established in S phase in a process that depends on the cohesion establishment factor Eco1, a conserved acetyltransferase. However, due to the lack of known in vivo substrates, how Eco1 regulates cohesion is not understood. Here we report that yeast Eco1 and its human ortholog, ESCO1, both acetylate Smc3, a component of the cohesin complex that physically holds the sister chromatid together, at two conserved lysine residues. Mutating these lysine residues to a nonacetylatable form leads to increased loss of sister chromatid cohesion and genome instability in both yeast and human. In addition, we clarified that the acetyltransferase activity of Eco1 is essential for its function. Our study thus identified a molecular target for the acetyltransferase Eco1 and revealed that Smc3 acetylation is a conserved mechanism in regulating sister chromatid cohesion.     

Hepatitis C virus (HCV) genotyping by annealing reverse transcription-PCR products with genotype-specific capture probes

The genotype of the hepatitis C virus (HCV) strain infecting a given patient is an important predictive factor for the clinical outcome of chronic liver disease and its response to anti-viral therapeutic agents. We herein sought to develop a new easy, sensitive and accurate HCV genotyping method using annealing genotype-specific capture probes (AGSCP) in an automation-friendly 96-well plate format. The validation of our new AGSCP was performed using the Standard HCV Genotype Panel. We then used both our AGSCP and the commercially available INNO-LiPA assay to analyze the HCV genotypes from 111 Korean patients. Discordant results were analyzed by direct sequencing. AGSCP successfully genotyped the standard panel. The genotypes of 111 patient samples were also obtained successfully by AGSCP and INNO-LiPA. We observed a high concordance rate (93 matched samples, 83.8%) between the two assays. Sequencing analysis of the 18 discordant results revealed that the AGSCP had correctly identified 12 samples, whereas the INNO-LiPA had correctly identified only 6. These results collectively indicate that AGSCP assay is a convenient and sensitive method for large-scale genotyping, and it may be a promising tool for the determination of HCV and other genotypes in clinical settings.     

LOMA: A fast method to generate efficient tagged-random primers despite amplification bias of random PCR on pathogens

Background  

Pathogen detection using DNA microarrays has the potential to become a fast and comprehensive diagnostics tool. However, since pathogen detection chips currently utilize random primers rather than specific primers for the RT-PCR step, bias inherent in random PCR amplification becomes a serious problem that causes large inaccuracies in hybridization signals.     

Enhanced membrane protein topology prediction using a hierarchical classification method and a new scoring function

The prediction of transmembrane (TM) helix and topology provides important information about the structure and function of a membrane protein. Due to the experimental difficulties in obtaining a high-resolution model, computational methods are highly desirable. In this paper, we present a hierarchical classification method using support vector machines (SVMs) that integrates selected features by capturing the sequence-to-structure relationship and developing a new scoring function based on membrane protein folding. The proposed approach is evaluated on low- and high-resolution data sets with cross-validation, and the topology (sidedness) prediction accuracy reaches as high as 90%. Our method is also found to correctly predict both the location of TM helices and the topology for 69% of the low-resolution benchmark set. We also test our method for discrimination between soluble and membrane proteins and achieve very low overall false positive (0.5%) and false negative rates (0 to approximately 1.2%). Lastly, the analysis of the scoring function suggests that the topogeneses of single-spanning and multispanning TM proteins have different levels of complexity, and the consideration of interloop topogenic interactions for the latter is the key to achieving better predictions. This method can facilitate the annotation of membrane proteomes to extract useful structural and functional information. It is publicly available at http://bio-cluster.iis.sinica.edu.tw/~bioapp/SVMtop.