Mycelial β-N-Acetylglucosaminidase of Streptomyces sp. Having β-N-Acetylgalactosaminidase Activity

Formation of transfer products from soybean arabinogalactan and glycerol by endo-1,4-β-d-galactanase from Penicillium citrinum was described. The amount of transfer products depended on the glycerol concentration. About 50% of the galactose residues which could be liberated from the polysaccharide by the enzyme were transferred to glycerol at an acceptor concentration of 2.5% (w/v). Transfer products with various polymerization degrees were accumulated at the beginning of the reaction and then those with higher polymerization degrees were degraded gradually. At a final stage of the reaction, two transfer products in addition to two hydrolysis products (galactose and galactobiose) were mainly accumulated. The two transfer products were isolated and their structures were examined. They were 2-O-β-d-galactosyl glycerol and O-β-d-galactosyl-(1 → 4)-O-β-d-galactosyl-(1 → 2)glycerol.     

Establishment and characterization of a novel ovarian clear cell carcinoma cell line,TU-OC-2, with loss of ARID1A expression

A new cell line of human ovarian clear cell carcinoma (CCC), TU-OC-2, was established and characterized. The cells were polygonal in shape, grew in monolayers without contact inhibition and were arranged in islands like pieces of a jigsaw puzzle. The chromosome numbers ranged from 41 to 96. A low rate of proliferation was observed and the doubling time was 37.5 h. The IC₅₀ values of cisplatin, 7-ethyl-10-hydroxycamptothecin (SN38), which is an active metabolite of camptothecin, and paclitaxel were 7.7 μM, 17.7 nM and 301 nM, respectively. The drug sensitivity assay indicated that TU-OC-2 was sensitive to SN38, but resistant to cisplatin and paclitaxel. Mutational analysis revealed that TU-OC-2 cells have no mutations of PIK3CA in exons 9 and 20 and of TP53 in exons 4–9. We observed the loss of ARID1A protein expression in TU-OC-2 cells by western blot analysis and in the original tumor tissue by immunohistochemistry. This cell line may be useful for studying the chemoresistant mechanisms of CCC and exploring novel therapeutic targets such as the ARID1A-related signaling pathway.     

EcoBalance 2018—Nexus of ideas: innovation by linking through life cycle thinking (9–12 October 2018, Tokyo,Japan)

The International Journal of Life Cycle Assessment -     

Personalized medicine and proteomics: lessons from non-small cell lung cancer

Personalized medicine allows the selection of treatments best suited to an individual patient and disease phenotype. To implement personalized medicine, effective tests predictive of response to treatment or susceptibility to adverse events are needed, and to develop a personalized medicine test, both high quality samples and reliable data are required. We review key features of state-of-the-art proteomic profiling and introduce further analytic developments to build a proteomic toolkit for use in personalized medicine approaches. The combination of novel analytical approaches in proteomic data generation, alignment and comparison permit translation of identified biomarkers into practical assays. We further propose an expanded statistical analysis to understand the sources of variability between individuals in terms of both protein expression and clinical variables and utilize this understanding in a predictive test.     

Effect of bile acids on the uptake of irinotecan and its active metabolite, SN-38, by intestinal cells

The intestinal transport of irinotecan (CPT-11) and its active metabolite, SN-38, has been previously reported (K. Kobayashi et al., Int. J. Cancer, 83 (1999) 491-496). In the present study, the effect of the two major primary bile acids, cholic acid (CA) and taurocholic acid (TCA), on the uptake of CPT-11 and SN-38 by hamster intestinal epithelial cells was investigated. These two bile acids at concentrations up to 200 microM did not directly alter the cellular uptake of CPT-11 and SN-38. However, under physiologically acidic intestinal pH conditions, micelle formation induced by 20 mM TCA significantly reduced the cellular uptake of CPT-11 and SN-38 by 60% and 80%, respectively.     

Proteomic signature of human cancer cells

We assessed proteomic profiles as biomarkers for monitoring cell phenotypes. Protein expression profiles were obtained by fluorescence two-dimensional difference gel electrophoresis (2-D-DIGE), in which quantitative ability is improved by labeling proteins with fluorescent dyes prior to electrophoresis. Integrated protein spot intensities were analyzed by a statistical approach. The proteomic data of two groups of cell lines: (1) adenocarcinoma (AC) cell lines derived from lung, pancreas and colon tissues and (2) lung cancer cell lines with different histological backgrounds, including AC, squamous cell carcinoma and small cell carcinoma, were assessed on the basis of prior biological information. Hierarchical clustering analysis and principal component analysis were used to divide the cell lines into subgroups on the basis of similarities between their protein expression profiles. The majority of cell lines were grouped according to their organ of origin or histological background. A machine-learning algorithm selected 32 protein spots that were responsible for the classification. The results indicate that proteomic data generated by 2-D-DIGE can provide a signature of essential cell phenotypes, suggesting that it might be possible to apply this technique to developing tumor markers that could identify the organ of origin of metastatic tumors and contribute to the differential diagnosis of lung cancer.