Direct construction of an open-sandwich enzyme immunoassay for one-step noncompetitive detection of thyroid hormone T4

To establish a sensitive noncompetitive immunoassay for thyroxine (T4), we attempted to isolate anti-T4 antibodies from a phage display library based on a phagemid pDong1 ( Dong et al. Anal. Biochem.2009, 36, 386 ), which was designed to enable open-sandwich enzyme-linked immunosorbent assay (OS-ELISA) after selection on immobilized antigen. After the Fab-displaying phage library made from the splenocytes of T4-KLH immunized mice was subjected to biopanning on T4-BSA, two T4-specific clones were obtained. When they were assayed by indirect competitive ELISA, both clones showed low IC(50) (5-13 ng/mL), indicating their high affinity to T4. When they were used for OS-ELISA that detects antigen-dependency of the interaction between variable domains V(H) and V(L), a clone successfully detected 1 ng/mL of T4 with a working range superior to that of competitive IA. OS-ELISA was also performed with maltose binding protein (MBP)-fused V(H)/V(L) of this clone, which showed a detection limit less than 0.1 ng/mL T4. Moreover, the assay showed cross-reactivity with T3 similar to that of competitive ELISA, and also gave a reasonable total serum T4 concentration (90 ng/mL) from ethanol-extracted sample serum using the recombinant proteins. This is the first direct construction of an OS-ELISA system bypassing hybridoma, which will be applicable to the detection of many other small molecule antigens.     

Distribution of the sulfite resistance gene SSU1-R and the variation in its promoter region in wine yeasts

The SSU1-R gene provides high sulfite resistance to the wine yeast Y9-16B. In this study, we examined the distribution of this gene in 61 wine yeasts and 4 laboratory yeasts. We also analyzed the number of repeats of a 76-bp promoter sequence and its relationship to sulfite resistance. We found that the SSU1-R gene was present in 31 of the 61 wine yeasts. Furthermore, we found that the number of repeats in the promoter region of SSU1-R varied from two to six. Using RsaI, which cuts only once in the repeat, we suggested that the repeats all consisted of the 76-bp sequence. Finally, we found that there was a complex relationship between the number of repeats and sulfite resistance.     

An automatic system using mobile-agent software to model the calculation process of a chemical vapor deposition film deposition simulator

We have developed an automatic modeling system for calculation processes of the simulator to reproduce experimental results of chemical vapor deposition (CVD), in order to decrease the calculation cost of the simulator. Replacing the simulator by the mathematical models proposed by the system will contribute towards decreasing the calculation costs for predicting the experimental results. The system consists of a mobile agent and two software resources in computer networks, that is, generalized modeling software and a simulator reproducing cross-sections of the deposited films on the substrates with the micrometer- or nanometer-sized trenches. The mobile agent autonomously creates appropriate models by moving to and then operating the software resources. The models are calculated by partial least squares regression (PLS), quadratic PLS (QPLS) and error back propagation (BP) methods using artificial neural networks (ANN) and expresses by mathematical formulas to reproduce the calculated results of the simulator. The models show good reproducibility and predictability both for uniformity and filling properties of the films calculated by the simulator. The models using the BP method yield the best performance. The filling property data are more suitable to modeling than film uniformity.     

Estimation of long-term dietary exposure to acrylamide of the Japanese people

Acrylamide is a probable human carcinogen and known human neurotoxin. This study estimated hypothetical long-term dietary exposure to acrylamide of the Japanese people using probabilistic and deterministic approaches by combining the concentration of acrylamide in foods with the amount and frequency of food consumption in the population. Data included acrylamide concentrations in more than 2400 individual food samples from a national survey and the literature from 2004 to 2013. Food consumption amounts were derived from the data of 24,293 Japanese citizens aged 1 year and older in the 2012 National Health and Nutrition Survey. Median lifetime average dietary exposure to acrylamide was estimated as 147–154 ng/kg body weight (bw)/day (95th percentile, 226–261 ng/kg bw/day). The deterministic estimate of lifetime exposure was 158 ng/kg bw/day and ranged from 119 ng/kg bw/day for the period of life after 60 years old to 409 ng/kg bw/day for the period between 1 and 6 years old. This study found that vegetables cooked at a high temperature, coffee and cooked potato were the major food groups contributing to long-term dietary acrylamide exposure of the Japanese people.     

A thread-level parallelization of pairwise additive potential and force calculations suitable for current many-core architectures

In molecular dynamics (MD) simulations, calculations of potentials and their derivatives by coordinate, i.e., forces, in a pairwise additive manner such as the Lennard–Jones interactions and a short-range part of the Coulombic interactions form the main part of arithmetic operations. It is essential to achieve high thread-level parallelization efficiency of these pairwise additive calculations of potentials and forces to use current supercomputers with many-core architectures effectively. In this paper, we propose four new thread-level parallelization algorithms for the pairwise additive potential and force calculations. We implement the four codes in a MD calculation code based on the fast multipole method. Performance benchmarks were taken on the FX100 supercomputer and Intel Xeon Phi coprocessor. The code succeeds in achieving high thread-level parallelization efficiency with 32 threads on the FX100 and up to 60 threads on the Xeon Phi.     

Microfluidic devices in superconducting magnets: on-chip free-flow diamagnetophoresis of polymer particles and bubbles

Superconducting magnets enable the study of high magnetic fields on materials and objects, for example in material synthesis, self-assembly or levitation experiments. The setups employed often lack in precise spatial control of the object of interest within the bore of the magnet. Microfluidic technology enables accurate manipulation of fluidic surroundings and we have investigated the integration of microfluidic devices into superconducting magnets to enable controlled studies of objects in high magnetic fields. Polymeric microparticles similar in size to biological cells were manipulated via diamagnetic repulsion. The particles were suspended in an aqueous paramagnetic medium of manganese (II) chloride and pumped into a microfluidic chip, where they were repelled in continuous flow by the high magnetic field. The extent of deflection was studied as a function of increasing (1) particle size, (2) paramagnetic salt concentration, and (3) magnetic field strength. Optimizing these parameters allowed for the spatial separation of two particle populations via on-chip free-flow diamagnetophoresis. Finally, preliminary findings on the repulsion of air bubbles are shown.     

Alcohol Precipitation for the Separation of α1 and α2 Components of Gelatin

Abstract

Optimal conditions of alcohol precipitation for the separation of α1 and α2 components were investigated. Under the optimal conditions, hot aqueous alcoholic solutions of gelatin on slow cooling, gave precipitates in which most of the α2 component was removed. Similarly, gelatin solutions of a little higher alcohol concentration gave, after centrifligation, supernatants with no α1 component.

Size exclusion chromatography of these samples, α2-removed precipitate and α1-removed supernatant, gave fractions in which the impurities were largely removed. The results indicate that the isolation of α1 and α2 components with little impurity is possible by the combination of the two techniques.     

High-throughput screening of improved protease inhibitors using a yeast cell surface display system and a yeast cell chip

Protease-targeted inhibitors have been promising pharmaceuticals. Here, we combined a yeast cell surface display system with a yeast cell chip for the high-throughput screening of protease inhibitors, and succeeded in improving the activity of a protease inhibitor.