An efficient method for the preparation of preferentially heterodimerized recombinant S100A8/A9 coexpressed in Escherichia coli

It is now known that multicomponent protein assemblies strictly regulate many protein functions. The S100 protein family is known to play various physiological roles, which are associated with alternative complex formations. To prepare sufficient amounts of heterodimeric S100A8 and S100A9 proteins, we developed a method for bicistronic coexpression from a single-vector system using Escherichia coli cells as a host. The complex formation between S100A8 and S100A9 appears to be dependent on the thermodynamic stability of the protein during expression. The stable S100A8/A9 heterodimer complex spontaneously formed during coexpression, and biologically active samples were purified by cation-exchange chromatography. Semi-stable homodimers of S100A8 and S100A9 were also formed when expressed individually. These results suggest that the assembly of S100 protein complexes might be regulated by expression levels of partner proteins in vivo. Because protein assembly occurs rapidly after protein synthesis, coexpression of relevant proteins is crucial for the design of multicomponent recombinant protein expression systems.     

Dock8 interacts with Nck1 in mediating Schwann cell precursor migration

During embryonic development of the peripheral nervous system (PNS), Schwann cell precursors migrate along neuronal axons to their final destinations, where they will myelinate the axons after birth. While the intercellular signals controlling Schwann cell precursor migration are well studied, the intracellular signals controlling Schwann cell precursor migration remain elusive. Here, using a rat primary cell culture system, we show that Dock8, an atypical Dock180-related guanine-nucleotide exchange factor (GEF) for small GTPases of the Rho family, specifically interacts with Nck1, an adaptor protein composed only of Src homology (SH) domains, to promote Schwann cell precursor migration induced by platelet-derived growth factor (PDGF). Knockdown of Dock8 or Nck1 with its respective siRNA markedly decreases PDGF-induced cell migration, as well as Rho GTPase activation, in precursors. Dock8, through its unique N-terminal proline-rich motif, interacts with the SH3 domain of Nck1, but not with other adaptor proteins composed only of SH domains, e.g. Grb2 and CrkII, and not with the adaptor protein Elmo1. Reintroduction of the proline-rich motif mutant of Dock8 in Dock8 siRNA-transfected Schwann cell precursors fails to restore their migratory abilities, whereas that of wild-type Dock8 does restore these abilities. These results suggest that Nck1 interaction with Dock8 mediates PDGF-induced Schwann cell precursor migration, demonstrating not only that Nck1 and Dock8 are previously unanticipated intracellular signaling molecules involved in the regulation of Schwann cell precursor migration but also that Dock8 is among the genetically-conservative common interaction subset of Dock family proteins consisting only of SH domain adaptor proteins.     

An enzyme combination assay for serum sphingomyelin: Improved specificity through avoiding the interference with lysophosphatidylcholine

Serum sphingomyelin (SM) has predictive value in the development of atherosclerosis. Furthermore, SM plays important roles in cell membrane structure, signal transduction pathways, and lipid raft formation. A convenient enzymatic method for SM is available for routine laboratory practice, but the enzyme specificity is not sufficient because of nonspecific reactions with lysophosphatidylcholine (LPC). Based on the differential specificity of selected enzymes toward choline-containing phospholipids, a two-step assay for measuring SM was constructed and its performance was evaluated using sera from healthy individuals on a Hitachi 7170 autoanalyzer. Results from this assay were highly correlated with theoretical serum SM concentrations estimated by subtracting phosphatidylcholine (PC) and LPC concentrations from that of total phospholipids determined using previously established methods. There was a good correlation between the results of SM assayed by the proposed method and the existing enzymatic method in sera from healthy individuals. Moreover, the proposed method was superior to the existing method in preventing nonspecific reactions with LPC present in sera. The proposed method does not require any pretreatment, uses 2.5 μl of serum samples, and requires only 10 min on an autoanalyzer. This high-throughput method can measure serum SM with sufficient specificity for clinical purposes and is applicable in routine laboratory practice.     

Knockdown of gene expression by antisense morpholino oligos in preimplantation mouse embryos cultured in vitro

Knockdown of gene expression by antisense morpholino oligos (MOs) is a simple and effective method for analyzing the roles of genes in mammalian cells. Here, we demonstrate the efficient delivery of MOs by Endo-Porter (EP), a special transfection reagent for MOs, into preimplantation mouse embryos cultured in vitro. A fluorescein-labeled control MO was applied for monitoring the incorporation of MOs into developing 2-cell embryos in the presence of varying amounts of EP and bovine serum albumin. In optimized conditions, fluorescence was detected in 2-cell embryos within a 3-h incubation period. In order to analyze the validity of the optimized conditions, an antisense Oct4 MO was applied for knockdown of the synthesis of OCT4 protein in developing embryos from the 2-cell stage. In blastocysts, the antisense Oct4 MO induced a decrease in the amount in OCT4 protein to less than half. An almost complete absence of OCT4-positive cells and nearly complete disappearance of the inner cell mass in the outgrowths of blastocysts were also noted. These phenotypes corresponded with those of Oct4-deficient mouse embryos. Overall, we suggest that the delivery of MOs using EP is useful for the knockdown of gene expression in preimplantation mouse embryos cultured in vitro.     

Microbial Diversity in Soil,Sand Dune and Rock Substrates of the Thar Monsoon Desert,India

A culture-independent diversity assessment of archaea, bacteria and fungi in the Thar Desert in India was made. Six locations in Ajmer, Jaisalmer, Jaipur and Jodhupur included semi-arid soils, arid soils, arid sand dunes, plus arid cryptoendolithic substrates. A real-time quantitative PCR approach revealed that bacteria dominated soils and cryptoendoliths, whilst fungi dominated sand dunes. The archaea formed a minor component of all communities. Comparison of rRNA-defined community structure revealed that substrate and climate rather than location were the most parsimonious predictors. Sequence-based identification of 1240 phylotypes revealed that most taxa were common desert microorganisms. Semi-arid soils were dominated by actinobacteria and alpha proteobacteria, arid soils by chloroflexi and alpha proteobacteria, sand dunes by ascomycete fungi and cryptoendoliths by cyanobacteria. Climatic variables that best explained this distribution were mean annual rainfall and maximum annual temperature. Substrate variables that contributed most to observed diversity patterns were conductivity, soluble salts, Ca²⁺ and pH. This represents an important addition to the inventory of desert microbiota, novel insight into the abiotic drivers of community assembly, and the first report of biodiversity in a monsoon desert system.     

Triphala,a formulation of traditional Ayurvedic medicine,shows protective effect against X-radiation in HeLa cells

Ayurveda is a holistic medical system of traditional medicine, and Triphala is one of the most popular formulations in Ayurveda. Triphala is composed of three kinds of herb, Terminalia chebula, Terminalia bellirica, and Emblica officinalis. Since Triphala is shown to exhibit a protective activity against ionizing radiation in mice, we investigated its activity in HeLa cells. We found that Triphala showed the protective effects against X-radiation and bleomycin, both of which generate DNA strand breaks, in HeLa cells. Further, Triphala efficiently eliminated reactive oxygen species (ROS) in HeLa cells. Thus, the antioxidant activity of Triphala would likely play a role in its protective actions against X-radiation and bleomycin because both agents damage DNA through the generation of ROS. These observations suggested that the radioprotective activity of Triphala can be, at least partly, studied with the cells cultured in vitro. The simple bioassay system with human cultured cells would facilitate the understanding of the molecular basis for the beneficial effects of Triphala.     

Quantitative and antioxidative behavior of Trolox in rats’ blood and brain by HPLC‐UV and SMFIA‐CL methods

Trolox, a water‐soluble vitamin E analogue has been used as a positive control in Trolox equivalent antioxidant capacity and oxygen radical antioxidant capacity assays due to its high antioxidative effect. In this study, the ex vivo antioxidative effects of Trolox and its concentration in blood and brain microdialysates from rat after administration were evaluated by newly established semi‐microflow injection analysis, chemiluminescence detection and HPLC‐UV. In the administration test, the antioxidative effect of Trolox in blood and brain microdialysates after a single administration of 200 mg/kg of Trolox to rats could be monitored. The antioxidative effects in blood (12.0 ± 2.1) and brain (8.4 ± 2.1, × 10³ antioxidative effect % × min) also increased. Additionally, the areas under the curve (AUC)s_0–360 (n = 3) for blood and brain calculated with quantitative data were 10.5 ± 1.2 and 9.7 ± 2.5 mg/mL × min, respectively. This result indicates that Trolox transferability through the blood–brain barrier is high. The increase in the antioxidative effects caused by Trolox in the blood and brain could be confirmed because good correlations between concentration and antioxidative effects (r ≥ 0.702) were obtained. The fact that Trolox can produce an antioxidative effect in rat brain was clarified. Copyright © 2015 John Wiley & Sons, Ltd.     

Epistatic Gene-Based Interaction Analyses for Glaucoma in eMERGE and NEIGHBOR Consortium

Primary open angle glaucoma (POAG) is a complex disease and is one of the major leading causes of blindness worldwide. Genome-wide association studies have successfully identified several common variants associated with glaucoma; however, most of these variants only explain a small proportion of the genetic risk. Apart from the standard approach to identify main effects of variants across the genome, it is believed that gene-gene interactions can help elucidate part of the missing heritability by allowing for the test of interactions between genetic variants to mimic the complex nature of biology. To explain the etiology of glaucoma, we first performed a genome-wide association study (GWAS) on glaucoma case-control samples obtained from electronic medical records (EMR) to establish the utility of EMR data in detecting non-spurious and relevant associations; this analysis was aimed at confirming already known associations with glaucoma and validating the EMR derived glaucoma phenotype. Our findings from GWAS suggest consistent evidence of several known associations in POAG. We then performed an interaction analysis for variants found to be marginally associated with glaucoma (SNPs with main effect p-value <0.01) and observed interesting findings in the electronic MEdical Records and GEnomics Network (eMERGE) network dataset. Genes from the top epistatic interactions from eMERGE data (Likelihood Ratio Test i.e. LRT p-value <1e-05) were then tested for replication in the NEIGHBOR consortium dataset. To replicate our findings, we performed a gene-based SNP-SNP interaction analysis in NEIGHBOR and observed significant gene-gene interactions (p-value <0.001) among the top 17 gene-gene models identified in the discovery phase. Variants from gene-gene interaction analysis that we found to be associated with POAG explain 3.5% of additional genetic variance in eMERGE dataset above what is explained by the SNPs in genes that are replicated from previous GWAS studies (which was only 2.1% variance explained in eMERGE dataset); in the NEIGHBOR dataset, adding replicated SNPs from gene-gene interaction analysis explain 3.4% of total variance whereas GWAS SNPs alone explain only 2.8% of variance. Exploring gene-gene interactions may provide additional insights into many complex traits when explored in properly designed and powered association studies.