Genetic analysis of the chromosome of alkaliphilic Bacillus halodurans C-125

Seventeen Sse8387I linking clones isolated from the chromosome of Bacillus halodurans C-125 for the purpose of constructing a physical map were sequenced and analyzed by comparison with the BSORF database and the nonredundant protein databank. The orientations of Sse8387I or AscI linking clones serving to join adjacent fragments were determined by southern blot analysis using specific DNA probes. One-third of the open reading frames (ORFs) identified in the Sse8387I linking clones showed no significant similarity to any protein so far reported. The ORFs showing significant similarities to those of Bacillus subtilis were mapped in the chromosome of strain C-125, and the locations of the putative genes on the map were not well conserved between B. halodurans C-125 and B. subtilis. Received: March 26, 1999 / Accepted: April 27, 1999     

Discovery of novel scaffolds for γ-secretase modulators without an arylimidazole moiety

Gamma-secretase modulators (GSMs) selectively inhibit the production of amyloid-β 42 (Aβ42) and may therefore be useful in the management of Alzheimer’s disease. Most heterocyclic GSMs that are not derived from nonsteroidal anti-inflammatory drugs contain an arylimidazole moiety that potentially inhibits cytochrome P450 (CYP) activity. Here, we discovered imidazopyridine derivatives that represent a new class of scaffold for GSMs, which do not have a strongly basic end group such as arylimidazole. High-throughput screening identified 2-methyl-8-[(2-methylbenzyl)oxy]-3-(pyridin-4-yl)imidazo[1,2-a]pyridine (3a), which inhibited the cellular production of Aβ42 (IC₅₀?=?7.1?µM) without changing total production of Aβ. Structural optimization of this series of compounds identified 5-[8-(benzyloxy)-2-methylimidazo[1,2-a]pyridin-3-yl]-2-ethylisoindolin-1-one (3m) as a potent inhibitor of Aβ42 (IC₅₀?=?0.39?µM) but not CYP3A4. Further, 3m demonstrated a sustained pharmacokinetic profile in mice and sufficiently penetrated the brain.     

沟胫天牛亚科五新种及中国新纪录种(鞘翅目：天牛科)

该文记述沟胫天牛亚科Lamiinae 5新种,即十星星天牛Anoplophora decemmaculata sp. nov;黄斑肖墨天牛Xenohammus flavoguttatus sp. nov.;波纹肖锦天牛Perihammus undulatus sp. nov;黑带灰天牛Blepephaeus nigrofasciatus sp. nov;及黑角密缨天牛Mimothestus atricornis sp. nov同时记载我国1新纪录种,即硕天牛Ioesse sanguinolenta Thomson。     

RhoGDI is required for Cdc42-mediated cellular transformation

BACKGROUND: Cdc42, a Rho-related small GTP binding protein, plays pivotal roles in actin cytoskeletal organization, Golgi vesicular trafficking, receptor endocytosis, and cell cycle progression. However, the target/effectors mediating these cellular activities and, in particular, those responsible for Cdc42-mediated cell growth regulation and transformation are still being determined. In this study, we set out to examine how the regulatory protein RhoGDI influences the cellular responses elicited by activated Cdc42. RESULTS: X-ray crystallographic analysis of the Cdc42-RhoGDI complex suggested that arginine 66 of Cdc42 is essential for its interaction with RhoGDI. Here we show that mutation of either arginine 66 or arginine 68 within the Switch II domain of Cdc42 completely abolished the binding of Cdc42 to RhoGDI without affecting the binding of other known regulators or target/effectors of this GTP binding protein. Introduction of the RhoGDI binding-defective mutation R66A within a constitutively active Cdc42(F28L) background was accompanied by changes in cell shape and an accumulation of Cdc42 in the Golgi when these cells were compared to those expressing Cdc42(F28L). However, the most striking change was that unlike Cdc42(F28L), which was able to induce the transformation of NIH 3T3 fibroblasts as assayed by their growth in low serum or their ability to form colonies in soft-agar, the Cdc42(F28L,R66A) mutant was transformation-defective. Likewise, the introduction of RhoGDI siRNA into Cdc42(F28L)-transfected cells inhibited their transformation. CONCLUSIONS: Taken together, the results reported here indicate that despite being a negative regulator of Cdc42 activation and GTP hydrolysis, RhoGDI plays an essential role in Cdc42-mediated cellular transformation.     

GFS9/TT9 contributes to intracellular membrane trafficking and flavonoid accumulation in Arabidopsis thaliana

Flavonoids are the most important pigments for the coloration of flowers and seeds. In plant cells, flavonoids are synthesized by a multi‐enzyme complex located on the cytosolic surface of the endoplasmic reticulum, and they accumulate in vacuoles. Two non‐exclusive pathways have been proposed to mediate flavonoid transport to vacuoles: the membrane transporter‐mediated pathway and the vesicle trafficking‐mediated pathway. No molecules involved in the vesicle trafficking‐mediated pathway have been identified, however. Here, we show that a membrane trafficking factor, GFS9, has a role in flavonoid accumulation in the vacuole. We screened a library of Arabidopsis thaliana mutants with defects in vesicle trafficking, and isolated the gfs9 mutant with abnormal pale tan‐colored seeds caused by low flavonoid accumulation levels. gfs9 is allelic to the unidentified transparent testa mutant tt9. The responsible gene for these phenotypes encodes a previously uncharacterized protein containing a region that is conserved among eukaryotes. GFS9 is a peripheral membrane protein localized at the Golgi apparatus. GFS9 deficiency causes several membrane trafficking defects, including the mis‐sorting of vacuolar proteins, vacuole fragmentation, the aggregation of enlarged vesicles, and the proliferation of autophagosome‐like structures. These results suggest that GFS9 is required for vacuolar development through membrane fusion at vacuoles. Our findings introduce a concept that plants use GFS9‐mediated membrane trafficking machinery for delivery of not only proteins but also phytochemicals, such as flavonoids, to vacuoles.     

Growth and migration patterns of juvenile temperate seabass Lateolabrax japonicus in the Yura River estuary,Japan—combination of stable isotope ratio and otolith microstructure analyses

It is important to know the characteristics of migration pattern and vital rates of juveniles to understand the early life history and its effect on the population dynamics of fishes. The relationship between growth and migration pattern of juvenile temperate seabass Lateolabrax japonicus in the Yura River estuary was examined by combination of stable carbon isotope ratio (δ¹³C) and otolith microstructure. Gut fullness indices were also examined to know the feeding condition of juveniles. δ¹³C values of seabass juveniles in the lower estuary and surf zone (LES) were enriched, while those in freshwater zone (FW) were depleted, consistent with δ¹³C differences in prey items. The back-calculated growth rates of juveniles in FW were significantly lower than those of juveniles that resided in the LES from 50 days to 90 days old, implying that juveniles with poor growth ascended the river while those with better growth remained in the LES. However, the growth rates of the juveniles, which resided in FW for more than 1 month, caught up with and even overtook those of juveniles in LES within 1 month after ascended the river. The higher water temperature and better feeding conditions would contribute to better growth rates of juveniles in FW than those in LES.     

An Unsupervised Text Mining Method for Relation Extraction from Biomedical Literature

The wealth of interaction information provided in biomedical articles motivated the implementation of text mining approaches to automatically extract biomedical relations. This paper presents an unsupervised method based on pattern clustering and sentence parsing to deal with biomedical relation extraction. Pattern clustering algorithm is based on Polynomial Kernel method, which identifies interaction words from unlabeled data; these interaction words are then used in relation extraction between entity pairs. Dependency parsing and phrase structure parsing are combined for relation extraction. Based on the semi-supervised KNN algorithm, we extend the proposed unsupervised approach to a semi-supervised approach by combining pattern clustering, dependency parsing and phrase structure parsing rules. We evaluated the approaches on two different tasks: (1) Protein–protein interactions extraction, and (2) Gene–suicide association extraction. The evaluation of task (1) on the benchmark dataset (AImed corpus) showed that our proposed unsupervised approach outperformed three supervised methods. The three supervised methods are rule based, SVM based, and Kernel based separately. The proposed semi-supervised approach is superior to the existing semi-supervised methods. The evaluation on gene–suicide association extraction on a smaller dataset from Genetic Association Database and a larger dataset from publicly available PubMed showed that the proposed unsupervised and semi-supervised methods achieved much higher F-scores than co-occurrence based method.