A procedure to remove protease activities from Bacillus subtilis sporulating cells and their crude extracts.

A simple procedure was developed to remove both extracellular and intracellular proteases associated with aporulating Bacillus subtilis cells. Cells are washed four times with 1 m KCl before breakage and their crude extracts are treated with 2 mm diisopropylfluorophosphate before passage through a hemoglobin-Sepharose affinity column. RNA polymerase in crude B. subtilis extracts treated by this procedure was stable, functionally and structurally, for more than 1 month at 4°C. This process for removing all proteases should work essentially with any crude extracts containing proteolytic activities.     

Rapid, single-step most-probable-number method for enumerating fecal coliforms in effluents from sewage treatment plants.

A single-step most-probable-number method for enumerating fecal coliforms in sewage treatment plant effluents is described. The method requires the use of only one lactose-based medium and a single incubation temperature of 44.5 degrees C, and it can be completed in 18 h or less, as compared with up to 72 h for the standard most-probable-number method. The appearance of growth is the sole criterion used for designating positives, which can be determined either by increases in the electrical impedance ratio of inoculated medium, as compared to an uninoculated control using a Bactometer model 32, or by visual examination of inoculated medium for turbidity. In trials with 53 samples of unchlorinated sewage treatment plant effluent, fecal coliform counts by the single-step most-probable-number method, throughout a range of less than 10 to almost 10(7) fecal coliforms per 100 ml of effluent, were in excellent agreement with counts abtained by the standard most-probable-number procedure. Similar agreement was obtained in comparative trials with 31 chlorinated effluent samples from two sewage treatment plants. Overall, 87% of 452 positives were confirmed as containing fecal coliforms. The applicability of the single-step most-probable-number method to automated sewage treatment plant operations is discussed.     

Purification of cytoplasmic antigens from the mycelial phase of Candida albicans: Possible advantages of its use in Candida serology

The serology of candidiasis is complicated by the use of poorly defined antigens. Total extracts of the yeast phase have been commonly used as cytoplasmic antigen, without regard to the significant amounts of carbohydrate that may contaminate such preparations. This is particularly true in the case of commercially available antigens that have been used as cytoplasmic antigens but actually are richer in carbohydrate than in protein. Affinity chromatography in concanavalin A — Sepharose provides a simple procedure to separate carbohydrates, mainly mannan, from protein antigens in whole Candida extracts. By using mannan-poor antigens, the specificity of serological reactions can be increased considerably, since both the positive reactions seen in asymptomatic donors and the cross-reactions seen in patients infected with other fungi are due to anti-mannan antibodies. In contrast, both anti-mannan and anti-cytoplasmic antigen antibodies can be detected in patients suspected of systemic candidiasis. On the other hand, absolute specificity may never be achieved for systemic candidiasis. We have found antibodies against cytoplasmic antigen in a patient allergic to C. albicans, in whom the microorganism was isolated from fecal material. It appears that, under favorable conditions, mucosal sensitization may also trigger a systemic reaction directed against both mannan and cytoplasmic antigens.Publication no. 341 from The Department of Basic and Clinical Immunology and Microbiology, Medical University of South Carolina.     

Spore coat protein synthesis in cell-free systems from sporulating cells of Bacillus subtilis.

Cell-free systems for protein synthesis were prepared from Bacillus subtilis 168 cells at several stages of sporulation. Immunological methods were used to determine whether spore coat protein could be synthesized in the cell-free systems prepared from sporulating cells. Spore coat protein synthesis first occurred in extracts from stage t2 cells. The proportion of spore coat protein to total proteins synthesized in the cell-free systems was 2.4 and 3.9% at stages t2 and t4, respectively. The sodium dodecyl sulfate-urea-polyacrylamide gel electrophoresis patterns of immunoprecipitates from the cell-free systems showed the complete synthesis of an apparent spore coat protein precursor (molecular weight, 25,000). A polypeptide of this weight was previously identified in studies in vivo (L.E. Munoz, Y. Sadaie, and R.H. Doi, J. Biol. Chem., in press). The synthesis in vitro of polysome-associated nascent spore coat polypeptides with varying molecular weights up to 23,000 was also detected. These results indicate that the spore coat protein may be synthesized as a precursor protein. The removal of proteases in the crude extracts by treatment with hemoglobin-Sepharose affinity techniques may be preventing the conversion of the large 25,000-dalton precursor to the 12,500-dalton mature spore coat protein.     

Preparative steps necessary for the accurate measurement of malondialdehyde by high-performance liquid chromatography.

The need for a more specific, reliable, and reproducible technique for the measurement of malondialdehyde (MDA) has prompted modifications of currently available methods based on the formation and recovery of the complex between MDA and thiobarbituric acid (TBA). To 500 microliters of plasma or to 300 mg of liver homogenate, 2 ml of H2O and 500 microliters of 0.5% butylated hydroxytoluene in methanol were added to prevent further formation of MDA. Precipitation of proteins carried out with 200 microliters of 0.66 N H2SO4 and 150 microliters of 10% Na2WO4 (w/v) led to complete recovery of the MDA standard. Maximum formation of the MDA-TBA complex was obtained by adjusting the pH between 2.5 and 4.5 and heating the MDA-TBA mixture at 100 degrees C for 60 min. Extraction of the MDA-TBA complex was a critical step and proved complete with n-butanol at pH less than 0.75. It was then evaporated at 37 degrees C under nitrogen. The MDA-TBA complex solubilized in H2O was shown to be stable for at least 7 days. These preparative steps led to the detection of a single peak that on spectral analysis was identified as pure MDA-TBA. This procedure offers several advantages in terms of specificity, recovery, and reproducibility.     

Familial transmission of a 3q;22p translocation, with partial trisomy of chromosome 3 in the propositus

A family, carrying a balanced 3q;22p translocation, was detected through a propositus who showed multiple congenital malformations. As there are no previous references of similar cases where identification techniques were performed, the authors present this material for consideration in the delineation of clinical syndromes associated with specific chromosomal anomalies.     

Reactive oxygen species play a role in P2X7 receptor-mediated IL-6 production in spinal astrocytes

Purinergic Signalling - Astrocytes mediate a remarkable variety of cellular functions, including gliotransmitter release. Under pathological conditions, high concentrations of the purinergic...     

Convolutional neural networks improve species distribution modelling by capturing the spatial structure of the environment

Convolutional Neural Networks (CNNs) are statistical models suited for learning complex visual patterns. In the context of Species Distribution Models (SDM) and in line with predictions of landscape ecology and island biogeography, CNN could grasp how local landscape structure affects prediction of species occurrence in SDMs. The prediction can thus reflect the signatures of entangled ecological processes. Although previous machine-learning based SDMs can learn complex influences of environmental predictors, they cannot acknowledge the influence of environmental structure in local landscapes (hence denoted “punctual models”). In this study, we applied CNNs to a large dataset of plant occurrences in France (GBIF), on a large taxonomical scale, to predict ranked relative probability of species (by joint learning) to any geographical position. We examined the way local environmental landscapes improve prediction by performing alternative CNN models deprived of information on landscape heterogeneity and structure (“ablation experiments”). We found that the landscape structure around location crucially contributed to improve predictive performance of CNN-SDMs. CNN models can classify the predicted distributions of many species, as other joint modelling approaches, but they further prove efficient in identifying the influence of local environmental landscapes. CNN can then represent signatures of spatially structured environmental drivers. The prediction gain is noticeable for rare species, which open promising perspectives for biodiversity monitoring and conservation strategies. Therefore, the approach is of both theoretical and practical interest. We discuss the way to test hypotheses on the patterns learnt by CNN, which should be essential for further interpretation of the ecological processes at play.