人肾上腺内肽能神经的超微结构

应用抗生蛋白链菌素一生物素一过氧化物酶复合物的免疫电镜技术,在相邻切片中,分别观察人肾上腺内ＮＰＹ、ＶＩＰ、ＳＰ和ＣＧＲＰ免疫反应神经纤维的超微结构和免疫反应物的定位。ＮＰＹ和ＶＩＰ免疫反应物位于小颗粒羹泡和线粒体外膜,部分嗜铬细胞呈ＮＰＹ免疫反应阳性。ＳＰ和ＣＧＲＰ免疫反应物主要定位于大颗粒囊泡内。ＳＰ和ＣＧＲＰ免疫反应轴突与嗜铬细胞形成对称性或非对称性的轴体突轴。测量了这４种肽能神经末梢的直径,从而推测其来源,并讨论了该４种神经肽对人肾上腺的作用。     

Restriction-map variation at the zeste-tko region in natural populations of Drosophila melanogaster

Restriction-map variation in 64 X chromosome lines extracted from three different natural populations of Drosophila melanogaster was investigated with seven six-nucleotide-recognizing enzymes for a 20-kb region including the zeste and tko genes. Ten restriction-site and four length polymorphisms (two insertions and two deletions) were detected. Contrary to the predicted lower level of variation for genes on the X chromosome, the level of variation attributable to nucleotide substitution (estimated heterozygosity/nucleotide = 0.004) was similar to that previously reported for autosomal loci. The amount of insertion/deletion variation in the studied region was within the range observed in autosomal regions and thus not explainable by a simple selection model against the effects of insertional mutations. A general lack of linkage disequilibrium between polymorphic sites was observed.      

PCR-based method for targeting 16S-23S rRNA intergenic spacer regions among Vibrio species

Background

Mosquito-borne dengue virus (DENV, genus Flavivirus) has emerged as a major threat to global human health in recent decades, and novel strategies to contain the escalating dengue fever pandemic are urgently needed. RNA interference (RNAi) induced by exogenous small interfering RNAs (siRNAs) has shown promise for treatment of flavivirus infections in hosts and prevention of transmission by vectors. However, the impact of RNAi triggered by authentic virus infection on replication of DENV, or any flavivirus, has received little study. The objectives of the current study were threefold: first, to assess the utility of Drosophila melanogaster S2 cells for the study of DENV, second to investigate the impact of multiple enzymes in the RNAi pathway on DENV replication; and third to test for variation in the response of the four serotypes of DENV to modulation of RNAi.

Results

Three strains from each of the four DENV serotypes showed replication in S2 cells following infection at multiplicity of infection (MOI) 0.1 and MOI 10; each strain achieved titers > 4.0 log₁₀pfu/ml five days after infection at MOI 10. The four serotypes did not differ in mean titer. S2 cells infected with DENV-1, 2, 3 or 4 produced siRNAs, indicating that infection triggered an RNAi response. Knockdown of one of the major enzymes in the RNAi pathway, Dicer-2 (Dcr-2), resulted in a 10 to 100-fold enhancement of replication of all twelve strains of DENV in S2 cells. While serotypes did not differ in their average response to Dcr-2 knockdown, strains within serotypes showed significant differences in their sensitivity to Dcr-2 knockdown. Moreover, knockdown of three additional components of the RNAi pathway, Argonaute 2 (Ago-2), Dcr-1 and Ago-1, also resulted in a significant increase in replication of the two DENV strains tested, and the magnitude of this increase was similar to that resulting from Dcr-2 knockdown.

Conclusions

These findings indicate that DENV can replicate in Drosophila S2 cells and that the RNAi pathway plays a role in modulating DENV replication in these cells. S2 cells offer a useful cell culture model for evaluation of the interaction between DENV and the RNAi response.     

A diabetic retinopathy detection method using an improved pillar K-means algorithm

The paper presents a new approach for medical image segmentation. Exudates are a visible sign of diabetic retinopathy that is the major reason of vision loss in patients with diabetes. If the exudates extend into the macular area, blindness may occur. Automated detection of exudates will assist ophthalmologists in early diagnosis. This segmentation process includes a new mechanism for clustering the elements of high-resolution images in order to improve precision and reduce computation time. The system applies K-means clustering to the image segmentation after getting optimized by Pillar algorithm; pillars are constructed in such a way that they can withstand the pressure. Improved pillar algorithm can optimize the K-means clustering for image segmentation in aspects of precision and computation time. This evaluates the proposed approach for image segmentation by comparing with Kmeans and Fuzzy C-means in a medical image. Using this method, identification of dark spot in the retina becomes easier and the proposed algorithm is applied on diabetic retinal images of all stages to identify hard and soft exudates, where the existing pillar K-means is more appropriate for brain MRI images. This proposed system help the doctors to identify the problem in the early stage and can suggest a better drug for preventing further retinal damage.     

A note on the performance of Rappaport's medium, compared with Rappaport-Vassiliadis broth, in the isolation of salmonellas from meat products, after pre-enrichment

Salmonellas were isolated from meat products using a slightly modified Rappaport's enrichment medium (R25), Rappaport-Vassiliadis procedure (Rappaport's broth containing 10 ml instead of 30 ml of Malachite Green solution and incubated at 43^oC instead of 37^oC), and Muller-Kauffmann's tetrathionate broth. From 255 samples, 89 were found positive with the Rappaport-Vassiliadis procedure, 83 with the R25 broth, whereas only 43 were positive with Muller-Kauffmann broth. It is concluded that the R25 medium may be used as an alternative to the more effective Rappaport-Vassiliadis broth when the only available incubation temperature is 37^oC.