RedeR: R/Bioconductor package for representing modular structures, nested networks and multiple levels of hierarchical associations

Visualization and analysis of molecular networks are both central to systems biology. However, there still exists a large technological gap between them, especially when assessing multiple network levels or hierarchies. Here we present RedeR, an R/Bioconductor package combined with a Java core engine for representing modular networks. The functionality of RedeR is demonstrated in two different scenarios: hierarchical and modular organization in gene co-expression networks and nested structures in time-course gene expression subnetworks. Our results demonstrate RedeR as a new framework to deal with the multiple network levels that are inherent to complex biological systems. RedeR is available from http://bioconductor.org/packages/release/bioc/html/RedeR.html.     

Effects of cyanobacterial extracellular products and gibberellic acid on salinity tolerance in Oryza sativa L

The XI International Rotifer Symposium was held during 11–18 March, 2006 at the National Autonomous University of Mexico Campus Iztacala located at the North Mexico City (Mexico). These triennial international meetings, first organized in Austria by Late Ruttner-Kolisko in September 1976, are gradually becoming the focal point of discussion and collaboration from rotifer workers across the world. The present XI symposium was attended by 125 participants from 20 nations. During this meeting, different themes of rotifer research from morphology to molecular biology were considered. In addition, there were four invited lectures and four workshops covering different themes of the symposium. During the last 30 years, rotifer research has witnessed gradual shift from the conventional morphological taxonomy to molecular and evolutionary systematics. While the basic rotifer ecological studies continue today, applied areas such as ecotoxicology and aquaculture have taken key roles in the recent meetings. The international rotifer meetings provide ample opportunities not only for exchange of ideas and recent research, but also for material and in establishing inter-personal relationships. Over the last 30 years, the number of participants attending the rotifer meetings has increased.     

Population parameters and exploitation rate of Sarotherodon galilaeus galilaeus (Cichlidae) in Lakes Doukon and Togbadji,Benin

Growth, mortality, recruitment and relative yield per recruit of Sarotherodon galilaeus galilaeus from Lakes Doukon and Togbadji were studied. Data on total length, total weight and sex were recorded on a monthly basis between January and December 2013 for S. g. galilaeus captured by local fishers. The estimated asymptotic lengths L_∞ were 26.2 and 23.6?cm for Lakes Doukon and Togbadji, respectively, while the growth rate K was 0.73 in Lake Doukon and 0.87 in Lake Togbadji. Estimates of fishing mortality, 0.27 and 0.47 y^?1 for Doukon and Togbadji, respectively, were low relative to natural mortality, 1.51 and 1.74 y^?1, respectively. Sizes at first sexual maturity were 12.8 and 13.2?cm for females and males, respectively, in Lake Doukon, and 11.5 and 12.4?cm for females and males, respectively, in Lake Togbadji. The size at first capture was estimated at 13.3 and 12.7?cm for Lakes Doukon and Togbadji, respectively, which, in the light of the size at maturity estimates, indicates that fish spawn at least once before capture. The current exploitation rates of 0.15 for Lake Doukon and 0.21 for Lake Togbadji suggest that their stocks of S. g. galilaeus are not overexploited in either lake.     

Situation of mycotoxins in milk, dairy products and human milk in Egypt

Abstact  Milk and dairy products purchased at Egyptian markets and breast milk from lactating mothers in Cairo and Giza governorates were analyzed for some mycotoxins. Three of 15 cows’ milk samples were found positive for Afl. M₁ with mean value 6.3 ppb. Only one sample of dried milk was positive (5 ppb). Two of 10 hard cheese samples contained detectable levels of Afl. M₁ (3and 6 ppb), whereas one sample containing Afl. B₁ and G₁ (10 and 4 ppb resp.). For soft cheese one sample of 10 was positive for Afl. M₁ (0.5 ppb). Blue veined cheeses were free of Afl. M₁ and PR-toxins. For breast milk two of 10 samples were positive for Afl. M₁ (20%) with mean value 2.75 ppb, while 3 of 10 samples were positive for Ochratoxin A (30 %).     

Punarnavine,an alkaloid from Boerhaavia diffusa exhibits anti-angiogenic activity via downregulation of VEGF in vitro and in vivo

Punarnavine, a quinolizidine alkaloid isolated from Boerhaavia diffusa is known to possess analgesic, anti-inflammatory, hepato-protective, immunomodulatory and anti-proliferative properties. However, its roles in tumor angiogenesis and the involved molecular mechanism are still unknown. Therefore, we examined its anti-angiogenic effects and mechanisms in vitro and in vivo. We examined the effect of punarnavine on VEGF-A expression by RT-PCR, Western blotting and ELISA. In vivo antiangiogenic activity was determined using sponge implant angiogenesis assay and antitumor activity was evaluated against Ehrlich ascites carcinoma tumor. Punarnavine significantly inhibited endothelial cell migration and invasion and capillary structure formation of HUVECs. Punarnavine significantly at 50 μM inhibited MMP-2 and MMP-9 expression in HUVECs in vitro. Punarnavine inhibited neovascularization in sponge implant assay. Punarnavine (15 mg/kg bw/d) treatment showed dose-dependent decrease in the ascitic fluid volume by 60.94% and tumor volume by 86.40% in Ehrlich ascites model. Reduction in peritoneal angiogenesis with punarnavine treatment suggests the anti-angiogenic activity of punarnavine. The present study sheds light on the potent anti-angiogenic of the punarnavine and can be extended further to develop therapeutic protocols for treatment of cancer.     

土壤中棉花黄萎病菌SYBR Green Ⅰ荧光RT-PCR定量检测技术研究

为实现田间土壤棉花黄萎病菌的早期检测,建立了土壤中棉花黄萎病菌的SYBR GreenⅠ荧光定量PCR检测方法.以含342bp PCR扩增产物的阳性质粒为参考,构建了标准曲线,并对该曲线的特异性、敏感性、可重复性进行了评价.结果表明,该方法具有快速、特异性强、敏感度高等特点.检测范围在3.8×103-3.8×108cop...     

Prevalence of human papillomavirus infection,distribution of viral types and risk factors in cervical samples from human immunodeficiency virus-positive women attending three human immunodeficiency virus-acquired immune deficiency syndrome reference centres in northeastern Brazil

Human immunodeficiency virus (HIV)-positive patients have a greater prevalence ofcoinfection with human papillomavirus (HPV) is of high oncogenic risk. Indeed, thepresence of the virus favours intraepithelial squamous cell lesion progression andmay induce cancer. The aim of this study was to evaluate the prevalence of HPVinfection, distribution of HPV types and risk factors among HIV-positive patients.Cervical samples from 450 HIV-positive patients were analysed with regard to oncoticcytology, colposcopy and HPV presence and type by means of polymerase chain reactionand sequencing. The results were analysed by comparing demographic data and datarelating to HPV and HIV infection. The prevalence of HPV was 47.5%. Among theHPV-positive samples, 59% included viral types of high oncogenic risk. Multivariateanalysis showed an association between HPV infection and the presence of cytologicalalterations (p = 0.003), age greater than or equal to 35 years (p = 0.002), number ofpartners greater than three (p = 0.002), CD4⁺ lymphocyte count <200/mm³ (p = 0.041) and alcohol abuse (p = 0.004). Although high-riskHPV was present in the majority of the lesions studied, the low frequency of HPV 16(3.3%), low occurrence of cervical lesions and preserved immunological state in mostof the HIV-positive patients were factors that may explain the low occurrence ofprecancerous cervical lesions in this population.     

Improving the analysis of designed studies by combining statistical modelling with study design information

Background  

In the fields of life sciences, so-called designed studies are used for studying complex biological systems. The data derived from these studies comply with a study design aimed at generating relevant information while diminishing unwanted variation (noise). Knowledge about the study design can be used to decompose the total data into data blocks that are associated with specific effects. Subsequent statistical analysis can be improved by this decomposition if these are applied on selected combinations of effects.