Autonomic task scheduling algorithm for dynamic workloads through a load balancing technique for the cloud-computing environment

Cluster Computing - Applying the load balancing technique to allocate requests that dynamically enter the cloud environment is contributive in maintaining the system stability, reducing the...     

Mutation analysis of androgen receptor gene: Multiple uses for a single test

Androgen receptor gene mutations are one of the leading causes of disorders of sex development (DSD) exhibited by sexual ambiguity or sex reversal. In this study, 2 families with patients whom diagnosed clinically as androgen insensitivity syndrome (AIS) were physically and genetically examined. This evaluation carried out by cytogenetic and molecular analysis including karyotype and sequencing of SRY and AR genes. In family 1, two brothers and their mother were hemizygous and heterozygous respectively for c.2522G > A variant, while one of their healthy brother was a completely normal hemizygote. Family 2 assessment demonstrated the c.639G > A (rs6152) mutation in two siblings who were reared as girls. The SRY gene was intact in all of the study's participants.     

Downregulation of Stemness Genes and Induction of Necrosis in Rat LA7 Cancer Stem Cells Induced Tumors Treated with Starved Fibroblasts Culture Supernatant

Background:Stem cell differentiation therapy is a promising strategy in cancer treatment. we show that protein cocktail prepared from serum starved fibroblasts has therapeutic potential based on this strategy. Methods:The condition medium was prepared from foreskin isolated fibroblasts and analyzed by Liquid chromatography electrospray ionization mass spectrometry-mass spectrometry (LC-ESI-MS/MS). LA7 mammary gland cancer stem cells originated tumors were induced in Sprague Dawley rats. The rats treated subcutaneously with DMEM (group A), condition medium (group B), or normal saline (group C) once daily for 7 days. Then the tumors were removed and divided into the two parts, one part was used to quantify gene expression by stem-loop RT-qPCR assay and the other part was used for Hematoxylin & Eosin (H & E), Giemsa, and immunohistochemistry (IHC) staining.Results:All induced tumors appeared as sarcomatoid carcinoma (SC). Immunohistochemistry staining confirmed this conclusion by recognizing the tumor as Ki67⁺, cytokeratin⁺, vimentine⁺, and estrogen receptor negative SC. RT-qPCR analysis revealed that Oct4-, Sox-2, Nanog- gene expression was much reduced in the condition medium treated tumors versus proper controls (p< 0.05). Tissue necrosis was more prevalent in this group while tumors volume was diminished almost by 40%. The LC-ESI-MS/MS analysis unrevealed the stemness reducing and the cell death inducing proteins such as, pigment epithelium-derived factor (PEDF), insulin like growth factor binding protein-5 (IGFBP-5) and -7 (IGFBP-7) in the condition medium.Conclusion:This study showed that the substances released from starved human fibroblasts were able to down-regulate the stemness-related genes and induce necrosis in LA7 derived tumors.Key Words: Breast cancer, Cancer Stem cells, Cell differentiation, Fibroblasts, Gene expression     

Distribution of Cereal Luteoviruses and Molecular Diversity of BYDV‐PAV Isolates in Central and Southern Iran: Proposal of a New Species in the Genus Luteovirus

During a survey , 148 wheat, 70 barley and 24 wild grass samples of plants showing symptoms of yellowing or reddening of leaves and general stunting were collected in central and southern provinces of Iran and tested for Barley yellow dwarf virus (BYDV) and Cereal yellow dwarf virus (CYDV) infection by enzyme‐linked immunosorbent assay (ELISA) and tissue print immunoassay (TPIA). The results showed the presence of the viruses in most regions. Positive reactions to BYDV‐PAV, BYDV‐MAV, CYDV‐RPV and BYDV‐SGV antisera were recorded. BYDV‐PAV was the most prevalent virus. The genetic diversity of BYDV‐PAV isolates in central and southern provinces was studied by analysing ORF1 (903 nt) and read through domain (RTD) (575 nt) of 13 and nine isolates respectively. Sequence analysis of RTD at nucleotide and amino acid levels revealed a high identity (91.8–97.2% and 91.4–100% respectively) between Iranian and other available isolates in the GenBank. However, in regards to ORF1, a high genetic diversity among Iranian and other known PAV isolates at both amino acid (2–16.9%) and nucleotide (4.1–16.5%) levels were detected. Based on phylogenetic analysis of ORF1, two major groups of BYDV‐PAV isolates were distinguished. The Iranian isolates were divided between the two clusters. Our results suggest that the occurrence of two genetically distinct groups of PAV isolates in central and southern Iran, from which according to the ICTV criteria for species demarcation in the family Luteoviridae, four isolates from central parts of the country, qualify for designation as new species.     

Evaluation of Insulin and Ascorbic Acid Effects on Expression of Bcl-2 Family Proteins and Caspase-3 Activity in Hippocampus of STZ-Induced Diabetic Rats

Aims Effects of insulin and ascorbic acid on expression of Bcl-2 family proteins and caspase-3 activity in hippocampus of diabetic rats were evaluated in this study. Methods Diabetes was induced in Wistar male rats by streptozotocin (STZ). Six weeks after verification of diabetes, the animals were treated for 2 weeks with insulin or/and ascorbic acid in separate groups. Hippocampi of rats were removed and evaluation of Bcl-2, Bcl-x_L, and Bax proteins expression in frozen hippocampi tissues were done by SDS-PAGE electrophoresis and blotting. The Bcl-2, Bcl-x_L, and Bax proteins bands were visualized after incubation with specific antibodies using enhanced chemiluminescences method. Caspase-3 activity was determined using the caspase-3/CPP32 Fluorometric Assay Kit. Results Diabetic rats showed increase in Bax protein expression and decrease in Bcl-2 and Bcl-x_L proteins expression. The Bax/Bcl-2 and Bax/Bcl-x_L ratios were found higher compared with non-diabetic control group. Treatments with insulin and/or ascorbic acid were resulted in decrease in Bax protein expression and increase in Bcl-2 and Bcl-x_L proteins expression. The Bcl-2/Bax and Bcl-x_L/Bax ratios were found higher in treated groups than untreated diabetic group. Caspase-3 activity level was found higher in diabetic group compared with non-diabetic group. Treatment with insulin and ascorbic acid did downregulated caspase-3 activity. Conclusions Our data provide supportive evidence to demonstrate the antiapoptotic effects of insulin and ascorbic acid on hippocampus of STZ-induced diabetic rats.     

Overcoming trastuzumab resistance in HER2-positive breast cancer using combination therapy

Human epidermal growth factor receptor 2 (HER2)-positive breast cancer (BC) comprises around 20–30% of all BC subtypes and is correlated with poor prognosis. For many years, trastuzumab, a monoclonal antibody, has been used to inhibit the HER2 activity. Though, the main resistance to trastuzumab has challenged the use of this drug in the management of HER2-positive BC. Therefore, the determination of resistance mechanisms and the incorporation of new agents may lead to the development of a better blockade of the HER family receptor signaling. During the last few years, some therapeutic drugs have been developed for treating patients with trastuzumab-resistant HER2-positive BC that have more effective influences in the management of this condition. In this regard, the present study aimed at reviewing the mechanisms of trastuzumab resistance and the innovative therapies that have been investigated in trastuzumab-resistant HER2-positive BC subjects.     

The Effect of Iron–Vitamin C Co-supplementation on Biomarkers of Oxidative Stress in Iron-Deficient Female Youth

There is no study that assessed the effect of co-supplementation of iron and vitamin C on biomarkers of oxidative stress in non-anemic iron-deficient females. We investigated the effects of iron vs. iron?+?vitamin C co-supplementation on biomarkers of oxidative stress in iron-deficient girls. In a double-blind randomized controlled clinical trial, performed among 60 non-anemic iron-deficient girls, participants were randomly assigned to receive either 50 mg/day elemental iron supplements or 50 mg/day elemental iron?+?500 mg/day ascorbic acid for 12 weeks. Fasting blood samples were taken at baseline, weeks 6 and 12 for assessment of biomarkers of oxidative stress. Compared with the baseline levels, both iron and iron?+?vitamin C supplementation resulted in a significant reduction in serum malondialdehyde (MDA) levels (P _time?<?0.001) and remarkable elevation in serum total antioxidant capacity (TAC; P _time?<?0.001) and vitamin C levels (P _time?=?0.001); however, comparing the two groups we failed to find an additional effect of iron?+?vitamin C supplementation to that of iron alone on serum TAC and MDA levels (P _group was not statistically significant). Iron?+?vitamin C supplementation influenced serum vitamin C levels much more than that by iron alone (P _group?<?0.01). We also found a significant interaction term between time and group about serum vitamin C levels while this interaction was not significant about serum TAC and MDA levels. In conclusion, we found that iron supplementation with/without vitamin C improve biomarkers of oxidative stress among non-anemic iron-deficient females and may strengthen the antioxidant defense system by decreasing reactive oxygen species. Co-supplementation of iron?+?vitamin C has no further effect on oxidative stress compared with iron alone.     

PROPER: Performance visualization for optimizing and comparing ranking classifiers in MATLAB

Background

One of the recent challenges of computational biology is development of new algorithms, tools and software to facilitate predictive modeling of big data generated by high-throughput technologies in biomedical research.

Results

To meet these demands we developed PROPER - a package for visual evaluation of ranking classifiers for biological big data mining studies in the MATLAB environment.

Conclusion

PROPER is an efficient tool for optimization and comparison of ranking classifiers, providing over 20 different two- and three-dimensional performance curves.