Fertilizing ability of DNA-damaged spermatozoa.

In order to investigate the fertilizing ability of DNA-damaged sperm, they were exposed to gamma radiation prior to insemination. The presence of DNA-strand breaks were detected by the TUNEL test. Fertilization rates of 64.3, 59.9, 58.5, and 61.1% were achieved when sperm were subjected to 5, 10, 50, and 100 GY, respectively. This rate was 53.2% in the control group with no significant difference (P > 0.01). The blastocyst development was decreased from 49.8% in the control group to 20.3, 7.8, 3.4, and 2.3% with sperm exposed to doses of 5, 10, 50, and 100 GY, respectively. Of the transferred blastocyst in the control group, 69.8% were implanted and 33.9% developed into live fetuses. These rates were 57.1 and 21. 4%, 20 and 0% when sperm were exposed to doses of 5 and 10 GY with a significant difference (P < 0.01). The present study clearly shows that DNA-damaged sperm (regardless of degree of damage) have the ability to fertilize the oocyte, but that embryonic development is very much related to the degree of DNA damage. However, the oocyte has the capacity to repair DNA damage of sperm when it is damaged less than 8%. Damage beyond this level will result in low rate of embryonic development and high early pregnancy loss. J. Exp. Zool. 284:696-704, 1999.     

Effects of abscisic acid (ABA) on grain filling processes in wheat

The effect of in situ water stress on the endogenous abscisic acid (ABA) content of the endosperm and the in vitro application of ABA on some important yield regulating processes in wheat have been studied. Water stress resulted in a marked increase in the ABA content of the endosperm at the time close to cessation of growth. Application of ABA to the culture medium of detached ears reduced grain weight. Exogenously applied ABA, at the highest concentration (0.1 mM) reduced transport of sucrose into the grains and lowered the starch synthesis ability of intact grains. In vitro sucrose uptake and conversion by isolated grains was stimulated by low ABA concentrations (0.001 mM) in the medium but was inhibited by higher concentrations. ABA application had no effect on sucrose synthase (SS) and uridine diphosphate glucose pyrophosphorylase (UDP-Gppase) activities, whereas adenosine diphosphate glucose pyrophosphorylase (ADP-Gppase), soluble starch synthase (SSS), and granule-bound starch synthase (GBSS) activities were reduced. These results raise the possibility that water stress-induced elevated levels of endogenous ABA contribute to reduced grain growth.     

Thymol has anticancer effects in U-87 human malignant glioblastoma cells

Molecular Biology Reports - Thymol (2-isopropyl-5-methylphenol) is a colorless crystalline derivative of cymene, that possesses pleotropic pharmacological properties, including analgesic,...     

Transforming growth factor-β signaling: Tumorigenesis and targeting for cancer therapy

Transforming growth factor (TGF)-β is a multitasking cytokine such that its aberrant expression is related to cancer progression and metastasis. TGF-β is produced by a variety of cells within the tumor microenvironment (TME), and it is responsible for regulation of the activity of cells within this milieu. TGF-β is a main inducer of epithelial–mesenchymal transition (EMT), immune evasion, and metastasis during cancer progression. TGF-β exerts most of its functions by acting on TβRI and TβRII receptors in canonical (Smad-dependent) or noncanonical (Smad-independent) pathways. Members of mitogen-activated protein kinase, phosphatidylinositol 3-kinase/protein kinase B, and nuclear factor κβ are involved in the non-Smad TGF-β pathway. TGF-β acts by complex signaling, and deletion in one of the effectors in this pathway may influence the outcome in a diverse way by taking even an antitumor role. The stage and the type of tumor (contextual cues from cancer cells and/or the TME) and the concentration of TGF-β are other important factors determining the fate of cancer (progression or repression). There are a number of ways for targeting TGF-β signaling in cancer, among them the special focus is on TβRII suppression.     

Effects of ascorbic acid,alpha-tocopherol,and glutathione on microspore embryogenesis in Brassica napus L.

The impact of culture conditions and addition of antioxidants to media on microspore embryogenesis in rapeseed (Brassica napus cv. ‘PF704’) was investigated. Different concentrations of ascorbic acid (0, 5, 10, 20, 50, 100, and 200 mg l^?1) and alpha (α)-tocopherol (0, 5, 10, 20, 50, 100, and 200 mg l^?1) were evaluated along with two temperature pretreatments (18 d at 30°C; 2 d at 32.5°C followed by 16 d at 30°C). In addition, combinations of reduced glutathione (0, 10, 50, and 100 mg l^?1) and ascorbic acid (5 and 10 mg l^?1) were tested. Microspore embryogenesis was significantly enhanced using 10 mg l^?1 ascorbic acid (334 embryos per Petri dish) compared with untreated cultures (184 embryos per Petri dish) at 30°C. α-Tocopherol (5 and 10 mg l^?1) enhanced (312 and 314 embryos per Petri dish, respectively) microspore embryogenesis relative to untreated cultures (213 embryos per Petri dish) at 30°C, although there were no significant differences among cultures treated with 5–50 mg l^?1 α-tocopherol. When 50 mg l^?1 α-tocopherol was combined with 5 or 10 mg l^?1 ascorbic acid, embryogenesis was significantly enhanced (308 and 328 embryos per Petri dish, respectively) relative to other ascorbic acid levels. Moreover, 10 mg l^?1 of reduced glutathione and 5 mg l^?l ascorbic acid enhanced microspore embryogenesis (335 embryos per Petri dish) compared to cultures without reduced glutathione (275 embryos per Petri dish). Microspore embryogenesis could be improved by adding ascorbic acid, α-tocopherol, and reduced glutathione when the appropriate combination and temperature pretreatment were selected.     

Spatial Heterogeneity in Human Activities Favors the Persistence of Wolves in Agroecosystems

As human populations expand, there is increasing demand and pressure for land. Under this scenario, behavioural flexibility and adaptation become important processes leading to the persistence of large carnivores in human-dominated landscapes such as agroecosystems. A growing interest has recently emerged on the outcome of the coexistence between wolves and humans in these systems. It has been suggested that spatial heterogeneity in human activities would be a major environmental factor modulating vulnerability and persistence of this contentious species in agroecosystems. Here, we combined information from 35 den sites detected between 2011 and 2012 in agroecosystems of western Iran (Hamedan province), a set of environmental variables measured at landscape and fine spatial scales, and generalized linear models to identify patterns of den site selection by wolves in a highly-modified agroecosystem. On a landscape level, wolves selected a mixture of rangelands with scattered dry-farms on hillsides (showing a low human use) to locate their dens, avoiding areas with high densities of settlements and primary roads. On a fine spatial scale, wolves primarily excavated dens into the sides of elevated steep-slope hills with availability of water bodies in the vicinity of den sites, and wolves were relegated to dig in places with coarse-soil particles. Our results suggest that vulnerability of wolves in human-dominated landscapes could be compensated by the existence of spatial heterogeneity in human activities. Such heterogeneity would favor wolf persistence in agroecosystems favoring a land sharing model of coexistence between wolves and people.     

Investigating the Parameters Affecting the Stability of Superparamagnetic Iron Oxide-Loaded Nanoemulsion Using Artificial Neural Networks

Nanoemulsions are increasingly being investigated for their fascinating capability of loading both hydrophobic and hydrophilic molecules while their stability is still an issue, being affected by various factors. In this study, to evaluate the dominant factors affecting the stability of nanoemulsions, artificial neural networks (ANNs) were implemented. Nanoemulsions of almond oil in water containing oleic acid-coated superparamagnetic iron oxide nanoparticles were prepared using a mixture of Tween 80 and Span 80 as surfactant system and ethanol as a co-surfactant. The ratio of transparency of the samples at 30 min and 7 days after preparation was taken as an indication of the stability of samples. Four independent variables, namely, concentration of nanoparticle, surfactant, oil, and alcohol were investigated to find their relations with the dependent variable (i.e., transparency ratio). Using ANNs modeling, it was concluded that the stability is affected by all variables, with all variables showing reverse effect on the stability beyond an optimum amount.Key words: artificial neural networks, nanoemulsion, optimization, stability, superparamagnetic iron oxide     

Hobbes: optimized gram-based methods for efficient read alignment

Recent advances in sequencing technology have enabled the rapid generation of billions of bases at relatively low cost. A crucial first step in many sequencing applications is to map those reads to a reference genome. However, when the reference genome is large, finding accurate mappings poses a significant computational challenge due to the sheer amount of reads, and because many reads map to the reference sequence approximately but not exactly. We introduce Hobbes, a new gram-based program for aligning short reads, supporting Hamming and edit distance. Hobbes implements two novel techniques, which yield substantial performance improvements: an optimized gram-selection procedure for reads, and a cache-efficient filter for pruning candidate mappings. We systematically tested the performance of Hobbes on both real and simulated data with read lengths varying from 35 to 100 bp, and compared its performance with several state-of-the-art read-mapping programs, including Bowtie, BWA, mrsFast and RazerS. Hobbes is faster than all other read mapping programs we have tested while maintaining high mapping quality. Hobbes is about five times faster than Bowtie and about 2–10 times faster than BWA, depending on read length and error rate, when asked to find all mapping locations of a read in the human genome within a given Hamming or edit distance, respectively. Hobbes supports the SAM output format and is publicly available at http://hobbes.ics.uci.edu.