Mcgowanayala1076
5% agarose gel stained by ethidium bromide for
and
virus, respectively. Also, a dual-band at 148 and 167
was observed in multiplex PCR. Results of real-time PCR showed a limit of detection about 0.1
of plasmid/
.
In conclusion, the designed construct can be used as a positive control for an accurate diagnosis of these micro-organisms without any biological danger for laboratory staff. So, this method is useful for diagnosis of these agents in food, water, and blood samples.
In conclusion, the designed construct can be used as a positive control for an accurate diagnosis of these micro-organisms without any biological danger for laboratory staff. So, this method is useful for diagnosis of these agents in food, water, and blood samples.
Epitope prediction remains a major challenge in malaria due to the unique parasite biology, in addition to rapidly evolving parasite sequence variation in Plasmodium species. Although several models for epitope prediction exist, they are not useful in Plasmodium specific epitope development. Hence, it was proposed to use machine learning based methods to develop a peptide sequence based epitope predictor specific for malaria.
Model datasets were developed and performance was tested using various machine learning algorithms. Machine learning classifiers were trained on epitope data using sequence features and comparison of amino acid physicochemical properties was done to yield a valid prediction model.
The findings from the analysis reveal that the model developed using selected classifiers after preprocessing by Waikato Environment for Knowledge Analysis (WEKA) performed better than other methods. The datasets for benchmarks of performance are deposited in the repository https//github.com/githubramaadiga/epitope_dataset .
The study is the first in-silico study on benchmarking Plasmodium cytotoxic T cell epitope datasets using machine learning approach. The peptide based predictors have been used for the first time to classify cytotoxic T cell epitopes in malaria. Algorithms has been evaluated using real datasets from malaria to obtain the model.
The study is the first in-silico study on benchmarking Plasmodium cytotoxic T cell epitope datasets using machine learning approach. The peptide based predictors have been used for the first time to classify cytotoxic T cell epitopes in malaria. Algorithms has been evaluated using real datasets from malaria to obtain the model.
The aim of the present study was to investigate the effect of Sodium Selenite (SS) supplemented media on oocyte maturation, expression of mitochondrial transcription factor A (TFAM) and embryo quality.
Mouse Germinal Vesicle (GV) oocytes were collected after administration of Pregnant Mare Serum Gonadotropin (PMSG); in experimental group 1, oocytes were cultured and then subjected for
maturation in the absence of SS, and in experimental group 2, they were matured
in the presence of 10
of SS up to 16
. The control group included MII oocytes obtained from the fallopian tubes after ovarian stimulation with PMSG, followed by human chorionic gonadotropin. Then, the expression of
in MII oocytes in all three groups was investigated using real-time RT-PCR. The fertilization and embryo developmental rates were assessed, and finally the quality of the blastocysts was evaluated using propidium iodide staining.
The oocyte maturation rate to MII stage in SS treated group was significantly higher than non-treated oocytes (75.65
. 68.17%, p<0.05). Also, the rates of fertilization, embryo development to blastocyst stage as well as the cell number of blastocyst in SS supplemented group were higher than other experimental group (p<0.05). There was a significant decrease in
gene expression in both
groups compared to the group with
obtained oocytes (p<0.05). Hesperadin cost Moreover, there was a significant increase in
gene expression in oocytes that matured in the presence of SS compared to that of the group without SS (p<0.05).
Supplementation of oocyte maturation culture media with SS improved the development rate of oocytes and embryo and also enhanced
expression in MII oocytes which can affect the mitochondrial biogenesis of oocytes.
Supplementation of oocyte maturation culture media with SS improved the development rate of oocytes and embryo and also enhanced TFAM expression in MII oocytes which can affect the mitochondrial biogenesis of oocytes.
This study investigated the potential effects of Titanium dioxide nanoparticles (Tio2NPs) followed by maternal gavage on fetal development and neural tube formation during pregnancy in mice.
Thirty pregnant mice were randomly divided into five main study groups including the untreated control and 4 experimental groups (n=6 per group). The control group was treated with normal saline and the experimental groups were orally treated with doses of 30, 150, 300, and 500
Body Weight (BW) of Tio2NPs during pregnancy. On gestational day 16 and 19 (n=3 per group), pregnant mice were euthanized and then examined for neural tube defects and compared with control. Serial transverse sections were prepared in both cranial region and in lumbar region of spinal cord.
Treatment with Tio2NPs resulted in low fetal weight and short length, dilation of lateral ventricle, thinning of cerebral cortex and spinal cord, spina bifida occulta and an increase in the number of apoptotic neurons in exposed embryos at doses of 300 and 500
(p<0.05).
It seems that exposure to nanoparticles of Tio2 during pregnancy induces growth retardation and for the first time, teratogenicity of this nanomaterial in neural tube development and induction of defects such as spinal bifida, reduction in cortical thickness and dilatation of lateral ventricles were verified which can be related to incidence of apoptosis in central nervous system.
It seems that exposure to nanoparticles of Tio2 during pregnancy induces growth retardation and for the first time, teratogenicity of this nanomaterial in neural tube development and induction of defects such as spinal bifida, reduction in cortical thickness and dilatation of lateral ventricles were verified which can be related to incidence of apoptosis in central nervous system.