The identification of <Emphasis Type="Italic">Cryptosporidium</Emphasis> species in Isfahan,Iran by PCR-RFLP analysis of the 18S rRNA gene

Cryptosporidium is an important protozoan that causes diarrheal illness in humans and animals. Different species of Cryptosporidium have been reported and it is believed that species characteristics are an important factor to be considered in strategic planning for control. We therefore analyzed oocysts from human and animal isolates of Cryptosporidium by PCR-RFLP to determine strain variation in Isfahan. In total, 642 human fecal samples from children under five years of age, imunocompromised patients, and high-risk persons and 480 randomly selected rectal specimens of cows and calves in Isfahan were examined. Microscopic examination showed that 4.7% (30/642) of human samples and 6.2% (30/480) of animal samples were infected with Cryptosporidium. After identification of the samples infected with the parasite, oocysts were purified and their DNA was extracted. We used PCR-RFLP analysis of a 1750-bp region of the 18S rRNA gene to identify Cryptosporidium species. The human samples were infected with Cryptosporidium parvum II, C. muris, C. wrairi, and a new genotype of Cryptosporidium (GenBank accession no. DQ520951). The cattle samples were identified as C. parvum II, C. muris, C. wrairi, C. serpentis, C. baileyi, and a new genotype of Cryptosporidium (GenBank accession no. DQ520952). We also found a new genotype infecting both human and cattle samples (GenBank accession no. DQ520950). In addition to demonstrating the widespread occurrence of most species of Cryptosporidium, C. parvum, we also observed extensive polymorphism within species. Furthermore, the occurrence of the same species of parasite in both animal and human samples shows the importance of the animal and human cycle. Published in Russian in Molekulyarnaya Biologiya, 2007, Vol. 41, No. 5, pp. 934–939. The article was translated by the authors.     

New synergistic co-culture of Corylus avellana cells and Epicoccum nigrum for paclitaxel production

Journal of Industrial Microbiology & Biotechnology - Paclitaxel is a main impressive chemotherapeutic agent with unique mode of action and broad-spectrum activity against cancers. Hazel...     

Preserving Insulin Secretion in Diabetes by Inhibiting VDAC1 Overexpression and Surface Translocation in β Cells

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In Silico Analysis of Synaptonemal Complex Protein 1 (SYCP1) and Acrosin Binding Protein (ACRBP) Antigens to Design Novel Multiepitope Peptide Cancer Vaccine Against Breast Cancer

Multiepitope cancer vaccines are manifesting as the future of breast cancer immunotherapy. In the present study, high immunogenic fragments of synaptonemal complex protein 1 (SYCP1) and acrosin binding protein (ACRBP) antigens were selected according to MHCs binding affinity and CD8⁺ cytotoxic T lymphocytes’ (CTL) epitopes by various immunoinformatic servers. (RCQHKIAEMVALMEKHKHQYDKI) residue from p702–724 SYCP1 and the (YIQYPNYCSFKSQQCL) residue from p481–496 ACRBP were selected as the immunodominant fragments. Then, the selected fragments were fused together with a furin-sensitive linker to form the final peptide vaccine construct. The cleavage sites, TAP transport efficiency, CTL epitopes, post-translational modifications, and B cells epitopes were predicted for the final construct. The final construct contained appropriate CTLs epitopes and also, several linear and conformational B cell epitopes. Also, it exhibited 90.37% HLA population coverage in the world. Therefore, these preliminary results require validation by in vitro and in vivo experiments.

     

Determining constitutive behavior of the brain tissue using digital image correlation and finite element modeling

Biomechanics and Modeling in Mechanobiology - Detailed knowledge about the mechanical properties of brain can improve numerical modeling of the brain under various loading conditions. The success...     

Narcotic alkaloids of four papaver species from Iran

Four native Papaver species of Iran, i. e. P. glaucum, P. tenuifolium, P. dubium and P. fugax, were collected from their natural habitat and subjected to HPLC analysis for determination of their morphine, codeine and thebaine content. P. dubium and R. glaucum contained all of the three mentioned narcotic alkaloids, while morphine was not found in P. fugax, and P. tenuifolium was free from codeine.     

CHOPER Filters Enable Rare Mutation Detection in Complex Mutagenesis Populations by Next-Generation Sequencing

Next-generation sequencing (NGS) has revolutionized genetics and enabled the accurate identification of many genetic variants across many genomes. However, detection of biologically important low-frequency variants within genetically heterogeneous populations remains challenging, because they are difficult to distinguish from intrinsic NGS sequencing error rates. Approaches to overcome these limitations are essential to detect rare mutations in large cohorts, virus or microbial populations, mitochondria heteroplasmy, and other heterogeneous mixtures such as tumors. Modifications in library preparation can overcome some of these limitations, but are experimentally challenging and restricted to skilled biologists. This paper describes a novel quality filtering and base pruning pipeline, called Complex Heterogeneous Overlapped Paired-End Reads (CHOPER), designed to detect sequence variants in a complex population with high sequence similarity derived from All-Codon-Scanning (ACS) mutagenesis. A novel fast alignment algorithm, designed for the specified application, has O(n) time complexity. CHOPER was applied to a p53 cancer mutant reactivation study derived from ACS mutagenesis. Relative to error filtering based on Phred quality scores, CHOPER improved accuracy by about 13% while discarding only half as many bases. These results are a step toward extending the power of NGS to the analysis of genetically heterogeneous populations.     

Investigation of sensitivity,specificity and accuracy of Tetra primer ARMS PCR method in comparison with conventional ARMS PCR,based on sequencing technique outcomes in IVS-II-I genotyping of beta thalassemia patients

Purpose

Beta thalassemia is one of the most important hematic diseases all around the world and solving the problems caused by this abnormality is strongly dependent on precise detection and reliable screening of high-risk couples. The aim of our study was the investigation of sensitivity, specificity and accuracy of Tetra primer ARMS PCR method comparing with conventional ARMS PCR, based on sequencing technique outcomes for genotyping of IVS-II-I mutation in beta thalassemia patients.

Methods

Fifty seven samples including two homozygote, 49 heterozygote and 6 normal specimens were analyzed by Tetra primer ARMS PCR and conventional ARMS PCR methods. DNA was extracted by the standard method of salting out for leukocyte genomic DNA extraction of blood specimens and a high pure PCR template preparation kit was used for DNA purification of CVS samples. The results obtained by Tetra primer ARMS PCR and conventional ARMS PCR methods were compared with gold standard technique, i.e. sequencing.

Results

All three parameters including specificity, sensitivity and accuracy were 100% for Tetra primer ARMS PCR method, while they were 100%, 92.45% and 92.7% for conventional ARMS PCR technique respectively. Comparing with Tetra primer ARMS PCR which represented 100% agreement with sequencing method, conventional ARMS PCR technique only showed 47.1% agreement, because of 4 discordant results.

Conclusion

Tetra primer ARMS PCR method is an almost reliable, sensitive and accurate technique and it is suggested that it can be used as a complementary method for diagnostic cases instead of conventional ARMS PCR method. This suggestion originated with perfect rate of agreement between outcomes of sequencing method, as a gold standard method of detecting the mutations, and Tetra primer ARMS PCR technique comparing with conventional ARMS PCR method.     

Monitoring growth and lipid production of new isolated oleaginous yeast Cryptococcus aerius UIMC65 on glucose and xylose cultures

Process monitoring is one of the most important factors affecting production efficiency at industrial scale bioprocesses. In the present work, Flow-cytometric analysis has been employed to monitor and determine neutral lipid cell droplets, granularity and size of the cells of the new oleaginous yeast, Cryptococcus aerius UIMC65. It has been shown that, differences of fluorescent intensity as well as side and forward scatter light properties have close correlations with the differences in lipid production by these yeast cells. The lipid content-related fluorescent intensity versus forward scatter parameter has been used to monitor and compare different subpopulations during growth phases on both glucose and xylose in batch cultures. Flow cytometric results have revealed that the observed differences in the proportion of each subpopulation were related to the specific growth phase and lipid content of the cells. The highest lipid content and lipid productivity were attained at 82.62%, 4.47 g/L (at 72 h) and 78.41%, 6.21 g/L (at 60 h) on glucose and xylose growth cultures, respectively. The highest biomass, lipid yield and biomass yield were found to be 7.92 g/L (on glucose culture, at 60 h), 20.92% (on glucose culture, at 48 h) and 50.71% (on glucose culture, at 24 h), respectively.