فهرست مقالات S. Yousefi


  • مقاله

    1 - Analysis of Growth Hormone Gene in Alpine and Saanen Goats Using PCR-SSCP Method
    Iranian Journal of Applied Animal Science , شماره 1 , سال 4 , زمستان 2014
    In this study the genetic polymorphism of growth hormone (GH) gene as a candidate gene in livestock was investigated. Blood samples were randomly collected from 34 Alpine and 42 Saanen goats. DNA was extracted from blood samples and a 365 bp region of exon 5 of the GH g چکیده کامل
    In this study the genetic polymorphism of growth hormone (GH) gene as a candidate gene in livestock was investigated. Blood samples were randomly collected from 34 Alpine and 42 Saanen goats. DNA was extracted from blood samples and a 365 bp region of exon 5 of the GH genewas amplified by polymerase chain reaction (PCR). PCR products were analyzed using single strand conformation polymorphism (SSCP) method on polyacrylamide gel. The results indicated that there are four (G1, G2, G3 and G4) conformational patterns with frequencies 0.38, 0.21, 0.23 and 0.18 for Alpine goat and 0.48, 0.21, 0.17 and 0.14 for Saanen goat, respectively. These results revealed that GH gene was polymorph in this studyand showed that PCR-SSCP is an appropriate tool for detecting polymorphism and evaluating genetic variability. پرونده مقاله

  • مقاله

    2 - B and T-Cell Epitope Prediction of the OMP25 Antigen for Developing <i>Brucella melitensis</i> Vaccines for Sheep
    Iranian Journal of Applied Animal Science , شماره 4 , سال 5 , تابستان 2015
    Brucellosis, produced by Brucella species, is a disease that causes severe economic losses for livestock farms worldwide Due to serious economic and medical consequences of this disease, many efforts have been made to prevent the infection through the use of recombinant چکیده کامل
    Brucellosis, produced by Brucella species, is a disease that causes severe economic losses for livestock farms worldwide Due to serious economic and medical consequences of this disease, many efforts have been made to prevent the infection through the use of recombinant vaccines based on Brucella outer membrane protein (OMP) antigens. In the present study, a wide range of on-line prediction software was used to predict B and T-cells epitopes, secondary and tertiary structure and antigenicity OMP25 antigens. The bioinformatics approach used in the present study was validated by comparing its results with four available experimental epitope predictions. Bioinformatics analysis identified B-cell epitopes locations at amino acid (AA) residues 26-44, 59-79, 88-112, 146-166 and 175-202l and T-cell epitopes at AA residues 1-10, 14-22, 122-132, 154-162 and 206-213. All final B and T-cell predicted epitopes, except 1-10 and 14-22 residuals, showed antigenicity ability. Finally, a common B and T-cell epitope was identified at 154-162 of the OMP25 antigen. Bioinformatics analysis showed that this region has proper epitope characterization and so may be useful for producing recombinant vaccine. پرونده مقاله