• Title of article

    Identification of internal control genes for quantitative expression analysis by real-time PCR in bovine peripheral lymphocytes

  • Author/Authors

    Veronica Spalenza، نويسنده , , Veronica and Girolami، نويسنده , , Flavia and Bevilacqua، نويسنده , , Claudia and Riondato، نويسنده , , Fulvio and Rasero، نويسنده , , Roberto and Nebbia، نويسنده , , Carlo and Sacchi، نويسنده , , Paola and Martin، نويسنده , , Patrice، نويسنده ,

  • Issue Information
    فصلنامه با شماره پیاپی سال 2011
  • Pages
    6
  • From page
    278
  • To page
    283
  • Abstract
    Gene expression studies in blood cells, particularly lymphocytes, are useful for monitoring potential exposure to toxicants or environmental pollutants in humans and livestock species. Quantitative PCR is the method of choice for obtaining accurate quantification of mRNA transcripts although variations in the amount of starting material, enzymatic efficiency, and the presence of inhibitors can lead to evaluation errors. As a result, normalization of data is of crucial importance. The most common approach is the use of endogenous reference genes as an internal control, whose expression should ideally not vary among individuals and under different experimental conditions. The accurate selection of reference genes is therefore an important step in interpreting quantitative PCR studies. no systematic investigation in bovine lymphocytes has been performed, the aim of the present study was to assess the expression stability of seven candidate reference genes in circulating lymphocytes collected from 15 dairy cows. Following the characterization by flow cytometric analysis of the cell populations obtained from blood through a density gradient procedure, three popular softwares were used to evaluate the gene expression data. The results showed that two genes are sufficient for normalization of quantitative PCR studies in cattle lymphocytes and that YWAHZ, S24 and PPIA are the most stable genes.
  • Keywords
    PCR , Lymphocytes , Bovine , reference genes , expression analysis
  • Journal title
    The Veterinary Journal
  • Serial Year
    2011
  • Journal title
    The Veterinary Journal
  • Record number

    1395266