کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
9279384 | 1593514 | 2005 | 4 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Development of a real-time RT-PCR assay for detection and quantitation of parainfluenza virus 3
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری
ایمنی شناسی و میکروب شناسی
ویروس شناسی
پیش نمایش صفحه اول مقاله

چکیده انگلیسی
A TaqMan-based real-time RT-PCR assay was developed to detect and quantify human parainfluenza virus 3 (PIV3). Two sets of primer-probe pairs were designed based on the nucleotide (nt) sequence of the nucleocapsid (N) gene. The primer-probe pairs were derived from the 3â² end of the N gene (set 1) and the 5â² region of the gene (set 2), respectively. Using real-time RT-PCR, the sensitivity of set 1 was determined to be about 9 copies of PIV3 genome, while the sensitivity of set 2 was about 93 copies of PIV3 genome. Set 1 was chosen for subsequent experiments. This primer-probe pair detected PIV3, but not any of several other respiratory viruses, indicating that the assay is PIV3 specific. For clinical evaluation, the assay was employed to test 80 nasopharyngeal aspirates from children with respiratory symptoms. The results confirmed the presence of PIV3 in 12 specimens previously identified as positive by culture confirmation, and showed all of which contained more than 100 copies of PIV3 genome. In addition, the method also detected PIV3 genomes in specimens found negative by culture confirmation, indicating the value of this RT-PCR assay. These data thus demonstrate the application of the real-time RT-PCR assay for the detection and quantification of PIV3 in clinical specimens.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Virological Methods - Volume 130, Issues 1â2, December 2005, Pages 145-148
Journal: Journal of Virological Methods - Volume 130, Issues 1â2, December 2005, Pages 145-148
نویسندگان
Aizhong Hu, Melissa Colella, Ping Zhao, Fenglan Li, John S. Tam, Ruth Rappaport, Sheau-Mei Cheng,