Mongolian
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
Journal of Visualized Experiments 2012-Jul

Detection and genogrouping of noroviruses from children's stools by Taqman One-step RT-PCR.

Зөвхөн бүртгэлтэй хэрэглэгчид л нийтлэл орчуулах боломжтой
Нэвтрэх / Бүртгүүлэх
Холбоосыг санах ойд хадгалдаг
Sonia Apaza
Susan Espetia
Robert H Gilman
Sonia Montenegro
Susana Pineda
Fanny Herhold
Romeo Pomari
Margaret Kosek
Nancy Vu
Mayuko Saito

Түлхүүр үгс

Хураангуй

Noroviruses (NoVs) are the leading cause of outbreaks of sporadic acute gastroenteritis worldwide in humans of all ages. They are important cause of hospitalizations in children with a public health impact similar to that of Rotavirus. NoVs are RNA viruses of great genetic diversity and there is a continuous appearance of new strains. Five genogroups are recognized; GI and GII with their many genotypes and subtypes being the most important for human infection. However, the diagnosis of these two genotypes remains problematic, delaying diagnosis and treatment. For RNA extraction from stool specimens the most commonly used method is the QIAmp Viral RNA commercial kit from Qiagen. This method combines the binding properties of a silica gel membrane, buffers that control RNases and provide optimum binding of the RNA to the column together with the speed of microspin. This method is simple, fast and reliable and is carried out in a few steps that are detailed in the description provided by the manufacturer. Norovirus is second only to rotavirus as the most common cause of diarrhea. Norovirus diagnosis should be available in all studies on pathogenesis of diarrhea as well as in outbreaks or individual diarrhea cases. At present however norovirus diagnosis is restricted to only a few centers due to the lack of simple methods of diagnosis. This delays diagnosis and treatment. In addition, due to costs and regulated transportation of corrosive buffers within and between countries use of these manufactured kits poses logistical problems. As a result, in this protocol we describe an alternative, economic, in-house method which is based on the original Boom et al. method which uses the nucleic acid binding properties of silica particles together with the anti-nuclease properties of guanidinium thiocyanate. For the detection and genogrouping (GI and GII) of NoVs isolates from stool specimens, several RT-PCR protocols utilizing different targets have been developed. The consensus is that an RT-PCR using TaqMan chemistry would be the best molecular technique for diagnosis, because it combines high sensitivity, specificity and reproducibility with high throughput and ease of use. Here we describe an assay targeting the open reading frame 1 (ORF1)-ORF2 junction region; the most conserved region of the NoV genome and hence most suitable for diagnosis. For further genetic analysis a conventional RT-PCR that targets the highly variable N-terminal-shell from the major protein of the capsid (Region C) using primers originally described by Kojima et al. is detailed. Sequencing of the PCR product from the conventional PCR enables the differentiation of genotypes belonging to the GI and GII genogroups.

Манай facebook
хуудсанд нэгдээрэй

Шинжлэх ухаанаар баталгаажсан эмийн өвс ургамлын бүрэн мэдээллийн сан

  • 55 хэл дээр ажилладаг
  • Шинжлэх ухааны үндэслэсэн ургамлын гаралтай эдгэрэлт
  • Ургамлыг дүрсээр таних
  • Интерактив GPS газрын зураг - эмийн ургамлыг байршлаар нь тэмдэглэнэ (удахгүй)
  • Хайлттай холбоотой шинжлэх ухааны нийтлэлүүдийг уншина уу
  • Эмийн өвсийг үр нөлөөгөөр нь хайж олох
  • Мэдээллийн судалгаа, клиник туршилт, патентыг цаг тухайд нь сонирхож, зохион байгуул

Шинж тэмдэг эсвэл өвчний талаар бичиж, тус болох ургамлын талаар уншиж, өвслөг ургамлыг бичиж, өвчний эсрэг шинж тэмдгийг үзээрэй.
* Бүх мэдээлэл нь хэвлэгдсэн эрдэм шинжилгээний судалгаанд үндэслэсэн болно

Google Play badgeApp Store badge