Portuguese
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)
Virus Research 2017-Jan

Porcine amino peptidase N domain VII has critical role in binding and entry of porcine epidemic diarrhea virus.

Apenas usuários registrados podem traduzir artigos
Entrar Inscrever-se
O link é salvo na área de transferência
Anthony Ndirangu Kamau
Jung-Eun Park
Eui-Soon Park
Jung-Eun Yu
Jaerang Rho
Hyun-Jin Shin

Palavras-chave

Resumo

Porcine epidemic diarrhea virus (PEDV) infects swine intestinal cells causing enteric disease. Research has shown that the entry into these cells is through porcine aminopeptidase N (pAPN) receptor. To gain insights into mechanisms of PEDV-pAPN interactions, the present study aimed at identifying the domain that is critical for PEDV binding. To this end, NIH3T3 cell lines constitutively expressing pAPN or pAPN mutants were generated. The mutants were; domain VII deletion mutant and domains IV-VI deletion mutant. In the latter, domain VII was linked to the transmembrane segment through domain III. Results showed PEDV infection was restricted to pAPN and pAPN domain VII expressing NIH3T3 cells. Further, reducing PEDV titre 10 fold resulted in 37.8% decrease in foci indicating positive correlation. A time course test at 12, 24, 36, 48 and 60h showed that foci increased 6 fold in the overall time range. Also, PEDV harvested from pAPN or domain VII expressing NIH3T3 cells was induced indirect plaques in Vero cells confirming successful entry and replication. Collectively, our results demonstrate that PEDV recognizes pAPN and that the main interactive point is lodged within domain VII of the pAPN. These findings are important for therapeutic development as well as creating a platform for future studies on PEDV.

Junte-se à nossa
página do facebook

O mais completo banco de dados de ervas medicinais apoiado pela ciência

  • Funciona em 55 idiomas
  • Curas herbais apoiadas pela ciência
  • Reconhecimento de ervas por imagem
  • Mapa GPS interativo - marcar ervas no local (em breve)
  • Leia publicações científicas relacionadas à sua pesquisa
  • Pesquise ervas medicinais por seus efeitos
  • Organize seus interesses e mantenha-se atualizado com as notícias de pesquisa, testes clínicos e patentes

Digite um sintoma ou doença e leia sobre ervas que podem ajudar, digite uma erva e veja as doenças e sintomas contra os quais ela é usada.
* Todas as informações são baseadas em pesquisas científicas publicadas

Google Play badgeApp Store badge