1 resultado para Single cell proteins
em Brunel University
Filtro por publicador
- KUPS-Datenbank - Universität zu Köln - Kölner UniversitätsPublikationsServer (1)
- Aberystwyth University Repository - Reino Unido (1)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (2)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (17)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (4)
- Aquatic Commons (2)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (17)
- Archimer: Archive de l'Institut francais de recherche pour l'exploitation de la mer (1)
- Aston University Research Archive (21)
- Biblioteca de Teses e Dissertações da USP (1)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (15)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (8)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (63)
- Boston University Digital Common (2)
- Brock University, Canada (2)
- Brunel University (1)
- Bucknell University Digital Commons - Pensilvania - USA (3)
- CaltechTHESIS (20)
- Cambridge University Engineering Department Publications Database (13)
- CentAUR: Central Archive University of Reading - UK (59)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (34)
- Cochin University of Science & Technology (CUSAT), India (9)
- Digital Commons at Florida International University (5)
- Digital Peer Publishing (1)
- Digital Repository at Iowa State University (2)
- DigitalCommons@The Texas Medical Center (29)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (2)
- DRUM (Digital Repository at the University of Maryland) (2)
- Duke University (20)
- Düsseldorfer Dokumenten- und Publikationsservice (1)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (3)
- Glasgow Theses Service (1)
- Helda - Digital Repository of University of Helsinki (12)
- Indian Institute of Science - Bangalore - Índia (41)
- Laboratório Nacional de Energia e Geologia - Portugal (1)
- Massachusetts Institute of Technology (2)
- National Center for Biotechnology Information - NCBI (125)
- Nottingham eTheses (1)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (6)
- Portal de Revistas Científicas Complutenses - Espanha (1)
- Publishing Network for Geoscientific & Environmental Data (47)
- QSpace: Queen's University - Canada (2)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (87)
- Queensland University of Technology - ePrints Archive (53)
- Repositório Alice (Acesso Livre à Informação Científica da Embrapa / Repository Open Access to Scientific Information from Embrapa) (1)
- Repositório Digital da UNIVERSIDADE DA MADEIRA - Portugal (1)
- Repositório Institucional da Universidade de Aveiro - Portugal (2)
- Repositório Institucional da Universidade de Brasília (2)
- Repositório Institucional da Universidade Federal do Rio Grande - FURG (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (101)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (1)
- SAPIENTIA - Universidade do Algarve - Portugal (2)
- Universidad de Alicante (2)
- Universidad del Rosario, Colombia (1)
- Universidad Politécnica de Madrid (8)
- Universidade de Lisboa - Repositório Aberto (2)
- Universidade Federal do Rio Grande do Norte (UFRN) (4)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (3)
- Université de Lausanne, Switzerland (12)
- Université de Montréal, Canada (11)
- Université Laval Mémoires et thèses électroniques (1)
- University of Queensland eSpace - Australia (6)
- University of Washington (2)
Resumo:
Since its identification in the 1990s, the RNA interference (RNAi) pathway has proven extremely useful in elucidating the function of proteins in the context of cells and even whole organisms. In particular, this sequence-specific and powerful loss-of-function approach has greatly simplified the study of the role of host cell factors implicated in the life cycle of viruses. Here, we detail the RNAi method we have developed and used to specifically knock down the expression of ezrin, an actin binding protein that was identified by yeast two-hybrid screening to interact with the Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV) spike (S) protein. This method was used to study the role of ezrin, specifically during the entry stage of SARS-CoV infection.