The University of Southampton
University of Southampton Institutional Repository

Frequency and phenotype of circulating Valpha24/Vbeta11 double-positive natural killer T cells during hepatitis C virus infection

Record type: Article

Natural killer T (NKT) cells are thought to be involved in innate responses against infection. We investigated one specific type of NKT cell, V24/Vß11 double positive, in hepatitis C virus (HCV) infection. Lower frequencies of this population were detected in the blood of HCV PCR-positive patients than in controls. Unlike V24/Vß11 NKT cells found in blood, those in the liver appeared to be recently activated.

Full text not available from this repository.

Citation

Lucas, Michaela, Gadola, Stephan, Meier, Ute, Young, Neil T., Harcourt, Gillian, Karadimitris, Anastasios, Coumi, Nikki, Brown, Dave, Dusheiko, Geoff, Cerundolo, Vincenzo and Klenerman, Paul (2003) Frequency and phenotype of circulating Valpha24/Vbeta11 double-positive natural killer T cells during hepatitis C virus infection Journal of Virology, 77, (3), pp. 2251-2257. (doi:10.1128/JVI.77.3.2251-2257.2003). (PMID:12525661).

More information

Published date: February 2003

Identifiers

Local EPrints ID: 175435
URI: http://eprints.soton.ac.uk/id/eprint/175435
ISSN: 0022-538X
PURE UUID: 0d06c90b-c6bf-4393-82ec-7be02f06e1c2

Catalogue record

Date deposited: 23 Feb 2011 14:25
Last modified: 18 Jul 2017 12:09

Export record

Altmetrics

Contributors

Author: Michaela Lucas
Author: Stephan Gadola
Author: Ute Meier
Author: Neil T. Young
Author: Gillian Harcourt
Author: Anastasios Karadimitris
Author: Nikki Coumi
Author: Dave Brown
Author: Geoff Dusheiko
Author: Vincenzo Cerundolo
Author: Paul Klenerman

University divisions


Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×