JOURNAL ARTICLE
RESEARCH SUPPORT, N.I.H., EXTRAMURAL
RESEARCH SUPPORT, NON-U.S. GOV'T
VALIDATION STUDIES
Add like
Add dislike
Add to saved papers

Mouse model of respiratory Chlamydia pneumoniae infection for a genomic screen of subunit vaccine candidates.

Vaccine 2006 April 6
An inbred A/J mouse respiratory challenge model was validated for vaccine testing against Chlamydia (C.) pneumoniae and used to screen the C. pneumoniae genome for vaccine candidates by expression library immunization (ELI). Biolistic delivery of genetic vaccine constructs elicited Th2-like immunity that was associated with inefficient elimination of C. pneumoniae. Delivery by injection elicited protective Th1-like responses. Since biolistic delivery of pools of ORFs was used in first round screening, the screen presumably selected against potent immunogens. Nevertheless, it was sufficiently accurate to identify three weakly protective antigens among all putative C. pneumoniae ORFs. The results suggest ELI discovery of highly protective C. pneumoniae vaccine candidates requires tight control of the Th1 immunity elicited by the genetically delivered library of test antigens.

Full text links

We have located links that may give you full text access.
Can't access the paper?
Try logging in through your university/institutional subscription. For a smoother one-click institutional access experience, please use our mobile app.

Related Resources

For the best experience, use the Read mobile app

Mobile app image

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app

All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.

By using this service, you agree to our terms of use and privacy policy.

Your Privacy Choices Toggle icon

You can now claim free CME credits for this literature searchClaim now

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app