Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Human viral infections such as HIV and EBV typically evoke a strong and diverse CD8(+) T cell response. Relatively little is known about the extent to which TCR repertoire evolution occurs during viral infection or how repertoire evolution affects the efficacy of the CD8(+) T cell response. In this study we describe a general approach for tracking TCR repertoire evolution during viral infection. IFNgamma surface capture and MHC class I tetramer staining were independently used to isolate EBV-specific CD8(+) T cells from peripheral blood. Anchored RT-PCR and clonotype TCR repertoire analysis were performed immediately after isolating the cells. We find that the TCR repertoires of the IFNgamma-secreting and MHC class I tetramer staining populations were similar. In one subject a detailed analysis of the TCR repertoire during the first year of EBV infection was performed and over 600 TCR sequences targeting an EBV-immunodominant epitope were analyzed. Although some repertoire evolution occurred during the year, in general, the degree of repertoire drift was small. TCR repertoire analysis for an HIV-immunodominant epitope revealed a highly conserved amino acid motif in the Dbeta region of TCR that recognizes the epitope and suggested that T cell precursor frequency influences which epitopes are targeted early in HIV infection. This methodology, which allows one to sort antigen-specific T cells based on different functional assays and to obtain a snapshot of their TCR repertoire with relative ease, should lead to a richer understanding of the rules underlying antigen recognition and T cell evolution during viral infection.
Download full-text PDF |
Source |
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http://dx.doi.org/10.1006/viro.2002.1743 | DOI Listing |
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