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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
immunology and microbiology
Comparison of overlapping peptide sets for detection of antiviral CD8 and CD4 T cell responses
Journal of Immunological Methods, Volume 275, No. 1-2, Year 2003
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Description
Increasing efforts are directed towards the development of effective vaccines through induction of virus-specific T cell responses. Although emerging data indicate a significant role of these cells in determining viral set point in infections such as HIV, there is as yet no consensus as to the best methods for assaying the breadth of these responses. In this study, we used sensitive interferon γ-based intracellular cytokine staining (ICS) and Elispot assays to determine the optimal overlapping peptide set to screen for these responses. Twenty persons with established HIV infection were studied, focusing on responses to the highly immunogenic Nef protein. Six different HIV-1 Nef peptide sets were used, ranging in length from 15 to 20 amino acids (aa), in overlap from 10 to 11 amino acids, and derived from two different B clade sequences. A total of 54 CD8 T cell responses to Nef peptides were found in this cohort, of which only 12 were detected using previously defined Nef optimal epitopes. No single peptide set detected all responses. Though there was a trend of the shorter peptides detecting more CD8 T cell responses than the 20 amino acid long peptides and longer peptides detecting more CD4 T cell responses, neither was statistically significant. There was no difference between an overlap of 10 or 11 amino acids. All responses detected with the six different sets of overlapping peptides were towards the more highly conserved regions of Nef. We conclude that peptides ranging from 15 to 20 amino acids yield similar results in IFN-γ-based Elispot and ICS assays, and that all are likely to underestimate the true breadth of responses to a given reference strain of virus. © 2002 Elsevier Science B.V. All rights reserved.
Authors & Co-Authors
Draenert, Rika
United States, Boston
Harvard Medical School
Altfeld, Marcus A.
United States, Boston
Harvard Medical School
Brander, Christian
United States, Boston
Harvard Medical School
Wurcel, Alysse Gail
United States, Boston
Harvard Medical School
United States, Boston
Lemuel Shattuck Hospital
Kalams, Spyros A.
United States, Boston
Harvard Medical School
Trocha, Alicja K.
United States, Boston
Harvard Medical School
Addo, Marylyn Martina
United States, Boston
Harvard Medical School
Goulder, Philip Jeremy Renshaw
United States, Boston
Harvard Medical School
United Kingdom, Oxford
Nuffield Department of Medicine
Walker, Bruce D.
United States, Boston
Harvard Medical School
United States, Boston
Massachusetts General Hospital
Statistics
Citations: 121
Authors: 9
Affiliations: 4
Identifiers
Doi:
10.1016/S0022-1759(02)00541-0
ISSN:
00221759
Research Areas
Infectious Diseases
Study Design
Cohort Study