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Computational prediction and identification of dengue virus-specific CD4(+) T-cell epitopes
In this study, we tried to identify dengue virus-specific CD4(+) T-cell epitopes, which can induce PBMC (peripheral blood mononuclear cells) isolated from DF convalescent patients (dengue virus type 1 infection) to secrete IFN-γ. PBMC of DF convalescent patients were stimulated in vitro with dengue...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7114202/ https://www.ncbi.nlm.nih.gov/pubmed/18061300 http://dx.doi.org/10.1016/j.virusres.2007.10.010 |
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author | Wen, Jin-Sheng Jiang, Li-Fang Zhou, Jun-Mei Yan, Hui-Jun Fang, Dan-Yun |
author_facet | Wen, Jin-Sheng Jiang, Li-Fang Zhou, Jun-Mei Yan, Hui-Jun Fang, Dan-Yun |
author_sort | Wen, Jin-Sheng |
collection | PubMed |
description | In this study, we tried to identify dengue virus-specific CD4(+) T-cell epitopes, which can induce PBMC (peripheral blood mononuclear cells) isolated from DF convalescent patients (dengue virus type 1 infection) to secrete IFN-γ. PBMC of DF convalescent patients were stimulated in vitro with dengue virus-derived peptides, which were prepared based on the prediction of dengue virus-specific CD4(+) T-cell epitopes by using RANKpep online software. Subsequently, the frequency of IFN-γ producing T cells and percentage of IFN-γ(+) CD4(+) T cells were measured by using ELISPOT assay and ICS assay (intracellular cytokine straining), respectively. The positive response of PBMC by ELISPOT showed that the numbers of SFC (spots forming cells) ranged from 50 to 310 SFC/1 × 10(6) PBMC. The positive response of PBMC by ICS assay showed that the percentage of IFN-γ(+) CD4(+) T cells ranged from 0.03 to 0.27%. As a result, C(45-57) (KLVMAFIAFLRFL), E(396-408) (SSIGKMFEATARG), NS3(23-35) (YRILQRGLLGRSQ), and NS3(141-155) (NREGKIVGLYGNGVV) were identified as dengue virus-specific CD4(+) T-cell epitopes. |
format | Online Article Text |
id | pubmed-7114202 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71142022020-04-02 Computational prediction and identification of dengue virus-specific CD4(+) T-cell epitopes Wen, Jin-Sheng Jiang, Li-Fang Zhou, Jun-Mei Yan, Hui-Jun Fang, Dan-Yun Virus Res Article In this study, we tried to identify dengue virus-specific CD4(+) T-cell epitopes, which can induce PBMC (peripheral blood mononuclear cells) isolated from DF convalescent patients (dengue virus type 1 infection) to secrete IFN-γ. PBMC of DF convalescent patients were stimulated in vitro with dengue virus-derived peptides, which were prepared based on the prediction of dengue virus-specific CD4(+) T-cell epitopes by using RANKpep online software. Subsequently, the frequency of IFN-γ producing T cells and percentage of IFN-γ(+) CD4(+) T cells were measured by using ELISPOT assay and ICS assay (intracellular cytokine straining), respectively. The positive response of PBMC by ELISPOT showed that the numbers of SFC (spots forming cells) ranged from 50 to 310 SFC/1 × 10(6) PBMC. The positive response of PBMC by ICS assay showed that the percentage of IFN-γ(+) CD4(+) T cells ranged from 0.03 to 0.27%. As a result, C(45-57) (KLVMAFIAFLRFL), E(396-408) (SSIGKMFEATARG), NS3(23-35) (YRILQRGLLGRSQ), and NS3(141-155) (NREGKIVGLYGNGVV) were identified as dengue virus-specific CD4(+) T-cell epitopes. Elsevier B.V. 2008-03 2007-12-03 /pmc/articles/PMC7114202/ /pubmed/18061300 http://dx.doi.org/10.1016/j.virusres.2007.10.010 Text en Copyright © 2007 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Wen, Jin-Sheng Jiang, Li-Fang Zhou, Jun-Mei Yan, Hui-Jun Fang, Dan-Yun Computational prediction and identification of dengue virus-specific CD4(+) T-cell epitopes |
title | Computational prediction and identification of dengue virus-specific CD4(+) T-cell epitopes |
title_full | Computational prediction and identification of dengue virus-specific CD4(+) T-cell epitopes |
title_fullStr | Computational prediction and identification of dengue virus-specific CD4(+) T-cell epitopes |
title_full_unstemmed | Computational prediction and identification of dengue virus-specific CD4(+) T-cell epitopes |
title_short | Computational prediction and identification of dengue virus-specific CD4(+) T-cell epitopes |
title_sort | computational prediction and identification of dengue virus-specific cd4(+) t-cell epitopes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7114202/ https://www.ncbi.nlm.nih.gov/pubmed/18061300 http://dx.doi.org/10.1016/j.virusres.2007.10.010 |
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