Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Wen, Jin-Sheng, Jiang, Li-Fang, Zhou, Jun-Mei, Yan, Hui-Jun, Fang, Dan-Yun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2008
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
_version_ 1783513834887053312
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
work_keys_str_mv AT wenjinsheng computationalpredictionandidentificationofdenguevirusspecificcd4tcellepitopes
AT jianglifang computationalpredictionandidentificationofdenguevirusspecificcd4tcellepitopes
AT zhoujunmei computationalpredictionandidentificationofdenguevirusspecificcd4tcellepitopes
AT yanhuijun computationalpredictionandidentificationofdenguevirusspecificcd4tcellepitopes
AT fangdanyun computationalpredictionandidentificationofdenguevirusspecificcd4tcellepitopes