A consensus epitope prediction approach identifies the breadth of murine TCD8+-cell responses to vaccinia virus

Magdalini Moutaftsi; Bjoern Peters; Valerie Pasquetto; David C. Tscharke; John Sidney; Huynh Hoa Bui; Howard Grey; Alessandro Sette

doi:10.1038/nbt1215

A consensus epitope prediction approach identifies the breadth of murine T_CD8+-cell responses to vaccinia virus

Magdalini Moutaftsi, Bjoern Peters, Valerie Pasquetto, David C. Tscharke, John Sidney, Huynh Hoa Bui, Howard Grey, Alessandro Sette^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

464 Citations (Scopus)

Abstract

The value of predictive algorithms for identifying CD8⁺ T (T_CD8+)-cell epitopes has not been adequately tested experimentally. Here we demonstrate that conventional bioinformatic methods predict the vast majority of T_CD8+-cell epitopes derived from vaccinia virus WR strain (VACV-WR) in the H-2^b mouse model. This approach reveals the breadth of T-cell responses to vaccinia, a widely studied murine viral infection model, and may provide a tool for developing comprehensive antigenic maps of any complex pathogen.

Original language	English
Pages (from-to)	817-819
Number of pages	3
Journal	Nature Biotechnology
Volume	24
Issue number	7
DOIs	https://doi.org/10.1038/nbt1215
Publication status	Published - Jul 2006
Externally published	Yes

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title = "A consensus epitope prediction approach identifies the breadth of murine TCD8+-cell responses to vaccinia virus",

abstract = "The value of predictive algorithms for identifying CD8+ T (TCD8+)-cell epitopes has not been adequately tested experimentally. Here we demonstrate that conventional bioinformatic methods predict the vast majority of TCD8+-cell epitopes derived from vaccinia virus WR strain (VACV-WR) in the H-2b mouse model. This approach reveals the breadth of T-cell responses to vaccinia, a widely studied murine viral infection model, and may provide a tool for developing comprehensive antigenic maps of any complex pathogen.",

author = "Magdalini Moutaftsi and Bjoern Peters and Valerie Pasquetto and Tscharke, {David C.} and John Sidney and Bui, {Huynh Hoa} and Howard Grey and Alessandro Sette",

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AU - Moutaftsi, Magdalini

AU - Peters, Bjoern

AU - Pasquetto, Valerie

AU - Tscharke, David C.

AU - Sidney, John

AU - Bui, Huynh Hoa

AU - Grey, Howard

AU - Sette, Alessandro

PY - 2006/7

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N2 - The value of predictive algorithms for identifying CD8+ T (TCD8+)-cell epitopes has not been adequately tested experimentally. Here we demonstrate that conventional bioinformatic methods predict the vast majority of TCD8+-cell epitopes derived from vaccinia virus WR strain (VACV-WR) in the H-2b mouse model. This approach reveals the breadth of T-cell responses to vaccinia, a widely studied murine viral infection model, and may provide a tool for developing comprehensive antigenic maps of any complex pathogen.

AB - The value of predictive algorithms for identifying CD8+ T (TCD8+)-cell epitopes has not been adequately tested experimentally. Here we demonstrate that conventional bioinformatic methods predict the vast majority of TCD8+-cell epitopes derived from vaccinia virus WR strain (VACV-WR) in the H-2b mouse model. This approach reveals the breadth of T-cell responses to vaccinia, a widely studied murine viral infection model, and may provide a tool for developing comprehensive antigenic maps of any complex pathogen.

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A consensus epitope prediction approach identifies the breadth of murine T_CD8+-cell responses to vaccinia virus

Abstract

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