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Neoantimon: a multifunctional R package for identification of tumor-specific neoantigens

SUMMARY: It is known that some mutant peptides, such as those resulting from missense mutations and frameshift insertions, can bind to the major histocompatibility complex and be presented to antitumor T cells on the surface of a tumor cell. These peptides are termed neoantigen, and it is important...

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Autores principales: Hasegawa, Takanori, Hayashi, Shuto, Shimizu, Eigo, Mizuno, Shinichi, Niida, Atsushi, Yamaguchi, Rui, Miyano, Satoru, Nakagawa, Hidewaki, Imoto, Seiya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7750962/
https://www.ncbi.nlm.nih.gov/pubmed/33123738
http://dx.doi.org/10.1093/bioinformatics/btaa616
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author Hasegawa, Takanori
Hayashi, Shuto
Shimizu, Eigo
Mizuno, Shinichi
Niida, Atsushi
Yamaguchi, Rui
Miyano, Satoru
Nakagawa, Hidewaki
Imoto, Seiya
author_facet Hasegawa, Takanori
Hayashi, Shuto
Shimizu, Eigo
Mizuno, Shinichi
Niida, Atsushi
Yamaguchi, Rui
Miyano, Satoru
Nakagawa, Hidewaki
Imoto, Seiya
author_sort Hasegawa, Takanori
collection PubMed
description SUMMARY: It is known that some mutant peptides, such as those resulting from missense mutations and frameshift insertions, can bind to the major histocompatibility complex and be presented to antitumor T cells on the surface of a tumor cell. These peptides are termed neoantigen, and it is important to understand this process for cancer immunotherapy. Here, we introduce an R package termed Neoantimon that can predict a list of potential neoantigens from a variety of mutations, which include not only somatic point mutations but insertions, deletions and structural variants. Beyond the existing applications, Neoantimon is capable of attaching and reflecting several additional information, e.g. wild-type binding capability, allele specific RNA expression levels, single nucleotide polymorphism information and combinations of mutations to filter out infeasible peptides as neoantigen. AVAILABILITY AND IMPLEMENTATION: The R package is available at http://github/hase62/Neoantimon.
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spelling pubmed-77509622020-12-28 Neoantimon: a multifunctional R package for identification of tumor-specific neoantigens Hasegawa, Takanori Hayashi, Shuto Shimizu, Eigo Mizuno, Shinichi Niida, Atsushi Yamaguchi, Rui Miyano, Satoru Nakagawa, Hidewaki Imoto, Seiya Bioinformatics Applications Notes SUMMARY: It is known that some mutant peptides, such as those resulting from missense mutations and frameshift insertions, can bind to the major histocompatibility complex and be presented to antitumor T cells on the surface of a tumor cell. These peptides are termed neoantigen, and it is important to understand this process for cancer immunotherapy. Here, we introduce an R package termed Neoantimon that can predict a list of potential neoantigens from a variety of mutations, which include not only somatic point mutations but insertions, deletions and structural variants. Beyond the existing applications, Neoantimon is capable of attaching and reflecting several additional information, e.g. wild-type binding capability, allele specific RNA expression levels, single nucleotide polymorphism information and combinations of mutations to filter out infeasible peptides as neoantigen. AVAILABILITY AND IMPLEMENTATION: The R package is available at http://github/hase62/Neoantimon. Oxford University Press 2020-09-16 /pmc/articles/PMC7750962/ /pubmed/33123738 http://dx.doi.org/10.1093/bioinformatics/btaa616 Text en © The Author(s) 2020. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Notes
Hasegawa, Takanori
Hayashi, Shuto
Shimizu, Eigo
Mizuno, Shinichi
Niida, Atsushi
Yamaguchi, Rui
Miyano, Satoru
Nakagawa, Hidewaki
Imoto, Seiya
Neoantimon: a multifunctional R package for identification of tumor-specific neoantigens
title Neoantimon: a multifunctional R package for identification of tumor-specific neoantigens
title_full Neoantimon: a multifunctional R package for identification of tumor-specific neoantigens
title_fullStr Neoantimon: a multifunctional R package for identification of tumor-specific neoantigens
title_full_unstemmed Neoantimon: a multifunctional R package for identification of tumor-specific neoantigens
title_short Neoantimon: a multifunctional R package for identification of tumor-specific neoantigens
title_sort neoantimon: a multifunctional r package for identification of tumor-specific neoantigens
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7750962/
https://www.ncbi.nlm.nih.gov/pubmed/33123738
http://dx.doi.org/10.1093/bioinformatics/btaa616
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