Cargando…
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...
Autores principales: | , , , , , , , , |
---|---|
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 |
_version_ | 1783625580156026880 |
---|---|
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. |
format | Online Article Text |
id | pubmed-7750962 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT hasegawatakanori neoantimonamultifunctionalrpackageforidentificationoftumorspecificneoantigens AT hayashishuto neoantimonamultifunctionalrpackageforidentificationoftumorspecificneoantigens AT shimizueigo neoantimonamultifunctionalrpackageforidentificationoftumorspecificneoantigens AT mizunoshinichi neoantimonamultifunctionalrpackageforidentificationoftumorspecificneoantigens AT niidaatsushi neoantimonamultifunctionalrpackageforidentificationoftumorspecificneoantigens AT yamaguchirui neoantimonamultifunctionalrpackageforidentificationoftumorspecificneoantigens AT miyanosatoru neoantimonamultifunctionalrpackageforidentificationoftumorspecificneoantigens AT nakagawahidewaki neoantimonamultifunctionalrpackageforidentificationoftumorspecificneoantigens AT imotoseiya neoantimonamultifunctionalrpackageforidentificationoftumorspecificneoantigens |