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ABPEPserver: a web application for documentation and analysis of substitutants

BACKGROUND: Cancer immunotherapy is implemented by identifying antigens that are presented on the cell surface of cancer cells and illicit T-cell response (Schumacher and Schreiber, Science 348:69–74, 2015; Waldman et al., Nat Rev Immunol 20:651–668, 2020; Zhang et al., Front Immunol 12:672,356, 202...

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Detalles Bibliográficos
Autores principales: Pataskar, Abhijeet, Montenegro Navarro, Jasmine, Agami, Reuven
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10239192/
https://www.ncbi.nlm.nih.gov/pubmed/37270525
http://dx.doi.org/10.1186/s12885-023-10970-8
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author Pataskar, Abhijeet
Montenegro Navarro, Jasmine
Agami, Reuven
author_facet Pataskar, Abhijeet
Montenegro Navarro, Jasmine
Agami, Reuven
author_sort Pataskar, Abhijeet
collection PubMed
description BACKGROUND: Cancer immunotherapy is implemented by identifying antigens that are presented on the cell surface of cancer cells and illicit T-cell response (Schumacher and Schreiber, Science 348:69–74, 2015; Waldman et al., Nat Rev Immunol 20:651–668, 2020; Zhang et al., Front Immunol 12:672,356, 2021b). Classical candidates of such antigens are the peptides resulting from genetic alterations and are named “neoantigen" (Schumacher and Schreiber, Science 348:69–74, 2015). Neoantigens have been widely catalogued across several human cancer types (Tan et al., Database (Oxford) 2020;2020b; Vigneron et al., Cancer Immun 13:15, 2013; Yi et al., iScience 24:103,107, 2021; Zhang et al., BMC Bioinformatics 22:40, 2021a). Recently, a new class of inducible antigens has been identified, namely Substitutants, that are produced as a result of aberrant protein translation (Pataskar et al., Nature 603:721–727, 2022). MAIN: Catalogues of Substitutant expression across human cancer types, their specificity and association to gene expression signatures remain elusive for the scientific community's access. As a solution, we present ABPEPserver, an online database and analytical platform that can visualize a large-scale tumour proteomics analysis of Substitutant expression across eight tumour types sourced from the CPTAC database (Edwards et al., J Proteome Res 14:2707–2713, 2015). Functionally, ABPEPserver offers the analysis of gene-association signatures of Substitutant peptides, a comparison of enrichment between tumour and tumour-adjacent normal tissues, and a list of peptides that serve as candidates for immunotherapy design. ABPEPserver will significantly enhance the exploration of aberrant protein production in human cancer, as exemplified in a case study. CONCLUSION: ABPEPserver is designed on an R SHINY platform to catalogue Substitutant peptides in human cancer. The application is available at https://rhpc.nki.nl/sites/shiny/ABPEP/. The code is available under GNU General public license from GitHub (https://github.com/jasminesmn/ABPEPserver). SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-023-10970-8.
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spelling pubmed-102391922023-06-04 ABPEPserver: a web application for documentation and analysis of substitutants Pataskar, Abhijeet Montenegro Navarro, Jasmine Agami, Reuven BMC Cancer Database BACKGROUND: Cancer immunotherapy is implemented by identifying antigens that are presented on the cell surface of cancer cells and illicit T-cell response (Schumacher and Schreiber, Science 348:69–74, 2015; Waldman et al., Nat Rev Immunol 20:651–668, 2020; Zhang et al., Front Immunol 12:672,356, 2021b). Classical candidates of such antigens are the peptides resulting from genetic alterations and are named “neoantigen" (Schumacher and Schreiber, Science 348:69–74, 2015). Neoantigens have been widely catalogued across several human cancer types (Tan et al., Database (Oxford) 2020;2020b; Vigneron et al., Cancer Immun 13:15, 2013; Yi et al., iScience 24:103,107, 2021; Zhang et al., BMC Bioinformatics 22:40, 2021a). Recently, a new class of inducible antigens has been identified, namely Substitutants, that are produced as a result of aberrant protein translation (Pataskar et al., Nature 603:721–727, 2022). MAIN: Catalogues of Substitutant expression across human cancer types, their specificity and association to gene expression signatures remain elusive for the scientific community's access. As a solution, we present ABPEPserver, an online database and analytical platform that can visualize a large-scale tumour proteomics analysis of Substitutant expression across eight tumour types sourced from the CPTAC database (Edwards et al., J Proteome Res 14:2707–2713, 2015). Functionally, ABPEPserver offers the analysis of gene-association signatures of Substitutant peptides, a comparison of enrichment between tumour and tumour-adjacent normal tissues, and a list of peptides that serve as candidates for immunotherapy design. ABPEPserver will significantly enhance the exploration of aberrant protein production in human cancer, as exemplified in a case study. CONCLUSION: ABPEPserver is designed on an R SHINY platform to catalogue Substitutant peptides in human cancer. The application is available at https://rhpc.nki.nl/sites/shiny/ABPEP/. The code is available under GNU General public license from GitHub (https://github.com/jasminesmn/ABPEPserver). SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-023-10970-8. BioMed Central 2023-06-03 /pmc/articles/PMC10239192/ /pubmed/37270525 http://dx.doi.org/10.1186/s12885-023-10970-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Database
Pataskar, Abhijeet
Montenegro Navarro, Jasmine
Agami, Reuven
ABPEPserver: a web application for documentation and analysis of substitutants
title ABPEPserver: a web application for documentation and analysis of substitutants
title_full ABPEPserver: a web application for documentation and analysis of substitutants
title_fullStr ABPEPserver: a web application for documentation and analysis of substitutants
title_full_unstemmed ABPEPserver: a web application for documentation and analysis of substitutants
title_short ABPEPserver: a web application for documentation and analysis of substitutants
title_sort abpepserver: a web application for documentation and analysis of substitutants
topic Database
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10239192/
https://www.ncbi.nlm.nih.gov/pubmed/37270525
http://dx.doi.org/10.1186/s12885-023-10970-8
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