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TIDB: a comprehensive database of trained immunity
Trained immunity is a newly emerging concept that defines the ability of the innate immune system to form immune memory and provide long-lasting protection against previously encountered antigens. Accumulating evidence reveals that trained immunity not only has broad benefits to host defense but is...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8271126/ https://www.ncbi.nlm.nih.gov/pubmed/34244719 http://dx.doi.org/10.1093/database/baab041 |
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author | Cao, Yang Dong, Qingyang Wang, Dan Liu, Ying Zhang, Pengcheng Yu, Xiaobo Niu, Chao |
author_facet | Cao, Yang Dong, Qingyang Wang, Dan Liu, Ying Zhang, Pengcheng Yu, Xiaobo Niu, Chao |
author_sort | Cao, Yang |
collection | PubMed |
description | Trained immunity is a newly emerging concept that defines the ability of the innate immune system to form immune memory and provide long-lasting protection against previously encountered antigens. Accumulating evidence reveals that trained immunity not only has broad benefits to host defense but is also harmful to the host in chronic inflammatory diseases. However, all trained immunity-related information is scattered in the literature and thus is difficult to access. Here, we describe Trained Immunity DataBase (TIDB), a comprehensive database that provides well-studied trained immunity-related genes from human, rat and mouse as well as the related literature evidence. Moreover, TIDB also provides three modules to analyze the function of the trained-immunity-related genes of interest, including Reactome pathway over-representation analysis, Gene Ontology enrichment analysis and protein–protein interaction subnetwork reconstruction. We believe TIDB will help developing valuable strategies for vaccine design and immune-mediated disease therapy. Database URL: http://www.ieom-tm.com/tidb |
format | Online Article Text |
id | pubmed-8271126 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-82711262021-07-12 TIDB: a comprehensive database of trained immunity Cao, Yang Dong, Qingyang Wang, Dan Liu, Ying Zhang, Pengcheng Yu, Xiaobo Niu, Chao Database (Oxford) Original Article Trained immunity is a newly emerging concept that defines the ability of the innate immune system to form immune memory and provide long-lasting protection against previously encountered antigens. Accumulating evidence reveals that trained immunity not only has broad benefits to host defense but is also harmful to the host in chronic inflammatory diseases. However, all trained immunity-related information is scattered in the literature and thus is difficult to access. Here, we describe Trained Immunity DataBase (TIDB), a comprehensive database that provides well-studied trained immunity-related genes from human, rat and mouse as well as the related literature evidence. Moreover, TIDB also provides three modules to analyze the function of the trained-immunity-related genes of interest, including Reactome pathway over-representation analysis, Gene Ontology enrichment analysis and protein–protein interaction subnetwork reconstruction. We believe TIDB will help developing valuable strategies for vaccine design and immune-mediated disease therapy. Database URL: http://www.ieom-tm.com/tidb Oxford University Press 2021-07-09 /pmc/articles/PMC8271126/ /pubmed/34244719 http://dx.doi.org/10.1093/database/baab041 Text en © The Author(s) 2021. 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 | Original Article Cao, Yang Dong, Qingyang Wang, Dan Liu, Ying Zhang, Pengcheng Yu, Xiaobo Niu, Chao TIDB: a comprehensive database of trained immunity |
title | TIDB: a comprehensive database of trained immunity |
title_full | TIDB: a comprehensive database of trained immunity |
title_fullStr | TIDB: a comprehensive database of trained immunity |
title_full_unstemmed | TIDB: a comprehensive database of trained immunity |
title_short | TIDB: a comprehensive database of trained immunity |
title_sort | tidb: a comprehensive database of trained immunity |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8271126/ https://www.ncbi.nlm.nih.gov/pubmed/34244719 http://dx.doi.org/10.1093/database/baab041 |
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