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A curated collection of human vaccination response signatures
Recent advances in high-throughput experiments and systems biology approaches have resulted in hundreds of publications identifying “immune signatures”. Unfortunately, these are often described within text, figures, or tables in a format not amenable to computational processing, thus severely hamper...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9643367/ https://www.ncbi.nlm.nih.gov/pubmed/36347894 http://dx.doi.org/10.1038/s41597-022-01558-1 |
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author | Smith, Kenneth C. Chawla, Daniel G. Dhillon, Bhavjinder K. Ji, Zhou Vita, Randi van der Leest, Eva C. Weng, Jing Yi Jessica Tang, Ernest Abid, Amani Peters, Bjoern Hancock, Robert E. W. Floratos, Aris Kleinstein, Steven H. |
author_facet | Smith, Kenneth C. Chawla, Daniel G. Dhillon, Bhavjinder K. Ji, Zhou Vita, Randi van der Leest, Eva C. Weng, Jing Yi Jessica Tang, Ernest Abid, Amani Peters, Bjoern Hancock, Robert E. W. Floratos, Aris Kleinstein, Steven H. |
author_sort | Smith, Kenneth C. |
collection | PubMed |
description | Recent advances in high-throughput experiments and systems biology approaches have resulted in hundreds of publications identifying “immune signatures”. Unfortunately, these are often described within text, figures, or tables in a format not amenable to computational processing, thus severely hampering our ability to fully exploit this information. Here we present a data model to represent immune signatures, along with the Human Immunology Project Consortium (HIPC) Dashboard (www.hipc-dashboard.org), a web-enabled application to facilitate signature access and querying. The data model captures the biological response components (e.g., genes, proteins, cell types or metabolites) and metadata describing the context under which the signature was identified using standardized terms from established resources (e.g., HGNC, Protein Ontology, Cell Ontology). We have manually curated a collection of >600 immune signatures from >60 published studies profiling human vaccination responses for the current release. The system will aid in building a broader understanding of the human immune response to stimuli by enabling researchers to easily access and interrogate published immune signatures. |
format | Online Article Text |
id | pubmed-9643367 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-96433672022-11-15 A curated collection of human vaccination response signatures Smith, Kenneth C. Chawla, Daniel G. Dhillon, Bhavjinder K. Ji, Zhou Vita, Randi van der Leest, Eva C. Weng, Jing Yi Jessica Tang, Ernest Abid, Amani Peters, Bjoern Hancock, Robert E. W. Floratos, Aris Kleinstein, Steven H. Sci Data Article Recent advances in high-throughput experiments and systems biology approaches have resulted in hundreds of publications identifying “immune signatures”. Unfortunately, these are often described within text, figures, or tables in a format not amenable to computational processing, thus severely hampering our ability to fully exploit this information. Here we present a data model to represent immune signatures, along with the Human Immunology Project Consortium (HIPC) Dashboard (www.hipc-dashboard.org), a web-enabled application to facilitate signature access and querying. The data model captures the biological response components (e.g., genes, proteins, cell types or metabolites) and metadata describing the context under which the signature was identified using standardized terms from established resources (e.g., HGNC, Protein Ontology, Cell Ontology). We have manually curated a collection of >600 immune signatures from >60 published studies profiling human vaccination responses for the current release. The system will aid in building a broader understanding of the human immune response to stimuli by enabling researchers to easily access and interrogate published immune signatures. Nature Publishing Group UK 2022-11-08 /pmc/articles/PMC9643367/ /pubmed/36347894 http://dx.doi.org/10.1038/s41597-022-01558-1 Text en © The Author(s) 2022 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Smith, Kenneth C. Chawla, Daniel G. Dhillon, Bhavjinder K. Ji, Zhou Vita, Randi van der Leest, Eva C. Weng, Jing Yi Jessica Tang, Ernest Abid, Amani Peters, Bjoern Hancock, Robert E. W. Floratos, Aris Kleinstein, Steven H. A curated collection of human vaccination response signatures |
title | A curated collection of human vaccination response signatures |
title_full | A curated collection of human vaccination response signatures |
title_fullStr | A curated collection of human vaccination response signatures |
title_full_unstemmed | A curated collection of human vaccination response signatures |
title_short | A curated collection of human vaccination response signatures |
title_sort | a curated collection of human vaccination response signatures |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9643367/ https://www.ncbi.nlm.nih.gov/pubmed/36347894 http://dx.doi.org/10.1038/s41597-022-01558-1 |
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