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ImmunoGlobe: enabling systems immunology with a manually curated intercellular immune interaction network
BACKGROUND: While technological advances have made it possible to profile the immune system at high resolution, translating high-throughput data into knowledge of immune mechanisms has been challenged by the complexity of the interactions underlying immune processes. Tools to explore the immune netw...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7430879/ https://www.ncbi.nlm.nih.gov/pubmed/32778050 http://dx.doi.org/10.1186/s12859-020-03702-3 |
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author | Atallah, Michelle B. Tandon, Varun Hiam, Kamir J. Boyce, Hunter Hori, Michelle Atallah, Waleed Spitzer, Matthew H. Engleman, Edgar Mallick, Parag |
author_facet | Atallah, Michelle B. Tandon, Varun Hiam, Kamir J. Boyce, Hunter Hori, Michelle Atallah, Waleed Spitzer, Matthew H. Engleman, Edgar Mallick, Parag |
author_sort | Atallah, Michelle B. |
collection | PubMed |
description | BACKGROUND: While technological advances have made it possible to profile the immune system at high resolution, translating high-throughput data into knowledge of immune mechanisms has been challenged by the complexity of the interactions underlying immune processes. Tools to explore the immune network are critical for better understanding the multi-layered processes that underlie immune function and dysfunction, but require a standardized network map of immune interactions. To facilitate this we have developed ImmunoGlobe, a manually curated intercellular immune interaction network extracted from Janeway’s Immunobiology textbook. RESULTS: ImmunoGlobe is the first graphical representation of the immune interactome, and is comprised of 253 immune system components and 1112 unique immune interactions with detailed functional and characteristic annotations. Analysis of this network shows that it recapitulates known features of the human immune system and can be used uncover novel multi-step immune pathways, examine species-specific differences in immune processes, and predict the response of immune cells to stimuli. ImmunoGlobe is publicly available through a user-friendly interface at www.immunoglobe.org and can be downloaded as a computable graph and network table. CONCLUSION: While the fields of proteomics and genomics have long benefited from network analysis tools, no such tool yet exists for immunology. ImmunoGlobe provides a ground truth immune interaction network upon which such tools can be built. These tools will allow us to predict the outcome of complex immune interactions, providing mechanistic insight that allows us to precisely modulate immune responses in health and disease. |
format | Online Article Text |
id | pubmed-7430879 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-74308792020-08-18 ImmunoGlobe: enabling systems immunology with a manually curated intercellular immune interaction network Atallah, Michelle B. Tandon, Varun Hiam, Kamir J. Boyce, Hunter Hori, Michelle Atallah, Waleed Spitzer, Matthew H. Engleman, Edgar Mallick, Parag BMC Bioinformatics Research Article BACKGROUND: While technological advances have made it possible to profile the immune system at high resolution, translating high-throughput data into knowledge of immune mechanisms has been challenged by the complexity of the interactions underlying immune processes. Tools to explore the immune network are critical for better understanding the multi-layered processes that underlie immune function and dysfunction, but require a standardized network map of immune interactions. To facilitate this we have developed ImmunoGlobe, a manually curated intercellular immune interaction network extracted from Janeway’s Immunobiology textbook. RESULTS: ImmunoGlobe is the first graphical representation of the immune interactome, and is comprised of 253 immune system components and 1112 unique immune interactions with detailed functional and characteristic annotations. Analysis of this network shows that it recapitulates known features of the human immune system and can be used uncover novel multi-step immune pathways, examine species-specific differences in immune processes, and predict the response of immune cells to stimuli. ImmunoGlobe is publicly available through a user-friendly interface at www.immunoglobe.org and can be downloaded as a computable graph and network table. CONCLUSION: While the fields of proteomics and genomics have long benefited from network analysis tools, no such tool yet exists for immunology. ImmunoGlobe provides a ground truth immune interaction network upon which such tools can be built. These tools will allow us to predict the outcome of complex immune interactions, providing mechanistic insight that allows us to precisely modulate immune responses in health and disease. BioMed Central 2020-08-10 /pmc/articles/PMC7430879/ /pubmed/32778050 http://dx.doi.org/10.1186/s12859-020-03702-3 Text en © The Author(s) 2020 Open AccessThis 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/. The Creative Commons Public Domain Dedication waiver (http://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 | Research Article Atallah, Michelle B. Tandon, Varun Hiam, Kamir J. Boyce, Hunter Hori, Michelle Atallah, Waleed Spitzer, Matthew H. Engleman, Edgar Mallick, Parag ImmunoGlobe: enabling systems immunology with a manually curated intercellular immune interaction network |
title | ImmunoGlobe: enabling systems immunology with a manually curated intercellular immune interaction network |
title_full | ImmunoGlobe: enabling systems immunology with a manually curated intercellular immune interaction network |
title_fullStr | ImmunoGlobe: enabling systems immunology with a manually curated intercellular immune interaction network |
title_full_unstemmed | ImmunoGlobe: enabling systems immunology with a manually curated intercellular immune interaction network |
title_short | ImmunoGlobe: enabling systems immunology with a manually curated intercellular immune interaction network |
title_sort | immunoglobe: enabling systems immunology with a manually curated intercellular immune interaction network |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7430879/ https://www.ncbi.nlm.nih.gov/pubmed/32778050 http://dx.doi.org/10.1186/s12859-020-03702-3 |
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