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Systems biology approach highlights mechanistic differences between Crohn’s disease and ulcerative colitis
The molecular mechanisms of IBD have been the subject of intensive exploration. We, therefore, assembled the available information into a suite of causal biological network models, which offer comprehensive visualization of the processes underlying IBD. Scientific text was curated by using Biologica...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8169754/ https://www.ncbi.nlm.nih.gov/pubmed/34075172 http://dx.doi.org/10.1038/s41598-021-91124-3 |
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author | Ruiz Castro, Pedro A. Yepiskoposyan, Hasmik Gubian, Sylvain Calvino-Martin, Florian Kogel, Ulrike Renggli, Kasper Peitsch, Manuel C. Hoeng, Julia Talikka, Marja |
author_facet | Ruiz Castro, Pedro A. Yepiskoposyan, Hasmik Gubian, Sylvain Calvino-Martin, Florian Kogel, Ulrike Renggli, Kasper Peitsch, Manuel C. Hoeng, Julia Talikka, Marja |
author_sort | Ruiz Castro, Pedro A. |
collection | PubMed |
description | The molecular mechanisms of IBD have been the subject of intensive exploration. We, therefore, assembled the available information into a suite of causal biological network models, which offer comprehensive visualization of the processes underlying IBD. Scientific text was curated by using Biological Expression Language (BEL) and compiled with OpenBEL 3.0.0. Network properties were analysed by Cytoscape. Network perturbation amplitudes were computed to score the network models with transcriptomic data from public data repositories. The IBD network model suite consists of three independent models that represent signalling pathways that contribute to IBD. In the “intestinal permeability” model, programmed cell death factors were downregulated in CD and upregulated in UC. In the “inflammation” model, PPARG, IL6, and IFN-associated pathways were prominent regulatory factors in both diseases. In the “wound healing” model, factors promoting wound healing were upregulated in CD and downregulated in UC. Scoring of publicly available transcriptomic datasets onto these network models demonstrated that the IBD models capture the perturbation in each dataset accurately. The IBD network model suite can provide better mechanistic insights of the transcriptional changes in IBD and constitutes a valuable tool in personalized medicine to further understand individual drug responses in IBD. |
format | Online Article Text |
id | pubmed-8169754 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-81697542021-06-02 Systems biology approach highlights mechanistic differences between Crohn’s disease and ulcerative colitis Ruiz Castro, Pedro A. Yepiskoposyan, Hasmik Gubian, Sylvain Calvino-Martin, Florian Kogel, Ulrike Renggli, Kasper Peitsch, Manuel C. Hoeng, Julia Talikka, Marja Sci Rep Article The molecular mechanisms of IBD have been the subject of intensive exploration. We, therefore, assembled the available information into a suite of causal biological network models, which offer comprehensive visualization of the processes underlying IBD. Scientific text was curated by using Biological Expression Language (BEL) and compiled with OpenBEL 3.0.0. Network properties were analysed by Cytoscape. Network perturbation amplitudes were computed to score the network models with transcriptomic data from public data repositories. The IBD network model suite consists of three independent models that represent signalling pathways that contribute to IBD. In the “intestinal permeability” model, programmed cell death factors were downregulated in CD and upregulated in UC. In the “inflammation” model, PPARG, IL6, and IFN-associated pathways were prominent regulatory factors in both diseases. In the “wound healing” model, factors promoting wound healing were upregulated in CD and downregulated in UC. Scoring of publicly available transcriptomic datasets onto these network models demonstrated that the IBD models capture the perturbation in each dataset accurately. The IBD network model suite can provide better mechanistic insights of the transcriptional changes in IBD and constitutes a valuable tool in personalized medicine to further understand individual drug responses in IBD. Nature Publishing Group UK 2021-06-01 /pmc/articles/PMC8169754/ /pubmed/34075172 http://dx.doi.org/10.1038/s41598-021-91124-3 Text en © The Author(s) 2021 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/) . |
spellingShingle | Article Ruiz Castro, Pedro A. Yepiskoposyan, Hasmik Gubian, Sylvain Calvino-Martin, Florian Kogel, Ulrike Renggli, Kasper Peitsch, Manuel C. Hoeng, Julia Talikka, Marja Systems biology approach highlights mechanistic differences between Crohn’s disease and ulcerative colitis |
title | Systems biology approach highlights mechanistic differences between Crohn’s disease and ulcerative colitis |
title_full | Systems biology approach highlights mechanistic differences between Crohn’s disease and ulcerative colitis |
title_fullStr | Systems biology approach highlights mechanistic differences between Crohn’s disease and ulcerative colitis |
title_full_unstemmed | Systems biology approach highlights mechanistic differences between Crohn’s disease and ulcerative colitis |
title_short | Systems biology approach highlights mechanistic differences between Crohn’s disease and ulcerative colitis |
title_sort | systems biology approach highlights mechanistic differences between crohn’s disease and ulcerative colitis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8169754/ https://www.ncbi.nlm.nih.gov/pubmed/34075172 http://dx.doi.org/10.1038/s41598-021-91124-3 |
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