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Multi-factor mediated functional modules identify novel classification of ulcerative colitis and functional gene panel

Ulcerative colitis is a chronic, idiopathic, and inflammatory disease of the rectal and colonic mucosa, the behavior of which is of heterogeneity in individuals. Here, we explored the multifactor-mediated functional modules associated with ulcerative colitis classification in the whole genome. Datas...

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Autores principales: Lai, Lijie, Li, Hanyang, Feng, Qi, Shen, Jun, Ran, Zhihua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7952401/
https://www.ncbi.nlm.nih.gov/pubmed/33707495
http://dx.doi.org/10.1038/s41598-021-85000-3
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author Lai, Lijie
Li, Hanyang
Feng, Qi
Shen, Jun
Ran, Zhihua
author_facet Lai, Lijie
Li, Hanyang
Feng, Qi
Shen, Jun
Ran, Zhihua
author_sort Lai, Lijie
collection PubMed
description Ulcerative colitis is a chronic, idiopathic, and inflammatory disease of the rectal and colonic mucosa, the behavior of which is of heterogeneity in individuals. Here, we explored the multifactor-mediated functional modules associated with ulcerative colitis classification in the whole genome. Datasets downloaded from the GEO database were used to identify differentially expressed genes between ulcerative colitis patients and healthy individuals initially, followed by acquisition of the remaining ulcerative colitis -related genes from the OMIM and STRING databases. The results identified 914 ulcerative colitis-related genes, of which 60 were differentially expressed genes obtained from GEO datasets. Through weighted co-expression network analysis of ulcerative colitis-related genes, four modules were obtained, three of which were related to ulcerative colitis. Following interactions between microRNA, long noncoding RNA, transcription factors, and module hub genes were predicted and used to construct ulcerative colitis multifactor networks. Additionally, we performed consensus clustering of the ulcerative colitis samples. The results revealed that ulcerative colitis could be divided into four subtypes, with six hub genes identified as potential biomarkers for classification. These findings offer novel insights into ulcerative colitis and a basis for disease classification of ulcerative colitis.
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spelling pubmed-79524012021-03-12 Multi-factor mediated functional modules identify novel classification of ulcerative colitis and functional gene panel Lai, Lijie Li, Hanyang Feng, Qi Shen, Jun Ran, Zhihua Sci Rep Article Ulcerative colitis is a chronic, idiopathic, and inflammatory disease of the rectal and colonic mucosa, the behavior of which is of heterogeneity in individuals. Here, we explored the multifactor-mediated functional modules associated with ulcerative colitis classification in the whole genome. Datasets downloaded from the GEO database were used to identify differentially expressed genes between ulcerative colitis patients and healthy individuals initially, followed by acquisition of the remaining ulcerative colitis -related genes from the OMIM and STRING databases. The results identified 914 ulcerative colitis-related genes, of which 60 were differentially expressed genes obtained from GEO datasets. Through weighted co-expression network analysis of ulcerative colitis-related genes, four modules were obtained, three of which were related to ulcerative colitis. Following interactions between microRNA, long noncoding RNA, transcription factors, and module hub genes were predicted and used to construct ulcerative colitis multifactor networks. Additionally, we performed consensus clustering of the ulcerative colitis samples. The results revealed that ulcerative colitis could be divided into four subtypes, with six hub genes identified as potential biomarkers for classification. These findings offer novel insights into ulcerative colitis and a basis for disease classification of ulcerative colitis. Nature Publishing Group UK 2021-03-11 /pmc/articles/PMC7952401/ /pubmed/33707495 http://dx.doi.org/10.1038/s41598-021-85000-3 Text en © The Author(s) 2021 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/.
spellingShingle Article
Lai, Lijie
Li, Hanyang
Feng, Qi
Shen, Jun
Ran, Zhihua
Multi-factor mediated functional modules identify novel classification of ulcerative colitis and functional gene panel
title Multi-factor mediated functional modules identify novel classification of ulcerative colitis and functional gene panel
title_full Multi-factor mediated functional modules identify novel classification of ulcerative colitis and functional gene panel
title_fullStr Multi-factor mediated functional modules identify novel classification of ulcerative colitis and functional gene panel
title_full_unstemmed Multi-factor mediated functional modules identify novel classification of ulcerative colitis and functional gene panel
title_short Multi-factor mediated functional modules identify novel classification of ulcerative colitis and functional gene panel
title_sort multi-factor mediated functional modules identify novel classification of ulcerative colitis and functional gene panel
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7952401/
https://www.ncbi.nlm.nih.gov/pubmed/33707495
http://dx.doi.org/10.1038/s41598-021-85000-3
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