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Transcriptome Profiling of Human Ulcerative Colitis Mucosa Reveals Altered Expression of Pathways Enriched in Genetic Susceptibility Loci

Human colonic mucosa altered by inflammation due to ulcerative colitis (UC) displays a drastically altered pattern of gene expression compared with healthy tissue. We aimed to understand the underlying molecular pathways influencing these differences by analyzing three publically-available, independ...

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Autores principales: Cardinale, Christopher J., Wei, Zhi, Li, Jin, Zhu, Junfei, Gu, Mengnan, Baldassano, Robert N., Grant, Struan F. A., Hakonarson, Hakon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4006814/
https://www.ncbi.nlm.nih.gov/pubmed/24788701
http://dx.doi.org/10.1371/journal.pone.0096153
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author Cardinale, Christopher J.
Wei, Zhi
Li, Jin
Zhu, Junfei
Gu, Mengnan
Baldassano, Robert N.
Grant, Struan F. A.
Hakonarson, Hakon
author_facet Cardinale, Christopher J.
Wei, Zhi
Li, Jin
Zhu, Junfei
Gu, Mengnan
Baldassano, Robert N.
Grant, Struan F. A.
Hakonarson, Hakon
author_sort Cardinale, Christopher J.
collection PubMed
description Human colonic mucosa altered by inflammation due to ulcerative colitis (UC) displays a drastically altered pattern of gene expression compared with healthy tissue. We aimed to understand the underlying molecular pathways influencing these differences by analyzing three publically-available, independently-generated microarray datasets of gene expression from endoscopic biopsies of the colon. Gene set enrichment analysis (GSEA) revealed that all three datasets share 87 gene sets upregulated in UC lesions and 8 gene sets downregulated (false discovery rate <0.05). The upregulated pathways were dominated by gene sets involved in immune function and signaling, as well as the control of mitosis. We applied pathway analysis to genotype data derived from genome-wide association studies (GWAS) of UC, consisting of 5,584 cases and 11,587 controls assembled from eight European-ancestry cohorts. The upregulated pathways derived from the gene expression data showed a highly significant overlap with pathways derived from the genotype data (33 of 56 gene sets, hypergeometric P = 1.49×10(–19)). This study supports the hypothesis that heritable variation in gene expression as measured by GWAS signals can influence key pathways in the development of disease, and that comparison of genetic susceptibility loci with gene expression signatures can differentiate key drivers of inflammation from secondary effects on gene expression of the inflammatory process.
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spelling pubmed-40068142014-05-09 Transcriptome Profiling of Human Ulcerative Colitis Mucosa Reveals Altered Expression of Pathways Enriched in Genetic Susceptibility Loci Cardinale, Christopher J. Wei, Zhi Li, Jin Zhu, Junfei Gu, Mengnan Baldassano, Robert N. Grant, Struan F. A. Hakonarson, Hakon PLoS One Research Article Human colonic mucosa altered by inflammation due to ulcerative colitis (UC) displays a drastically altered pattern of gene expression compared with healthy tissue. We aimed to understand the underlying molecular pathways influencing these differences by analyzing three publically-available, independently-generated microarray datasets of gene expression from endoscopic biopsies of the colon. Gene set enrichment analysis (GSEA) revealed that all three datasets share 87 gene sets upregulated in UC lesions and 8 gene sets downregulated (false discovery rate <0.05). The upregulated pathways were dominated by gene sets involved in immune function and signaling, as well as the control of mitosis. We applied pathway analysis to genotype data derived from genome-wide association studies (GWAS) of UC, consisting of 5,584 cases and 11,587 controls assembled from eight European-ancestry cohorts. The upregulated pathways derived from the gene expression data showed a highly significant overlap with pathways derived from the genotype data (33 of 56 gene sets, hypergeometric P = 1.49×10(–19)). This study supports the hypothesis that heritable variation in gene expression as measured by GWAS signals can influence key pathways in the development of disease, and that comparison of genetic susceptibility loci with gene expression signatures can differentiate key drivers of inflammation from secondary effects on gene expression of the inflammatory process. Public Library of Science 2014-05-01 /pmc/articles/PMC4006814/ /pubmed/24788701 http://dx.doi.org/10.1371/journal.pone.0096153 Text en © 2014 Cardinale et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Cardinale, Christopher J.
Wei, Zhi
Li, Jin
Zhu, Junfei
Gu, Mengnan
Baldassano, Robert N.
Grant, Struan F. A.
Hakonarson, Hakon
Transcriptome Profiling of Human Ulcerative Colitis Mucosa Reveals Altered Expression of Pathways Enriched in Genetic Susceptibility Loci
title Transcriptome Profiling of Human Ulcerative Colitis Mucosa Reveals Altered Expression of Pathways Enriched in Genetic Susceptibility Loci
title_full Transcriptome Profiling of Human Ulcerative Colitis Mucosa Reveals Altered Expression of Pathways Enriched in Genetic Susceptibility Loci
title_fullStr Transcriptome Profiling of Human Ulcerative Colitis Mucosa Reveals Altered Expression of Pathways Enriched in Genetic Susceptibility Loci
title_full_unstemmed Transcriptome Profiling of Human Ulcerative Colitis Mucosa Reveals Altered Expression of Pathways Enriched in Genetic Susceptibility Loci
title_short Transcriptome Profiling of Human Ulcerative Colitis Mucosa Reveals Altered Expression of Pathways Enriched in Genetic Susceptibility Loci
title_sort transcriptome profiling of human ulcerative colitis mucosa reveals altered expression of pathways enriched in genetic susceptibility loci
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4006814/
https://www.ncbi.nlm.nih.gov/pubmed/24788701
http://dx.doi.org/10.1371/journal.pone.0096153
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