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Time-course microarray analysis for identifying candidate genes involved in obesity-associated pathological changes in the mouse colon
BACKGROUND: Obesity is known to increase the risk of colorectal cancer. However, mechanisms underlying the pathogenesis of obesity-induced colorectal cancer are not completely understood. The purposes of this study were to identify differentially expressed genes in the colon of mice with diet-induce...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5120484/ https://www.ncbi.nlm.nih.gov/pubmed/27895803 http://dx.doi.org/10.1186/s12263-016-0547-x |
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author | Bae, Yun Jung Kim, Sung-Eun Hong, Seong Yeon Park, Taesun Lee, Sang Gyu Choi, Myung-Sook Sung, Mi-Kyung |
author_facet | Bae, Yun Jung Kim, Sung-Eun Hong, Seong Yeon Park, Taesun Lee, Sang Gyu Choi, Myung-Sook Sung, Mi-Kyung |
author_sort | Bae, Yun Jung |
collection | PubMed |
description | BACKGROUND: Obesity is known to increase the risk of colorectal cancer. However, mechanisms underlying the pathogenesis of obesity-induced colorectal cancer are not completely understood. The purposes of this study were to identify differentially expressed genes in the colon of mice with diet-induced obesity and to select candidate genes as early markers of obesity-associated abnormal cell growth in the colon. METHODS: C57BL/6N mice were fed normal diet (11% fat energy) or high-fat diet (40% fat energy) and were euthanized at different time points. Genome-wide expression profiles of the colon were determined at 2, 4, 8, and 12 weeks. Cluster analysis was performed using expression data of genes showing log(2) fold change of ≥1 or ≤−1 (twofold change), based on time-dependent expression patterns, followed by virtual network analysis. RESULTS: High-fat diet-fed mice showed significant increase in body weight and total visceral fat weight over 12 weeks. Time-course microarray analysis showed that 50, 47, 36, and 411 genes were differentially expressed at 2, 4, 8, and 12 weeks, respectively. Ten cluster profiles representing distinguishable patterns of genes differentially expressed over time were determined. Cluster 4, which consisted of genes showing the most significant alterations in expression in response to high-fat diet over 12 weeks, included Apoa4 (apolipoprotein A-IV), Ppap2b (phosphatidic acid phosphatase type 2B), Cel (carboxyl ester lipase), and Clps (colipase, pancreatic), which interacted strongly with surrounding genes associated with colorectal cancer or obesity. CONCLUSIONS: Our data indicate that Apoa4, Ppap2b, Cel, and Clps are candidate early marker genes associated with obesity-related pathological changes in the colon. Genome-wide analyses performed in the present study provide new insights on selecting novel genes that may be associated with the development of diseases of the colon. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12263-016-0547-x) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5120484 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-51204842016-11-28 Time-course microarray analysis for identifying candidate genes involved in obesity-associated pathological changes in the mouse colon Bae, Yun Jung Kim, Sung-Eun Hong, Seong Yeon Park, Taesun Lee, Sang Gyu Choi, Myung-Sook Sung, Mi-Kyung Genes Nutr Research BACKGROUND: Obesity is known to increase the risk of colorectal cancer. However, mechanisms underlying the pathogenesis of obesity-induced colorectal cancer are not completely understood. The purposes of this study were to identify differentially expressed genes in the colon of mice with diet-induced obesity and to select candidate genes as early markers of obesity-associated abnormal cell growth in the colon. METHODS: C57BL/6N mice were fed normal diet (11% fat energy) or high-fat diet (40% fat energy) and were euthanized at different time points. Genome-wide expression profiles of the colon were determined at 2, 4, 8, and 12 weeks. Cluster analysis was performed using expression data of genes showing log(2) fold change of ≥1 or ≤−1 (twofold change), based on time-dependent expression patterns, followed by virtual network analysis. RESULTS: High-fat diet-fed mice showed significant increase in body weight and total visceral fat weight over 12 weeks. Time-course microarray analysis showed that 50, 47, 36, and 411 genes were differentially expressed at 2, 4, 8, and 12 weeks, respectively. Ten cluster profiles representing distinguishable patterns of genes differentially expressed over time were determined. Cluster 4, which consisted of genes showing the most significant alterations in expression in response to high-fat diet over 12 weeks, included Apoa4 (apolipoprotein A-IV), Ppap2b (phosphatidic acid phosphatase type 2B), Cel (carboxyl ester lipase), and Clps (colipase, pancreatic), which interacted strongly with surrounding genes associated with colorectal cancer or obesity. CONCLUSIONS: Our data indicate that Apoa4, Ppap2b, Cel, and Clps are candidate early marker genes associated with obesity-related pathological changes in the colon. Genome-wide analyses performed in the present study provide new insights on selecting novel genes that may be associated with the development of diseases of the colon. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12263-016-0547-x) contains supplementary material, which is available to authorized users. BioMed Central 2016-11-22 /pmc/articles/PMC5120484/ /pubmed/27895803 http://dx.doi.org/10.1186/s12263-016-0547-x Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 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. |
spellingShingle | Research Bae, Yun Jung Kim, Sung-Eun Hong, Seong Yeon Park, Taesun Lee, Sang Gyu Choi, Myung-Sook Sung, Mi-Kyung Time-course microarray analysis for identifying candidate genes involved in obesity-associated pathological changes in the mouse colon |
title | Time-course microarray analysis for identifying candidate genes involved in obesity-associated pathological changes in the mouse colon |
title_full | Time-course microarray analysis for identifying candidate genes involved in obesity-associated pathological changes in the mouse colon |
title_fullStr | Time-course microarray analysis for identifying candidate genes involved in obesity-associated pathological changes in the mouse colon |
title_full_unstemmed | Time-course microarray analysis for identifying candidate genes involved in obesity-associated pathological changes in the mouse colon |
title_short | Time-course microarray analysis for identifying candidate genes involved in obesity-associated pathological changes in the mouse colon |
title_sort | time-course microarray analysis for identifying candidate genes involved in obesity-associated pathological changes in the mouse colon |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5120484/ https://www.ncbi.nlm.nih.gov/pubmed/27895803 http://dx.doi.org/10.1186/s12263-016-0547-x |
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