Time-course microarray analysis for identifying candidate genes involved in obesity-associated pathological changes in the mouse colon. Issue 1 (December 2016)
- Record Type:
- Journal Article
- Title:
- Time-course microarray analysis for identifying candidate genes involved in obesity-associated pathological changes in the mouse colon. Issue 1 (December 2016)
- Main Title:
- Time-course microarray analysis for identifying candidate genes involved in obesity-associated pathological changes in the mouse colon
- Authors:
- Bae, Yun
Kim, Sung-Eun
Hong, Seong
Park, Taesun
Lee, Sang
Choi, Myung-Sook
Sung, Mi-Kyung - Abstract:
- Abstract 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 log2 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, includedApoa4 (apolipoprotein A-IV), Ppap2b (phosphatidic acid phosphatase type 2B), Cel (carboxyl ester lipase), andClps (colipase,Abstract 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 log2 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, includedApoa4 (apolipoprotein A-IV), Ppap2b (phosphatidic acid phosphatase type 2B), Cel (carboxyl ester lipase), andClps (colipase, pancreatic), which interacted strongly with surrounding genes associated with colorectal cancer or obesity. Conclusions Our data indicate thatApoa4, Ppap2b, Cel, andClps 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. … (more)
- Is Part Of:
- Genes & nutrition. Volume 11:Issue 1(2016)
- Journal:
- Genes & nutrition
- Issue:
- Volume 11:Issue 1(2016)
- Issue Display:
- Volume 11, Issue 1 (2016)
- Year:
- 2016
- Volume:
- 11
- Issue:
- 1
- Issue Sort Value:
- 2016-0011-0001-0000
- Page Start:
- 1
- Page End:
- 12
- Publication Date:
- 2016-12
- Subjects:
- Obesity -- Colorectal cancer -- Time-course microarray analysis -- Gene expression -- Clustering -- Virtual network analysis
Nutrition -- Genetic aspects -- Periodicals
612.3 - Journal URLs:
- http://link.springer.com/journal/12263 ↗
http://www.springer.com/gb/ ↗
http://genesandnutrition.biomedcentral.com/ ↗ - DOI:
- 10.1186/s12263-016-0547-x ↗
- Languages:
- English
- ISSNs:
- 1555-8932
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4111.762250
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