Tissue-specific gene expression in obese hyperglycemic mice
Ob/ob mice are leptin-deficient animals with uninhibited food intake and susceptibility to gain weight and develop type 2 diabetes. The mice have been used to study obesity and diabetes. We generated a dataset of different tissue gene expressions from wild-type and ob/ob mice with a normal diet (ND)...
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Taylor & Francis Group
2022-12-01
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Online Access: | http://dx.doi.org/10.1080/26895293.2022.2078896 |
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author | Mahmoud Ahmed Omar Elashkar Jong Youl Lee Eun Ae Jeong Kyung Eun Kim Gu Seob Roh Deok Ryong Kim |
author_facet | Mahmoud Ahmed Omar Elashkar Jong Youl Lee Eun Ae Jeong Kyung Eun Kim Gu Seob Roh Deok Ryong Kim |
author_sort | Mahmoud Ahmed |
collection | DOAJ |
description | Ob/ob mice are leptin-deficient animals with uninhibited food intake and susceptibility to gain weight and develop type 2 diabetes. The mice have been used to study obesity and diabetes. We generated a dataset of different tissue gene expressions from wild-type and ob/ob mice with a normal diet (ND) or high-fat diet (HFD). The gene expression was profiled at a genome-scale using RNA-seq. We deposited the raw data to the short read archive and the processed data to the gene expression omnibus. In this manuscript, we describe generating the dataset and technical validation of the gene expression profiles. We assessed the quality of the reads, alignment, and the quantification of gene expression. We found that the tissue of origin explained the most variance between samples. Non-coding features differed in their contribution to the mice profiles. Gene expression profiles diverged between the experimental groups. To sum, this dataset can be used to study tissue-specific gene expression in weight gain susceptible mice and the response to HFD. |
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language | English |
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spelling | doaj.art-43d0f2bf0774430480b89904a1a6ad3f2024-03-28T09:48:50ZengTaylor & Francis GroupAll Life2689-53072022-12-0115155556110.1080/26895293.2022.20788962078896Tissue-specific gene expression in obese hyperglycemic miceMahmoud Ahmed0Omar Elashkar1Jong Youl Lee2Eun Ae Jeong3Kyung Eun Kim4Gu Seob Roh5Deok Ryong Kim6Department of Biochemistry and Convergence Medical Science, Institute of Health Sciences, College of Medicine, Gyeongsang National UniversityDepartment of Biochemistry and Convergence Medical Science, Institute of Health Sciences, College of Medicine, Gyeongsang National UniversityDepartment of Anatomy and Convergence Medical Science, Bio Anti-aging Medical Research Center, Institute of Health Sciences, College of Medicine, Gyeongsang National UniversityDepartment of Anatomy and Convergence Medical Science, Bio Anti-aging Medical Research Center, Institute of Health Sciences, College of Medicine, Gyeongsang National UniversityDepartment of Anatomy and Convergence Medical Science, Bio Anti-aging Medical Research Center, Institute of Health Sciences, College of Medicine, Gyeongsang National UniversityDepartment of Anatomy and Convergence Medical Science, Bio Anti-aging Medical Research Center, Institute of Health Sciences, College of Medicine, Gyeongsang National UniversityDepartment of Biochemistry and Convergence Medical Science, Institute of Health Sciences, College of Medicine, Gyeongsang National UniversityOb/ob mice are leptin-deficient animals with uninhibited food intake and susceptibility to gain weight and develop type 2 diabetes. The mice have been used to study obesity and diabetes. We generated a dataset of different tissue gene expressions from wild-type and ob/ob mice with a normal diet (ND) or high-fat diet (HFD). The gene expression was profiled at a genome-scale using RNA-seq. We deposited the raw data to the short read archive and the processed data to the gene expression omnibus. In this manuscript, we describe generating the dataset and technical validation of the gene expression profiles. We assessed the quality of the reads, alignment, and the quantification of gene expression. We found that the tissue of origin explained the most variance between samples. Non-coding features differed in their contribution to the mice profiles. Gene expression profiles diverged between the experimental groups. To sum, this dataset can be used to study tissue-specific gene expression in weight gain susceptible mice and the response to HFD.http://dx.doi.org/10.1080/26895293.2022.2078896gene-expressionob/ob-miceleptinobesityweigh-gaindiabetes |
spellingShingle | Mahmoud Ahmed Omar Elashkar Jong Youl Lee Eun Ae Jeong Kyung Eun Kim Gu Seob Roh Deok Ryong Kim Tissue-specific gene expression in obese hyperglycemic mice All Life gene-expression ob/ob-mice leptin obesity weigh-gain diabetes |
title | Tissue-specific gene expression in obese hyperglycemic mice |
title_full | Tissue-specific gene expression in obese hyperglycemic mice |
title_fullStr | Tissue-specific gene expression in obese hyperglycemic mice |
title_full_unstemmed | Tissue-specific gene expression in obese hyperglycemic mice |
title_short | Tissue-specific gene expression in obese hyperglycemic mice |
title_sort | tissue specific gene expression in obese hyperglycemic mice |
topic | gene-expression ob/ob-mice leptin obesity weigh-gain diabetes |
url | http://dx.doi.org/10.1080/26895293.2022.2078896 |
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