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MicroRNA expression analysis in the liver of high fat diet-induced obese mice

A previous study indicated a causal link between certain miRNAs induced by obesity and the development of hepatic insulin resistance and type 2 diabetes. Here we provide accompanying data collected using Affymetrix GeneChip miRNAs microarrays to identify the changes in miRNAs expression in the liver...

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Autores principales: Yang, Won-Mo, Min, Kyung-Ho, Lee, Wan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5153443/
https://www.ncbi.nlm.nih.gov/pubmed/27995171
http://dx.doi.org/10.1016/j.dib.2016.11.081
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author Yang, Won-Mo
Min, Kyung-Ho
Lee, Wan
author_facet Yang, Won-Mo
Min, Kyung-Ho
Lee, Wan
author_sort Yang, Won-Mo
collection PubMed
description A previous study indicated a causal link between certain miRNAs induced by obesity and the development of hepatic insulin resistance and type 2 diabetes. Here we provide accompanying data collected using Affymetrix GeneChip miRNAs microarrays to identify the changes in miRNAs expression in the liver of mice fed a high fat diet (HFD). Differentially expressed microRNA analyses in the liver of the HFD-fed mice revealed a range of upregulated (>1.5-fold) or downregulated (<0.5-fold) miRNAs. Among those upregulated miRNAs, in silico target analysis, such as TargetScan, PicTar, and miRWalk, identified miRNAs with the putative binding sites on the 3’UTRs of INSR and/or IRS-1. Interpretation of the data and further extensive insights into the implication of miRNAs, particularly miR-15b, in hepatic insulin resistance can be found in "Obesity-induced miR-15b is linked causally to the development of insulin resistance through the repression of the insulin receptor in hepatocytes." (W.M. Yang, H.J. Jeong, S.W. Park, W. Lee, 2015)[1].
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spelling pubmed-51534432016-12-19 MicroRNA expression analysis in the liver of high fat diet-induced obese mice Yang, Won-Mo Min, Kyung-Ho Lee, Wan Data Brief Data Article A previous study indicated a causal link between certain miRNAs induced by obesity and the development of hepatic insulin resistance and type 2 diabetes. Here we provide accompanying data collected using Affymetrix GeneChip miRNAs microarrays to identify the changes in miRNAs expression in the liver of mice fed a high fat diet (HFD). Differentially expressed microRNA analyses in the liver of the HFD-fed mice revealed a range of upregulated (>1.5-fold) or downregulated (<0.5-fold) miRNAs. Among those upregulated miRNAs, in silico target analysis, such as TargetScan, PicTar, and miRWalk, identified miRNAs with the putative binding sites on the 3’UTRs of INSR and/or IRS-1. Interpretation of the data and further extensive insights into the implication of miRNAs, particularly miR-15b, in hepatic insulin resistance can be found in "Obesity-induced miR-15b is linked causally to the development of insulin resistance through the repression of the insulin receptor in hepatocytes." (W.M. Yang, H.J. Jeong, S.W. Park, W. Lee, 2015)[1]. Elsevier 2016-12-01 /pmc/articles/PMC5153443/ /pubmed/27995171 http://dx.doi.org/10.1016/j.dib.2016.11.081 Text en © 2016 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Yang, Won-Mo
Min, Kyung-Ho
Lee, Wan
MicroRNA expression analysis in the liver of high fat diet-induced obese mice
title MicroRNA expression analysis in the liver of high fat diet-induced obese mice
title_full MicroRNA expression analysis in the liver of high fat diet-induced obese mice
title_fullStr MicroRNA expression analysis in the liver of high fat diet-induced obese mice
title_full_unstemmed MicroRNA expression analysis in the liver of high fat diet-induced obese mice
title_short MicroRNA expression analysis in the liver of high fat diet-induced obese mice
title_sort microrna expression analysis in the liver of high fat diet-induced obese mice
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5153443/
https://www.ncbi.nlm.nih.gov/pubmed/27995171
http://dx.doi.org/10.1016/j.dib.2016.11.081
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