Data on differentially expressed microRNAs in the liver between nonalcoholic fatty liver disease and normal Wistar rat using Solexa sequencing

The dataset includes data from the Solexa sequencing reported in our paper: “Identification and differential expression of microRNAs associated with fat deposition in the liver of Wistar rats with nonalcoholic fatty liver disease” [1]. The data collected include small RNAs and microRNAs in liver tis...

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Detalles Bibliográficos
Autores principales: Zhang, Deqing, Wang, Yuqian, Ji, Zhibin, Wang, Zhonghua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Data Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4906032/
https://www.ncbi.nlm.nih.gov/pubmed/27331102
http://dx.doi.org/10.1016/j.dib.2016.05.041
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author Zhang, Deqing
Wang, Yuqian
Ji, Zhibin
Wang, Zhonghua
author_facet Zhang, Deqing
Wang, Yuqian
Ji, Zhibin
Wang, Zhonghua
author_sort Zhang, Deqing
collection PubMed
description The dataset includes data from the Solexa sequencing reported in our paper: “Identification and differential expression of microRNAs associated with fat deposition in the liver of Wistar rats with nonalcoholic fatty liver disease” [1]. The data collected include small RNAs and microRNAs in liver tissue from high glucose-induced NAFLD Wistar rats, using normal Wistar rats as their negative controls. 6 small RNA libraries were constructed and the expression profiles were compared between the two groups. Here we describe in detail how the data, deposited in the Gene Expression Omnibus (GEO) with the accession number GEO: GSE68411, was generated including the basic analysis.
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spelling pubmed-49060322016-06-21 Data on differentially expressed microRNAs in the liver between nonalcoholic fatty liver disease and normal Wistar rat using Solexa sequencing Zhang, Deqing Wang, Yuqian Ji, Zhibin Wang, Zhonghua Data Brief Data Article The dataset includes data from the Solexa sequencing reported in our paper: “Identification and differential expression of microRNAs associated with fat deposition in the liver of Wistar rats with nonalcoholic fatty liver disease” [1]. The data collected include small RNAs and microRNAs in liver tissue from high glucose-induced NAFLD Wistar rats, using normal Wistar rats as their negative controls. 6 small RNA libraries were constructed and the expression profiles were compared between the two groups. Here we describe in detail how the data, deposited in the Gene Expression Omnibus (GEO) with the accession number GEO: GSE68411, was generated including the basic analysis. Elsevier 2016-05-24 /pmc/articles/PMC4906032/ /pubmed/27331102 http://dx.doi.org/10.1016/j.dib.2016.05.041 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
Zhang, Deqing
Wang, Yuqian
Ji, Zhibin
Wang, Zhonghua
Data on differentially expressed microRNAs in the liver between nonalcoholic fatty liver disease and normal Wistar rat using Solexa sequencing
title Data on differentially expressed microRNAs in the liver between nonalcoholic fatty liver disease and normal Wistar rat using Solexa sequencing
title_full Data on differentially expressed microRNAs in the liver between nonalcoholic fatty liver disease and normal Wistar rat using Solexa sequencing
title_fullStr Data on differentially expressed microRNAs in the liver between nonalcoholic fatty liver disease and normal Wistar rat using Solexa sequencing
title_full_unstemmed Data on differentially expressed microRNAs in the liver between nonalcoholic fatty liver disease and normal Wistar rat using Solexa sequencing
title_short Data on differentially expressed microRNAs in the liver between nonalcoholic fatty liver disease and normal Wistar rat using Solexa sequencing
title_sort data on differentially expressed micrornas in the liver between nonalcoholic fatty liver disease and normal wistar rat using solexa sequencing
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4906032/
https://www.ncbi.nlm.nih.gov/pubmed/27331102
http://dx.doi.org/10.1016/j.dib.2016.05.041
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