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Series GSE139823 Query DataSets for GSE139823
Status Public on Nov 01, 2022
Title Next-generation sequencing facilitates quantitative analysis of wild type and diabetic db/db mice islets transcriptomes
Organism Mus musculus
Experiment type Non-coding RNA profiling by high throughput sequencing
Expression profiling by high throughput sequencing
Summary Long non-coding RNAs (LncRNAs) constitute an extensive fraction of the mammalian transcriptome. In this study, lncRNAs dysregulated in the islets of diabetic db/db mice were identified by high-throughput RNA sequencing. More than 1600 lncRNAs were detected using RNA sequencing, indicating that lncRNAs were abundant in islets. Among them, we found that lncRNA-Malat1 was significantly reduced in diabetic mouse islets. Further experiments suggested an involvement of lncRNA-Malat1 in lipotoxicity-induced β-cell dysfunction.
Overall design Islet lncRNAs and mRNA profiling in db/db and db/m control mice were generated by deep sequencing, in triplicate, using Illumina Hiseq.
Contributor(s) Xiong L, Wu L
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Submission date Nov 01, 2019
Last update date Nov 01, 2022
Contact name Li Xiong
Phone 86-020-87755766-8450
Organization name The First Affiliated Hospital of Sun Yat-sen University
Department Department of Endocrinology
Street address 58 Zhongshan Road 2
City Guangzhou
State/province Guangdong
ZIP/Postal code 510080
Country China
Platforms (1)
GPL21273 HiSeq X Ten (Mus musculus)
Samples (2)
GSM4146958 db/db4
GSM4146959 db/m4
BioProject PRJNA587103
SRA SRP227938

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Supplementary file Size Download File type/resource
GSE139823_all.counts.exp.txt.gz 209.7 Kb (ftp)(http) TXT
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