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| 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
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| 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.
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| 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.
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| Contributor(s) |
Xiong L, Wu L |
| Citation missing |
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| Submission date |
Nov 01, 2019 |
| Last update date |
Nov 01, 2022 |
| Contact name |
Li Xiong |
| E-mail(s) |
xiongl8@mail2.sysu.edu.cn
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| Phone |
86-020-87755766-8450
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| Organization name |
The First Affiliated Hospital of Sun Yat-sen University
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| Department |
Department of Endocrinology
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| Street address |
58 Zhongshan Road 2
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| City |
Guangzhou |
| State/province |
Guangdong |
| ZIP/Postal code |
510080 |
| Country |
China |
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| Platforms (1) |
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| Samples (2) |
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| Relations |
| BioProject |
PRJNA587103 |
| SRA |
SRP227938 |
