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| Status |
Public on Feb 18, 2020 |
| Title |
Liver high-throughput sequencing of high-fat C57BL/6J wild-type mice |
| Organism |
Mus musculus |
| Experiment type |
Expression profiling by high throughput sequencing
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| Summary |
Eight weeks after C57BL / 6J mice fed a high-fat diet (HFD), the degree of insulin resistance was assessed by intraperitoneal glucose tolerance test (IPGTT) and the insulin resistance model was successfully established. Mice were then treated with resveratrol and metformin for 6 weeks and blood and liver tissue samples were collected. Blood biochemical parameters were determined by kit, protein expression of hepatic insulin signaling pathway mRNA and mRNA was determined by Western blot and real-time polymerase chain reaction, and histomorphological changes were observed by histological staining. Mouse liver tissue samples were detected by high-throughput sequencing technology to obtain differential lncRNA expression profiles. Further differentially expressed genes were analyzed using bioinformatics techniques.
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| Overall design |
Mice were divided into 4 groups, the livers were removed, snap frozen on dry ice, and RNA was harvested using Trizol reagent. Clusters were generated by cBot, diluted to a 10 pM library, and then sequenced on an Illumina NovaSeq 6000 (Illumina, USA).
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| Contributor(s) |
Shu L |
| Citation(s) |
32051733, 32627012, 34581420 |
| Submission date |
Sep 23, 2019 |
| Last update date |
Oct 13, 2021 |
| Contact name |
Linyi Shu |
| E-mail(s) |
lining@linwanbio.com
|
| Organization name |
Hebei General Hospital
|
| Department |
Department of Endocrinology
|
| Street address |
348 Heping West Road
|
| City |
Shijiazhuang |
| State/province |
Hebei |
| ZIP/Postal code |
050000 |
| Country |
China |
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| Platforms (1) |
| GPL24247 |
Illumina NovaSeq 6000 (Mus musculus) |
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| Samples (16)
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| This SubSeries is part of SuperSeries: |
| GSE178474 |
Whole transcriptome analysis of resveratrol and metformin improving high fat diet induced insulin resistance in liver and muscle |
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| Relations |
| BioProject |
PRJNA573644 |
| SRA |
SRP222955 |
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