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| Status |
Public on Sep 13, 2020 |
| Title |
RNA-seq from the liver and ileum of mice on ND, WD, and WD with either Lactobacillus gasseri or Lactobacillus johnsonii |
| Organism |
Mus musculus |
| Experiment type |
Expression profiling by high throughput sequencing
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| Summary |
Type 2 diabetes (T2D), the most common form of diabetes, is one of the leading causes of death in the USA. Diet, genetics, environment, and the gut microbes are important factors causing T2D. However, the exactmechanisms by which these factors induce the disease are still unclear. Western diet-induced obesity mimicked the conditions of metabolic syndrome and T2D in mice. Concurrent changes in the bacterial abundance and composition in ileum and stool of mice indicated that the metabolic alterations are associated with microbes.Using a transkingdom network and causal inference analysis, we identified candidate microbes that can potentially mediate changes in metabolic health. In line with our predictions, supplementing mice with the beneficial microbial candidates ameliorated diet induced diabetes in mice. Transcriptomic studies showed that these microbes improved metabolic parameters by regulating mitochondrial processes in the liver. Using systems biology network analyses, followed by experimental validation, we identified key microbes and pathways regulating glucose metabolism. This research aims to uncover the mechanisms of microbiota dependent glucose metabolism to advance treatment of T2D.
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| Overall design |
RNA-seq from the liver and ileum of mice on ND, WD, and WD with either Lactobacillus gasseri or Lactobacillus johnsonii.
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| Web link |
https://www.nature.com/articles/s41467-020-20313-x
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| Contributor(s) |
Morgun A, Shulzhenko N |
| Citation(s) |
33397942 |
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| Submission date |
Aug 19, 2019 |
| Last update date |
Feb 14, 2022 |
| Contact name |
Andrey Morgun |
| E-mail(s) |
Andriy.Morgun@oregonstate.edu
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| Phone |
541-737-8047
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| Organization name |
Oregon State University
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| Street address |
1601 SW Jefferson Way
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| City |
Corvallis |
| State/province |
OR |
| ZIP/Postal code |
97331 |
| Country |
USA |
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| Platforms (1) |
| GPL19057 |
Illumina NextSeq 500 (Mus musculus) |
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| Samples (49)
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| Relations |
| BioProject |
PRJNA560977 |
| SRA |
SRP218866 |
| Supplementary file |
Size |
Download |
File type/resource |
| GSE136033_rel_mill.txt.gz |
3.5 Mb |
(ftp)(http) |
TXT |
SRA Run Selector |
| Raw data are available in SRA |
| Processed data are available on Series record |
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