Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1189035 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR31431275_1.fastq.gz | Fastqsanger.gz | |||
| SRR31431275_2.fastq.gz | Fastqsanger.gz | |||
| SRR31431276_1.fastq.gz | Fastqsanger.gz | |||
| SRR31431276_2.fastq.gz | Fastqsanger.gz | |||
| SRR31431277_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 18 |
Similar Datasets
Project description:Transcriptome analysis of liver tissue in HBV - associated liver fibrosis mice
| PRJNA377098 | ENA
Project description:Mammals rely on a network of circadian clocks to control daily systemic metabolism and physiology. The central pacemaker in the suprachiasmatic nucleus (SCN) is considered hierarchically dominant over peripheral clocks, whose degree of independence, or tissue-level autonomy, has never been ascertained in vivo. Using arrhythmic Bmal1-null mice, we generated animals with reconstituted circadian expression of BMAL1 exclusively in the liver (Liver-RE). High-throughput transcriptomics and metabolomics show that the liver has independent circadian functions specific for metabolic processes such as the NAD+ salvage pathway and glycogen turnover. However, although BMAL1 occupies chromatin at most genomic targets in Liver-RE mice, circadian expression is restricted to ∼10% of normally rhythmic transcripts. Finally, rhythmic clock gene expression is lost in Liver-RE mice under constant darkness. Hence, full circadian function in the liver depends on signals emanating from other clocks, and light contributes to tissue-autonomous clock function.
2019-06-13 | GSE132659 | GEO
Project description:ER stress could affect many tissues, especially liver, in which non-alcoholic fatty liver disease, liver steatosis, etc. have been reported relative. But there still lack systematic insight into ER stress in liver, which can be obtained by transcriptomics of the tissue. Here, tunicamycin was utilized to induce ER stress in C57BL/6N mice. And microarray was performed to get the transcriptome alteration. Microarray of liver from tunicamycin-injected C57Bl/6N mice
2021-02-23 | GSE167299 | GEO
Project description:ob mice liver tissue sequencing
| PRJEB4599 | ENA
Project description:Hepatic fat accumulation has been widely associated with diabetes and hepatocellular carcinoma (HCC). Here, we aim to characterize the metabolic response that high fat availability elicits in livers prior to development of these diseases. We find that, after a short term on high fat diet, otherwise healthy mice show elevated hepatic glucose metabolization, activated glucose uptake, glycolysis and glucose contribution to serine as well as elevated pyruvate carboxylase activity compared to control diet mice. To understand other changes in the liver tissue after high fat diet exposure, we conducted untargeted transcriptomics and proteomics. This glucose phenotype occurred independent from transcriptional or proteomic programming, which identified increased peroxisomal and lipid metabolism pathways. Interestingly, we observe that high fat diet fed mice exhibit an increased lactate production when challenged with glucose. This trait seems to find a parallel in a human cohort, where we observe a correlation between waist circumference and lactate secretion after an oral glucose bolus across healthy individuals. In an in vitro model of hepatoma cells, we found physiologically relevant palmitate exposure stimulated production of reactive oxygen species (ROS) and glucose uptake, a similar glycolytic phenotype to the in vivo study. This effect is inhibited upon interference with peroxisomal lipid metabolism and ROS production. Furthermore, we find that with exposure to an HCC-inducing hepatic carcinogen, continuation of high fat diet enhances the formation of HCC (100% with resectable tumors) as compared to control (50% with resectable tumors) in mice. However, regardless of the dietary background, all murine tumors showed similar alterations in glucose metabolism compared to those identified in fat exposed non-transformed mouse livers. Further, the presence of tumors in high fat diet exposed mice normalized glucose tolerance. Lipidomics analysis of tumor tissue and liver tissue from high fat diet exposed mice identified tumor tissue enrichment of diacylglycerol (DG) and phosphatidylcholine (PC) species. Some of these species were also increased in high fat diet liver tissue compared to control diet liver tissue. These findings suggest that fat can induce similar metabolic changes in non-transformed liver cells than found in HCC, and that peroxisomal metabolism of lipids may be a factor in driving a glycolytic metabolism In conclusion, we show that normal, non-transformed livers respond to fat by inducing glucose metabolism.
2021-03-08 | PXD023848 | Pride
Project description:Mardinoglu2015 - Tissue-specific genome-scale
metabolic network - Liver
This model is described in the article:
The gut microbiota modulates
host amino acid and glutathione metabolism in mice.
Mardinoglu A, Shoaie S, Bergentall
M, Ghaffari P, Zhang C, Larsson E, Bäckhed F, Nielsen
J.
Mol. Syst. Biol. 2015; 11(10):
834
Abstract:
The gut microbiota has been proposed as an environmental
factor that promotes the progression of metabolic diseases.
Here, we investigated how the gut microbiota modulates the
global metabolic differences in duodenum, jejunum, ileum,
colon, liver, and two white adipose tissue depots obtained from
conventionally raised (CONV-R) and germ-free (GF) mice using
gene expression data and tissue-specific genome-scale metabolic
models (GEMs). We created a generic mouse metabolic reaction
(MMR) GEM, reconstructed 28 tissue-specific GEMs based on
proteomics data, and manually curated GEMs for small intestine,
colon, liver, and adipose tissues. We used these functional
models to determine the global metabolic differences between
CONV-R and GF mice. Based on gene expression data, we found
that the gut microbiota affects the host amino acid (AA)
metabolism, which leads to modifications in glutathione
metabolism. To validate our predictions, we measured the level
of AAs and N-acetylated AAs in the hepatic portal vein of
CONV-R and GF mice. Finally, we simulated the metabolic
differences between the small intestine of the CONV-R and GF
mice accounting for the content of the diet and relative gene
expression differences. Our analyses revealed that the gut
microbiota influences host amino acid and glutathione
metabolism in mice.
This model is hosted on
BioModels Database
and identified by:
MODEL1509220029.
To cite BioModels Database, please use:
BioModels Database:
An enhanced, curated and annotated resource for published
quantitative kinetic models.
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to
the public domain worldwide. Please refer to
CC0
Public Domain Dedication for more information.
2015-11-04 | MODEL1509220029 | BioModels
Project description:Mardinoglu2015 - Tissue-specific genome-scale
metabolic network - Liver
This model is described in the article:
The gut microbiota modulates
host amino acid and glutathione metabolism in mice.
Mardinoglu A, Shoaie S, Bergentall
M, Ghaffari P, Zhang C, Larsson E, Bäckhed F, Nielsen
J.
Mol. Syst. Biol. 2015; 11(10):
834
Abstract:
The gut microbiota has been proposed as an environmental
factor that promotes the progression of metabolic diseases.
Here, we investigated how the gut microbiota modulates the
global metabolic differences in duodenum, jejunum, ileum,
colon, liver, and two white adipose tissue depots obtained from
conventionally raised (CONV-R) and germ-free (GF) mice using
gene expression data and tissue-specific genome-scale metabolic
models (GEMs). We created a generic mouse metabolic reaction
(MMR) GEM, reconstructed 28 tissue-specific GEMs based on
proteomics data, and manually curated GEMs for small intestine,
colon, liver, and adipose tissues. We used these functional
models to determine the global metabolic differences between
CONV-R and GF mice. Based on gene expression data, we found
that the gut microbiota affects the host amino acid (AA)
metabolism, which leads to modifications in glutathione
metabolism. To validate our predictions, we measured the level
of AAs and N-acetylated AAs in the hepatic portal vein of
CONV-R and GF mice. Finally, we simulated the metabolic
differences between the small intestine of the CONV-R and GF
mice accounting for the content of the diet and relative gene
expression differences. Our analyses revealed that the gut
microbiota influences host amino acid and glutathione
metabolism in mice.
This model is hosted on
BioModels Database
and identified by:
MODEL1509220017.
To cite BioModels Database, please use:
BioModels Database:
An enhanced, curated and annotated resource for published
quantitative kinetic models.
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to
the public domain worldwide. Please refer to
CC0
Public Domain Dedication for more information.
2015-11-04 | MODEL1509220017 | BioModels