Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1142906 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR30142218.fastq.gz | Fastqsanger.gz | |||
| SRR30142219.fastq.gz | Fastqsanger.gz | |||
| SRR30142220.fastq.gz | Fastqsanger.gz | |||
| SRR30142221.fastq.gz | Fastqsanger.gz | |||
| SRR30142222.fastq.gz | Fastqsanger.gz |
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Project description:we comprehensively analyzed the whole transcriptome of the spleen from three important developmental nodes(30d, 90d and 210d) of Ningxiang pig (a Chinese indigenous breed). A total of 812, 364 and 865 differentially expressed (DE) mRNAs, 98, 37 and 97 DE miRNAs, 278, 220 and 271 DE lncRNAs, and 113, 96 and 96 DE circRNAs were identified between 90d and 30d, 210d and 30d, and 210d and 90d, respectively. And their molecular characterization, spatio temporal expression pattern, potential function and interaction with miRNAs were analyzed. Additionally, co-expression network analysis identified the potential non coding RNAs(ncRNAs) related to immunomodulation, e.g., ssc-miRNA-150, ssc-miRNA-497, MSTRG.24160, MSTRG.18646. Furthermore, our results also revealed that miRNAs and circRNAs may have evolved to regulate a large set of biological processes of Ningxiang pigs spleens, and circRNAs may play the role of miRNA sponges. Our study provides new insights into the expression changes of RNAs during the spleen development process of Chinese indigenous breed Ningxiang pigs, which might contribute to the phenotypic formation of immune function in Chinese native pig breeds. These results greatly improved our understanding of the molecular mechanisms which regulate the immune function of the spleen of Ningxiang pigs.
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Project description:we comprehensively analyzed the whole transcriptome of the spleen from three important developmental nodes(30d, 90d and 210d) of Ningxiang pig (a Chinese indigenous breed). A total of 812, 364 and 865 differentially expressed (DE) mRNAs, 98, 37 and 97 DE miRNAs, 278, 220 and 271 DE lncRNAs, and 113, 96 and 96 DE circRNAs were identified between 90d and 30d, 210d and 30d, and 210d and 90d, respectively. And their molecular characterization, spatio temporal expression pattern, potential function and interaction with miRNAs were analyzed. Additionally, co-expression network analysis identified the potential non coding RNAs(ncRNAs) related to immunomodulation, e.g., ssc-miRNA-150, ssc-miRNA-497, MSTRG.24160, MSTRG.18646. Furthermore, our results also revealed that miRNAs and circRNAs may have evolved to regulate a large set of biological processes of Ningxiang pigs spleens, and circRNAs may play the role of miRNA sponges. Our study provides new insights into the expression changes of RNAs during the spleen development process of Chinese indigenous breed Ningxiang pigs, which might contribute to the phenotypic formation of immune function in Chinese native pig breeds. These results greatly improved our understanding of the molecular mechanisms which regulate the immune function of the spleen of Ningxiang pigs.
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Project description:Mardinoglu2015 - Tissue-specific genome-scale
metabolic network - White fat
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:
MODEL1509220026.
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2015-11-04 | MODEL1509220026 | BioModels
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