Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Comparative study on liver transcriptome of high and low altitude bar-headed geese

PROVIDER: PRJNA682510 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR13197219_1.fastq.gz	Fastqsanger.gz
	SRR13197219_2.fastq.gz	Fastqsanger.gz
	SRR13197220_1.fastq.gz	Fastqsanger.gz
	SRR13197220_2.fastq.gz	Fastqsanger.gz
	SRR13197221_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 12

Similar Datasets

Project description:Comparative study on lung transcriptome of high and low altitude bar-headed geese

| PRJNA682521 | ENA

Project description:Comparative analysis of the heart transcriptomes between high-altitude and low-altitude bar-headed geese

| PRJNA612653 | ENA

Comparative transcriptomic analysis provides insights into high-altitude adaptation

Project description:Purpose: High-altitude adaptive evolution of transcription, and the convergence and divergence of transcriptional alteration across species in response to high-altitude environments, is an important topic of broad interest to the general biology community. Our study aims to answer this important biological question. Methods: We generated deep transcriptome data of high- and low- altitude populations across four species: chicken, pig, goat and sheep, as well as high-altitude yak and low-altitude cattle, from six tissues (heart, kidney, liver, lung, skeletal muscle and spleen). Results: Here we provide a comprehensive comparative transcriptome landscape of expression and alternative splicing variation between low- and high-altitude populations across multiple species for distinct tissues. Conclusions: Our data serves a valuable resource for further study on adaptive transcription evolution and identification of candidate adaptive genes.

2017-09-06 | GSE93855 | GEO

viral metagenome

Project description:Fecal virome of bar-headed geese

| PRJNA1125500 | ENA

gut metagenome

Project description:Bar-headed geese faecal samples Metagenome

| PRJNA298497 | ENA

gut metagenome

Project description:Bar-headed geese faecal samples Metagenome

| PRJNA268131 | ENA

Comparative metabolomics analysis reveals high-altitude adaptations in a toad-headed viviparous lizard, Phrynocephalus vlangalii

Project description:Extreme environmental conditions at high altitude, such as hypobaric hypoxia, low temperature, and strong UV radiation, pose a great challenge to the survival of animals. Although the mechanisms of adaptation to high-altitude environments have attracted much attention for native plateau species, the underlying metabolic regulation remains unclear. Here, we used a multi-platform metabolomic analysis to compare metabolic profiles of liver between high- and low-altitude populations of toad-headed lizards, Phrynocephalus vlangalii, from the Qinghai-Tibet Plateau. A total of 191 differential metabolites were identified, consisting of 108 up-regulated and 83 down-regulated metabolites in high-altitude lizards as compared with values for low-altitude lizards. Pathway analysis revealed that the significantly different metabolites were associated with carbohydrate metabolism, amino acid metabolism, purine metabolism, and glycerolipid metabolism. Most intermediary metabolites of glycolysis and the tricarboxylic acid cycle were not significantly altered between the two altitudes, but most free fatty acids as well as β-hydroxybutyric acid were significantly lower in the high-altitude population. This may suggest that high-altitude lizards rely more on carbohydrates as their main energy fuel rather than lipids. Higher levels of phospholipids occurred in the liver of high-altitude populations, suggesting that membrane lipids may undergo adaptive remodeling in response to low-temperature stress at high altitude. In summary, this study demonstrates that metabolic profiles differ substantially between high- and low-altitude lizard populations, and that these differential metabolites and metabolic pathways can provide new insights to reveal mechanisms of adaptation to extreme environments at high altitude.

2024-01-16 | MTBLS6900 | MetaboLights

Wild Bar-headed geese gut metagenome

Project description:The first gut metagenome of wild Bar-headed geese

| PRJEB12153 | ENA

Project description:Liver transcriptome data of high and low altitude yak and low altitude cattle

| PRJNA1162664 | ENA

Genome-wide profiling of gene expression and DNA methylation provides insight into low-altitude acclimation in Tibetan pigs [DNA methylation]

Project description:To explore the exceptional mechanisms of gene expression and DNA methylation that are induced by low altitude environments in Tibetan pigs, we performed a comparative transcriptomic analysis of skeletal muscle in indigenous Tibetan pigs that reside in high altitude regions (～4,000 m) and their counterparts that migrated to the geographically neighboring low-altitude regions (～500 m) for nearly ten generations. We identified protein coding genes that related to hypoxia response (EGLN3 and FLT1), oxygen transport and energy metabolism (TFB2M), and two long non-coding RNAs (TCONS_00039686 and TCONS_00084992) that associated with the regulation of transcription and various nucleolus and organelle lumen, were differentially expressed between Tibetan pigs and their counterparts in low-altitude regions, thus might be the potential candidate regulators in skeletal muscle of low-altitude acclimation in Tibetan pigs. We also found genes embedded in differentially methylated regions between Tibetan pigs and their counterparts in low-altitude regions were mainly involved in ‘Starch and sucrose metabolism’, ‘glucuronosyltransferase activity’ processes, hypoxia and energy metabolism. We envision that this study will serve as a valuable resource for mammal acclimatization research and agricultural food industry.

2017-11-25 | GSE90510 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data