Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Transcriptome analysis of sheep liver

PROVIDER: PRJNA792689 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR17344613.fastq.gz	Fastqsanger.gz
	SRR17344614.fastq.gz	Fastqsanger.gz
	SRR17344615.fastq.gz	Fastqsanger.gz
	SRR17344616.fastq.gz	Fastqsanger.gz
	SRR17344617.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 6

Similar Datasets

ovis

Project description:transcriptome analysis in liver of sheep

| PRJNA791158 | ENA

Project description:Transcriptome analysis of Hu sheep liver

| PRJNA1260664 | ENA

Identifying potential hepatic genes regulating the ovine response to gastrointestinal nematodes using RNA-Sequencing

Project description:Gastrointestinal nematode (GIN) infections are considered the most important disease of grazing sheep. Due to increasing anthelmintic resistance, chemical control alone is inadequate. Resistance to GIN infection is a heritable trait, and through natural selection many sheep breeds have higher resistance. Studying the transcriptome from GIN-exposed and GIN-unexposed sheep using RNA-Sequencing technology can provide measurements of transcript levels associated with the host response to GIN infection, and these transcripts may harbor genetic markers that can be used in selective breeding programs to enhance disease resistance. The objective of this study was to compare liver transcriptomes of sheep naturally exposed to GINs, with either high or low parasite burdens, to GIN-unexposed control sheep in order to identify key regulator genes and biological processes associated with GIN infection. Differential gene expression analysis revealed no significant differentially expressed genes (DEG) between sheep with a high or low parasite burden (P-value ≤ 0.01; False Discovery Rate (FDR) ≤ 0.05; and Fold-Change (FC) of > 2). However, when compared to the control group, low parasite burden sheep showed 159 DEG, and high parasite burden sheep showed 146 DEG (P-value ≤ 0.01; FDR ≤ 0.05; and FC of > 2). Among these two lists of significant DEG, 86 DEG were found in common between the two parasite burden groups compared to the control (GIN-unexposed sheep). Functional analysis of these significant 86 DEG found upregulated genes involved in immune response and downregulated genes involved in lipid metabolism. Results of this study offer insight into the liver transcriptome during natural GIN exposure that helps provide a better understanding of the key regulator genes involved in GIN infection in sheep.

2023-02-10 | GSE224936 | GEO

Comparative transcriptome analysis reveals genes associated with variation in liver copper concentration in Polish-Merino sheep

Project description:The aim of this study is to assess the transcriptome for genes that are differentially expresed in liver tissues with high or low liver copper concentration in sheep. Therefore, 12 liver samples high and low liver copper were selected and grouped equally into high liver copper and low liver copper groups.

2025-03-02 | E-MTAB-14752 | biostudies-arrayexpress

Project description:Sheep liver transcriptome with LPS

| PRJNA1196424 | ENA

Project description:liver transcriptome on hu sheep

| PRJNA1076854 | ENA

Project description:Ovis aries(Hu sheep) liver transcriptome

| PRJNA822707 | ENA

Transcriptome sequencing unveils a novel mechanism underlying breed distinctions between thin- and fat-tailed sheep

Project description:Tail fat in sheep (Ovis aries), has evolved mainly in response to cold weather for better energy storage. As things stand, too much tail fat in sheep can lead to a reduction in feed utilisation and is also unpopular with consumers due to the excessive fat content in the tail of sheep. Therefore, the need to find the mechanism of tail fat formation is obvious. In this study, we elected to utilise Kazakh sheep, prolific Suffolk sheep, and their hybrid F2 generation as research objects. Sheep transcriptome sequencing technology was employed to screen and explore target candidate genes related to sheep tail fat deposition. Comparison with RNA-seq data from fat-tailed and thin-tailed tissue, the LncRNA-mRNA-miRNA axis was identified as main functional pathway in the formation of fat in tail. Our results offer valuable insights into the fat deposition of sheep and provide a significant genomic resource for future genetic studies and the enhancement of genome-assisted breeding in sheep and other domestic animals.

2025-02-28 | GSE290403 | GEO

Transcriptomic analysis of lung development in the sheep

Project description:Much of our understanding of human lung development is based on earlier physiological studies in the sheep. Here we investigate lung development in wild-type sheep by transcriptomic analysis of proximal and distal lung tissue from day 65 to term (147 days). We also document the transcriptome of lung development at the same time points in the CF sheep model, enabling comparative studies of the impact of CF on the lung before birth,

2025-04-21 | GSE202019 | GEO

Immunomodulatory induced by Cathepsin L1 vaccine in sheep infected with Fasciola hepatica.

Project description:Liver fluke (Fasciola hepatica) infection is both a welfare and productivity issue in sheep farming. Death can result from acute infection, and deaths are becoming more frequent as anthelmintic resistance increases. New control strategies are desirable, and vaccination is a good option. Previous studies have shown an experimental vaccine based on a F. hepatica protein, cathepsin L1, (rmFhCL1) may be a viable aid to control liver fluke in cattle/sheep, however efficacy is variable. A trial was conducted on sheep immunized with rmFhCL1 following infection with F. hepatica to understand the immune response changes induced by vaccinination at a molecular level . Peripheral blood mononuclear cells (PBMCs) were isolated at four different time points for RNA-Seq analysis. Genes differentially expressed between vaccinated and control animals were identified. Their functional roles were studied using in silico methods.

2016-11-04 | GSE71431 | 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