Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Gut-associated microbes are present and active in the pig nasal cavity

PROVIDER: PRJNA981084 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR24857300_1.fastq.gz	Fastqsanger.gz
	SRR24857300_2.fastq.gz	Fastqsanger.gz
	SRR24857400_1.fastq.gz	Fastqsanger.gz
	SRR24857400_2.fastq.gz	Fastqsanger.gz
	SRR24857301_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 296

Similar Datasets

Nasal cavity epithelial cells exhibit antiviral transcriptional signatures upon activation of IFN-gamma producing antigen-specific T cells

Project description:To evaluate the differential impact of IFN-gamma secretion on nasal cavity epithelial cells, we compared the transcriptional profiles of nasal cavity epithelial cells (CD45-, CD3- CD11b-, CD31-, CD326+) from wildtype and IFN-gamma knockout mice at 30 days (d30) post intranasal infection with a live attenuated influenza virus expressing the immunodominant H-2Kd CD8 T cell epitope from Sendai virus nucleoprotein (LAIV-SenNP). Nasal cavity epithelial cells were also analyzed from LAIV-SenNP immunized wildtype and IFN-gamma knockout mice 3 days after intranasal administration of Sendai virus nucleoprotein peptide (d30+3). The results indicate that nasal cavity epithelial cells express genes associated with antigen presentation and antiviral function following antigen-specific T cell activation, and these alterations in transcriptional programming depend on IFN-gamma secretion.

2024-02-15 | GSE247376 | GEO

Project description:studies in commercial pig nasal cavity during normal development

| PRJNA815911 | ENA

Porcine intestinal microbes

Project description:Pig gut microbes Raw sequence reads

| PRJNA1124559 | ENA

Alternations in gut microbiota and host transcriptome of patients with coronary artery disease [RNA-seq]

Project description:Coronary artery disease (CAD) is a widespread heart condition caused by atherosclerosis and influences millions of people worldwide. Early detection of CAD is challenging due to the lack of specific biomarkers. The gut microbiota and host-microbiota interactions have been well documented to affect human health. However, investigation that reveals the role of gut microbes in CAD is still limited. This study aims to uncover the synergistic effects of host genes and gut microbes associated with CAD through integrative genomic analyses.

2023-10-15 | GSE242046 | GEO

Alternations in gut microbiota and host transcriptome of patients with coronary artery disease [16S_rRNA]

2023-10-15 | GSE242047 | GEO

Project description:nasal cavity microbial community diversity

| PRJNA493980 | ENA

Differential expressed genes in respone to diesel exhaust particle (DEP) on mouse nasal cavity

Project description:Transcription profiling of mouse nasal cavity comparing control and short-term (4 weeks) or long-term (8 weeks) of DEP-exposed group.

2018-05-22 | GSE114719 | GEO

Mining the microbiome for modulatory effects on the murine intestinal transcriptome

Project description:Within the human gut reside diverse microbes coexisting with the host in a mutually advantageous relationship. We comprehensively identified the modulatory effects of phylogenetically diverse human gut microbes on the murine intestinal transcriptome. Gene-expression profiles were generated from the whole-tissue intestinal RNA of mice colonized with various single microbial strains. The selection of microbe-specific effects, from the transcriptional response, yielded only a small number of transcripts, indicating that symbiotic microbes have only limited effects on the gut transcriptome overall. Moreover, none of these microbe-specific transcripts was uniformly induced by all microbes. Interestingly, these responsive transcripts were induced by some microbes but repressed by others, suggesting different microbes can have diametrically opposed consequences.

2017-02-16 | GSE88919 | GEO

Project description:Macrotranscriptome sequencing of LA-MRSA ST398 and ST9 strains in pig nasal cavity

| PRJNA1198310 | ENA

Age associated differences in microbiome in Rhesus Macaque

Project description:Aging is associated with declining immunity and inflammation as well as alterations in the gut microbiome with a decrease of beneficial microbes and increase in pathogenic ones. The aim of this study was to investigate aging associated gut microbiome in relation to immunologic and metabolic profile in a non-human primate (NHP) model. 12 old (age>18 years) and 4 young (age 3-6 years) Rhesus macaques were included in this study. Immune cell subsets were characterized in PBMC by flow cytometry and plasma cytokines levels were determined by bead based multiplex cytokine analysis. Stool samples were collected by ileal loop and investigated for microbiome analysis by shotgun metagenomics. Serum, gut microbial lysate and microbe-free fecal extract were subjected to metabolomic analysis by mass-spectrometry. Our results showed that the old animals exhibited higher inflammatory biomarkers in plasma and lower CD4 T cells with altered distribution of naïve and memory T cell maturation subsets. The gut microbiome in old animals had higher abundance of Archaeal and Proteobacterial species and lower Firmicutes than the young. Significant enrichment of metabolites that contribute to inflammatory and cytotoxic pathways was observed in serum and feces of old animals compared to the young. We conclude that aging NHP undergo immunosenescence and age associated alterations in the gut microbiome that has a distinct metabolic profile.

2022-02-01 | E-MTAB-10160 | biostudies-arrayexpress

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