Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Skin microbiota of Hoplobatrachus rugulosus

PROVIDER: PRJNA766330 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR16072415_1.fastq.gz	Fastqsanger.gz
	SRR16072415_2.fastq.gz	Fastqsanger.gz
	SRR16072365_1.fastq.gz	Fastqsanger.gz
	SRR16072365_2.fastq.gz	Fastqsanger.gz
	SRR16072971_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 16

Similar Datasets

Hoplobatrachus rugulosus

Project description:Hoplobatrachus rugulosus overview

| PRJNA182799 | ENA

Project description:Transcriptome of gonads in Hoplobatrachus rugulosus

| PRJNA659277 | ENA

Project description:Compound Chinese herbal medicine improves immune function and alters intestinal microbiome composition of Hoplobatrachus rugulosus

| PRJNA1254130 | ENA

Hoplobatrachus occipitalis

Project description:Hoplobatrachus occipitalis

| PRJNA1156534 | ENA

iyAleRugu

Project description:Aleiodes rugulosus

| PRJEB78756 | ENA

Analysis of gene expression in the skin of mice under high-fat diet regimen following topical association with Corynebacterium accolens.

Project description:The resident skin microbiota plays a fundamental role in the control of skin physiology and growing evidence support the idea that, at this barrier site, both immunity and inflammatory processes are controlled by skin resident microbiota. However, how defined skin microbes influence the skin immune system under both steady state conditions and inflammatory settings remains poorly understood. Obesity has been linked to increased prevalence of skin inflammatory disorders. We used microarray analysis to investigate how Corynebacterium spp., dominant members of the skin microbiota of mice and humans, influence gene expression in the skin in mice under normal diet or a high-fat diet regimen.

2018-03-01 | GSE96932 | GEO

Talaromyces rugulosus

Project description:Talaromyces rugulosus overview

| PRJNA646003 | ENA

Effects of scratching and engineered nanomaterials on gene profiles and microbiota in SKH-1 mice

Project description:Scratching damages upper layers of the skin, breaks this first line of immune defence, and leads to inflammation response, which often also modifies the microbiota of the skin. Although the healing of incision wounds is well-described, there are fewer studies on superficial wounds. We used a simulated model of skin scratching to study changes in the host transcriptome, skin microbiota, and their relationship. Additionally, we examined the effect of nanosized ZnO, TiO2, and Ag on both intact and damaged skin. At 24 h after exposure, the number of neutrophils was increased, 396 genes were differentially expressed, and microbiota compositions changed between scratched and intact control skin. At 7 d, the skin was still colonised by gut-associated microbes, including Lachnospiraceae, present in the cage environment, while the transcriptomic responses decreased. To sum up, the nanomaterial exposures reduced the relative abundance of cutaneous microbes on healthy skin, but the effect of scratching was more significant for the transcriptome than the nanomaterial exposure both at 24 h and 7 d. We conclude that superficial skin scratching induces inflammatory cell accumulation and changes in gene expression especially at 24 h, while the changes in the microbiota last at least 7 days.

2024-01-19 | GSE253459 | GEO

Immunity to commensal skin fungi promotes psoriasiform skin inflammation

Project description:Under steady state conditions, the immune system is poised to sense and respond to the microbiota. As such, immunity to the microbiota, including T cell responses, is expected to precede any inflammatory trigger. How this pool of preformed microbiota-specific T cells contributes to tissue pathologies remains unclear. Here, using an experimental model of psoriasis, we show that recall responses to commensal skin fungi can significantly aggravate tissue inflammation. Enhanced pathology caused by fungi pre-exposure depends on Th17 responses and neutrophil extracellular traps and recapitulates features of the transcriptional landscape of human lesional psoriatic skin. Together, our results propose that recall responses directed to skin fungi can directly promote skin inflammation and that exploration of tissue inflammation should be assessed in the context of recall responses to the microbiota.

2020-09-22 | GSE144850 | GEO

Commensal Microbiota Regulates Skin Barrier Function And Repair Via Signaling Through The Aryl Hydrocarbon Receptor

Project description:Essential to terrestrial life is the formation of a competent skin barrier that prevents desiccation and entry by harmful substances. A tightly orchestrated series of cellular changes is required for the proper formation of the epidermal permeability barrier. These changes occur in the context of the commensal skin microbiota. Using germ free mice and antibiotic depletion models, we demonstrate the microbiota is necessary for proper differentiation and repair of the barrier. These effects were mediated by keratinocyte signaling through the aryl hydrocarbon receptor (AHR), a xenobiotic receptor that also regulates epidermal differentiation. Murine skin lacking keratinocyte AHR was more susceptible to infection by S. aureus and increased pathology in a model of atopic dermatitis. Topical colonization with a defined consortium of human skin commensals restored barrier competence in germ free skin and during epicutaneous sensitization; these effects were dependent on keratinocyte AHR. We reveal a fundamental role for the commensal skin microbiota in directing skin barrier formation and repair through the AHR, with far-reaching implications for the numerous skin disorders characterized by disrupted epidermal differentiation and/or barrier competence.

2021-03-31 | GSE162925 | 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