Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Amphibian skin microbiome

ABSTRACT: Skin microbiome of Polypedates megacephalus

PROVIDER: PRJNA1155111 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR30504100_1.fastq.gz	Fastqsanger.gz
	SRR30504100_2.fastq.gz	Fastqsanger.gz
	SRR30504101_1.fastq.gz	Fastqsanger.gz
	SRR30504101_2.fastq.gz	Fastqsanger.gz
	SRR30504102_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 62

Similar Datasets

The Skin Microbiome of Mycosis fungoides

Project description:The skin Microbiome stratifies Patients with CTCL into two subgroups. One subgroup has a balanced microbiome, while the other subgroups has a skin dybiosis with S. aureus outgrow. This is accompanied by impaired TCR repertoir and poor clinical outcome.

2023-12-01 | GSE221149 | GEO

Polypedates megacephalus

Project description:Polypedates megacephalus overview

| PRJNA290812 | ENA

Modulatory role of skin microbiome against UV

Project description:The role of the skin microbiome in UV-induced immune suppression has been overlooked. We addressed the question of microbial involvement in UV-induced immune suppression by using the standard model of contact hypersensitivity in the presence or absence of the microbiome (in germ-free [GF] and disinfected mice) and found that the microbiome inhibits UV-induced immune suppression. Furthermore, our transcriptome analysis (24 hours after irradiation) showed differential regulation of many genes in the presence or absence of the microbiome, including a predominance of pro-inflammatory cytokines versus immunosuppressive cytokines

2019-05-26 | GSE117359 | GEO

Skin microbiome

Project description:Skin microbiome Metagenome

| PRJNA665254 | ENA

Polypedates megacephalus

Project description:Polypedates megacephalus RNA sequencing

| PRJNA477429 | ENA

Facial Skin Biophysical Multi-Parameter and Microbiome-Based Korean Skin Cutoype (KSC) Determination

Project description:In this study, we conducted an integrated analysis of skin measurements, clinical BSTI surveys, and the skin microbiome of 950 Korean subjects to examine the ideal skin microbiome-biophysical association. By utilizing four skin biophysical parameters, we identified four distinct Korean Skin Cutotypes (KSCs) and categorized the subjects into three aging groups based on their age distribution. We established strong connections between 15 core genera and the four KSC types within the three aging groups, revealing three prominent clusters of the facial skin microbiome. Together with skin microbiome variations, skin tone/elasticity distinguishes aging groups while oiliness/hydration distinguishes individual differences within aging groups. Our study provides prospective reality data for customized skin care based on the microbiome environment of each skin type.

| EGAS00001007334 | EGA

Mouse skin microbiome

Project description:Mouse skin microbiome analysis

| PRJEB56306 | ENA

Skin Microbiome of Monogenic Skin Disorder

Project description:Skin Microbiome of Monogenic Skin Disorder

| PRJNA1168594 | ENA

Skin Microbiome of Monogenic Skin Disorder

Project description:Skin Microbiome of Monogenic Skin Disorder

| PRJNA1168593 | ENA

Polypedates megacephalus

Project description:Polypedates megacephalus Raw sequence reads