Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

MF_PPS5_pig_skin

ABSTRACT: Pig skin microbiome data

PROVIDER: PRJEB45861 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	ERR6379270.fastq.gz	Fastqsanger.gz
	ERR6379280.fastq.gz	Fastqsanger.gz
	ERR6379290.fastq.gz	Fastqsanger.gz
	ERR6379300.fastq.gz	Fastqsanger.gz
	ERR6379310.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 62

Similar Datasets

Comprehensive transcriptional analysis of pig facial skin development

Project description:To study the development of pig facial skin after birth, we use the facial skin tissues of healthy Chenghua sows as experimental materials. we then performed gene expression profiling analysis using data obtained from RNA-seq of pig facial skin tissues at four time points.

2023-05-10 | GSE231573 | GEO

Pig Skin & Wound Microbiome

Project description:Pig Skin & Wound Microbiome

| PRJNA1055114 | ENA

RNAseq of the skin of patients with Mycosis fungoides

Project description:We performed transcriptome analysis and multimodal data integration of the transcriptome and the microbiome of the skin of Mycosis fungoides Patients.

2023-12-01 | GSE221148 | GEO

Isolating and Cryo-Preserving Pig Skin Cells for Single Cell RNA Sequencing Study

Project description:The pig skin architecture and physiology are similar to these of humans. Thus, the pig model is valuable for studying skin biology and testing therapeutics for skin diseases. The single-cell RNA sequencing technology allows quantitatively analyzing cell types, cell states, signaling, and receptor-ligand interactome at single-cell resolution and at high throughput. scRNA-Seq has been used to study mouse and human skins. To maximize the use of pig skin as a model system to study skin biology, we described a robust method for isolating and cryo-preserving pig single cells for scRNA-Seq. We showed that pig skin could be efficiently dissociated into single cells with high cell viability using the Miltenyi Human Whole Skin Dissociation kit and the Miltenyi gentleMACS Dissociator. In addition, we showed that the subsequent single cells could be cryopreserved using DMSO without causing additional cell death, cell aggregation, or changes in gene expression profiles. Using the developed protocol, we were able to identify all the major skin cell types. The protocol and results from this study will be very valuable for the skin research scientific community.

2021-02-11 | GSE166561 | GEO

Project description:Human Skin Microbiome Data

| PRJNA735376 | ENA

Project description:PMS Skin microbiome data

| PRJNA438584 | 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

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

T cell receptor repertoire of the skin of Mycosis fungoides patients

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 outgrowth. This is accompanied by impaired TCR repertoire and poor clinical outcome.

2023-12-01 | GSE218874 | GEO

Microarray transcriptome profiling of atopic dermatitis and psoriasis patients compared to healthy volunteers.

Project description:Characteization host-microbiome interactions in patients with allergic (model: atopic dermatitis) and autoimmune (model: psoriasis) diseases by integration of microarray transcriptome data with 16S microbial profiling. 6mm punch biopsies were collected from the skin of atopic dermatitis and psoriasis patients alongside healthy volunteers, and subjected to analysis using Affymetrix Human Gene ST 2.1 arrays.

2019-09-11 | E-MTAB-8149 | 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