Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: PMS Skin microbiome data

PROVIDER: PRJNA438584 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR6847010_1.fastq.gz	Fastqsanger.gz
	SRR6847010_2.fastq.gz	Fastqsanger.gz
	SRR6847020_1.fastq.gz	Fastqsanger.gz
	SRR6847020_2.fastq.gz	Fastqsanger.gz
	SRR6847030_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 106

Similar Datasets

Project description:PMS Oral microbiome data

| PRJNA438728 | 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

Project description:Human Skin Microbiome Data

| PRJNA735376 | ENA

MF_PPS5_pig_skin

Project description:Pig skin microbiome data

| PRJEB45861 | ENA

Integrative single cell analysis of progressive multiple sclerosis induced neural stem cells reveals epigenetically dysregulated type-I-interferon signaling [scATAC-seq]

Project description:Multiple sclerosis (MS) is a chronic demyelinating disease of the central nervous system, which currently lacks effective therapies that provide regeneration and stop disease progression. A suggested link is anticipated between the development of progressive MS (PMS) and aging, as suggested by recent work identifying hallmarks of cellular senescence in numerous cell types both in vitro with patient cell lines and in vivo in the post-mortem MS brain, including neural stem cells (NSCs). Using an inducible system, directly reprogramming human fibroblasts into induced NSCs (iNSCs), we generated control and PMS iNSC cell lines, which was found to maintain epigenetic age. Here we performed multi-omics, including bulk RNA, single-cell (sc) RNA, single-nucleus (sn) RNA and ATAC, and whole genome bisulfite sequencing. Here, we show that PMS iNSCs have overall increases in senescence and inflammatory associated genes using bulk sequencing. We next identified a unique subcluster of cells within the PMS iNSCs that have a pro-inflammatory and senescent phenotype, associated with interferon gene activation using sc-RNA seq. Within this specific subcluster there is higher expression of genes associated with inflammatory protein secretion, as well as the senescence associated secretory phenotype (SASP). A similar clustering pattern was observed in the ATAC-seq data, a large main cluster and a small inflammatory cluster primarily comprising of PMS iNSCs. Differentially accessible regions within the PMS cluster revealed promoter sites of inflammatory-associated genes to be more accessible correlating with gene expression. Our results highlight a novel cellular mechanism in PMS wherein NSCs are interferon-responsive and senescent-like which may impact other cells within the lesion leading to chronic inflammation.

2025-10-10 | GSE297690 | GEO

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

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

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

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

Effect of depletion of SEPT2 on gene expression during viral infection of peritoneal macrophages

Project description:To investigate the immune function of SEPT2 in the regulation of viral infection, we obtained SEPT2-deficient PMs from SEPT2 conditional knockout mice. We then performed gene expression profiling analysis using data obtained from RNA-seq of wild-type and SEPT2-deficient PMs with VSV or HSV-1 infection.

2022-09-23 | GSE213863 | 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