Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Seppic skin

ABSTRACT: Characterisation of the forehead and armpit skin microbiome of healthy individuals using shotgun metagenomics and 16S rRNA gene sequencing

PROVIDER: PRJEB80549 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	ERR13757800.fastq.gz	Fastqsanger.gz
	ERR13767700.fastq.gz	Fastqsanger.gz
	ERR13757801.fastq.gz	Fastqsanger.gz
	ERR13767701.fastq.gz	Fastqsanger.gz
	ERR13757802.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 153

Similar Datasets

Human skin metagenome and 16S

Project description:Skin shotgun metagenomics and 16s amplicon sequencing from healthy adults, healthy children, and patients with DOCK8 deficiency

| PRJNA1162089 | ENA

Exploration of predictive factors based on oral and intestinal bacterial flora for treating patients with urothelial carcinoma

Project description:Purpose The role of intestinal flora in carcinogenesis and chemotherapy efficacy has been increasingly studied; however, comparisons between oral and intestinal flora remain limited. This study aimed to identify the microbial changes in urothelial carcinoma (UC) by analyzing oral saliva and stool samples from healthy individuals and patients. We also examined the association between microbial composition and immune checkpoint inhibitor (ICI) response. Methods A total of 20 healthy individuals and 38 patients with UC were analyzed. Among them, 27 patients with UC underwent ICI treatment. Oral saliva and stool samples were analyzed for 16S rRNA sequences to assess bacterial composition. Operational taxonomic units were generated, and phylogenetic analysis was performed using the 16S Metagenomics app whithin the Illumina BaseSpace Sequence Hub. Results Patients with UC showed higher Veillonellaceae and Prevotellaceae levels in saliva and stool, with lower levels of these bacteria associated with more prolonged overall survival and progression-free survival, particularly Veillonellaceae in stool. A higher neutrophil-to-lymphocyte ratio correlated with increased levels of these bacteria. Conclusion Veillonellaceae and Prevotellaceae are potential microbial biomarkers of survival outcomes and ICI efficacy in patients with UC. Non-invasive oral microbial sampling may facilitate personalized cancer treatment strategies.

2025-05-28 | GSE293354 | GEO

Towards functional profiling for eDNA based monitoring in coastal environments: a comparison of three approaches

Project description:Monitoring microbial communities can aid in understanding the state of these habitats. Environmental DNA (eDNA) techniques provide efficient and comprehensive monitoring by capturing broader diversity. Besides structural profiling, eDNA methods allow the study of functional profiles, encompassing the genes within the microbial community. In this study, three methodologies were compared for functional profiling of microbial communities in estuarine and coastal sites in the Bay of Biscay. The methodologies included inference from 16S metabarcoding data using Tax4Fun, GeoChip microarrays, and shotgun metagenomics.

2024-04-14 | E-MTAB-13075 | biostudies-arrayexpress

Gut microbiota drives vitiligo-related oxidative stress in skin via the metabolite Hippuric Acid

Project description:Vitiligo is a common autoimmune skin disorder. We constructed an induced vitiligo mouse model and performed bulk-RNA sequencing on the skin and 16S rRNA sequencing of feces from vitiligo mice and uninduced mice. Next, we performed skin bulk-RNA sequencing after treatment using ABX. Lastly, we subjected gut microbe-related metabolite hippuric acid to control mice and performed bulk-RNA sequencing on the skin to observe oxidative stress-related gene expression changes.

2024-08-21 | GSE273242 | GEO

Human skin metagenome

Project description:Skin shotgun metagenomics in patients with GNAI2 mutations

| PRJNA1104145 | ENA

skin metagenome

Project description:Porcine skin ulcers 16S rRNA Metagenome

| PRJNA237487 | ENA

ce19eaa2-7035-4b64-927d-5aaa13b93a4a - samples

Project description:Metagenomics shotgun sequencing was conducted on fecal samples from the Australian patients enrolled in the OpACIN-neo clinical trial (nÃ¢Â€Â‰=Ã¢Â€Â‰38). Metagenomic shotgun sequencing was performed utilizing the same DNA from the same preparations as for the 16S rRNA gene analysis. Individual libraries were prepared using Nextera XT, and sequencing was performed on the Illumina NovaSeq 6000 S1 (2 x 150bp; Xp workflow).

| EGAD00001010028 | EGA

human skin metagenome

Project description:Skin shotgun metagenomics sequencing from patients with WHIM syndrome

| PRJNA1334289 | ENA

human skin metagenome

Project description:Skin shotgun metagenomics sequencing from patients with CD4 lymphopenia

| PRJNA1369410 | ENA

mRNA expression of Atopic Dermatitis skin

Project description:mRNA array analysis was carried out using total RNA of skin biopsies from lesional and non-lesional skin of three atopic dermatitits patients and four healthy individuals.

2012-06-01 | E-MTAB-729 | 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