Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Neonatal foreskin antigen presenting cells after colonization with Staphylococcus epidermidis

ABSTRACT: Neonatal foreskin antigen presenting cells after colonization with Staphylococcus epidermidis

PROVIDER: PRJNA852578 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR19846881.fastq.gz	Fastqsanger.gz
	SRR19846882.fastq.gz	Fastqsanger.gz
	SRR19846883.fastq.gz	Fastqsanger.gz
	SRR19846884.fastq.gz	Fastqsanger.gz

Items per page:

1 - 4 of 4

Similar Datasets

Neonatal foreskin antigen presenting cells after colonization with Staphylococcus epidermidis

Project description:Early life establishment of tolerance to commensal bacteria at barrier surfaces carries enduring implications for immune health but remains poorly understood. Here we show that this process is controlled by microbial interaction with a specialized subset of antigen presenting cells. More particularly, we identify CD301b+ type 2 conventional dendritic cells (DC) as a subset in neonatal skin specifically capable of uptake, presentation and generation of regulatory T cells (Tregs) to commensal antigens. In early life, CD301b+ DC2 are enriched for programs of phagocytosis and maturation, while also expressing tolerogenic markers. In both human and murine skin, these signatures were reinforced by microbial uptake. In contrast to their adult counterparts or other early life DC subsets, neonatal CD301b+ DC2 highly expressed the retinoic acid-producing enzyme, RALDH2, deletion of which limited commensal-specific Tregs. Thus, synergistic interactions between bacteria and a specialized DC subset critically support early life tolerance at the cutaneous interface.

2023-01-01 | GSE206893 | GEO

Human neonatal foreskin epidermis

Project description:Human neonatal foreskin epidermis

| PRJNA614956 | ENA

Human neonatal foreskin epidermis

Project description:We report transcriptomes of human neonatal foreskin epidermis.

2020-07-02 | GSE147482 | GEO

RNA-sequencing of neonatal monocyte responses to E. coli and S. epidermidis

Project description:Newborns, particularly those born prematurely, are extremely vulnerable to sepsis and this has been attributed to ‘immature’ innate monocyte defences. Predominant pathogens include Escherichia. coli and Staphylococcus. epidermidis but no studies have assessed global transcriptional responses of neonatal monocytes to live sepsis-causing bacteria. Here, we aimed to identify and characterise the common and pathogen-specific, neonatal monocyte transcriptional responses to E. coli and S. epidermidis to better understand early life innate immune responses. RNA-sequencing was performed on purified cord blood monocytes from very preterm (<32 weeks gestational age, GA) and term infants (37-40 weeks GA) following standardised challenge with live S. epidermidis or E. coli.

2018-03-16 | GSE101880 | GEO

Antigen Presenting Dendritic Cells

Project description:Assessing the gene expression repertoire of antigen presenting dendritic cells Keywords: other

2004-09-30 | GSE702 | GEO

Cutaneous T effector transcriptomic responses triggered by early colonization of Staphylococcus species in new-born mice

Project description:We used the next generation sequencing method to profile gene expression changes in cutaneous T effectors isolated from mice with early colonization with Staphylococcus aureus or Staphylococcus epidermidis

2018-12-25 | GSE114398 | GEO

RNA sequencing of whole skin from neonatal mice colonized with Staphlyococcus epidermidis versus Staphylococcus aureus

Project description:RNA sequencing of whole skin from neonatal mice colonized with Staphlyococcus epidermidis versus Staphylococcus aureus

2019-11-11 | GSE130986 | GEO

RNA sequencing of Tregs from skin of neonatal mice colonized with Staphlyococcus epidermidis versus Staphylococcus aureus

Project description:RNA sequencing of Tregs from skin of neonatal mice colonized with Staphlyococcus epidermidis versus Staphylococcus aureus

2019-11-11 | GSE130984 | GEO

Antigen presenting cells of myeloid origin

Project description:Transcriptional profiles of four different myeloid antigen presenting cell (APC) subsets (BDCA-1+ circulating myeloid dendritic cells, CD14+ monocytes, and in vitro generated immature and mature monocyte-derived dendritic cells) were used for comprehensive transcriptome analysis. Based on the gene expression profiling data, a quantitative relationship between myeloid APC in functionally related gene spaces was established. Keywords = myeloid antigen presenting cells Keywords = dendritic cell subsets Keywords: repeat sample

2017-12-21 | GSE2215 | GEO

iSep23 – Genome-scale metabolic model of Staphylococcus epidermidis ATCC 12228

Project description:Staphylococcus epidermidis is a Gram-positive, coagulase-negative (CoNS) bacterium that is carried asymptomatically on the skin and mucous membranes of virtually all human beings. It is a major cause of nosocomial infections and associated with invasive procedures (Méric et al., 2018). Virulent S. epidermidis strains contaminate indwelling medical devices, such as catheters or implants (Sabaté Brescó et al., 2017), showing pathogenicity traits, e.g., biofilm formation, cell toxicity, or methicillin resistance (Méric et al., 2018). Apart from that, even the low-virulent, low-biofilm forming strain of S. epidermidis ATCC 12228 was shown to form a biofilm under decreased oxygen conditions (Uribe-Alvarez et al., 2015). As a member of the skin and mucosal microbiome, S. epidermidis prevents the colonization of Staphylococcus aureus (Otto, 2011). Its well-studied metabolism and the ability to grow on known media make S. epidermidis a possible reconstruction candidate. A reconstruction of a genome-scale metabolic model (GEM) of S. epidermidis was created using CarveMe (Machado et al., 2018) and carefully refined in subsequent manual curation efforts, using the S. epidermidis ATCC 12228 strain sequence. The model was experimentally validated on multiple media under varying growth conditions, such as different carbon sources.

2025-05-19 | MODEL2012220002 | BioModels

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