ICHT skin
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1045259 | ENA |
REPOSITORIES: ENA
Similar Datasets
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
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
Project description:Skin bacteria impact melanoma related pathways Melanoma represents the most lethal form of skin cancer, with rising numbers of annual incidences worldwide. In an effort to identify new risk factors that promote melanoma development, the contribution of the skin microbiome gained increasing attention. Previous studies already demonstrated an altered composition of the skin microbiome on melanoma sites. Yet, the underlying mechanisms of the interplay between the microbiome and melanoma progression remain elusive. We established a novel co-culture system capable to study host microbiome interactions during melanoma progression in situ. This system consists of a commercial 3D melanoma skin model colonized with skin bacteria obtained from a skin swab of a healthy volunteer. The models showed a stable co-colonization over a period of 12 days, with Streptococcus being the most abundant genus on the last day of cultivation. Transcriptome profiles revealed significant differences in colonized models compared to control. In particular, pathways involved in melanoma progression, like RAF/MAP and PI3K kinase, were upregulated in colonized models. This correlates with the augmented release of the cytokines VEGF, PIGF, and GM-CSF as well as the typical melanoma markers MIA and S100B. Furthermore, the data were supported by an active epithelial-mesenchymal transition in colonized skin models. Taken together, the bacterial community seems to promote the progression of melanoma in our established system, hence we provide an elegant method to elucidate the microbiome’s impact on cancer development in situ.
2026-02-17 | GSE273669 | GEO
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
Project description:Skin Microbiome of Monogenic Skin Disorder
| PRJNA1168593 | ENA
Project description:Skin Microbiome of Monogenic Skin Disorder
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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