Project description:We performed transcriptome analysis and multimodal data integration of the transcriptome and the microbiome 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 outgrow. This is accompanied by impaired TCR repertoir and poor clinical outcome.
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.
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.
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.
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.
Project description:Squalene makes up 12 % of human skin surface lipids, however little is known about its affects on the host skin microbiome. Here we tested the effect of squalene on genetic regulation of staphylococci, showing that it profoundly affects expression virulence or colonisation determinants, and of iron uptake systems.
Project description:Purpose: The goal of this study is to obtain the differential gene expression in MED1fl/fl and MED1ΔMac peritoneal macrophages (PMs) stimulated with or without LPS. Methods: Pooled PMs were collected from 8-week-old MED1fl/fl and MED1ΔMac mice (n=6 mice/group), and then treated without or with lipopolysaccharide (LPS; 50 ng/mL) for 6 hours. PMs mRNA profiles were generated by deep sequencing, in duplicate, using Illumina NextSeq500. The sequence reads that passed quality filters were analyzed at the transcript isoform level with two methods: reads were mapped to the mm9 whole genome using tophat and RPKM were calculated using cufflink. qRT–PCR validation was performed using SYBR Green assays. Results: Using an optimized data analysis workflow, we mapped about 12 million sequence reads per sample to the mouse genome (build mm9) and identified 24,130 transcripts in the PMs of MED1fl/fl and MED1ΔMac mice. Data analysis with TopHat and Cufflinks workflows revealed a significant overlap yet provided complementary insights in transcriptome profiling. Conclusions: Our study represents the detailed analysis of PMs transcriptomes, with biologic replicates, generated by RNA-seq technology. Our results show that the expression of more than 20 genes involved in innate immune response and M1 polarization was significantly higher in MED1ΔMac than in MED1fl/fl macrophages after LPS treatment. Upregulated genes in MED1ΔMac macrophages are the proinflammatory genes.