Project description:To study the development of pig facial skin after birth, we use the facial skin tissues of healthy Chenghua sows as experimental materials. we then performed gene expression profiling analysis using data obtained from RNA-seq of pig facial skin tissues at four time points.
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 pig skin architecture and physiology are similar to these of humans. Thus, the pig model is valuable for studying skin biology and testing therapeutics for skin diseases. The single-cell RNA sequencing technology allows quantitatively analyzing cell types, cell states, signaling, and receptor-ligand interactome at single-cell resolution and at high throughput. scRNA-Seq has been used to study mouse and human skins. To maximize the use of pig skin as a model system to study skin biology, we described a robust method for isolating and cryo-preserving pig single cells for scRNA-Seq. We showed that pig skin could be efficiently dissociated into single cells with high cell viability using the Miltenyi Human Whole Skin Dissociation kit and the Miltenyi gentleMACS Dissociator. In addition, we showed that the subsequent single cells could be cryopreserved using DMSO without causing additional cell death, cell aggregation, or changes in gene expression profiles. Using the developed protocol, we were able to identify all the major skin cell types. The protocol and results from this study will be very valuable for the skin research scientific community.
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: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: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: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.
