Project description:Profiling the skin microbiota composition from the face of healthy women. Exploring the differences between three age groups and between dry skin and not dry.
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:The changes in the proteome of different human tissues with advancing age are poorly characterized. Here, we studied the proteins present in skin fibroblasts collected from 82 healthy individuals across a wide age spectrum (22 to 89 years old) who participated in the GESTALT (Genetic and Epigenetic Signatures of Translational Aging Laboratory Testing) study of the National Institute on Aging, NIH. Proteins were extracted from lysed fibroblasts and subjected to liquid chromatography-mass spectrometry analysis, and the expression levels of 9341 proteins were analyzed by linear regression models. Several differentially expressed proteins were implicated in processes that change with age, including autophagy, scavenging of reactive oxygen species (ROS), ribosome biogenesis, DNA replication, and DNA repair. Changes on these prominent pathways were further assessed using molecular and cell-culture approaches. Our study establishes a framework of the global proteome governing the homeostasis of the aged skin.
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:Studies of long-lived individuals have revealed few genetic mechanisms for protection against age-associated disease. Therefore, we pursued genome sequencing of a related phenotype-healthy aging-to understand the genetics of disease-free aging without medical intervention. In contrast with studies of exceptional longevity, usually focused on centenarians, healthy aging is not associated with known longevity variants, but is associated with reduced genetic susceptibility to Alzheimer and coronary artery disease. Additionally, healthy aging is not associated with a decreased rate of rare pathogenic variants, potentially indicating the presence of disease-resistance factors. In keeping with this possibility, we identify suggestive common and rare variant genetic associations implying that protection against cognitive decline is a genetic component of healthy aging. These findings, based on a relatively small cohort, require independent replication. Overall, our results suggest healthy aging is an overlapping but distinct phenotype from exceptional longevity that may be enriched with disease-protective genetic factors.
Project description:Purpose: Depict the landscape of epigenetic regulation in Tasmanian devil facial tumor biopsies. Differential analysis of healthy versus tumor biopsies highlighted 166 candidate genes with different DNA methylation levels in their promoters, which included the tumor-specific hypermethylated promoters of Estrogen Receptor 1 (ESR1) and the transcription factor GATA3.
Project description:The Illumina Infinium 27k Human DNA methylation Beadchip v1.2 was used to obtain DNA methylation profiles across approximately 27,000 CpGs in white blood cells from women with and without BRCA1 mutation. Whole blood samples were drawn from 30 BRCA1 mutation carriers (15 women with breast cancer and 15 healthy women with mean age 57.2) and 30 females without BRCA1 mutation (15 breast cancers and 15 healthy with mean age 57.1). All samples were collected between 2001 and 2008. The samples were drawn from women attending the General Faculty Hospital in Prague and the complete coding sequence, intron-exon junctions and large rearrangements for BRCA1 and BRCA2 genes were tested.
Project description:We sequenced 12 samples from 6 healthy women. 3 women were below 30 years of age, and the other 3 were above 70 years. For each woman, both the cecum and the sigmoid section of the colon were sequenced. The objective was to differentiate age from tumor associated hypermethylation (from a related dataset), in order to identify tumor-associated differentially methylated regions that do not change upon ageing of normal colonic mucosa.