Project description:The aim of the underlying study was to identify protein signatures for the detection of endometrial cancer in minimally invasive samples such as cervico-vaginal fluid and blood plasma. Plasma and Delphi Screener-collected cervico-vaginal fluid samples were acquired from post-menopausal women who were symptomatic with (n=53)and without(n=65)endometrial cancer. Digitised proteomic maps were developed for each sample by sequential window acquisition of all theoretical mass spectra (SWATH-MS). Machine learning was employed to identify the most discriminatory proteins and a set of high-perfoming biomarker signatures obtained.
Project description:Pre-exposure chemoprophylaxis using antiretroviral agents is a promising strategy for the prevention of sexual HIV transmission in women. Molecular transporters in the human vaginal tract may play a pivotal role in determining drug disposition and, consequently, pharmacodynamic outcomes in these efforts. Little is known, however, on the expression of these transporters in vaginal tissues, representing a critical knowledge gap. Our study analyzed the genome-wide transcriptome in 44 vaginal tissue samples from 6 reproductive-age women undergoing gynecologic surgeries.
Project description:In this study, using genetic cell lineage tracing, vaginal organoids, targeted gene deletion and single cell sequencing approaches; we revealed a unique population of vaginal epithelial stem cells and provided evidence that canonical Wnt/b-catenin signaling is required for the proliferation and differentiation of these stem cells.
Project description:Pre-exposure chemoprophylaxis using antiretroviral agents is a promising strategy for the prevention of sexual HIV transmission in women. Molecular transporters in the human vaginal tract may play a pivotal role in determining drug disposition and, consequently, pharmacodynamic outcomes in these efforts. Little is known, however, on the expression of these transporters in vaginal tissues, representing a critical knowledge gap. Our study analyzed the genome-wide transcriptome in 44 vaginal tissue samples from 6 reproductive-age women undergoing gynecologic surgeries. The genome-wide transcriptome in 44 vaginal tissue samples from 6 reproductive-age women (20-56 years old) undergoing gynecologic surgeries was measured.
Project description:The onset of menopause is accompanied by a dramatic increase in reported symptoms of vaginal dryness, soreness, irritation or itching, pain with intercourse and bleeding after intercourse. Collectively these affect 25-50% of women of post-menopausal age and significantly impact their quality of life. To examine how gene expression differs between these groups, surface vaginal epithelial cells were collected from postmenopausal women suffering from vaginal dryness and appropriate controls not suffering from dryness. Affymetrix GeneChip Human 1.0 ST microarrays were performed on RNA isolated from ten participants. Suitable RNA was extracted from ten participants which were classified into two groups, the dryness and control groups, based on diagnosis of dryness by a nurse during gynecoligical examination.