Project description:To compare the expression levels of long non-coding RNA (lncRNA) and messenger RNA (mRNA) in endometrium between patients with Polycystic Ovary Syndrome （PCOS）and normal ovulation undergoing in vitro fertilization-embryo transfer (IVF-ET） LncRNAs and mRNAs of endometrium were identified via RNA sequencing from 3 PCOS and 3 normal ovulation
Project description:Progesterone (P4) acts via the endometrium to modify the uterine environment and promotes conceptus growth for elongation and pregnancy establishment. Ewes were ovariectomized and treated with P4 for 14 days or P4 for 14 days and RU486, a progesterone receptor antagonist, from days 8 to 14. Small RNA sequencing of endometrium and EVs from the uterine lumen detected expression of 768 miRNAs and P4 regulation of 9 endometrial and 7 extracellular vesicle miRNAs.
Project description:Intervention type:DRUG. Intervention1:Huaier, Dose form:GRANULES, Route of administration:ORAL, intended dose regimen:20 to 60/day by either bulk or split for 3 months to extended term if necessary. Control intervention1:None.
Primary outcome(s): For mRNA libraries, focus on mRNA studies. Data analysis includes sequencing data processing and basic sequencing data quality control, prediction of new transcripts, differential expression analysis of genes. Gene Ontology (GO) and the KEGG pathway database are used for annotation and enrichment analysis of up-regulated genes and down-regulated genes.
For small RNA libraries, data analysis includes sequencing data process and sequencing data process QC, small RNA distribution across the genome, rRNA, tRNA, alignment with snRNA and snoRNA, construction of known miRNA expression pattern, prediction New miRNA and Study of their secondary structure Based on the expression pattern of miRNA, we perform not only GO / KEGG annotation and enrichment, but also different expression analysis.. Timepoint:RNA sequencing of 240 blood samples of 80 cases and its analysis, scheduled from June 30, 2022..
Project description:This study sought to identify potential mechanisms underlying the pathogenesis and pathophysiology of adenomyosis with a focus on the endometrium and myometrium. Transcriptomic profiles of eutopic endometrium and of myometrium from women with and without diffuse adenomyosis were assessed using RNA sequencing.
Project description:Classically, there are two types of endometrial cancer, endometrioid adenocarcinoma (EAC), or Type I; and uterine papillary serous carcinoma (UPSC), or Type II. These two types of cancers exhibit distinct DNA methylation levels in promoters of many genes. In EAC, many tumor suppressor genes were silenced due to DNA hypermethylation at their promoter region. However, promoters of many of these genes remained unmethylated in UPSC. Here, we described complete DNA methylome maps of endometrioid adenocarcinoma, uterine papillary serous carcinoma, and normal endometrium, by applying a combined strategy of methylated DNA immunoprecipitation sequencing (MeDIP-seq) and methylation-sensitive restriction enzyme sequencing (MRE-seq). We took a complementary and orthogonal approach to identify DNA methylation changes unique to the two endometrial cancer subtypes in an unbiased fashion. We generated complete DNA methylome maps for endometrioid adenocarcinoma (EAC, three samples), uterine papillary serous carcinomas (UPSC, three samples), and normal endometrium (pooled samples) by integrating data from methylated DNA immunoprecipitation sequencing (MeDIP-seq) and methylation-sensitive restriction enzyme sequencing (MRE-seq).
Project description:Purpose- To identify the pathways and processes that are dysregulated in the eutopic endometrium of women with endometriosis Methods-RNA sequencing was used to detect and quantify the transcripts encoded by the whole genome in the eutopic endometrium. Mid-secretory phase eutopic endometrial samples from women with (n=4) and without endometriosis (n=4) were processed for RNA sequencing and the data were compared to identify the transcripts displaying differential abundance in women with endometriosis, compared to those without endometriosis (controls)
Project description:Purpose- To identify the pathways and processes that are dysregulated in the eutopic endometrium of women with endometriosis Methods- RNA sequencing was used to detect and quantify the transcripts encoded by the whole genome in the eutopic endometrium. Mid-proliferative phase eutopic endometrial samples from women with (n=4) and without endometriosis (n=3) were processed for RNA sequencing and the data were compared to identify the transcripts displaying differential abundance in women with endometriosis, compared to those without endometriosis (controls)
Project description:We performed single-cell RNA-sequencing to create a cell census of the human endometrium, which is the mucosal lining of the uterus that undergoes dynamic changes throughout the menstrual cycle. We integrated cells that were obtained from 3 superficial biopsies to selected samples that originated from 2 organ donors; this allowed a better representation of cell type diversity found within the full depth of the endometrium.
