Project description:Endometriosis is defined as the presence of endometrial tissue (eutopic tissue) outside the uterus (ectopic tissue). We assessed differentially expressed microRNAs in ectopic endometrium compared with eutopic endometrium. Comparison of paired eutopic/ectopic endometrium microRNAs from three patients.
Project description:The aim of the present study was to study the proteomic profile of eutopic endometrium from patients with endometriosis vs. healthy controls
Project description:The pathogenesis of endometriosis may result from aberrant angiogenesis that occurs in eutopic endometrium with retrograde menstruation. The difference in gene expression profile between human endometrial endothelial cells (HEECs) from eutopic endometria of patients with and without endometriosis would be determinant that affects the occurrence of endometriosis. To explore this kind of difference, we performed in vitro culture and identified their endothelial origin, as well as observed growth features of HEECs from the two different origins. Finally we identified the difference in gene expression profile when combined suppression subtractive hybridization(SSH) with genechip and confirmed the results by quantitative reverse transcription polymerase chain reaction (qRT-PCR). The HEECs derived from endometriosis exhibited potent survival ability in vitro compared to that from non-endometriosis. We found that gremlin and fibronectin genes were up-regulated in HEECs derived from eutopic endometrium of patients with endometriosis when compared with that from patients without endometriosis. Our study implies that enhanced angiogenic capacity of eutopic HEECs may be an independent determinant in endometriotic aberrant angiogenesis in addition to the interaction of exfoliated endometrium and peritoneal environment elements such as activated macrophages and soluble cytokines. Experiment Overall Design: We analyzed 5 arrays for HEECs derived from eutopic endometrium of patients with endometriosis and 5 arrays for HEECs derived from that of patients without endometriosis
Project description:Endometriosis is defined as the presence of endometrial tissue (eutopic tissue) outside the uterus (ectopic tissue). We assessed differentially expressed microRNAs in ectopic endometrium compared with eutopic endometrium.
Project description:The pathogenesis of endometriosis may result from aberrant angiogenesis that occurs in eutopic endometrium with retrograde menstruation. The difference in gene expression profile between human endometrial endothelial cells (HEECs) from eutopic endometria of patients with and without endometriosis would be determinant that affects the occurrence of endometriosis. To explore this kind of difference, we performed in vitro culture and identified their endothelial origin, as well as observed growth features of HEECs from the two different origins. Finally we identified the difference in gene expression profile when combined suppression subtractive hybridization(SSH) with genechip and confirmed the results by quantitative reverse transcription polymerase chain reaction (qRT-PCR). The HEECs derived from endometriosis exhibited potent survival ability in vitro compared to that from non-endometriosis. We found that gremlin and fibronectin genes were up-regulated in HEECs derived from eutopic endometrium of patients with endometriosis when compared with that from patients without endometriosis. Our study implies that enhanced angiogenic capacity of eutopic HEECs may be an independent determinant in endometriotic aberrant angiogenesis in addition to the interaction of exfoliated endometrium and peritoneal environment elements such as activated macrophages and soluble cytokines. Keywords: human endometrial endothelial cells (HEECs),endometriosis,differentially expressed genes
Project description:In this study, we performed transcriptomic analysis in ectopic lesions and eutopic endometrial tissues from both fertile and subfertile mice with endometriosis. We identified the positive correlation of the gene signatures between the mouse and human in ectopic lesions. Conserved gene networks were activated in all the ectopic lesions including estradiol, immune, fibrosis, and angiogenesis pathways. The interactions mediated through hormone, cytokine, and growth factor as well as their corresponding receptors were predicted between the ectopic and eutopic endometrium. EGF and WNT signaling were more suppressed in the eutopic endometrium from subfertile mice. Our results revealed that our mouse endometriosis model recapitulates the important transcriptomic changes of endometriosis progression in human ectopic lesions including the essential regulator network and intensive inter-communications between ectopic and eutopic endometrium. Our preclinical animal model for endometriosis will be invaluable to understand etiology and pathophysiology on endometriosis.
Project description:RNA sequencing was conducted for RNA expression profiling from secretory eutopic endometrium of 6 patients with endometriosis who didn't receive surgery and 12 patients with endometriosis who received surgery in less than 24 months. The differential expression of RNAs was generated.
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)