Identification and Analysis of Gene Biomarkers for Ovarian Cancer.

To identify potential diagnostic markers for ovarian cancer (OC) and explore the contribution of immune cells infiltration to the pathogenesis of OC. As the study cohort, two gene expression datasets of human OC (GSE27651 and GSE26712, taken as the metadata) taken from the Gene Expression Omnibus (GEO) database were combined, comprising 228 OC and 16 control samples. Analysis was performed to identify the differentially expressed genes between the OC and control samples, while support vector machine analysis using the recursive feature elimination algorithm and least absolute shrinkage and selection operator regression were performed to identify candidate biomarkers that could discriminate OC.

PCGEM1 promotes cell proliferation and migration in endometriosis by targeting miR-124-3p-mediated ANTXR2 expression.

Background: Endometriosis, a common gynaecological disease in women, affects 10% of women of childbearing age. Among infertile women, this proportion is as high as 30-50%. Despite the high prevalence of endometriosis, the pathogenesis of endometriosis is still unclear.

Analysis of characteristic genes and ceRNA regulation mechanism of endometriosis based on full transcriptional sequencing.

Endometriosis is a common gynecological disorder that usually causes infertility, pelvic pain, and ovarian masses. This study aimed to mine the characteristic genes of endometriosis, and explore the regulatory mechanism and potential therapeutic drugs based on whole transcriptome sequencing data and resources from public databases, providing a theoretical basis for the diagnosis and treatment of endometriosis. The transcriptome data of the five eutopic (EU) and ectopic (EC) endometrium samples were obtained from Beijing Obstetrics and Gynecology Hospital, Beijing, China, and dinified as the own data set.

Integrated bioinformatic analysis of dysregulated microRNA-mRNA co-expression network in ovarian endometriosis.

Introduction: Ovarian endometriosis is a frequently occurring gynecological disease with large socioeconomic impact. Accumulating evidence has suggested that aberrant miRNA-mRNA interactions are involved in the pathogenesis and progression of ovarian endometriosis. This study aims to identify key miRNAs in ovarian endometriosis by using integrated bioinformatic analysis of a dysregulated miRNA-mRNA co-expression network.

Diagnostic gene biomarkers for predicting immune infiltration in endometriosis.

Objective: To determine the potential diagnostic markers and extent of immune cell infiltration in endometriosis (EMS).

Methods: Two published profiles (GSE7305 and GSE25628 datasets) were downloaded, and the candidate biomarkers were identified by support vector machine recursive feature elimination analysis and a Lasso regression model. The diagnostic value and expression levels of biomarkers in EMS were verified by quantitative reverse transcription polymerase chain reaction (qRT-PCR) and western blotting, then further validated in the GSE5108 dataset.

Gene expression profiles of HTR8-S/Vneo cells after changes in ABCA1 expression.

ABCA1 is expressed in placental trophoblasts, such that when the expression level of ABCA1 changes, the function of trophoblasts dramatically changes. However, the mechanism by which ABCA1 affects the function of trophoblast cells remains unclear. Here, we used biochemical and transcriptomic to uncover the potential mechanism of the effect of ABCA1 on trophoblast function.

ABCA1 affects placental function via trophoblast and macrophage.

Aims: To study the potential impact of ABCA1 on the function of the placenta.

Main Methods: Trophoblasts and macrophages were isolated from the placenta with enzymatic digestion; Immunofluorescence assay was used to detect the location of ABCA1 in cells; RT-PCR and Western-blot were used to detect the expression of ABCA1; The cholesterol efflux assays of primary trophoblasts was detected by Amplex Red cholesterol assay kit (Invitrogen);Inflammatory factor secretion from primary macrophages was detected by Elisa.

Key Findings: ABCA1 was mainly located on trophoblast membranes.

Placental ABCA1 Expression Is Increased in Spontaneous Preterm Deliveries Compared with Iatrogenic Preterm Deliveries and Term Deliveries.

Objective: Abnormal expression of ABCA1 and ABCG1 in the placenta can elicit lipid metabolism disorder and adverse pregnancy outcomes. However, whether it is associated with preterm delivery remains unclear. Our present study aimed to evaluate the relationship between abnormal expression of ABCA1 or ABCG1 and preterm delivery.