Transcriptomic Profiling of JEG-3 cells using human leiomyoma derived matrix.
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ABSTRACT:
PROVIDER: PRJNA758684 | ENA |
REPOSITORIES: ENA
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Project description:We studied morphological and transcriptional changes of JEG-3 cells, a trophoblast model, using a hypoxia microchip and human leiomyoma-derived matrix Myogel that mimics human tumor microenvironment.
2022-12-29 | GSE182988 | GEO
Project description:Oxygen tension varies during placental and fetal development. Although hypoxia drives early trophoblast invasion, low placental oxygen levels during pregnancy show association with pregnancy complications including fetal growth restriction and preeclampsia. JEG-3 cells are often used as a trophoblast model. We studied transcriptional changes of JEG-3 cells on a uterine leiomyoma derived matrix Myogel. This might be the closest condition to the real uterine environment that we can get for an in vitro model. We observed that culturing JEG-3 cells on the leiomyoma matrix leads to strong stimulation of ribosomal pathways, energy metabolism, and ATP production. Furthermore, Myogel improved JEG-3 cell adherence in comparison to tissue culture treated plastic. We also included PDMS microchip hypoxia creation, and observed changes in oxidative phosphorylation, oxygen related genes and several hypoxia genes. Our study highlights the effects of Myogel matrix on growing JEG-3 cells, especially on mitochondria, energy metabolism, and protein synthesis.
| S-EPMC9934486 | biostudies-literature
Project description:Introduction: In human placenta, alteration in trophoblast differentiation has a major impact on placental maintenance and integrity. Moreover, abnormal syncytial fusion seems to be implicated in the development of many complications including pre-eclampsia and intra-uterine growth restriction (IUGR). However, little is known about the mechanisms that control cytotrophoblast fusion into syncytiotrophoblast. BeWo cell line is commonly used to study placental function since it can be induced to form syncytium and secretes hormones. This fusion is triggered by cAMP or forskolin treatments. In contrast, JEG-3 cell line fails to undergo substantial fusion. Therefore, we will use BeWo and JEG-3 cells to identify a set of genes responsible of trophoblast fusion. Methods: BeWo and JEG-3 cells were treated with forskolin for 48 to induce fusion. RNA was extracted, hybridized to Affymetrix HuGene ST1.0 arrays and analyzed using system biology. Trophoblast differentiation was evaluated by real time PCR and immunocytochemistry analysis. Moreover, some of the identified genes were validated by real time PCR. Results: Our results identified a list of 32 altered genes in fused BeWo cells compared to JEG-3 cells after forskolin treatment. Among these genes, 4 were validated by real-time PCR including salt inducible Kinase 1 (SIK1) gene which is specifically upregulated in BeWo cells upon fusion. Moreover, using system biology analysis, SIK1 showed to be at the center of many biological and functional processes which suggest that it might play a major role in trophoblast differentiation. Conclusion: This study identified new target genes implicated in trophoblast fusion; a process implicated in the etiology of many pregnancy-related diseases such as preeclampsia, IUGR, and gestational diabetes.
2019-02-26 | GSE127170 | GEO
Project description:Transcriptional profiling of human placenta-derived JEG-3 cell line comparing vehicle control with 7.38 mM of valproic acid(VPA)-treated JEG-3 cells for 48 hr. 7.38 mM valproic acid(VPA) induced the 30% inhibiotion of JEG-3 cell proliferation, G1 phase cell cycle arrest and the reduction of cell size. The Goal was to analyze the mechanism of valproic acid-induced adverse effects in placental cells. Two-condition experiment, JEG-3 cells vs. valproic acid(VPA)-treated JEG-3 cells. Biological replicates: 3 control replicates, 3 VPA-treated replicates.
2012-10-11 | E-GEOD-41441 | biostudies-arrayexpress
Project description:Transcriptional profiling of human placenta-derived JEG-3 cell line comparing vehicle control with 7.38 mM of valproic acid(VPA)-treated JEG-3 cells for 48 hr. 7.38 mM valproic acid(VPA) induced the 30% inhibiotion of JEG-3 cell proliferation, G1 phase cell cycle arrest and the reduction of cell size. The Goal was to analyze the mechanism of valproic acid-induced adverse effects in placental cells.
2012-10-11 | GSE41441 | GEO
Project description:Transcriptomic Profiling of Trophoblast Fusion Using BeWo and JEG-3 Cell Lines
| PRJNA524235 | ENA
Project description:Through comprehensive profiling of transcribed genes in myometrium and leiomyoma tissue samples, we demonstrate two distinct gene expression profiles for myometrium and leiomyoma. This study shows that transcriptional dysregulation, and not post-transcriptional dysregulation, is primarily responsible for the perturbations of key biological processes in leiomyomas such as the extracellular matrix organization.
2020-01-01 | GSE128229 | GEO
Project description:Objective: The objective of this study was to estimate the accuracy of transcriptome-based classifier in differential diagnosis of uterine leiomyoma and leiomyosarcoma. Methods: We manually selected 114 normal uterine tissue and 31 leiomyosarcoma samples from publicly available transcriptome data in UCSC Xena as training/validation sets. We developed pre-processing procedure and gene selection method to sensitively find genes of larger variance in leiomyosarcoma than normal uterine tissues. Through our method, twenty genes were selected to build transcriptome-based classifier. The prediction accuracies of deep feedforward neural network (DNN), support vector machine (SVM), Random Forest (RF), and Gradient Boosting (GB) models were examined. We interpret the biological functionality of selected genes via network-based analysis using Gene-Mania. To validate the performance of trained model, we additionally collected 35 clinical samples of leiomyosarcoma and leiomyoma as a test set (18 + 17 as 1st and 2nd test sets). Results: We discovered genes expressed in a highly variable way in leiomyosarcoma while these genes are expressed in a conserved way in normal uterine samples. These genes were mainly associated with DNA replication, cell cycle, and DNA damage checkpoint. Among evaluated machine learning classifiers, the DNN had the highest accuracy and average AUC value in training data set. As gene selection and model training were made in leiomyosarcoma and uterine normal tissue, proving discriminant of ability between leiomyosarcoma and leiomyoma is necessary. Thus, further validation of trained model was conducted in newly collected clinical samples of leiomyosarcoma and leiomyoma. The DNN classifier performed AUC of 0.917 and 0.914 supporting that the selected genes in conjunction with DNN classifier are well discriminating the difference between leiomyosarcoma and leiomyoma in clinical sample. Conclusion: The transcriptome-based classifier accurately distinguished uterine leiomyoma from leiomyosarcoma.
2023-12-13 | GSE222045 | GEO
Project description:Global protein coding gene and miRNA expression profiling studies in uterine leiomyoma showed their aberrant expression and involvement in the pathogenesis of uterine leiomyoma. But the global expression patterns and potential clinical value of long noncoding RNA (lncRNA) in uterine leiomyoma have not been explored.In this study, we performed lncRNA expression profiles analysis of uterine leiomyoma using microarray(Arraystar Human LncRNA Array v2.0) to evaluate the genome-wide expression of lncRNAs and mRNAs and their potential role in the pathogenesis of uterine leiomyoma.
2014-08-14 | GSE52618 | GEO
Project description:Profiles of genome-wide DNA methylation were investigated in leiomyomas and in myometrium with and without leiomyomas. Profiles of DNA methylation in the myometrium with and without leiomyomas were quite similar while those in leiomyomas were distinct. Bisulphite converted DNA from the three uterine leiomyoma, three myometrium with leiomyoma and three myometrium without leiomyoma were hybridised to the Illumina infinium HumanMethylation450 BeadChip.
2013-09-01 | E-GEOD-45187 | biostudies-arrayexpress