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Next-Generation Sequencing Facilitates Quantitative Analysis of Control and BRD9 Inhibitors-treated Uterine Fibroid Cell Transcriptome

ABSTRACT: We report that BRD9 inhibition altered multiple biological pathways, including cell cycle-related pathways in uterine fibroid cells

ORGANISM(S): Homo sapiens

PROVIDER: GSE195800 | GEO | 2023/12/22

REPOSITORIES: GEO

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Next-Generation Sequencing Facilitates Quantitative Analysis of Control and BRD9/7 Inhibitor-treated Uterine Leiomyosarcoma Cell Transcriptome

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Uterine Fibroid and Normal Myometrial Expression Profiles- U133 Arrays

Project description:Our study seeks to identify genes differentially expressed between uterine leiomyomas and normal myometrial tissue. This series consists of samples derived from normal myometrium and uterine leiomyomas obtained from fibroid afflicted patients.Total RNA was extracted from samples, converted to biotin-labeled cRNA, hybridized to oligonucleotide arrays, and followed by model based expression analysis. In order to select differentially expressed genes of interest, dChip model-based expression analysis was employed. Significant genes were identified, utilizing the dChip software, as having an average fold change of > +1.5 or < -1.5 between leiomyoma and normal myometrium and p < 0.05. Under these conditions the 226 genes in the following list were identified. Keywords: other

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Transcription profiling of human uterine fibroid (leiomyoma) and normal myometrial tissue to identify differentially expressed genes

Project description:Our study seeks to identify genes differentially expressed between uterine leiomyomas and normal myometrial tissue. This series consists of samples derived from normal myometrium and uterine leiomyomas obtained from fibroid afflicted patients.Total RNA was extracted from samples, converted to biotin-labeled cRNA, hybridized to oligonucleotide arrays, and followed by model based expression analysis.,In order to select differentially expressed genes of interest, dChip model-based expression analysis was employed. Significant genes were identified, utilizing the dChip software, as having an average fold change of > +1.5 or < -1.5 between leiomyoma and normal myometrium and p < 0.05. Under these conditions the 226 genes in the following list were identified.

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Analysis of the purified RNA samples to confirm that Notch pathway activation inhibits apoptosis in uterine leiomyomas leading to fibroid growth

Project description:Uterine leiomyomas are the most common benign tumor in humans causing significant morbidity with vaginal bleeding, pelvic pressure and pain. Histologically, leiomyomas show a large degree of extracellular matrix disorganization. I am working with a colleague who recently found Notch pathway gene expression were clearly altered in fibroids (“Differential expression of the Notch signal transduction pathway: ligands, receptors and Numb in uterine leiomyomas vs. myometrium,” G. Christman, H. Tang, I. Ahmad, J. Stribley, Fertility and Sterility, Volume 88, Supp 1, S72, September 2007). Glycosaminoglycan expression was found to be over-expressed in uterine leiomyomas compared to myometrial samples (Fertility and Sterility, Vol 88 Supp 1, S106, September, 2007), but glycosyltransferase and glycosidase expression has not been reported. We have purified RNA samples from paired uterine leiomyoma and normal myometrium from a previous clinical study. Dr. Domino's laboratory hypothesis is that Notch pathway activation inhibits apoptosis in uterine leiomyomas leading to fibroid growth. Notch ligands are fucosylated glycans. The bulk of a fibroid is the extracellular matrix yet little has been studied on leiomyocyte expression of enzymes that model glycans in the extracellular matrix. RNA preparations of paired samples of excess human tissues from hysterectomies, with two different groups normal myometrium, and leiomyoma tumors were sent to Microarray Core (E). The RNA was amplified, labeled, and hybridized to GLYCO_v3 microarrays.

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Analysis of the purified RNA samples to confirm that Notch pathway activation inhibits apoptosis in uterine leiomyomas leading to fibroid growth

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Profiling uterine fibroid specimens with an in-house array representing all 90 human tyrosine kinases and their ligands

Project description:The aim of this study is to compare the expression patterns of tyrosine kinases and their ligand activators between matched myometrium and leiomyoma tissues. For this, total RNA samples extracted from 42 pairs of matched fibroid and adjacent myometrial tissues were hybridized to a set of 840 customized oligonucleotide microarrays to compare the expression profiles of 244 selected human genes including all 90 tyrosine kinases and 103 ligands. Among the 244 genes surveyed, 38 were found to be differentially expressed between pairs of myometrium and fibroid tissues. Clustering analysis of the expression ratios of these 38 genes from 42 pairs of samples has led to the subdivision of fibroid samples into three groups, based on the expression ratios of two peptide ligands, CYR61 and EFNA4. Real-time quantitative RT-PCR measurements of additional 32 pairs of samples further confirmed the existence of these three groups of fibroid samples. In conclusion, peptide ligand activators of protein tyrosine kinases are differentially expressed between myometrium and fibroid tissues. This finding supports the notion that tyrosine kinases may be exploited as medical targets to treat symptomatic fibroids without surgical intervention.Â Â This study has been accomplished with 42 patients fibroid specimen and their matched myometrium, each pair of specimen has been repeated at least 3 times.

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Transcriptome of human myometrial stem cells in the context of uterine fibroids

Project description:Our study represents a new strategy for identifying drivers and risk factors of uterine fibroids (F) by identifying genes and pathways differentially regulated in myometrial stem cells (SCs) isolated from myometrium without fibroids (MyoN) and from myometrium adjacent to uterine fibroids (MyoF) using RNA-seq approach. Moreover, we will perform the comparison analysis of the transcriptome between MyoF SCs and fibroid SCs to identify differentially expressed genes.

2023-09-24 | GSE158515 | GEO

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