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Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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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

ABSTRACT: 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.

ORGANISM(S): Homo sapiens

SUBMITTER: Steven Head

PROVIDER: E-GEOD-28945 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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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.

2011-04-29 | GSE28945 | GEO

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.

2007-09-28 | E-GEOD-593 | biostudies-arrayexpress

Epigenome analysis of uterin leiomyoma and myometrium with or without leiomyoma [Methylation data]

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

Epigenome analysis of uterin leiomyoma and myometrium with or without leiomyoma [Expression data]

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. Total RNA from the three uterine leiomyoma, three myometrium with leiomyoma and three myometrium without leiomyoma were analyzed with the Affymetrix GeneChip Mouse Gene 1.0 ST Array.

2013-09-01 | E-GEOD-45188 | biostudies-arrayexpress

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

2003-10-17 | GSE593 | GEO

Profiling of Myometrium and Leiomyoma transcriptomes in 15 leiomyoma (MED12 G44 mutant) and 15 matched normal myometrium (WT) patient tissue samples.

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

MiRNA expression-based, individualized outcome prediction for surgically paired solitary and multiple leiomyoma with its corresponding myometrium

Project description:MiRNA microarray analysis was performed on 12 tissues from surgical leiomyoma patients, including three pairs of solitary leiomyoma and its corresponding myometrium and three pairs of multiple leiomyomas and corresponding myometrium.

2020-10-24 | GSE159959 | GEO

Transcriptome Analyses of Myometrium from Fibroid Patients Reveals Phenotypic Differences Compared to Non-diseased Myometrium

Project description:Uterine fibroid tissues are often compared to their matched myometrium in an effort to understand their pathophysiology, but it is not clear whether the myometria of uterine fibroid patients represent truly non-disease control tissues. We analyzed the transcriptomes of myometrial samples from non-fibroid patients (M) and from matched myometrial (MF) and fibroid (F) samples to determine whether there is a phenotypic difference between fibroid and non-fibroid myometria. Multidimensional scaling plots revealed that M samples clustered separately from both MF and F samples. A total of 1,169 differentially expressed genes (DEGs) (false discovery rate < 0.05) were observed in the MF comparison with M. Overrepresented Gene Ontology terms showed a high concordance of upregulated gene sets in MF compared to M, particularly extracellular matrix and structure organization. Gene set enrichment analyses showed that the leading-edge genes from the TGFβ signaling and inflammatory response gene sets were significantly enriched in MF. Overall comparison of the three tissues by three-dimensional principal component analyses showed that M, MF, and F samples clustered separately from each other and that a total of 732 DEGs from F vs M were not found in the F vs MF, which are likely understudied in the pathogenesis of uterine fibroids. These results suggest that the transcriptome of MF tissues are different from non-diseased myometrial tissues. Many dysregulated genes were not included in the F vs MF DEGs and may contain key genes for future investigations suggesting that fibroid studies should consider using not only matched myometrium but also non-diseased myometrium as the control.

2021-03-21 | GSE169255 | GEO

Relationship between Genome-Wide DNA Methylation and Gene Expression in Uterine Leiomyoma

Project description:Uterine leiomyomas, or fibroids, represent the most common benign tumor of the female reproductive tract. Fibroids become symptomatic in 30% of all women and up to 70% of African American women of reproductive age. Epigenetic dysregulation of individual genes has been demonstrated in leiomyoma cells; however, the in vivo genome-wide distribution of such epigenetic abnormalities, however, remains unknown. Principal Findings: We characterized and compared genome-wide DNA methylation and mRNA expression profiles in uterine leiomyoma and matched adjacent normal myometrial tissues from 18 African-American women. We found 55 genes with differential promoter methylation and concominant differences in mRNA expression in uterine leiomyoma versus normal myometrium. Eighty percent of the identified genes showed an inverse relationship DNA methylation status and mRNA expression in uterine leiomyoma tissues, and the majority of genes (62%) displayed hypermethylation associated with gene silencing. We selected two genes, the known tumor suppressors KLF11 and DLEC1, and verified promoter hypermethylation and mRNA repression using bisulfite sequencing and real-time PCR. Incubation of primary leiomyoma smooth muscle cells with a DNA methyltransferase inhibitor restored KLF11 and DLEC1 mRNA levels. paired LM and MM tissue samples

2012-04-29 | E-GEOD-31699 | biostudies-arrayexpress

Relationship between Genome-Wide DNA Methylation and Gene Expression in Uterine Leiomyoma

2012-04-30 | GSE31699 | GEO

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