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

ABSTRACT: 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.

ORGANISM(S): Homo sapiens

PROVIDER: GSE45187 | GEO | 2013/09/01

SECONDARY ACCESSION(S): PRJNA193187

REPOSITORIES: GEO

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

2013-09-01 | GSE45188 | GEO

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

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.

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Gene expression profiling of leiomyoma and myometrium specimens collected at distinct phases of the menstrual cycle

Project description:Despite progesterone’s key role in uterine smooth muscle tumorigenesis, the mechanisms by which it promotes the growth of uterine leiomyomas remain poorly understood. The aim of this study was to identify novel gene products mediating progesterone’s effects in uterine leiomyomas. Gene expression profiling was used to identify putative progesterone-regulated genes differentially expressed in uterine leiomyomas, which were then studied in vitro. Our analyses identified secreted frizzled-related protein 4 (sFRP4) as a key gene product functionally linked to PR activation whose expression was a) 2.6-fold higher in leiomyomas than myometrium (n=26, p<0.01) and b) 2.5-fold higher during the proliferative phase of the menstrual cycle (n=26, p<0.01).

2018-06-06 | GSE95101 | 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

Comparison of Gene expression profiles between myometrium, MED12 mutation positive uterine leiomyomas and MED12 wildtype uterine leiomyomas

Project description:Gene expression profiles of 10 uterine leiomyomas and their matched normal myometrium specimens were studied using Affymetrix GeneChip Human Genome U133 Plus 2.0 gene expression arrays. Four tumors displayed a codon 44 mutation, four carried a intron 1 mutation, and the remaining two displayed no MED12 mutation.

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

2012-04-30 | GSE31699 | 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.

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