Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

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

ABSTRACT: 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.

ORGANISM(S): Rattus norvegicus Mus musculus Homo sapiens

PROVIDER: GSE159959 | GEO | 2020/10/24

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

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

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

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

| PRJNA670947 | ENA

Expression profiling of lncRNAs, miRNAs and mRNAs and their differential expression in leiomyoma using next generation RNA sequencing

Project description:Total RNA was isolated from leiomyoma and paired myometrium (N=8) and samples from three pairs were subjected to RNA sequencing. After analysis, 5941 lncRNAs (2813 up- and 3128 down-regulated at ≥1.5 fold), 148 miRNAs (56 up- and 96 down-regulated at ≥1.5 fold) and 3855 mRNAs (2030 up- and 1855 down-regulated at ≥1.5 fold) were differentially expressed in leiomyomas. Using QRT-PCR we further confirmed the expression of HULC, lnc-MEG3, LINC00890, TSIX, LINC00473, lnc-KLF9-1 and lnc-POTEM-3 (lncRNA-ATB) in leiomyoma and matched myometrium (N=8). Our results presented here provide a comprehensive expression profile of lncRNAs in leiomyomas with concurrent integrated expression of miRNAs and mRNAs in leiomyomas.

2017-06-22 | GSE100338 | 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

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

2013-09-01 | GSE45187 | GEO

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

2013-09-01 | GSE45188 | 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

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