Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

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

ABSTRACT: 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.

ORGANISM(S): Homo sapiens

PROVIDER: GSE19127 | GEO | 2009/11/21

SECONDARY ACCESSION(S): PRJNA120745

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

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.

2009-11-20 | E-GEOD-19127 | biostudies-arrayexpress

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

Transcription profiling of human mayometrium and uterine fibroids with normal and non-normal karyotypes

Project description:Normal myometrium and uterine fibroids (partially paired from the same donor) were profiled. FISH analysis was used to analyze the karyotype of the uterine fibroid samples. This study provides further insights in the development of uterine fibroids. Additional uterine fibroid samples from the same sample collection and cohort can be found at ArrayExpress under E-MTAB-340.

2023-07-01 | E-MTAB-12550 | biostudies-arrayexpress

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

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.

2011-04-29 | E-GEOD-28945 | 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

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

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

2011-04-29 | GSE28945 | GEO

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

Identifying the molecular signature of the t(12;14) subgroup of uterine leiomyomata using a paired analysis

Project description:Uterine leiomyomata (UL), the most common neoplasm in reproductive age women, have recurrent cytogenetic abnormalities including t(12;14). To develop a molecular signature, matched t(12;14) and non-t(12;14) tumors identified by FISH or karyotyping from each of 9 women were profiled using Affymetrix GeneChip U133 Plus 2.0 oligonucleotide arrays. Model analysis demonstrated the necessity for a matched design to eliminate the confounding effect of genotype and environment that underlay patient to patient variation. Matched myometrium, t(12;14) fibroid tumors and non-t(12;14) fibroid tumors identified by FISH or karyotyping from each of 9 women were profiled using Affymetrix GeneChip U133 Plus 2.0 oligonucleotide gene expression arrays.

2012-03-09 | E-GEOD-18096 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data