Browse
Submit Data
Databases
API
Help

Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

45 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

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

ABSTRACT: 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.

ORGANISM(S): Homo sapiens

SUBMITTER: Jennelle Hodge

PROVIDER: E-GEOD-18096 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Similar Datasets

Transcription profiling of human uterine leiomyomata - identifying the molecular signature of the interstitial del(7q) subgroup using a paired analysis

Project description:Uterine leiomyomata (UL), the most common neoplasm in reproductive-age women, have recurrent cytogenetic abnormalities including del(7)(q22q32). To develop a molecular signature, matched del(7q) and non-del(7q) tumors identified by FISH or karyotyping from 11 women were profiled with expression arrays. Our analysis using paired t-tests demonstrates this matched design is critical to eliminate confounding effects of genotype and environment that underlie patient variation. A gene list ordered by genome-wide significance showed enrichment for the 7q22 target region. Modification of the gene list by weighting each sample for percent of del(7q) cells to account for the mosaic nature of these tumors further enhanced the frequency of 7q22 genes. Pathway analysis revealed two of the 19 significant functional networks were associated with development and the most represented pathway was protein ubiquitination, which can influence tumor development by stabilizing oncoproteins and destabilizing tumor suppressor proteins. Array CGH (aCGH) studies determined the only consistent genomic imbalance was deletion of 9.5 megabases from 7q22-7q31.1. Combining the aCGH data with the del(7q) UL mosacism-weighted expression analysis resulted in a list of genes that are commonly deleted and whose copy number is correlated with significantly decreased expression. These genes include the proliferation inhibitor HPB1, the loss of expression of which has been associated with invasive breast cancer, as well as the mitosis integrity-maintenance tumor suppressor RINT1. This study provides a molecular signature of the del(7q) UL subgroup and will serve as a platform for future studies of tumor pathogenesis. Experiment Overall Design: Matched del(7q) and non-del(7q) tumors identified by FISH or karyotyping from each of eleven woman were profiled using Affymetrix GeneChip U133 Plus 2.0 oligonucleotide gene expression arrays.

2009-08-22 | E-GEOD-12814 | biostudies-arrayexpress

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.

2012-03-09 | GSE18096 | 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

Myomgraft_Model_TASIP_2010_09

Project description:Human uterine fibroids are benign tumors derived from the smooth muscle layers of the uterus. Fibroid disease impacts up to 50% of premenopausal women in their daily life, and accounts for up to 50% of hysterectomies in the United States. Despite the health burden they impose, the development of these tumors is barely understood. To improve our understanding of this disease, we developed and characterized a patient-derived xenograft models by transplanting small pieces of human uterine fibroid tissue subcutaneously into immunodeficient mice. Growth of the fibroid grafts was dependent on 17beta-estradiol and progesterone supplementation and maintained for up to 60 days. A gene expression profiling study was performed in order to determine molecular characteristis of well-grown compared to not-grown uterine fibroid xenografts.

2014-05-01 | E-MTAB-1882 | biostudies-arrayexpress

Transcriptome and DNA Methylome Analyses Reveal Underlying Mechanisms for the Racial Disparity in Uterine Fibroids [EPIC Human Methylation Array]

Project description:Genome wide DNA methylation profiling of normal myometrial and fibroid samples. Uterine fibroids (leiomyomas) affect Black women disproportionately in terms of prevalence, incidence, and severity of symptoms. The causes of this racial disparity are essentially unknown. We hypothesized that myometria of Black women are more susceptible to developing fibroids and examined the transcriptomic and DNA methylation profiles of myometria and fibroids from Black and White women for comparison. Myometrial samples cluster by race in both their transcriptome and DNA methylation profiles, whereas fibroid samples only cluster by race in the latter. More differentially expressed genes (DEGs) were detected in the Black and White myometrial comparison than in the fibroid comparison. Leiomyoma gene set expression analysis showed four different clusters of DEGs, including a cluster with highest expression in Black myometrial samples and elevated in all fibroids. One of the DEGs in this group, VWF, was significantly hypomethylated at two CpG probes near a putative enhancer site in Black myometrial and in all fibroid samples compared with White myometrial samples, suggesting that VWF expression is responsive to DNA hypomethylation, a known stress response. These results suggest that the molecular basis for the disparity in fibroid disease between Black and White women could be found in the myometria before fibroid development and not in the fibroids themselves.

2022-09-21 | GSE207349 | GEO

Transcriptome and DNA Methylome Analyses Reveal Underlying Mechanisms for the Racial Disparity in Uterine Fibroids [RNA-seq]

Project description:Uterine fibroids (leiomyomas) affect Black women disproportionately in terms of prevalence, incidence, and severity of symptoms. The causes of this racial disparity are essentially unknown. We hypothesized that myometria of Black women are more susceptible to developing fibroids and examined the transcriptomic and DNA methylation profiles of myometria and fibroids from Black and White women for comparison. Myometrial samples cluster by race in both their transcriptome and DNA methylation profiles, whereas fibroid samples only cluster by race in the latter. More differentially expressed genes (DEGs) were detected in the Black and White myometrial comparison than in the fibroid comparison. Leiomyoma gene set expression analysis showed four different clusters of DEGs, including a cluster with highest expression in Black myometrial samples and elevated in all fibroids. One of the DEGs in this group, VWF, was significantly hypomethylated at two CpG probes near a putative enhancer site in Black myometrial and in all fibroid samples compared with White myometrial samples, suggesting that VWF expression is responsive to DNA hypomethylation, a known stress response. These results suggest that the molecular basis for the disparity in fibroid disease between Black and White women could be found in the myometria before fibroid development and not in the fibroids themselves.

2022-09-21 | GSE207209 | GEO

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

Genomic profiles vary with race and subtype in young African American and European American breast cancer (SNP)

Project description:In the United States, African-American (AA) women are more likely to develop early-onset breast cancer and have historically poorer outcomes due to this disease compared to European-American (EA) women. Here, we analyzed genomic profiles of breast tumors from young women (<50 years old), matched by tumor subtype, histological grade, and ethnicity (African-American, AA, compared to European-American, EA). DNA copy number alterations (CNAs) were analyzed on the Affymetrix Human SNP Array v 6.0 platform. The study provides insight into the genetic component of ethnicity-related breast cancer health disparities. DNA copy number alterations (CNAs) and genotypes were analyzed using the Affymetrix SNP 6.0 platform. Breast tumor samples from young women (< 50 years old) were matched as follows: a matched pair consists of one AA and one EA sample, matched for tumor grade and tumor subtype (based on immunohistochemical analysis of ER, PR, and HER2 status). DNA from forty-four samples (22 AA, 22 EA) was analyzed on the Affymetrix SNP 6.0 array according to manufacturer’s directions.

2013-01-29 | E-GEOD-26232 | biostudies-arrayexpress

Homo sapiens

Project description:Uterine Fibroid and Normal Myometrial Expression Profiles- U133 Arrays

| PRJNA85381 | ENA

Identifying the molecular signature of the interstitial del(7q) 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 del(7)(q22q32). To develop a molecular signature, matched del(7q) and non-del(7q) tumors identified by FISH or karyotyping from 11 women were profiled with expression arrays. Our analysis using paired t-tests demonstrates this matched design is critical to eliminate confounding effects of genotype and environment that underlie patient variation. A gene list ordered by genome-wide significance showed enrichment for the 7q22 target region. Modification of the gene list by weighting each sample for percent of del(7q) cells to account for the mosaic nature of these tumors further enhanced the frequency of 7q22 genes. Pathway analysis revealed two of the 19 significant functional networks were associated with development and the most represented pathway was protein ubiquitination, which can influence tumor development by stabilizing oncoproteins and destabilizing tumor suppressor proteins. Array CGH (aCGH) studies determined the only consistent genomic imbalance was deletion of 9.5 megabases from 7q22-7q31.1. Combining the aCGH data with the del(7q) UL mosacism-weighted expression analysis resulted in a list of genes that are commonly deleted and whose copy number is correlated with significantly decreased expression. These genes include the proliferation inhibitor HPB1, the loss of expression of which has been associated with invasive breast cancer, as well as the mitosis integrity-maintenance tumor suppressor RINT1. This study provides a molecular signature of the del(7q) UL subgroup and will serve as a platform for future studies of tumor pathogenesis. Keywords: uterine leiomyomata, fibroids, del(7)(q22q32), gene expression, aCGH, microarray

2009-08-17 | GSE12814 | GEO

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