Transcriptome of human myometrial stem cells in the context of uterine fibroids
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE158515 | GEO | 2023/09/24
REPOSITORIES: GEO
Similar Datasets
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
Project description:Uterine fibroids are benign myometrial smooth muscle tumors of unknown etiology that when symptomatic are the most common indication for hysterectomy in the USA. We conducted an integrated analysis of fibroids and adjacent normal myometria by whole exome sequencing, DNA methylation (Human Methylation EPIC) array, and RNA-sequencing. Unsupervised clustering by DNA methylation segregated normal myometria and fibroids, and further separated the fibroids into subtypes marked by MED12 mutation, HMGA2 activation (HMGA2hi) and HMGA1 activation (HMGA1hi). Upregulation of HMGA2 expression in HMGA2hi fibroids did not always appear to be dependent on translocation, as has been historically described, and was associated with hypomethylation in the HMGA2 gene body. Furthermore, we found that expression of HOXA13 was highly upregulated in fibroids and that overexpression of HOXA13 in a myometrial cell line induced expression of genes classically associated with uterine fibroids. Transcriptome analyses of the most differentially expressed genes between cervix and myometrium also showed that uterine fibroids and normal cervix clustered together and apart from normal myometria. Together, our integrated analysis shows a role for epigenetic modification in fibroid biology and strongly suggests that homeotic transformation of myometrium cells to a more cervical phenotype is important for the etiology of the disease.
2019-08-07 | GSE135446 | GEO
Project description:Objective: To study the possible role for HMGA2 overexpression in differentiated myometrial cells and its potential to induce a stem cell-like or dedifferentiating phenotype and drive fibroid development. Design: Myometrial cells were immortalized and transduced with an HMGA2 lentivirus to produce HMGA2hi cells. In vitro stem cell assays were conducted, and ribonucleic acid from HMGA2hi and control cells as well as fibroid-free myometrial and HMGA2 fibroid (HMGA2F) tissues were submitted for ribonucleic acid sequencing. Setting: University research laboratory. Patient(s): Women who underwent hysterectomy for symptomatic uterine fibroids or other gynecological conditions. Intervention(s): Not applicable. Main Outcome Measure(s): In vitro stem cell-like properties from myometrial cell lines. Ribonucleic acid sequencing and collagen production of HMGA2-overexpressing primary leiomyoma tissue and cell lines. Result(s): HMGA2hicellshadenhancedself-renewalcapacity,decreasedproliferation,andagreaterabilitytodifferentiateintoother mesenchymal cell types. HMGA2hi cells exhibited a stem cell-like signature and shared transcriptomic similarities with HMGA2F. Moreover, dysregulated extracellular matrix pathways were observed in both HMGA2hi cells and HMGA2F. Conclusion(s): Our findings show that HMGA2 overexpression may drive myometrial cells to dedifferentiate into a more plastic phenotype and provide evidence for an alternative mechanism for fibroid etiology, suggesting that fibroids arise not only from a mutated stem cell but also from a mutated differentiated myometrial cell.
2024-08-14 | GSE268710 | GEO
Project description:Uterine fibroids are benign myometrial smooth muscle tumors of unknown etiology that when symptomatic are the most common indication for hysterectomy in the USA. We conducted an integrated analysis of fibroids and adjacent normal myometria by whole exome sequencing, DNA methylation (Human Methylation EPIC) array, and RNA-sequencing. Unsupervised clustering by DNA methylation segregated normal myometria and fibroids, and further separated the fibroids into subtypes marked by MED12 mutation, HMGA2 activation (HMGA2hi) and HMGA1 activation (HMGA1hi). Upregulation of HMGA2 expression in HMGA2hi fibroids did not always appear to be dependent on translocation, as has been historically described, and was associated with hypomethylation in the HMGA2 gene body. Furthermore, we found that expression of HOXA13 was highly upregulated in fibroids and that overexpression of HOXA13 in a myometrial cell line induced expression of genes classically associated with uterine fibroids. Transcriptome analyses of the most differentially expressed genes between cervix and myometrium also showed that uterine fibroids and normal cervix clustered together and apart from normal myometria. Together, our integrated analysis shows a role for epigenetic modification in fibroid biology and strongly suggests that homeotic transformation of myometrium cells to a more cervical phenotype is important for the etiology of the disease.
2018-10-05 | GSE120854 | GEO
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
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
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
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
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
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