Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Differentially expressed gene profiles before and after the ethanol sclerotherapy in patients with ovarian endometriomas

ABSTRACT: To detect the differentially expressed genes and subsequently identify disease-related signatures and potential biomarkers for patients with ovarian endometriomas in the serum before and 3 months after the ultrasound-guided ethanol sclerotherapy in patients with ovarian endometriomas. we have employed the KangChen Bio-technology Corp. NimbleGen Human Gene Expression Microarray 12x135K. Among these, six genes showed statistical significance including IL6, CD36, JUNB, B4GALT1, HES1, and NR4A1, which were also validated by qPCR analysis.

ORGANISM(S): Homo sapiens

PROVIDER: GSE69310 | GEO | 2015/05/28

SECONDARY ACCESSION(S): PRJNA285116

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Differentially expressed gene profiles before and after the ethanol sclerotherapy in patients with ovarian endometriomas

Project description:To detect the differentially expressed genes and subsequently identify disease-related signatures and potential biomarkers for patients with ovarian endometriomas in the serum before and 3 months after the ultrasound-guided ethanol sclerotherapy in patients with ovarian endometriomas. we have employed the KangChen Bio-technology Corp. NimbleGen Human Gene Expression Microarray 12x135K. Among these, six genes showed statistical significance including IL6, CD36, JUNB, B4GALT1, HES1, and NR4A1, which were also validated by qPCR analysis. The gene expression in human blood was measured before and 3 months after the ultrasound-guided ethanol sclerotherapy in the same patients with ovarian endometriomas.

2015-05-28 | E-GEOD-69310 | biostudies-arrayexpress

Endometriosis: Normal endometrial stromal cells and endometriotic stromal cells

Project description:Gene expression profiling of primary stromal cell cultures isolated from human endometrium and ovarian endometriosis. Samples are derived from the endometrium of 6 healthy patients and the endometriomas of 6 diseased patients. The results indicate the gene expression differences between these two cell populations. Stromal cells were obtained from human normal endometrial tissues and ovarian endometriomas. The tissues were digested enzymatically, and pure stromal cell populations were established.

2014-08-01 | E-GEOD-58178 | biostudies-arrayexpress

Transcriptomic Analyses of Ovarian Clear-Cell Carcinoma with Concurrent Endometriosis

Project description:Endometriosis, a benign inflammatory disease whereby endometrial-like tissue grows outside the uterus, is a risk factor for endometriosis-associated ovarian cancers. In particular, ovarian endometriomas, cystic lesions of deeply invasive endometriosis, are considered the precursor lesion for ovarian clear-cell carcinoma (OCCC). To explore the transcriptomic landscape, OCCC from women with pathology-proven concurrent endometriosis (n = 4) were compared to benign endometriomas (n = 4) by bulk RNA and small-RNA sequencing.

2023-07-29 | GSE230956 | GEO

Modulation of Syndecan-1/4 reduces the invasive potential of endometrioma through TGF-β signalling

Project description:We report that modulation of high SDC -1/-4 within certain endometriomas in women having ovarian endometriosis, reversed its higher invasion potential and downregulated several molecules incolved in cancer development.

2020-10-06 | GSE135122 | GEO

Endometriosis: Normal endometrial stromal cells and endometriotic stromal cells

2014-08-01 | GSE58178 | GEO

Transcription profiling of human CD34+ subsets in chronic phase CML and healthy individuals

Project description:A characteristic of chronic phase CML is accumulation of mature cells in the peripheral blood. It has not been determined if this expansion is explained by the CD34+ cell subset composition. We conducted flowcytometry-based cell sorting to assess the CD34+ subset composition and to retrieve the respective cells. We found a significant increase in the proportion of MEP and a decrease of HSC and GMP in patients with chronic phase CML compared to their healthy counterparts. The absolute number of HSC was similar, whereas CMP, GMP and MEP were expanded 2.8- to 7.7-fold. Gene expression analysis of CD34+ cell subsets showed, that in contrast to the normal developmental hierachy, CML HSC have a transcriptional profile which is similar to CML progenitor subsets and healthy CMP. HSC in healthy individuals show greater distance to their more mature progeny within the developmental hierarchy. As the differences between CML and healthy controls were minor at the progenitor level, we focused on the further characterization of CML HSC. 614 genes were differentially expressed, including downregulation of genes involved in adhesion and migration, regulation of the stem cell pool, and differentiation. We also found abrogation of nuclear receptors NR4A1 and NR4A3, and decreased expression of c-Jun and JunB. Re-expression of c-Jun and JunB in CD34+ cells from CML patients was achieved by co-transfection of NR4A1 and NR4A3. Moreover, we functionally corroborated a decreased adhesion capacity of the CML HSC. Taken together, these findings help to explain the hematological phenotype of CML patients in chronic phase. Experiment Overall Design: CD34+ subsets of 6 patients with chronic phase CML and 5 healthy volunteers were analysed by means of gene expression profiling with the Affymetrix HU-133A 2.0 array

2009-01-13 | E-GEOD-11889 | biostudies-arrayexpress

PP6 interated proteins in HaCaT cells treated with L-menthol

Project description:Because HES1 maintained PP6 protein level without affecting its mRNA level, we asked if HES1 directly interacted with PP6 in keratinocytes.

2022-11-09 | PXD037336 | Pride

Dopaplex RNA-seq dataset for "A dopamine-induced coordinated gene expression program regulates neuronal function and cocaine response"

Project description:This dataset contains whole-genome RNA sequencing results from rat embryonic striatal neuronal cultures and serves as the basis for characterization of multiplexed CRISPR/dCas9 gene activation of 16 genes induced by dopamine receptor activation. The goal of this experiment was to define the transcriptional response to multiplexed CRISPR-based upregulation of 16 dopamine-induced genes (Tent5b, Junb, Prox1, Nr4a2, Nptx1, Gsx1, Gadd45g, Btg2, Fosb, Nr4a1, Egr4, Fos, Sstr2, Gadd45b, Egr3, & Egr2), together termed "Dopaplex", as compared to a LacZ control sgRNA.

2020-06-24 | GSE137658 | GEO

Project description:Background: Tissue kallikrein-related peptidases 4, 5, 6 and 7 (KLK4-7) strongly increase the malignancy of ovarian cancer cells. By further deciphering the downstream effectors of KLK4-7, we aimed at finding new potential prognostic biomarkers and treatment targets for ovarian cancer patients. KLK4-7-transfected and vector-control OVMZ-6 (OV-KLK4-7 and OV-VC) ovarian cancer cells were established to select differentially regulated factors. Methods: Three independent approaches, PCR arrays, genome-wide microarray and proteome analyses, were pursued leading to the identification of ten candidates (MSN, KRT19, COL5A2, COL1A2, BMP5, F10, KRT7, JUNB, BMP4, MMP1). Differential gene expression in OV-KLK4-7 versus OV-VC cells was validated by qPCR. To determine differential protein expression, Western blot analyses, immunofluorescence and immunohistochemistry were applied for four candidates (MSN, KRT19, KRT7, JUNB) in both cell lines and tumor xenografts. Results: These experiments demonstrated that KLK4-7 distinctly regulate expression of MSN, KRT19, KRT7 and JUNB on the mRNA and protein levels in ovarian cancer cells and tissues. Protein expression of the top upregulated effectors, MSN and KRT19, was investigated by immunohistochemistry in a cohort of patients (n=66) afflicted with high-grade serous ovarian cancer and related to the immuno-expression levels of KLK4-7. Significant positive associations were found for KRT19/KLK4 (P=0.010), KRT19/KLK5 (P=0.030) and MSN/KLK7 (P=0.001); KRT19 and MSN immuno-expression showed a trend towards significance with KLK6. Conclusions: These findings imply that KLK4-7 exert key modulatory effects on other cancer-related genes and proteins in ovarian cancer. The key downstream effectors of KLK4-7, MSN and KRT19, may represent important therapeutic targets associated with serous ovarian cancer.

2018-12-26 | GSE109261 | GEO

Gene expression profiles of endometriosis

Project description:Endometriosis is a common disease seen by gynecologists. Clinical features involve pelvic pain and unexplained infertility. Although endometriosis is pathologically characterized by endometrial tissue outside the normal uterine location, endometriosis is otherwise not easily explained. Endometriomas, endometriotic cysts of the ovary, typically cause pain and distortion of pelvic anatomy. To begin to understand the pathogenesis of endometriomas, we carried out transcriptome:microRNAome analysis of endometriomas and eutopic endometrium, using gene expression arrays and next generation small RNA sequencing technology. Keywords: two group comparison Patients undergoing surgery for endometriomas, suspected endometriosis, pelvic pain, abnormal uterine bleeding, pelvic organ prolapse, or uterine leiomyomas were approached for participation. After informed consent, the patients underwent scheduled surgical procedure. Tissues were collected either as cyst wall of endometrioma or endometrial curettage of hysterectomy specimen and placed directly into RNALater (Ambion, Austin, TX) and eventually frozen at -80?C. Samples were designated as endometriomas or non-endometriosis control endometrium based on surgical pathology reports. Total RNA was isolated from frozen tissue. High quality RNA was subjected to Illumina’s Human WG-6 version 2.0 BeadChips (Illumina). . *** This Series represents the transcriptome component of the study. ***

2011-05-09 | E-GEOD-23339 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

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