Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

JNKinhibitors for the treatment of inflammation and endometriosis [stroma]

ABSTRACT: JNKinhibitors for the treatment of inflammation and endometriosis [stroma]

PROVIDER: PRJNA1220717 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

JNKinhibitors for the treatment of inflammation and endometriosis [epithelial cells]

Project description:JNKinhibitors for the treatment of inflammation and endometriosis [epithelial cells]

| PRJNA1220716 | ENA

Effect of medical treatment on malignant transformation to clear cell carcinoma in endometriosis patients: A comparative study on gene expression using next generation sequencing (NGS)

Project description:The cause of endometriosis remains unknown, but the most compelling explanation involves the growth of endometrial glands and stroma outside the uterine cavity. Approximately 10% of women of reproductive age are affected by endometriosis, and those with endometriosis have a 50% higher risk of developing ovarian cancers compared to those without the condition. The possibility of endometriosis transforming into ovarian clear cell carcinoma (OCCC) has been suggested, and molecular-level analyses are progressing to verify this hypothesis. Recent emphasis on the importance of long-term dienogest treatment for endometriosis is due to the fact that ovarian cyst surgery decreases ovarian reserve. Medical treatment is also important to reduce the recurrence rate. This study aims to perform a molecular-level analysis of dienogest on endometriotic ovarian tissue at the molecular level. This could enhance current treatments for endometriosis and potentially delay its malignant transformation.

2025-12-03 | GSE283755 | GEO

Complement Roles Revealed by Immune Gene Profiling in Endometriosis and Endometriosis-Associated Ovarian Cancer

Project description:Mechanisms of immune dysregulation against established tumors are relatively well understood. Much less is known about the role of immune effectors against cancer precursor lesions. Endometrioid and clear cell ovarian tumors may partly derive from endometriosis, a commonly diagnosed chronic inflammatory disease. We performed here the most comprehensive immune gene expression analysis of pelvic inflammation in endometriosis and endometriosis-associated ovarian cancer (EAOC). RNA was extracted from 120 paraffin tissue blocks comprising of normal endometrium (n=32), benign endometriosis (n=30), atypical endometriosis (n=15) and EAOC (n=43). Serous tumors (n=15) were included as non-endometriosis associated controls. The immune microenvironment was profiled using Nanostring and the nCounterÂ® GX Human Immunology Kit, comprising probes for a total of 511 immune genes. Please note that 3 normal endometrium samples did not pass the array quality filtering and therefore excluded in the data analyses.

2015-01-07 | E-GEOD-57545 | biostudies-arrayexpress

Endometrial Insights: Unmasking Endometriosis through Single-Cell Profiling and AI-Based Prediction

Project description:Endometriosis, affecting over 10% of women, presents treatment and diagnostic challenges. To address these issues, we generated the biggest single-cell atlas of endometrial tissue to date, comprising 466,371 cells from 35 endometriosis and 25 non-endometriosis patients without exogenous hormonal treatment. Detailed analysis reveals significant gene expression changes and altered receptor-ligand interactions present already in the endometrium of endometriosis patients, including increased inflammation, adhesion, proliferation, cell survival, and angiogenesis in various cell types. These alterations may enhance endometriosis lesion formation and offer novel therapeutic targets. Using ScaiVision neural networks, we developed accurate models predicting endometriosis of varying disease severity, including a minimal 11-gene signature-based model. In conclusion, our findings illuminate numerous pathway and ligand-receptor changes in endometriosis endometrium, offering insights into pathophysiology, targets for novel treatments and accurate diagnostic models for enhanced outcomes in endometriosis management.

2026-03-20 | GSE266265 | GEO

Peritoneal endometriosis

Project description:We performed gene expression analysis human peritoneal endometriosis lesions, eutopic endometrium from endometriosis patients and peritoneum form endometriosis patients.The goal of the study was to analyse gene expression differences between peritoneal endometriosis lesion and eutopic endometrium and peritoneal endometriosis lesion and peritoneum.

2012-12-06 | E-MTAB-694 | biostudies-arrayexpress

Complement Roles Revealed by Immune Gene Profiling in Endometriosis and Endometriosis-Associated Ovarian Cancer

2015-01-07 | GSE57545 | GEO

The effect of Stat3 loss on inflammation and endometriosis

Project description:The effect of Stat3 loss on inflammation and endometriosis

| PRJNA1131318 | ENA

Pyroptotic T-cell-derived active IL-16 has a driving function in endometriosis development

Project description:Endometriosis is a common, chronic inflammatory condition that frequently results in pain and infertility and is estimated to affect 6–10% of women of reproductive age. However, the mechanisms underlying the induction of inflammation in endometriosis remain unclear. Here, we identified that ectopic endometrial T-cell-derived active interleukin (IL)-16 acts as an inflammation-driving cytokine in endometriosis. Furthermore, we found that in ectopic endometrial T cells, the activation of IL-16 requires iron overload-induced caspase-3 activity and that the release of active IL-16 is reliant on GSDME-mediated pyroptosis. These observations suggest that active IL-16 may represent a promising target in the treatment of endometriosis.

2024-04-10 | GSE229735 | GEO

Proteomics of endometriosis

Project description:This project aims at comparing endometrium from women with and without endometriosis during the secretory phase of menstrual cycle. The present results constitute a first step towards identifying potential diagnosis biomarkers and may provide a better understanding of endometriosis especially the etiology of the disease.

2022-04-01 | PXD012981 | Pride

Single-cell transcriptomic atlas of mouse gingival stroma in homeostasis and inflammation

Project description:The onset of periodontitis involves the response of gingival stroma to inflammatory stimulus. The cell constitution of gingival stroma, however, has never been mapped at the resolution of single cell. In this study, we used single-cell mRNA sequencing to establish cell atlas in mouse gingival stroma. Epithelial, mesenchymal, pericyte and neuronal clusters were successfully identified and their subpopulation and response to ligature-induced inflammation were also examined. While shifts in epithelial cell gene profile and proportion recapitulated the epithelium breakdown during periodontitis, mesenchymal cluster maintained its proportion and gene expression patterns.

2022-10-30 | GSE184938 | 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