Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

TLDA miRNA expression profiling of peripheral blood samples in PCOS patients

ABSTRACT: In the present study through TLDA analysis we looked into the miRNA differential expression in peripheral blood of PCOS patients v/s control women. The results implicated that many signalling networks as MAPK pathway, Androgen signaling, Insulin signaling and Immune signaling are regulated in peripheral blood of PCOS patients. The data indicate that there is generic PCOS specific gene expression in peripheral blood of PCOS subjects which can reflect the same from other PCO tissues. Total RNA was extracted from peripheral blood of 4 PCOS patients and 4 control subjects and compared for miRNA diferential expression through TLDA

ORGANISM(S): Homo sapiens

PROVIDER: GSE54249 | GEO | 2022/12/31

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Microarray mRNA expression profiling of peripheral blood samples in PCOS patients

Project description:In the present study through microarray analysis we looked into the mRNA differential expression in peripheral blood of PCOS patients v/s control women. The results implicated that many signalling networks as MAPK pathway, Androgen signaling, Insulin signaling and Immune signaling are regulated in peripheral blood of PCOS patients. The data indicate that there is generic PCOS specific gene expression in peripheral blood of PCOS subjects which can reflect the same from other PCO tissues. Total RNA was extracted from peripheral blood of 4 PCOS patients and 4 control subjects and compared for mRNA diferential expression through microarray.

2022-12-31 | GSE54248 | GEO

Homo sapiens

Project description:TLDA miRNA expression profiling of peripheral blood samples in PCOS patients

| PRJNA236035 | ENA

Bidirectional crosstalk between cancer cells and cancer-associated fibroblasts in mixed organoid system elicits transcriptomic characteristics of pancreatic cancer with potential therapeutic vulnerabilities [scRNA-seq]

Project description:Pancreatic cancer's aggressiveness and poor response to conventional treatment have long necessitated a personalized medicine platform. Patient-derived pancreatic cancer organoids (PCOs) with matching genetic mutations have emerged as valuable tools for drug screening. However, PCOs, composed solely of cancer cells, may exhibit different characteristics from the original tumors due to the absence of the tumor microenvironment (TME). To address these issues, we extensively characterized the transcriptomic features of matched patient-derived mixed PCO-CAF systems, combining pancreatic cancer cells and cancer-associated fibroblasts (CAFs), compared to PCOs and the original tumors. The mixed PCO-CAF model closely resembled the patient tissue's transcriptomic traits, indicating its potential in reflecting the TME. Single-cell RNA sequencing revealed different cell populations in the mixed PCO-CAF system, including myofibroblast-like CAFs and inflammatory CAFs, influencing the essential features of cancer cells in the TME. Several growth factors and cytokines were identified in both the patient tissue and mixed PCO-CAFs, suggesting the importance of intercellular signaling communication. Importantly, disrupting these interactions could lead to antitumor responses. Given the cumulative implications of our dataset, the mixed PCO-CAF emerges as a clinically applicable paradigm for personalized therapeutics.

2024-02-28 | GSE253559 | GEO

2024-02-28 | GSE253558 | GEO

Homo sapiens

Project description:PCOS patients vs control subjects

| PRJNA95395 | ENA

mRNA/miRNA profiling of peripheral blood samples in PCOS patients

Project description:mRNA/miRNA profiling of peripheral blood samples in PCOS patients

| PRJNA236033 | ENA

Homo sapiens

Project description:Microarray mRNA expression profiling of peripheral blood samples in PCOS patients

| PRJNA236034 | ENA

Developmental Programming: Sheep Granulosa and Theca Cell-Specific Transcriptional Regulation by Prenatal Testosterone

Project description:Prenatal testosterone treated sheep, similar to PCOS women, manifest reduced cyclicity, functional hyperandrogenism and polycystic ovary (PCO) morphology. The PCO morphology results from increased follicular recruitment and persistence of antral follicles, consequence of reduced follicular growth and atresia, and driven by cell-specific gene expression changes that are poorly understood. Therefore, utilizing RNA sequencing, cell-specific transcriptional changes were assessed in laser capture microdissection isolated antral follicular granulosa and theca cells from 21 months-of- age control and prenatal testosterone treated sheep.

2020-06-18 | GSE150236 | GEO

The peripheral blood transcriptome identifies dysregulation of inflammatory response genes in polycystic ovary syndrome

Project description:Polycystic ovary syndrome (PCOS) is a common endocrine disorder in women resulting in ovulation failure and other metabolic problems. However, the underlying mechanisms of it remain largely uncertain due to its complexity of clinical manifestations. Since PCOS is believed as a systemic disorder involved endocrine, metabolism, immune system and many organs, we therefore want to know what happen in the peripheral blood of patients with PCOS. To this purpose, gene expression patterns of peripheral blood from 10 PCOS patients and 10 healthy women were profiled by microarray. The significance analysis of microarray (SAM) software was employed to screen the differentially expressed genes (DEGs) and gene ontology (GO) was used for functional enrichment analysis. Also, quantitative reverse-transcription PCR (qRT-PCR) was performed to confirm the results from microarray. 181 DEGs with a fold change >2.0 and q-value <0.05 were identified between the groups. Of these genes, 149 were up-regulated and 32 down-regulated in PCOS. Importantly, 14 genes associated with inflammatory response pathway were highly enriched in PCOS. Furthermore, qPCR assays validated the dysregulated inflammatory response genes. Our observation reinforces the hypothesis that PCOS is characterized by the presence of systemic inflammatory changes and inflammation is implicated in the pathogenesis of this entity. Further elucidation of the aberrant expression of inflammation-related genes how to affect the pathogenesis of PCOS may lead to the development of novel preventative and therapeutic strategies.

2017-01-01 | GSE85932 | GEO

Proteome of fluid from human ovarian small antral follicles reveals insights in folliculogenesis and oocyte maturation.

Project description:Follicles of polycystic ovaries (PCO) often become arrested in early antral stages at around 3 to 11 mm in diameter. The condition disturbs dominant follicle selection and may result in altered ovulation and anovulation. During the growth and development of human follicles, the follicular fluid (FF) constitutes the avascular microenvironment in which the oocyte develops and acts as a vehicle for hormone signaling between cues from circulation and follicular cells. Previous proteomics studies performed on FF from women with polycystic ovarian syndrome (PCOS) have revealed information on the protein changes associated with the pathophysiology of this disorder. However, these studies have been conducted on FF samples obtained in connection with oocyte pick-up during ovarian stimulation right at the time of ovulation and are limited to follicular conditions during the follicular phase of the menstrual cycle. This study aimed to detect proteomic alterations in FF from human small antral follicles (hSAF) obtained from women with PCO as compared to normal women.

2022-04-07 | PXD031485 | Pride

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