Estrogen (E) plays a pivotal role in regulating the female reproductive system, particularly the ovary. However, the number and type of ovarian genes influenced by estrogen remain to be fully elucidated. In this study, we have utilized wild-type (WT) and aromatase knockout (ArKO; estrogen free) mouse ovaries as an in vivo model to profile estrogen dependent genes. RNA from each individual ovary (n = 3) was analyzed by a microarray-based screen using Illumina Sentrix Mouse WG-6 BeadChip (45,281 transcripts). Comparative analysis (GeneSpring) showed differential expression profiles of 450 genes influenced by E, with 291 genes up-regulated and 159 down-regulated by 2-fold or greater in the ArKO ovary compared to WT. Genes previously reported to be E regulated in ArKO ovaries were confirmed, in addition to novel genes not previously reported to be expressed or regulated by E in the ovary. Of genes involved in 5 diverse functional processes (hormonal processes, reproduction, sex differentiation and determination, apoptosis and cellular processes) 78 had estrogen-responsive elements (ERE). These analyses define the transcriptome regulated by E in the mouse ovary. Further analysis and investigation will increase our knowledge pertaining to how E influences follicular development and other ovarian functions.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3036593PMC
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0014672PLOS

Publication Analysis

Top Keywords

mouse ovary
8
genes influenced
8
genes reported
8
genes
7
ovary
6
estrogen-dependent gene
4
gene expression
4
mouse
4
expression mouse
4
estrogen
4

Similar Publications

Unlabelled: Polycystic ovary syndrome (PCOS) is a complex condition with clear genetic susceptibilities that impact the heterogeneous clinical presentation of symptoms and severity through unknown mechanisms. Chronic inflammation is linked to PCOS, but a clear cause-and-effect relationship has yet to be established. This study used an in depth systems immunology approach and a letrozole-induced PCOS mouse model to identify changes in inflammatory factors associated with PCOS symptoms.

View Article and Find Full Text PDF

Abnormality of granulosa cells (GCs) is the critical cause of follicular atresia in premature ovarian failure (POF). RIPK3 is highly expressed in GCs derived from atretic follicles. We focus on uncovering how RIPK3 contributes to ovarian GC senescence.

View Article and Find Full Text PDF

Aims: Metformin has shown beneficial effects on reproduction in women. However, its use during pregnancy remains controversial, as metformin can cross the placenta. Most studies have focused on the metabolic impact on the offspring of treated mothers, with limited information regarding its reproductive effects.

View Article and Find Full Text PDF

A Comprehensive Atlas of AAV Tropism in the Mouse.

Mol Ther

January 2025

Department of Integrative Physiology, Baylor College of Medicine, Houston, TX 77030, USA. Electronic address:

Gene therapy with Adeno-Associated Virus (AAV) vectors requires knowledge of their tropism within the body. Here we analyze the tropism of ten naturally occurring AAV serotypes (AAV3B, AAV4, AAV5, AAV6, AAV7, AAV8, AAV9, AAVrh8, AAVrh10 and AAVrh74) following systemic delivery into male and female mice. A transgene expressing ZsGreen and Cre recombinase was used to identify transduction in a cell-dependent manner based on fluorescence.

View Article and Find Full Text PDF

Unveiling the role of miRNAs in Diminished Ovarian Reserve: an in silico network approach.

Syst Biol Reprod Med

December 2025

Department of Biosciences and Technology for Food, Agriculture and Environment, University of Teramo, Teramo, Italy.

MicroRNAs (miRNAs) have acquired an increased recognition to unravel the complex molecular mechanisms underlying Diminished Ovarian Reserve (DOR), one of the main responsible for infertility. To investigate the impact of miRNA profiles in granulosa cells and follicular fluid, crucial players in follicle development, this study employed a computational network theory approach to reconstruct potential pathways regulated by miRNAs in granulosa cells and follicular fluid of women suffering from DOR. Available data from published research were collected to create the FGC_MiRNome_MC, a representation of miRNA target genes and their interactions.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!