Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Obesity modulates cell-cell interactions during ovarian folliculogenesis

ABSTRACT: Obesity is known to affect female reproduction, as evidenced by obese patients suffering from subfertility and abnormal oogenesis. However, the underlying mechanisms by which obesity impairs folliculogenesis are poorly documented. Here, we performed comprehensive single-cell transcriptome analysis in both regular diet (RD) and obese mouse models to systematically uncover how obesity affects ovarian follicle cells and their interactions. We found an increased proportion of Inhbb highly expressed granulosa cells (GCs) among all the GC subpopulations in obese mice. Under obese conditions, excessive androgen secreted from endocrine theca cells (ETCs) may contribute to the imbalanced change of GC subtypes through ETCs-GCs interactions. This is alleviated by enzalutamide, an androgen receptor antagonist. We also identified and confirmed typical GC markers, such as Marcks and Prkar2b, for sensitive evaluation of female fertility in obesity. These data represent a resource for studying transcriptional networks and cell-cell interactions during folliculogenesis under physiological and pathological conditions.

ORGANISM(S): Mus musculus

PROVIDER: GSE142587 | GEO | 2021/12/09

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Transcriptome Landscape of Human Folliculogenesis Reveals Oocytes and Granulosa Cells Interactions

Project description:The dynamic transcriptional regulation and interactions of human germlines and surrounding somatic cells during folliculogenesis remains unknown. Using RNA-Seq analysis of human oocytes and corresponding granulosa cells (GCs) spanning five follicular stages, we revealed unique features in transcriptional machinery, transcription factor networks and reciprocal interactions in human oocytes and GCs that displayed developmental-stage-specific expression patterns. Notably, we identified specific gene signatures of two cell types in particular developmental stage that may reflect developmental competency and ovarian reserve. Additionally, we uncovered key pathways that may concert germline-somatic interactions and drive the transition of primordial-to-primary follicle which represents follicle activation. Thus, our work provides key insights into the crucial features of the transcriptional regulation in the stepwise folliculogenesis and offers important clues for improving follicle recruitment in-vivo and restoring fully competent oocytes in-vitro.

2018-11-20 | GSE107746 | GEO

Obesity modulates cell-cell interactions during ovarian folliculogenesis

Project description:Obesity modulates cell-cell interactions during ovarian folliculogenesis

| PRJNA597845 | ENA

Interactions between different maturation states of oocytes and granulosa cells in human antral follicles identified by single-cell transcriptomics

Project description:Human ovarian folliculogenesis is an highly regulated and complex process. Characterization of follicular cell signatures during this dynamic process is important to understand follicle fate (to grow, become dominant or undergo atresia). The transcriptional signature of human oocytes and granulosa cells (GC) in early-growing and ovulatory follicles have been previously described, however that of oocytes with surrounding GCs in small antral follicles have not been studied yet. Here, we have generated a unique dataset of single-cell transcriptomics (SmartSeq2) consisting of the oocyte with surrounding GCs from several individual (non-dominant) small antral follicles isolated from adult human ovaries. We have identified two main types of (healthy) follicles, with a distinct oocyte and GC signature. Using the CellphoneDB algorithm, we then investigated the bi-directional ligand-receptor interactions regarding the TGFβ/BMP, WNT, NOTCH, and receptor tyrosine kinases (RTK) signaling pathways between oocyte and GCs within each antral follicle type. Our work not only revealed the diversity of small antral follicles but also contributes to fill the gap in mapping the molecular landscape of human folliculogenesis and oogenesis.

2021-10-26 | GSE186504 | GEO

Dynamic transcriptome and chromatin architecture in granulosa cells during chicken folliculogenesis

Project description:Ovarian follicle development is a complex and well-orchestrated biological process. Granulosa cells (GCs) are the most important somatic cells in the ovary, which play important roles in the growth of follicles. Three-dimensional (3D) chromatin architecture has emerged as an important regulator of transcription in eukaryote, but how these changes in granulosa cells during folliculogenesis of chicken are largely unexplored. Here, we performed an integrative analysis of transcriptomic and chromatin structural characterization for chicken follicular granulosa cells of 10 and 3 growth stages respectively.

2021-11-10 | GSE181756 | GEO

overview of gene expression dynamics during sheep early ovarian folliculogenesis

Project description:Separate transcription profiling of oocytes and granulosa cells for each follicle stage: primordial (PD), primary (PM), secondary (SC) follicles and the small antral stage (SA) obtained by Laser Capture Microdissection (LCM) and RNAseq. The purpose of this study was to describe global gene expression during early ovarian folliculogenesis for each follicular compartment, to identify differential and specific gene expression between the 2 follicular compartments and during follicular development, to investigate specific function and pathways and to explore bi-directional communication between oocytes and GC.

2014-01-29 | E-MTAB-1587 | biostudies-arrayexpress

Transcriptome Landscape of Human Folliculogenesis Reveals Oocytes and Granulosa Cells Interactions

Project description:Transcriptome Landscape of Human Folliculogenesis Reveals Oocytes and Granulosa Cells Interactions

| PRJNA421274 | ENA

Global gene analysis of oocytes from early stages in human folliculogenesis

Project description:Global gene analysis of oocytes from early stages in human folliculogenesis

2012-02-29 | E-MEXP-3454 | biostudies-arrayexpress

Obesity and sex hormones interact to promote CSF hyperdynamics in an obese rodent model of idiopathic intracranial hypertension

Project description:Idiopathic intracranial hypertension (IIH) is a syndrome exhibiting elevated intracranial pressure (ICP), visual disturbances, and severe headache. IIH primarily affects young obese women, though it can occur in individuals of any age, BMI, and sex. IIH is characterized by systemic metabolic dysregulation with a profile of increased androgen hormones. However, the contributions of obesity/hormonal perturbations to cerebrospinal fluid (CSF) dynamics remains unresolved. We employed obese female Zucker rats and adjuvant testosterone to reveal IIH causal drivers. ICP and CSF dynamics were determined with in vivo experimentation and magnetic resonance imaging, testosterone levels assessed with mass spectrometry, and choroid plexus function revealed with transcriptomics. Obese rats had undisturbed CSF testosterone levels and no changes in ICP or CSF dynamics. Chronic adjuvant testosterone treatment of obese rats elevated the CSF secretion rate, although with no effect on the ICP, due to the elevated CSF drainage capacity of these rats. Obesity in itself therefore does not suffice to recapitulate the IIH symptoms, but modulation of CSF dynamics comes about with adjuvant testosterone treatment, mimicking the androgen excess observed in female IIH patients. Obesity-induced androgen dysregulation may thus play a crucial role in the disease mechanism of IIH.

2024-01-31 | GSE232814 | GEO

Yakimchuk2019 - Mathematical modeling of immune modulation by glucocorticoids

Project description:Mathematical modeling of immune modulation by glucocorticoids Konstantin Yakimchuk https://doi.org/10.1016/j.biosystems.2019.104066 Abstract The cellular and molecular mechanisms of immunomodulatory actions of glucocorticoids (GC) remain to be identified. Using our experimental findings, a mathematical model based on a system of ordinary differential equations for characterization of the regulation of anti-tumor immune activity by the both direct and indirect GC effects was generated to study the effects of GC treatment on effector CD8+ T cells, GC-generated tolerogenic dendritic cells (DC), regulatory T cells and the growth of lymphoma cells. In addition, we compared the data from in vivo and in silico experiments. The mathematical simulations indicated that treatment with GCs may suppress anti-tumor immune response in a dose-dependent manner. The model simulations were in line with earlier experimental observations of inhibitory effects of GCs on T and NK cells and DCs. The results of this study might be useful for predicting clinical outcomes in patients receiving GC therapy.

2020-01-06 | MODEL1912170005 | BioModels

Enhanced Inflammatory Transcriptome in the Granulosa Cells of Women With Polycystic Ovarian Syndrome

Project description:Context: Polycystic ovarian syndrome (PCOS), the most common endocrine disorder of reproductive- aged women, is associated with systemic low-grade inflammation. Objective: We propose that increased or altered intrafollicular inflammatory reactions also occur in periovulatory follicles of PCOS patients. Design: Gene profiling and quantitative PCR (qPCR) analyses in granulosa-lutein cells (GCs) collected from PCOS and non-PCOS women undergoing in vitro fertilization were compared with serum and follicular fluid (FF) levels of cytokines and chemokines. Setting: This was a university-based study. Patients: Twenty-one PCOS and 45 control patients were recruited: demographic, hormone, body mass index, and pregnancy outcomes were abstracted from patient data files. Interventions:GCcytokine/chemokinemRNAswere identified and analyzed by gene-chip microarrays/ qPCR before and after culture withhumanchorionic gonadotropin, DHT, IL-6, or IL-8; serum/FF cytokine levels were also analyzed. Main Outcome Measures: Relative serum/FF cytokine levels and GC cytokine expression before and after culture were compared and related to body mass index. Results: The following results were found: 1) PCOS GCs express elevated transcripts encoding cytokines, chemokines, and immune cell markers, 2) based on gene profiling and qPCR analyses, obese PCOS patients define a distinct PCOS disease subtype with the most dramatic increases in proinflammatory and immune-related factors, and 3) human chorionic gonadotropin and DHT increased cytokine production in cultured GCs, whereas cytokines augmented cytokine and vascular genes, indicating that hyperandrogenism/elevated LH and obesity in PCOS women augment intrafollicular cytokine production. Conclusions: Intrafollicular androgens and cytokines likely comprise a local regulatory loop that impacts GC expression of cytokines and chemokines and the presence of immune cells; this loop is further enhanced in the obese PCOS subtype.

2017-08-07 | GSE102293 | GEO

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