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PubMed2026

A network of steroid receptor transcription factors regulates ovarian chromatin remodeling in the transition to ovulation.

Steroid receptors are transcription factors activated by progesterone, androgen, and glucocorticoid that bind the same canonical DNA sequence to modulate genome function in response to steroid hormones. However, the mechanisms defining unique physiological roles of these conserved receptors within the same tissue context, including the ovary, remain elusive. Here, we describe the dynamic association between each steroid receptor cistrome in the mouse ovary responding to the hormonal switch from follicle development to ovulation and generate chromatin conformation maps to define steroid receptor roles in promoter-enhancer interactions and gene transcription. Ovulatory hormones trigger progesterone receptor (PGR) and glucocorticoid receptor (NR3C1 [also known as GR]) binding to novel chromatin sites, promoting transcriptional activation of genes that are required for ovulation, whereas AR-chromatin interactions and androgen receptor (AR)-associated genes are repressed. Integration of genomic and transcriptomic data illustrates two parallel modes of PGR-mediated gene activation. Unique cooperation between PGR and GR enables their recruitment to previously inaccessible promoters, increasing histone acetylation, chromatin accessibility, and transcription activation, with PGR being the indispensable component of this transcriptional complex. Alternatively, PGR tethered to enhancers interacting with preaccessible, AR/GR-bound promoters induces gene activation. Our findings illustrate the multifaceted steroid receptor interactions that translate progressive change in steroid environments to collectively reprogram granulosa cell genome function to switch from follicle development to ovulation.

Journal Article↗

PubMed2026

PAFAH1B1 governs follicular development by modulating the protein complex of CCNE1-CDK2-CDK1 to induce cell cycle arrest.

BACKGROUND: Ovarian follicle development plays a crucial role in mammalian fertility, which is primarily regulated by granulosa cell (GC) proliferation and cell cycle. Cell cycle dysregulation collectively might drive follicular atresia through GC dysfunction. However, the underlying molecular mechanisms remain largely unexplored. METHODS: The scRNA-seq and integrative analysis revealed that PAFAH1B1 was involved in cell cycle. Functional assays, including overexpression/knockdown, flow cytometry, EdU, HE, and TUNEL, confirmed that PAFAH1B1 regulated cell cycle and follicular development in vitro and in vivo. CoIP showed that PAFAH1B1 bound CCNE1-CDK2-CDK1 to arrest G2/M phase. Chromatin accessibility and CRISPR/dCas9-TET1 demonstrated that DNA methylation modulated PAFAH1B1 transcription. RESULTS: A novel regulator of cell cycle, PAFAH1B1, was identified in Pig Genotype-Tissue Expression (PigGTEx). During GC proliferation, we found that PAFAH1B1 transcription was correlated with the distribution rate of G1 phase in GCs. PAFAH1B1 protein was confirmed to specifically bind to CCNE1-CDK2-CDK1 to arrest G2/M phase. Notably, PAFAH1B1 appeared to hinder the development of follicles. Furthermore, the demethylation significantly promoted the transcription activity and chromatin accessibility of CpG island (-7 bp to +170 bp) of PAFAH1B1. Taken together, PAFAH1B1 physically interacted with the CCNE1-CDK2-CDK1 complex to arrest G2/M phase and inhibit the GCs proliferation and follicular development. Additionally, demethylation of CpG island significantly promoted the transcription of PAFAH1B1. CONCLUSION: These findings not only advance understanding of cell proliferation and cycle regulation but also identify PAFAH1B1 as a candidate gene for further investigation in follicular development.

CCNE1-CDK2-CDK1 complex↗

PubMed2025

Celastrol modulates IRS1 expression to alleviate ovarian aging and to enhance follicular development.

Ovarian aging significantly contributes to the decline of the female reproductive system, adversely affecting fertility and endocrine homeostasis. To address the challenges posed by reproductive aging, natural products have shown promising preventive and therapeutic effects. Here, we investigated the beneficial effects of natural compound celastrol on ovarian development and aging, together with its underlying mechanisms. We found that celastrol administration at a concentration of 3 mg/kg promoted follicle development in young mice and enhanced porcine oocyte maturation, while regulating granulosa cell proliferation and apoptosis. In 12-month-old mice (equivalent to middle-aged adults), celastrol exhibited similar beneficial effects. Transcriptomic analysis revealed that differentially expressed genes post-celastrol treatment were associated with steroid biosynthesis, estrogen signaling pathways, type 2 diabetes, insulin secretion, meiosis, and apoptosis. Additionally, insulin receptor substrate 1 (IRS1), an adapter protein in insulin signaling, was shown to advance puberty in young mice and to facilitate oocyte maturation. Overexpression of IRS1 in oocytes promoted follicular development and oocyte maturation, resulting in enhanced steroid hormone levels, whereas IRS1 knockdown inhibited these processes. Our findings indicate that celastrol may regulate ovarian development and aging by modulating IRS1 expression and its related pathways, suggesting celastrol as a novel small-molecule compound targeting IRS1, and offering new perspectives for potential therapeutic strategies against reproductive aging and infertility.

Animals↗

PubMed2026

Large-scale low-coverage whole-genome sequencing reveals the genetic architecture of wool and growth traits in fine-wool sheep.

Breeding sheep with superior growth performance and wool quality is essential for the sustainability of the fine-wool sheep industry. In this study, we perform low-coverage whole-genome sequencing (lcWGS) on 3842 individuals from 5 sheep breeds (4 fine-wool and 1 semi-fine wool) and generate a large genomic dataset. By comparing these breeds with coarse-wool sheep, we characterize the genomic landscape and selection signatures of fine-wool sheep. We identify several known functional genes associated with hair follicle development and skin morphology, including EGFR, KRT74, EDAR, EREG, and GLI2. Furthermore, GWAS of 19 traits identifies 156 candidate genes significantly associated with growth and wool characteristics, including LCORL for body size, EGFR for clean wool yield, and PRDM1 for fiber diameter. Notably, EGFR is detected in both GWAS and selection signature analyses, indicating its important role in phenotype formation and historical selection. Overall, our findings reveal the genetic basis of growth and wool traits in fine-wool and semi-fine wool sheep, highlight EGFR, LCORL, and PRDM1 as candidate genes, and provide valuable genomic resources and candidate markers for future functional validation and molecular breeding.

Body size↗

PubMed2026

Four-dimensional molecular mapping from a spatial snapshot reveals the dynamics of hair follicle organogenesis.

Understanding organ formation requires capturing molecular information simultaneously in three-dimensional (3D) space and across developmental time. To this end, we developed 3D DNase-Enhanced Expression Profiling (3DEEP), a tissue-clearing approach that removes genomic DNA to extend spatial transcriptomic profiling hundreds of microns into intact tissues. We applied 3DEEP to neonatal mouse skin, capturing hundreds of developing hair follicles across their organogenesis trajectory. Ordering follicles by molecularly inferred developmental age transformed this single spatial snapshot into a four-dimensional (3D + time) molecular map of organogenesis. This map revealed developmental dynamics spanning stem cell compartment stratification, emergence of new cell subtypes within the follicle, and cascading structural transformations leading to hair canal formation. Comparative analysis of Foxn1-deficient nude mice, a hairlessness model, revealed organ-wide changes in developmental dynamics, including delayed molecular progression, reduced coordination, and increased developmental instability, preceding overt structural defects. This work demonstrates how deep-tissue spatial transcriptomics can uncover hidden dynamics of organ formation.

Animals↗

PubMed2026

Mapping ovarian cellular and molecular landscape across the lifespan of women: a scoping review.

BACKGROUND: With growing interest in ART, fertility preservation, and postmenopausal health of women, reproductive medicine is increasingly focused on characterizing oocytes and ovarian tissue composition, as well as understanding the molecular mechanisms that guide ovarian function throughout its lifecycle. High-throughput omics technologies have enabled the characterization of different molecular layers, leading to substantial advances in our understanding of their complex dynamics. However, not all molecular aspects are studied equally, and studies examining the same modalities often show inconsistencies, underscoring the need for data standardization and highlighting the potential for using transformative artificial intelligence and machine-learning (AI/ML) methods for ovary studies. OBJECTIVE AND RATIONALE: This study aims to evaluate how multi-omic studies have advanced our understanding of the ovarian lifecycle from fetal development to postmenopause. We systematically reviewed published studies that have investigated molecular/omic layers, including the genome, methylome, transcriptome, and proteome throughout ovarian development and aging. Our analysis identified key molecular and cellular patterns, highlighted inconsistencies across studies and addressed gaps in data analysis, interpretation, and reproducibility to guide future research. SEARCH METHODS: We conducted a systematic literature search of Medline (PubMed), Embase (Ovid), and Web of Science Core Collection (Clarivate) using a combination of controlled and free text terms for human ovary, oogenesis, folliculogenesis, ovary development and (epi)genome, transcriptome, proteome, and multi-omic mechanisms to find relevant articles published before August 2025. To focus the scope of the current review, studies of domesticated and farm animals, rodents and other model organisms, non-human primates, as well as those examining various human ovarian pathologies were excluded. OUTCOMES: The search identified 23 546 studies for screening, of which 637 full-text studies were assessed for eligibility. Subsequently, we extracted data from 121 studies. Most studies analyzed the transcriptome of oocytes, granulosa cells, and ovarian tissue from reproductive-age individuals (n = 91), with fewer studies examining samples from individuals of advanced reproductive age (n = 45) and fetal (n = 16) samples. Transcriptome analyses were most common (n = 103, 85%), followed by proteome (n = 19, 16%) and epigenome (n = 14, 12%) studies. We found substantial variation in how studies defined and reported participants' groups as well as in their sequencing technologies and data analysis methods, with a lack of standardized reporting of background clinical information, data analysis methods, and pipeline details. The key findings underscore the prevailing consensus on genes defining major ovarian cell types and their roles throughout the ovarian lifespan, from prenatal development to postmenopausal transformation. This review highlighted the underrepresentation of certain patient groups, particularly prepubertal and peri-/postmenopausal individuals, among researched populations, due to obvious clinical and ethical reasons. WIDER IMPLICATIONS: This scoping review offers a comprehensive overview and benchmark of the current state of high-throughput omics-based research on ovarian cellular composition and molecular dynamics. To address these shortcomings, we propose general recommendations for multi-omics ovary studies and emphasize the necessity for more thorough multi-omic data integration by effectively applying novel AI/ML approaches. They can potentially improve the quality of multi-omics analyses at both single-cell and tissue levels despite limited sample sizes and enable integration of molecular profiling data with clinical and radiology datasets, enabling a more comprehensive understanding of ovarian biology. Such advancements can enhance reproducibility of research findings and guide future research to deepen our understanding of ovarian biology and ultimately support the development of medical technologies for better preserving fertility and alleviating infertility. REGISTRATION NUMBER: A protocol was published a priori on the Open Science Framework (https://osf.io/z38gb/).

Female↗

PubMed2026

Ovarian H3K27ac remodeling is associated with impaired follicular development in laying hens with fatty liver hemorrhagic syndrome.

Fatty liver hemorrhagic syndrome (FLHS) is a metabolic disease of laying hens that reduces egg production and is accompanied by reproductive impairment, but the ovarian regulatory mechanisms that connect nutritional stress to follicular dysfunction remain unclear. This study examined whether active chromatin remodeling in the ovary is associated with FLHS induced by a high-energy, low-protein (HELP) diet. Hy-Line Brown hens were assigned to a basal diet or HELP diet, and ovarian tissue was collected for histone H3 lysine 27 acetylation (H3K27ac) chromatin immunoprecipitation sequencing and RNA sequencing. The HELP diet reduced laying performance and the numbers of small yellow and hierarchical follicles, indicating compromised follicular development. Genome-wide H3K27ac profiling identified 2,111 regions with lower acetylation and 1,707 regions with higher acetylation in FLHS ovaries. Genes linked to differential H3K27ac regions were enriched in pathways related to oocyte meiosis, cell cycle control, FoxO signaling, gonadotropin-releasing hormone signaling, and steroid hormone biosynthesis. RNA sequencing identified 341 differentially expressed genes, with a predominance of downregulated genes. Integration of chromatin and transcriptome data highlighted folliculogenesis-related genes, including FGF1, FGF9, and MMP10, that showed reduced H3K27ac enrichment together with decreased expression. Super-enhancer analysis further identified 131 regions with reduced H3K27ac signal in FLHS ovaries, including regions located near PCNA and RAP1A, two genes involved in cellular proliferation and survival signaling. Motif enrichment of differential H3K27ac regions implicated Fos, SF-1/NR5A1, and GATA-4 as candidate transcriptional regulators. These findings indicate that HELP diet-induced FLHS is associated with broad attenuation of active ovarian regulatory elements and reduced expression of genes required for follicle growth, tissue remodeling, and steroidogenic function. The study provides an ovarian epigenomic framework for understanding reproductive decline in FLHS-affected laying hens.

Fatty liver hemorrhagic syndrome↗

PubMed2026

Sharp cell type boundaries emerge from coordinated morphogen signaling.

Classic models of the French flag problem depict sharp cell type boundaries emerging from threshold responses to morphogen gradients. How discrete cell type boundaries arise from morphogen signals that vary continuously across developing tissues remains incompletely understood. We use hair follicle dermal condensate (DC) formation to study a sharp developmental transition in which proliferative progenitors undergo cell cycle exit concurrent with molecular differentiation. Using genetic and genomic approaches, we show that Wnt and Hedgehog signaling coordinate separable cellular events during DC commitment. Elevated Wnt signaling promotes cell cycle exit through reduced chromatin binding of the Hedgehog mediator GLI3, while Hedgehog signaling induces differentiation genes in a Wnt-dependent manner and simultaneously elevates Wnt activity. When these responses coincide, differentiation and cell cycle exit occur together, limiting the duration and abundance of intermediate states and producing a sharp boundary. When they do not, intermediate states persist and expand, producing a graded boundary. Thus, a sharp boundary can emerge from a continuous transition that is compressed in time and space.

Hedgehog↗

PubMed2025

Single-cell-scale spatial transcriptome of the developing and adult mouse ovary.

Mammalian ovary development is essential for female fertility, involving the complex spatial patterning of diverse cell types to establish the finite reserve of ovarian follicles. While single-cell transcriptome analyses have provided important insights into the mechanisms driving specification and developmental trajectories of ovarian cells, they disrupt this crucial spatial context. To overcome this limitation, we used 10X Genomics Visium HD spatial transcriptomics to analyze the developing mouse ovary while maintaining its native cellular architecture. We captured all ovarian cell types at eight key fetal and postnatal timepoints, generating a near single cell resolution library of spatial gene expression across ovarian development. This comprehensive dataset allows analysis of dynamic transcriptional signatures associated with unique spatial patterning throughout development, including the establishment of cortex and medulla and assembly of ovarian follicles in each region. This dataset represents a fundamental resource for the investigation of regulatory mechanisms driving spatial patterning of the ovary and opens new avenues to explore the spatial determinants of female fertility and reproductive longevity.

Journal Article↗

PubMed2025

Evaluating Selective Quality Control in Mammalian Oogenesis: Evidence and Opportunities.

The formation and maintenance of the finite mammalian ovarian reserve are critical for fertility and species survival. Genetic and developmental studies have uncovered various mechanisms underlying oocyte development and maturation, revealing two curious features of the ovarian germline: (a) The establishment of the follicle reserve involves an initial massive overproduction of oocyte precursors, and (b) the total number of ovulated oocytes across an animal's fertile lifetime is a very small proportion of the initial ovarian reserve. Many have proposed that this indicates the existence of selective quality control to ensure gamete fitness. Here, we review the findings underlying the hypotheses for germline quality control during prepubertal development, homeostatic fertility, and reproductive aging. We evaluate whether the existing evidence base distinguishes the active selection of specific germ cell subsets from neutral dynamics. Throughout, we discuss strategies for applying statistical frameworks to evaluate selection in oogenesis and the implications of neutrality versus selection at various points in oocyte development.

Oogenesis↗

PubMed2025

Trade-off between antibacterial immune defense and oogenesis progression in female Drosophila melanogaster.

Trade-offs between reproduction and immunity are common in animals, potentially due to preferential allocation of limiting resources. In Drosophila melanogaster, mating stimulates egg production but also triggers a rapid and persistent decrease in female immune defense. Proteins essential for both processes are produced in fat body tissue, which may result in competition for cellular resources that could drive a functional trade-off between reproduction and immune defense. We predicted that arrest of oogenesis prior to egg provisioning would alleviate postmating immune suppression because cellular stress would be relieved, but that postmating immune suppression would be observed in genotypes that fully provision eggs even if fertility is compromised. In the present study, we test these predictions by evaluating postmating immune competence in mated D. melanogaster mutants that arrest oogenesis either prior to, or subsequent to, vitellogenesis. Consistent with our prediction, we find that mated female immune defense is maintained when egg development is arrested prior to vitellogenesis. We find that progression through the vitellogenic stages of oogenesis results in postmating immune suppression, except in the case of a mutant with an egg-retention phenotype, where we infer that the failure to lay eggs results in feedback that inhibits subsequent egg development. We additionally show that elimination of yolk protein synthesis in the fat body and follicle cells of the ovary partially restores female immune capacity. Nevertheless, females that lack yolk protein genes still experience partially reduced immune capacity after mating, suggesting that other reproductive demands also suppress immune defense.

Animals↗

PubMed2024

Integrative Omics Reveals the Metabolic Patterns During Oocyte Growth.

Well-controlled metabolism is associated with high-quality oocytes and optimal development of a healthy embryo. However, the metabolic framework that controls mammalian oocyte growth remains unknown. In the present study, we comprehensively depict the temporal metabolic dynamics of mouse oocytes during in vivo growth through the integrated analysis of metabolomics and proteomics. Many novel metabolic features are discovered during this process. Of note, glycolysis is enhanced, and oxidative phosphorylation capacity is reduced in the growing oocytes, presenting a Warburg-like metabolic program. For nucleotide biosynthesis, the salvage pathway is markedly activated during oocyte growth, whereas the de novo pathway is evidently suppressed. Fatty acid synthesis and channeling into phosphoinositides are specifically elevated in oocytes accompanying primordial follicle activation; nevertheless, fatty acid oxidation is reduced in these oocytes simultaneously. Our data establish the metabolic landscape during in vivo oocyte growth and serve as a broad resource for probing mammalian oocyte metabolism.

Animals↗

PubMed2026

Transcriptomic Insights into Acupuncture Mechanisms in Protecting Ovarian Function in Mice with Premature Ovarian Insufficiency.

OBJECTIVE: To explore the molecular mechanisms underlying the protective effect of acupuncture on ovarian function in mice with cyclophosphamide-induced premature ovarian insufficiency (POI) via transcriptomic analysis. METHODS: Twenty female C57BL/6 mice were divided into 4 groups: control, model, acupuncture, and non-meridian/non-acupoint (NOMA). POI was induced in the model, acupuncture, and non-meridian/non-acupoint groups via cyclophosphamide injection. The acupuncture group received acupuncture at Guanyuan (CV 4), bilateral Guilai (ST 29), and Sanyinjiao (SP 6) for 3 weeks. After the intervention, ovarian tissue weight and ovarian coefficient were calculated, serum levels of key reproductive hormones including follicle-stimulating hormone (FSH), luteinizing hormone (LH) and anti-Müllerian hormone (AMH) were detected, and ovarian histopathological changes were observed to evaluate ovarian function. Transcriptome sequencing was performed to identify differentially expressed genes (DEGs), followed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses to explore key functional terms and signaling pathways. Western blot was finally applied to validate the expression of core proteins related to mitochondrial function, endoplasmic reticulum stress and inflammatory pathways. RESULTS: The model group showed reduced ovarian weight and elevated FSH levels. The acupuncture group exhibited significantly higher ovarian weight and coefficient, lower FSH levels, and increased E2 and AMH levels compared to the model group (all P<0.01). Transcriptomic analysis revealed 4,021 DEGs between groups. GO and KEGG analyses revealed that these DEGs were mainly involved in oocyte development, steroid hormone synthesis, and pathways related to mitochondrial function, endoplasmic reticulum stress, and inflammatory signaling. Western blot analysis showed that acupuncture partially restored mitochondrial function markers cytochrome c oxidase subunit IV and NADH dehydrogenase 1 beta subcomplex subunit 8 and reduced endoplasmic reticulum stress markers (glucose-regulated protein 78 and Calnexin, P<0.01). It also downregulated pro-inflammatory proteins (IL-17R, IL-17A, NF-κB p65, p-NF-κB p65, ERK1/2, and p-ERK1/2) and upregulated proteins related to metabolic homeostasis (peroxisome proliferator-activated receptor γ, receptor-interacting protein 140, nicotinamide phosphoribosyltransferase, and sirtuin 1, P<0.01). CONCLUSION: Acupuncture effectively alleviates cyclophosphamide-induced POI in mice, improves ovarian function and follicular quality by regulating cellular functions and inflammatory pathways, suggesting a novel therapeutic approach for POI.

acupuncture↗

PubMed2025

Amino acid profiles, aging, and sex hormone interactions in the elderly Iranian population: a metabolomics study.

BACKGROUND: Aging and sex hormones significantly influences on metabolic profiles, particularly in individuals aged 50 year and older. This study aimed to investigate the associations between serum metabolites, aging, and sex hormone levels among elderly individuals in Bushehr, Iran - a coastal region characterized by a unique lifestyle, dietary patterns, and environmental conditions, such as high seafood consumption and exposure to marine climate, which may collectively influence metabolic profiles and hormone levels in the aging population. METHODS: This cross-sectional study analyzed data from the Bushehr Elderly Health Program, which included 2001 participants (1143 women and 858 men) aged over 50 years old from Bushehr, Iran. Serum levels of 20 amino acids were measured using liquid chromatography-tandem mass spectrometry (LC-MS/MS) and the results were analyzed based on gender, age, menopause status, menopause age, and serum levels of sex hormones such as follicle-stimulating hormone (FSH), luteinizing hormone (LH), testosterone, and estradiol (E2). Statistical analyses were performed using SPSS version 25.0 and R version 4.0.3, with a focus on gender differences and the correlation between aging, sex hormones, and metabolite profiles. RESULTS: Among the 2001 participants, mean ages were 61.57 ± 7.6 years for women and 62.92 ± 8.4 years for men. Men had higher serum levels of glutamic acid, leucine, methionine, phenylalanine, tyrosine, valine, citrulline, ornithine, proline, threonine, histidine, lysine, tryptophan, asparagine, and glutamine, while women had higher levels of glycine and serine. Aging was associated with notable changes in amino acid levels, such as increased citrulline and decreased threonine in women, and similar trends in men with a pronounced decrease in alanine. In men, low testosterone levels were linked to reduced concentration of alanine, methionine, phenylalanine, tyrosine, citrulline, glycine ornithine, serine, lysine, asparagine, and glutamine. Postmenopausal women showed a significant decrease in threonine levels. DISCUSSION: The findings highlight the complex interplay between aging, sex hormones, and metabolic changes. Gender-specific differences in amino acid profiles suggest that sex hormones play a pivotal role in modulating metabolism, which may influence susceptibility to metabolic disorders. These insights could inform the development of targeted interventions tailored to the specific needs of aging populations. Future research should investigate the underlying mechanisms linking sex hormones to metabolic pathways and assess their potential for improving health outcomes in older adults.

Aging↗