Ask about this productRelated genes to: FOXA2 antibody
- Gene:
- FOXA2 NIH gene
- Name:
- forkhead box A2
- Previous symbol:
- HNF3B
- Synonyms:
- -
- Chromosome:
- 20p11.21
- Locus Type:
- gene with protein product
- Date approved:
- 1998-02-11
- Date modifiied:
- 2016-10-05
Related products to: FOXA2 antibody
Related articles to: FOXA2 antibody
- Endometrial receptivity is essential for implantation and pregnancy, yet the role of the mA demethylase FTO remains unclear. We examined epithelial Fto and Wnt signaling during the implantation window using CRISPR/Cas9 Fto knockout mice analyzed at gestational day 4.5 and an Ishikawa and BeWo co-culture model. Histology, TUNEL, Immunofluorescence, mA meRIP-seq, CUT&Tag and qRT-PCR were applied. Fto uteri showed reduced weight, glandular loss, altered Ck18, vimentin and Foxa2, and increased Muc1. Fto deficiency elevated Wnt5b and reduced canonical Wnt/β-catenin activity, coincident with diminished H3K27me3 at the Wnt5b locus. Mechanistically, FTO loss increased mA on SUZ12 mRNA, lowering its stability, weakening PRC2 function and de-repressing WNT5B. Functionally, FTO depletion impaired spheroid adhesion and Wnt signaling, reversible by SUZ12 restoration or WNT5B inhibition. Thus, FTO preserves epithelial integrity and endometrial receptivity by stabilizing SUZ12 mRNA and maintaining H3K27me3 mediated repression of WNT5B, implicating the FTO/SUZ12/WNT5B axis in implantation failure. - Source: PubMed
Publication date: 2026/05/11
Zhang MingGuo FengjiaTan LinlinHu XiujuanLu JiafengLi JinchengXia WenjuanLi HongMeng QingxiaHuang Boxian - Accurate quantification of stem cell-derived dopaminergic neurons is essential for advancing cell therapy strategies in Parkinson's disease (PD). Traditional manual stereological methods, while robust, are time-consuming and subject to interobserver variability, limiting their scalability for preclinical and translational studies. This study presents the development and validation of an artificial intelligence (AI)-assisted physical fractionator workflow for unbiased and efficient quantification of human embryonic stem cell (hESC)-derived ventral midbrain dopaminergic (vmDA) neurons in a Parkinsonian rat model. The workflow integrates convolutional neural networks (U-net and DeepLabv3+) within the Visiopharm platform to automate tissue alignment, graft region identification, and cell segmentation/classification based on triple immunofluorescent labelling (TH, FOXA2, HNA). Human-in-the-loop review ensures quality control and allows for flexible adjustment of immunostaining thresholds. Performance was evaluated using paired datasets: brains from Study A (training, validation, and test set) and Study B (out-of-sample test set from a separate experiment). The AI-assisted workflow demonstrated segmentation and counting accuracy comparable to human experts, with high precision, sensitivity, and high F1 scores for both segmentation and quantification. Results showed no significant differences between AI-assisted and manual quantification of total human cells and vmDA neurons across studies, and the workflow substantially reduced hands-on analysis time from 8 h to 1 h per graft. The investment required for AI model development, annotation, and optimization in the initial phase took several months and is regarded as a one-time infrastructure investment. Additionally, the workflow's design enables adaptability for other cell types by integrating relevant markers. These findings highlight the potential of AI-assisted stereological workflows to accelerate and standardize cell quantification in preclinical research, with potential relevance for translational research settings in cell therapy development. - Source: PubMed
Publication date: 2026/05/09
Overgaard AgneteMolnár KataJurtz Vanessa IsabellLie Maria Elena KliboNyengaard Jens Randel - Ovarian clear cell carcinoma (OCCC) is a rare aggressive, and chemo-resistant subtype of epithelial ovarian cancer. Current limitations in precisely characterizing its molecular features have resulted in restricted availability of clinical targeted therapies and significant therapeutic challenges. - Source: PubMed
Publication date: 2026/05/06
Wu YongGuo XinyiWang TiantianZhao TianyiChen SiyuSu YingLi QinZhu JunXia LingfangJu XingzhuWu XiaohuaHuang ShenglinHu ZhixiangChen Xiaojun - During the past decade, emerging studies using electrochemistry and nanoscale imaging have demonstrated that partial exocytotic release is prevailing in neuroendocrine cell models. However, due to complicated structure and culture process, few studies have been carried out using neurons, especially human neurons. Here, dopamine (DA) release from individual vesicles and DA content stored within vesicles were quantified from induced pluripotent stem cell-derived DA neurons with electrochemical techniques. The results indicate that around 61% of the total vesicular DA content is released from these neurons during exocytosis. The vesicular content quantified in DA neurons is significantly higher than that in undifferentiated neural progenitor cells, owing to the increased appearance of dense-core vesicles that are able to store more DA molecules than the clear vesicles. When the neurons are differentiated with BAY-K8644, which stimulates neuronal maturation as well as DA release, the release fraction rises to 91%. The use of BAY-K8644 can be considered as chronic stimulation and leads to similar effects on exocytosis as repetitive stimulation, which triggers short-term plasticity. This study demonstrates partial release in DA transmission in human neurons and provides a link between neuronal maturation and the formation of plasticity. Furthermore, this work suggests that the fraction of release in exocytosis at human neurons may be a factor in determining plasticity. - Source: PubMed
Publication date: 2026/03/23
Gu ChaoyiLork AliciaMajdi SoodabehRabasco StefaniaPeng HuashanNi AnjieErnst CarlEwing Andrew G - Despite decades of biochemical and structural studies of the nucleosome, researchers lack genome-scale methods to determine variability in nucleosome structure along individual chromatin fibres. To address this, here we present Iteratively Defined Lengths of Inaccessibility (IDLI), a computational method that maps the single-molecule co-occupancy of structurally distinct nucleosomes, subnucleosomes and other protein-DNA interactions through long-read single-molecule footprinting. IDLI classifies methylase-inaccessible footprints on individual chromatin fibres into (i) linker-histone-associated nucleosomes; (ii) nucleosomes with focal DNA accessibility along the nucleosome wrap; (iii) unwrapped nucleosomes; and (iv) subnucleosomal species such as hexasomes, tetrasomes and other short DNA protections. Applying IDLI to chromatin from mouse embryonic stem cells, we discover that more than 85% of nucleosomes exhibit intranucleosomally accessible DNA (nucleosome 'distortion'). We observe epigenomic-domain- and expression-level-specific patterns of distortion, including at promoters and mouse satellite repeat sequences. Transcription factor (TF) motif occurrence correlates significantly with distinct types of distortion, and degron experiments provide evidence of direct regulation by TFs. We apply IDLI to in vitro endoderm differentiation in human induced pluripotent stem cells and primary mouse hepatocytes. In both cases, we observe distortion at pioneer TF FOXA2 binding sites, demonstrating that distortion is developmentally encoded and present in vivo. Finally, genetic experiments in mice show that a nucleosome-binding domain of FOXA2 directly affects nucleosome structure in vivo, implicating these protein-nucleosome interactions as direct mediators of distortion. Our work suggests extreme but regulated nucleosome structural variability at the single-molecule level. Furthermore, our approach offers opportunities to model TF binding, nucleosome remodelling and cell-type-specific chromatin regulation across biological contexts. - Source: PubMed
Publication date: 2026/04/29
Yang Marty GRichter Hannah JWang SimaiMcNally Colin PMoore Camille MEmadi AliHarris Nicole EDhillon SimaronMaresca MichelaPan HuiminSaunders HaydenYang RuiqiaoOstrowski Megan SAnderson Erika Cde Wit ElzoMaher Jacquelyn JFan YuhongNarlikar Geeta JNora Elphège PWillenbring HolgerGoodarzi HaniRamani Vijay