FOXN1 antibody - N-terminal region (ARP30053_T100)
- Known as:
- FOXN1 (anti-) - N-terminal region (ARP30053_T100)
- Catalog number:
- arp30053_t100
- Product Quantity:
- USD
- Category:
- -
- Supplier:
- Aviva Systems Biology
- Gene target:
- FOXN1 antibody - N-terminal region (ARP30053_T100)
Related genes to: FOXN1 antibody - N-terminal region (ARP30053_T100)
- Gene:
- FOXN1 NIH gene
- Name:
- forkhead box N1
- Previous symbol:
- WHN, RONU
- Synonyms:
- FKHL20
- Chromosome:
- 17q11.2
- Locus Type:
- gene with protein product
- Date approved:
- 1998-10-07
- Date modifiied:
- 2019-04-23
Related products to: FOXN1 antibody - N-terminal region (ARP30053_T100)
Related articles to: FOXN1 antibody - N-terminal region (ARP30053_T100)
- Periodontitis is a chronic inflammatory condition linked to systemic diseases, yet the neuroendocrine mechanisms underlying its pathogenesis remain unclear. This study aimed to elucidate neuroendocrine-related molecular pathways involved in periodontitis. Transcriptomic data and neuroendocrine-related genes (NRGs) were integrated to identify candidate genes from the overlap between differentially expressed genes (DEGs) and NRGs. Machine learning, ROC analysis and expression validation were used to screen key genes and construct a diagnostic nomogram. Functional enrichment, immune infiltration, drug prediction, molecular docking and single-cell analyses were performed. Key gene expression was further validated using clinical samples. Nine candidate genes were obtained from the intersection of 210 DEGs and 1441 NRGs. Five key genes-FOXN1, XBP1, HCLS1, IRF4 and RORA-were identified and used to develop an effective diagnostic model. These genes showed distinct tissue and cellular distributions and were enriched in pathways such as Ribosome and Protein processing in the ER. Sixteen immune cell types differed between groups, and 24 potential drugs, including melatonin, were predicted. Single-cell analysis highlighted T cells and Endothelial cells as central cell populations. PCR results aligned with bioinformatic findings. Five neuroendocrine-related genes were identified as potential diagnostic biomarkers and therapeutic targets, offering new insights into the neuroendocrine mechanisms of periodontitis. - Source: PubMed
Zhang JiaguanLiu ZiyanDeng JianqingHuang PeishanLiu Huijuan - Adipocyte depots throughout the body are physiologically and molecularly distinct. With age, adipocytes increase in and around aged thymi. Yet thymic adipocytes lack molecular characterization. We developed methods to isolate adipocyte nuclei from mouse thymi. Single-nucleus multi-omic analysis of male and female mice aged 4-9 months reveals that thymic adipocytes are heterogeneous, with two distinct populations. One subpopulation harbors a transcription and chromatin signature consistent with beige fat. Another subpopulation resembles classic white adipose tissue and expresses genes associated with epithelial-to-mesenchymal transition (EMT). Analysis of differentially open chromatin identifies binding sites for Foxn1 and HIF-1α/Arnt in the white adipose population, consistent with a thymic epithelial and/or hypoxic origin for these cells. Immunofluorescence confirmed the expression of UCP1 protein in cells in subcapsular cortical regions of the thymic parenchyma. This resource reveals a complex milieu of thymic adipocytes and identifies multiple avenues for probing their ontogeny, dynamics, and functional significance. - Source: PubMed
Publication date: 2026/08/11
Schwakopf JoonSyage Amber RFranzini AncaVarley Katherine ETantin Dean - Rex rabbit fur quality determines economic value, yet the age-dependent dynamics of hair follicle development and their molecular drivers are largely unknown. Here, we performed a time-series integrative analysis combining phenotypic measurements, quantitative histomorphology, and transcriptome sequencing in Yongqing Rex rabbits across 1 to 6 months of age (10 rabbits per month). Fur thickness exhibited a pattern of increase, stabilization, and subsequent increase, with no significant differences between 2M and 4M (p > 0.05). Coat density peaked at 6M, with an average pelt area of 1358.20 ± 52.43 cm at 5M and 6M. Fiber length increased and then plateaued, whereas hair diameter showed an increase-decrease-stabilization pattern. Histological analysis revealed a significant age-related decrease in the number of follicle clusters, particularly from 1M to 3M (p < 0.05). Primary hair follicle density was the highest at 1M (p < 0.01) and fluctuated subsequently, whereas secondary hair follicle density increased continuously (p < 0.01). Melanin granules increased significantly from 1M to 4M and peaked at the 4M (p < 0.05). Further, transcriptomic identified 1168, 4204, and 3431 differentially expressed genes (DEGs) for 3M versus 1M, 5M versus 1M, and 5M versus 3M, respectively, with 187 common DEGs including FOXN1, FGF10, and DCN. GO and KEGG analysis indicated significant enrichment in processes such as keratinization, keratinocyte differentiation, ECM-receptor interaction, and the PI3K-Akt signaling pathway. Collectively, our findings reveal the dynamic patterns of hair follicle development in Rex rabbits across phenotypic, histological, and molecular levels, providing a theoretical basis for the genetic regulation of fur quality. - Source: PubMed
Cao ChengpengYang JingyiWang YanlinWang HaoyueWang LeiZhao BohaoWu XinshengLiu YanChen Yang - Age-related thymic involution is a central feature of immunosenescence and intersects with multiple "hallmarks of aging", including genomic instability, telomere attrition, mitochondrial dysfunction, and chronic inflammation. The decline in thymic epithelial integrity and FOXN1-driven thymopoiesis reduces naïve T-cell output, contracts TCR repertoire diversity, and perturbs central tolerance, contributing to increased susceptibility to infection, cancer, and autoimmunity. These changes occur alongside broader immune-aging phenomena such as inflammaging and frailty and are reflected in poorer vaccine responses and altered outcomes to novel pathogens such as SARS-CoV‑2. This review integrates mechanistic, preclinical, and human data to reassess the adult thymus as a therapeutic target. Higher-confidence domains for thymic restoration include cancer immunosurveillance, infectious disease vulnerability, vaccine responsiveness, and post-treatment immune reconstitution, supported by modeling of age-related disease incidence, transplant and HIV cohorts, and new observational links between radiographic thymic health, mortality, and immunotherapy outcomes. High-plausibility but less directly validated domains include autoimmunity, chronic herpesvirus control, HIV immunological non-responders, and post-acute infection syndromes such as long COVID, which share convergent patterns of T-cell dysfunction and persistent immune activation. The translational landscape spans hormonal and somatotropic modulation (sex steroid ablation, growth hormone/ghrelin), cytokine and growth-factor strategies (IL‑7, IL‑22, KGF/BMP4, FGF21), cell- and tissue-engineering approaches leveraging thymic epithelial stem cells and FOXN1-reprogrammed stromal cells, and gene-therapy concepts such as intrathymic AAV delivery of FOXN1, AIRE, chemokines, and stromal-support pathways. Collectively, these data support the biological plausibility of adult thymus restoration but highlight that robust, domain-specific clinical benefits have not yet been demonstrated in controlled trials. Future work should prioritize harmonized structural and functional biomarkers, domain-focused interventional studies in high-risk populations, and combined strategies that situate thymus-directed interventions within broader efforts to modify immune and organismal aging. - Source: PubMed
Publication date: 2026/07/08
Sewell Patrick EJensen Christopher - 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. - Source: PubMed
Publication date: 2026/07/01
Asami SoichiroYin ChenshuoFan JeanGarza Luis AKalhor Reza