ALX3
- Known as:
- ALX3
- Catalog number:
- 001503A
- Product Quantity:
- 250ul
- Category:
- -
- Supplier:
- ABM
- Gene target:
- ALX3
Related genes to: ALX3
- Gene:
- ALX3 NIH gene
- Name:
- ALX homeobox 3
- Previous symbol:
- FND
- Synonyms:
- -
- Chromosome:
- 1p13.3
- Locus Type:
- gene with protein product
- Date approved:
- 1998-04-08
- Date modifiied:
- 2019-04-23
Related products to: ALX3
Related articles to: ALX3
- Endometriosis (EM) is a condition that impacts roughly 10% of women within the reproductive age demographic on a global scale. Due to the limitations of conventional diagnostic techniques for endometriosis, a concerted effort is necessary to improve the existing diagnostic and develop novel diagnostic tools or biomarkers. With improvements in gene sequencing methods and a steady drop in sequencing prices, more endometriosis-associated genes have been discovered recently. Utilizing a random forest classifier, we conducted a screening of differentially expressed genes (DEGs) pertaining to EM sourced from the Gene Expression Omnibus (GEO) database, and six key genes were screened out (DDX56, TAL1, ALX3, DDX6, ADRBK2, and ZMYND11). The DDX6 and ADRBK2 protein expression changes in the eutopic endometrium of the different groups were evaluated by immunohistochemical methods to further validate their diagnostic value. To verify this method, we selected 20 clinical samples for testing, and the test results were exactly the same as the clinical report. The contribution of all these genes associated with endometriosis has never been investigated. Additionally, we have developed a novel diagnostic model for endometriosis that uses an artificial neural network and have conducted successful tests on publicly available datasets to evaluate its diagnostic performance. Numerous studies have unveiled important roles for immunity in the pathogenesis of EM; thus, we also assessed the content of immune cells in the eutopic endometrium from different samples. Compared to normal samples, the proportion of CD8 + T cells, T follicular helper cells, and monocytes in the eutopic endometrium of women with EM were significantly higher, while the proportion of gamma-delta T cells, macrophages, dendritic cells resting, and mast cells resting was significantly lower. The immune factor is a major determinant of the course of the disease, may be valuable prognostic markers and are worth further examination. - Source: PubMed
Publication date: 2026/03/09
Gong ZhenChu TongShe JingyaoChen SiWang PeijuanHuo JiegeChen Yue - Cell type identity is controlled by gene regulatory networks (GRNs), where transcription factors (TFs) regulate target genes (TGs) via open chromatin regions (OCRs), often specific to one or multiple cell types. Classic GRN discovery using perturbations is laborious and not easily scalable across the tree of life. Single-cell transcriptomics enables cell type-resolved gene expression analysis, but integrating perturbation data remains difficult. Here, we investigate planarian stem cell differentiation by integrating single-cell transcriptomics and chromatin accessibility data. The integrated analysis identifies gene networks matching known TF interactions and highlights TFs that may drive differentiation across multiple cell types. Our data reveals at least two major cell type supergroups linked by their regulatory logic, including alx3-1+ cells, comprising muscle, neurons and secretory cells, and hnf4+ cells, comprising gut phagocytes, goblet cells and parenchymal cells. We validated our data demonstrating high overlap between predicted targets and experimentally validated differentially regulated genes. Overall, our study integrates TFs, TGs and OCRs to reveal the regulatory logic of planarian stem cell differentiation, showcasing a comprehensive catalogue of GRN computational inferences that will be key to study this process. - Source: PubMed
Publication date: 2025/11/27
Pérez-Posada AlbertoGarcía-Castro HelenaEmili ElenaGuixeras-Fontana AnnaVanni VirginiaSalamanca-Diaz DavidArias-Baldrich CireniaFrölich Siebrenvan Heeringen Simon JCebrià FrancescKenny NathanSolana Jordi - Cattle domestication and subsequent breed formation have profoundly shaped agricultural economies and ecological adaptation worldwide. Among these, Chinese indigenous breeds exhibit extensive phenotypic diversity driven by complex admixture histories. Hetian cattle, a native population from the arid Xinjiang Province of China, possess superior traits including drought tolerance and disease resistance. Despite their ecological and agricultural importance, the genomic architecture and adaptive mechanisms underpinning these traits remain poorly characterized. - Source: PubMed
Publication date: 2025/11/26
Liu XueweiLiu TianyongWang YihuaDong HongLi FuqiangQi XingshanLuo YongmingJiang YiAhmed ZulfiqarLei ChuzhaoGuo Xiang - Understanding the genetic mechanism of cold adaptation in cashmere goats and dairy goats is very important to improve their production performance. The purpose of this study was to comprehensively analyze the genetic basis of goat adaptation to cold environments, clarify the impact of environmental factors on genome diversity, and lay the foundation for breeding goat breeds to adapt to climate change. A total of 240 dairy goats were subjected to genome resequencing, and the whole genome sequencing data of 57 individuals from 6 published breeds were incorporated. By integrating multiple approaches such as phylogenetic analysis, population structure analysis, gene flow and population history exploration, selection signal analysis, and genome-environment association analysis, an in-depth investigation was carried out. Phylogenetic analysis unraveled the genetic relationships and differentiation patterns among dairy goats and other goat breeds. Through signal analysis (θπ, FST, XP-CLR), we identified numerous candidate genes associated with cold adaptation in dairy goats (STRIP1, ALX3, HTR4, NTRK2, MRPL11, PELI3, DPP3, BBS1) and cashmere goats (MED12L, MARC2, MARC1, DSG3, C6H4orf22, CHD7, MYPN, KIAA0825, MITF). Genome-environment association (GEA) analysis confirmed the link between these genes and environmental factors. Moreover, a detailed analysis of the critical genes C6H4orf22 and STRIP1 demonstrated their significant roles in the geographical variations of cold adaptation and allele frequency differences among different breeds. This study contributes to understanding the genetic basis of cold adaptation, providing crucial theoretical support for precision breeding programs aimed at improving production performance in cold regions by leveraging adaptive alleles, thereby ensuring sustainable animal husbandry. - Source: PubMed
Publication date: 2025/09/09
Zhao JianqingYao WeiweiLiu QingqingGong PingMu YuanpanWang WeiLiu BaolongLi CongShi HengboLuo Jun - Postmenopausal women are at an increased risk of developing osteoporosis (OP) due to a decline in estrogen levels. This study focuses on miR-23a-5p as the subject of investigation, aiming to elucidate its expression in postmenopausal osteoporosis (PMOP) and to explore its action mechanisms. - Source: PubMed
Publication date: 2025/07/25
Zhang HonghaoRao WenjunLin RubingHuang Yingxuan