DBX2 Antibody
- Known as:
- DBX2 Antibody
- Catalog number:
- 6873
- Product Quantity:
- 0.05 mg
- Category:
- -
- Supplier:
- Prosci
- Gene target:
- DBX2 Antibody
Related genes to: DBX2 Antibody
- Gene:
- DBX2 NIH gene
- Name:
- developing brain homeobox 2
- Previous symbol:
- -
- Synonyms:
- FLJ16139
- Chromosome:
- 12q12
- Locus Type:
- gene with protein product
- Date approved:
- 2007-03-14
- Date modifiied:
- 2014-11-19
Related products to: DBX2 Antibody
Related articles to: DBX2 Antibody
- Acting as the central endocrine hub, the pituitary gland is closely related to the mechanism of adaptation to high-altitude hypoxia. Here, by integratively combining long-read (Oxford Nanopore) and short-read (Illumina) single-cell sequencing approaches, we profiled pituitaries from Diqing Tibetan pigs, inhabiting high-altitude environments (3,200 m) and Diannan small-ear pigs from low-altitude regions (500 m), thereby generating a full-length single-cell atlas, which in turn enabled the identification of molecular mechanisms potentially underlying adaptation to high-altitude hypoxia stress. Systematically delineating pituitary structure and transcriptional dynamics, we profiled 27,339 single cells encompassing 28,932 expressed genes. Leveraging unsupervised clustering coupled with marker-based annotation, we identified ten major cell types. Expression profiling of 20 canonical marker genes revealed pronounced cell-type-specific expression patterns, ten of which were independently validated by immunofluorescence, thus substantiating the accuracy of cell-type annotation. Gene-ontology enrichment analysis further suggested that upregulated genes were predominantly involved in oxidative metabolism and energy production, whereas downregulated genes were significantly associated with protein biosynthesis and translation processes, indicating a functional reprogramming of metabolic pathways. Moreover, comparative analyses between breeds and cell-cell communication analyses highlighted pathway shifts, including broad upregulation of the collagen family and four ligand-receptor pairs that may mediate pituitary intercellular coordination. In parallel, transcription-factor activity analysis nominated several regulators, including EBF3, DBX2, and TCF21, which may collectively contribute to altitude-associated adaptation. Finally, integrating long-read sequencing data revealed widespread transcript isoform diversity, with ~28% novel annotations, indicating considerable isoform complexity in pigs. Our findings delineate cellular heterogeneity, inferred intercellular communication networks, and transcript-isoform diversity in the porcine pituitary, thereby providing a cell-resolved resource for understanding pituitary features associated with high-altitude environments. - Source: PubMed
Publication date: 2026/08/10
Li HaiWu XudongHuo HailongZhang XiaGuo YimingLin WanWen FeidiZhao ZhijunZhao GuiyingHuo Jinlong - Parkinson's disease (PD) is a neurodegenerative disorder characterized by progressive degeneration of midbrain substantia nigra dopaminergic neurons, resulting in striatal dopamine depletion and motor dysfunction. While this pathological cascade is well-established, its underlying mechanisms remain elusive. - Source: PubMed
Publication date: 2026/07/14
Qin BinqingFu ZichuZou XuanxuanChai SenmaoWeng JingjingWang PuqingSun XiaodongSang Ming - Hearing loss (HL) is one of the most common sensorineural disorders, affecting 5% of the world's population. Despite advances in next-generation sequencing (NGS) platforms, the diagnosis of HL remains challenging because of its vast genetic heterogeneity. This study aimed to improve the diagnosis of HL through re-evaluation and new Exome Sequencing (ES) of undiagnosed Iranian HL families. - Source: PubMed
Publication date: 2025/12/18
Rezvandeh Raziye RezvaniKazemi NegarAshrafi Farzane ZareShokouhian EbrahimBolghanabadi ZahraOmrani Mohammad AminEdizadeh MasoudKahrizi KimiaNajmabadi HosseinMohseni Marzieh - Body size and carcass traits are economically significant in livestock, contributing to productivity and meat quality improvement in breeding programs. Understanding the genetic basis of these traits can enhance selection strategies for livestock improvement. This research was carried out to identify genomic regions associated with body size and ultrasound carcass traits using the single-step genome-wide association study (ssGWAS) in Anatolian water buffaloes. Data consisted of wither height (WH), hip height (HH), body length (BL), chest width (CW), hip width (HW), chest circumference (CC), cannon-bone circumference (CBC), Musculus longissimus dorsi depth (MLDD), and subcutaneous fat thickness (SFT) records of 313 yearling buffaloes were used in the association analyses. Genotyping was carried out by using the 90 K Axiom Buffalo Genotyping array. Association analyses using genomic relationship matrix (GRM) were performed by WOMBAT software. - Source: PubMed
Publication date: 2025/11/27
Çinkaya SametTekerli MustafaErdoğan MetinDemirtaş MustafaKoçak SerdarÇelikeloğlu KorayHacan ÖzlemDemirtaş EdaÇinkaya Zeynep NurArzık YunusDemiray AylinSelçuk Senem EsinAkçay AhmetBozkurt ZehraEser OrhanKaplan Yusuf - Predicting the geometry and strength governing small molecule-protein interactions remains a paramount challenge in drug discovery due to their complex and dynamic nature. Several machine learning (ML) methods have been proposed to complement and improve on physics-based tools such as molecular docking, usually by mapping three dimensional features of poses to their closeness to experimental structures and/or to binding affinities. Here, we introduce Dockbox2 (DBX2), a novel approach that encodes ensembles of computational poses within a graph neural network framework energy-based features derived from molecular docking. The model was jointly trained to predict binding pose likelihood as a node-level task and binding affinity as a graph-level task using the PDBbind dataset and demonstrated significant performance in comprehensive, retrospective docking and virtual screening experiments, compared with state-of-the-art physics- and ML-based tools. Our results encourage further exploration of ML models learning from conformational ensembles to accurately model small molecule-protein interactions and thermodynamics. The DBX2 code is available at https://github.com/jp43/DockBox2. - Source: PubMed
Publication date: 2025/09/23
Thaingtamtanha ThanawatPreto JordaneGentile Francesco