EphA6 _ EHK_2 Antibody
- Known as:
- EphA6 _ EHK_2 Antibody
- Catalog number:
- 50630-RP01
- Product Quantity:
- 200
- Category:
- -
- Supplier:
- Smart Serology
- Gene target:
- EphA6 _ EHK_2 Antibody
Related genes to: EphA6 _ EHK_2 Antibody
- Gene:
- EPHA6 NIH gene
- Name:
- EPH receptor A6
- Previous symbol:
- -
- Synonyms:
- FLJ35246
- Chromosome:
- 3q11.2
- Locus Type:
- gene with protein product
- Date approved:
- 2004-06-25
- Date modifiied:
- 2016-10-05
Related products to: EphA6 _ EHK_2 Antibody
Related articles to: EphA6 _ EHK_2 Antibody
- Early identification of genetically superior animals is important for improving growth performance and accelerating genetic gain in swamp buffalo breeding programs. This study investigated the genetic relationships between growth and body structural traits and evaluated their potential use as early selection indicators in Thai swamp buffalo. Phenotypic records from 1034 animals and genotypic data from 462 buffaloes genotyped with 30,979 SNP markers were analyzed using weighted single-step genomic best linear unbiased prediction (WssGBLUP) and weighted single-step Genome-Wide Association Study (WssGWAS) approaches. Moderate to high heritability estimates were observed for growth traits (0.41-0.59), whereas body structural traits showed low to moderate heritability (0.08-0.27). Positive genetic correlations were identified between growth traits and several structural traits, particularly heart girth, hip height, and body depth. Principal component analysis identified two major components explaining 80.1% of the total phenotypic variation, with the first principal component (PC1) representing overall body size and skeletal development. PC1 also showed relatively high heritability (0.57), indicating its potential utility as a composite selection trait. Genome-wide association analysis identified significant SNPs and candidate genes associated with weaning weight and PC1, including , , , , , , and , which are involved in growth regulation, metabolism, cellular development, and stress-response pathways. These findings demonstrate that body structural traits are genetically associated with growth performance and may serve as effective early selection indicators in genomic breeding programs for Thai swamp buffalo. - Source: PubMed
Publication date: 2026/07/01
Kenchaiwong WootichaiChankitisakul VibuntitaDuangjinda MonchaiLomngam RawinanKuha KechaSintala KitsanathonPothikanit KulphatBoonkum Wuttigrai - Thymic epithelial tumors (TETs) are the most common primary neoplasms of the anterior mediastinum and present a dual classification challenge, namely anatomical staging according to the Masaoka-Koga system and histological risk stratification according to the World Health Organization (WHO) classification. Both tasks rely on expert pathological assessment and may be affected by interobserver variability. This study applied supervised machine learning (ML) to quantitative immunohistochemical (IHC) H-score profiles to predict Masaoka-Koga stage and WHO risk group in TETs. : Logistic regression (LR) and XGBoost were applied to 19 biomarkers, including cellular localization, across two parallel analyses. Masaoka-Koga stage prediction was performed in 81 patients, including 59 early-stage and 22 advanced-stage cases, using the Synthetic Minority Oversampling Technique (SMOTE) across 100 train/test splits. WHO risk group prediction was performed in 89 patients, including 45 low-risk and 44 high-risk tumors, without oversampling. A cross-endpoint analysis applied the optimal Masaoka-Koga model to the WHO endpoint. : LR consistently outperformed XGBoost. The optimal Masaoka-Koga model combined Eph receptor A6 (EphA6) membranous, Yes-associated protein (YAP) nuclear, and histone deacetylase 4 (HDAC4) cytoplasmic H-scores, achieving an area under the curve (AUC) of 0.756. The optimal WHO model combined transcriptional coactivator with PDZ-binding motif (TAZ) cytoplasmic, EphA6 membranous, and YAP nuclear H-scores, achieving an AUC of 0.936. The Masaoka-Koga triad predicted WHO risk group with an AUC of 0.901. No tetrad improved trivariate performance. : IHC H-score profiling combined with supervised ML identifies biologically interpretable candidate signatures for TET classification, although prospective external validation is required before clinical application. - Source: PubMed
Publication date: 2026/07/07
Kitrou KonstantinosMandrakis GeorgiosTsirogiannis GeorgiosTheocharis StamatiosHalkiopoulos ConstantinosStamatiou Yannis - Telomeres play a crucial role in chromosomal stability and cancer development. However, the prognostic significance of telomere-related genes (TRGs) in colon adenocarcinoma (COAD) remains unexplored. In this study, we aimed to establish a TRG-based prognostic model for COAD, explore its association with the tumor immune microenvironment and drug sensitivity, and offer new therapeutic targets. - Source: PubMed
Publication date: 2026/05/18
Wang ZhiyongZhang ShuominDong YiLi ZhikaiLi ZizhanLuan ZhigangWang SenLiu JipanLi Yong - The central nervous system responds to acute injury with plastic remodeling of its network. However, the temporal and structural dynamics of this response in the denervated dentate gyrus remain poorly understood. Therefore, we examined the transcriptional programs activated after perforant path transection, focusing on the outer molecular layer (OML) and the granule cell layer (GCL). - Source: PubMed
Publication date: 2026/05/19
Schlaudraff JessicaDel Turco DomenicoKey JanaDeller ThomasAuburger Georg - Excessive adipose tissue accumulation in sheep disrupts insulin signaling, inducing insulin resistance, and alters energy partitioning mechanisms. These changes adversely affect both ovine health and production efficiency. This study employed whole-genome resequencing to conduct selection signal analysis in long-fat-tailed (Lanzhou fat-tailed sheep) and short-fat-tailed (Hu sheep) breeds, investigating the genetic basis underlying divergent lipid metabolism-related traits between these distinct tail phenotypes. Fifteen healthy adult individuals, each from long-fat-tailed (Lanzhou Large-tailed sheep) and short-fat-tailed (Hu sheep) breeds, underwent whole-genome resequencing. Whole-genome resequencing analyses via F, XP-CLR, and XP-EHH identified 75 significantly selected regions ( < 0.01), revealing eight key candidate genes (, , , , , , , ). Subsequent functional enrichment analysis demonstrated significant enrichment of and in lipid metabolic processes (GO:0006629). Employing whole-genome resequencing-based selection signal analysis in long-fat-tailed (Lanzhou Large-tailed sheep) and short-fat-tailed (Hu sheep) breeds, this study identified two key lipid metabolism-associated genes ( and ). These findings provide critical insights for conserving genetic resources and informing molecular breeding strategies targeting divergent tail phenotypes. - Source: PubMed
Publication date: 2025/10/20
Zhang XiaowenLi YufeiZhao YongqingGuo PenghuiCai YongXu HongweiCao XinLi QiongyiMa XiaoxiaZhang DerongBai Jialin