Ask about this productRelated genes to: CAPN9 antibody
- Gene:
- CAPN9 NIH gene
- Name:
- calpain 9
- Previous symbol:
- -
- Synonyms:
- nCL-4, GC36
- Chromosome:
- 1q42.2
- Locus Type:
- gene with protein product
- Date approved:
- 1998-09-25
- Date modifiied:
- 2016-10-05
Related products to: CAPN9 antibody
Related articles to: CAPN9 antibody
- Analyzing colorectal cancer (CRC) tumor heterogeneity reveals key clues for identifying new therapeutic targets. This study systematically investigates cellular heterogeneity and potential biomarkers in CRC through the integration of single-cell and bulk transcriptomic data. By integrating single-cell and bulk transcriptomic data obtained from databases utilizing Scissor and CIBERSORTx, as well as survival analysis, goblet cells displayed notable distinctions across CRC and normal groups and meaningful links to CRC patient prognosis, leading to their recognition as a key cell subtype. Afterthat, CAPN9, AGR3, KLK1, ERN2, and CREB3L1 were identified as biomarkers, which showed a noteworthy downward trend in the CRC samples. These biomarkers were functionally involved in multiple biological pathways implicated in CRC, such as Retinol metabolism, Cell cycle, and Neuroactive ligand-receptor interaction. Moreover, molecular docking revealed that Permethrin demonstrated high binding affinity toward CAPN9, exhibiting a binding energy of -7.2 kcal/mol. This study showed that goblet cells played a key role in CRC progression. These findings support the understanding of CRC pathogenesis and the development of new therapies. The generated matrix provides a high-precision tool for the cell landscape research of CRC. - Source: PubMed
Publication date: 2026/03/24
Huang ShuzhenXiao ZhengZhao RunkaiLi ZijianLing JunyiDeng GuangceWang YuehuaZhao QiyueGao HanLi Kaishu - High-dose methotrexate for pediatric cancer treatment is frequently associated with mucositis, which can lead to delayed or discontinued treatment and impact survival. While individual genetic variants have been implicated, the cumulative impact of genetic variation within relevant biological pathways remains unexplored. We evaluated single nucleotide polymorphisms across 18 pathways previously identified as relevant to mucositis in 278 pediatric patients with acute lymphoblastic leukemia from six academic health centers across Canada. Pathway enrichment was assessed using the Joint Association of Genetic variants tool, and a predictive model was developed using XGBoost, a supervised machine learning algorithm based on gradient-boosted decision trees. Pathway enrichment identified significant associations in IL6 (P = 0.04) and WNT/β-catenin (P = 0.048) signaling pathways. The predictive model (area under the curve [AUC] = 0.76) highlighted single nucleotide polymorphisms associated with inflammation- and mucosa-related genes, including PRKCD, IL17B, MAST3, and CAPN9, with both risk and protective effects. Model performance dropped by 0.15 in AUC (from 0.76 to 0.61) after removing single nucleotide polymorphism features, underscoring their predictive value. This pathway-informed approach identifies genetic contributors to methotrexate-induced mucositis and supports polygenic risk prediction. Our findings provide a foundation for individualized toxicity risk profiling and suggest potential therapeutic targets to mitigate treatment-limiting mucositis in pediatric oncology. - Source: PubMed
Publication date: 2025/11/30
Zhang Xiao Yu CindyScott Erika NMaagdenberg HedyMan AliceLi Kathy HRassekh S RodCarleton Bruce CRoss Colin J DWasserman Wyeth WLoucks Catrina M - : Colorectal cancer (CRC) ranks as the third most prevalent cancer globally, with its incidence and recurrence rates steadily rising. To explore the relationship between CRC and longevity-associated genes (LAGs), and to offer new therapeutic avenues for CRC treatment, we developed a prognostic model based on these genes to predict the outcomes for CRC patients. Additionally, we conducted an immune correlation analysis. : We conducted a comprehensive analysis of the effects of 81 LAGs in CRC by integrating multiple omics datasets. This analysis led to the identification of two distinct molecular subtypes and revealed that alterations in LAGs across various layers were linked to clinicopathological features, prognosis, and cell infiltration characteristics within the tumor microenvironment (TME). The training and validation cohorts for the models were derived from the TCGA-COAD, TCGA-READ, and GSE35279 datasets. Subsequently, we developed a risk score model, and the Kaplan-Meier method was employed to estimate overall survival (OS). Ultimately, we established a prognostic model based on five LAGs: , , , , and . Furthermore, we assessed the correlations between the risk score and factors such as immune cell infiltration, microsatellite instability, and the stem cell index. : Our comprehensive bioinformatics analysis revealed a strong association between longevity genes and CRC. The risk score derived from the five newly identified LAGs was determined to be an independent prognostic factor for CRC. Patients categorized by this risk score demonstrated significant differences in immune status and microsatellite instability. : Our comprehensive multi-omic analysis of LAGs highlighted their potential roles in the tumor immune microenvironment, clinicopathological features, and prognosis, offering new insights for the treatment of CRC. - Source: PubMed
Publication date: 2025/04/30
Huang YichuMin GuangtaoWang HongpengJiang Lei - Improving reproductive performance in Yorkshire pigs, a key maternal line in three-way crossbreeding systems, remains challenging due to low heritability and historical selection pressures favoring production traits. Identifying pleiotropic genetic variants that influence both reproduction and production traits is crucial for understanding their genetic interplay and enhancing molecular breeding strategies. - Source: PubMed
Publication date: 2025/03/29
Wei RanZhang ZhenyangHan HeMiao JianYu PengfeiCheng HongZhao WeiHou XiaoliangWang JianlanHe YongqiFu YanWang ZhenWang QishanZhang ZhePan Yuchun - The gut-brain axis is essential in maintaining the homeostasis of neuronal system, endocrine system, and intestinal microbiota in both the afferent and efferent directions. This axis is considered to be a key mechanism that regulates feed efficiency (FE). This study aimed to investigate the regulatory mechanisms of gut-brain axis-related genes on the residual feed intake (RFI) in H-strain small-sized meat ducks. A total of 500 ducks with similar initial BW (635.2 ± 15.1 g) were selected and reared in the same experimental facility until slaughter at 42 d of age. RFI was calculated from the average daily gain (ADG), average daily feed intake (ADFI), and metabolic body weight (MBW). Thirty high-RFI (H-RFI) and 30 low-RFI (L-RFI) birds were selected for further evaluation of growth performance, carcass characteristics, and blood biochemical parameter measurements. Six L-RFI and 6 H-RFI birds were then subjected to hypothalamic transcriptomic and cecal microbial sequencing analyses. Results indicated that L-RFI birds exhibited lower production performance (ADFI, FCR, and RFI) and blood biochemical indices (total cholesterol and ghrelin content) compared with H-RFI birds (P < 0.05). Gene expression differed significantly between the L-RFI and H-RFI birds, with 70 upregulated and 50 downregulated genes. The bacterial communities of L-RFI birds showed higher abundances of Bacteroides, Bifidobacterium, and Lactococcus, and lower abundances of Erysipelatoclostridium, Parasutterella, Fournierella, and Blautia compared with H-RFI birds (P < 0.05). Interactive analysis revealed bacterial communities associated with FE were significantly correlated with hypothalamic genes (P < 0.05), for example, Bacteroides was positively correlated with DGKH and LIPT2, while negatively correlated with CAPN9, GABRD, and PDE1A. Bifidobacterium showed significant correlations with ATP2A3, CALHM6, and TMEM121B. Overall, RFI was a crucial indicator of FE, regulated by interactions between brain gene expression and gut microbiota through cAMP signaling, neuroactive ligand-receptor interaction, and calcium signaling pathways. Notably, increased expression of hypothalamic genes and abundance of carbohydrate-utilization microbiota in L-RFI meat ducks improved FE by enhancing energy metabolism and volatile fatty acids absorption. - Source: PubMed
Publication date: 2024/04/22
Bai HaoGeng DandanXue FuguangLi XiaofanWang ChenxiaoWang ChenyuGuo QixinJiang YongWang ZhixiuBi YulinChen GuohongChang Guobin