ZFP106 antibody - N-terminal region (ARP33279_P050)
- Known as:
- ZFP106 (anti-) - N-terminal region (ARP33279_P050)
- Catalog number:
- arp33279_p050
- Product Quantity:
- USD
- Category:
- -
- Supplier:
- Aviva Systems Biology
- Gene target:
- ZFP106 antibody - N-terminal region (ARP33279_P050)
Related genes to: ZFP106 antibody - N-terminal region (ARP33279_P050)
- Gene:
- ZNF106 NIH gene
- Name:
- zinc finger protein 106
- Previous symbol:
- ZFP106
- Synonyms:
- ZNF474, SH3BP3
- Chromosome:
- 15q15.1
- Locus Type:
- gene with protein product
- Date approved:
- 1992-04-28
- Date modifiied:
- 2014-11-18
Related products to: ZFP106 antibody - N-terminal region (ARP33279_P050)
Related articles to: ZFP106 antibody - N-terminal region (ARP33279_P050)
- Diabetes is considered to be a risk factor for colon cancer (CC), and CC patients with diabetes tend to have a worse prognosis. However, the underlying mechanism of this condition remains unclear. This study aims to elucidate the relationship between diabetes and CC further, and to find effective therapeutic targets. - Source: PubMed
Publication date: 2025/08/24
Yao MingWang RongzhongCui RonghaiLou FanChen Zelian - Type 2 diabetes (T2D) is a prevalent chronic disease in the Korean population, influenced by lifestyle, dietary habits, and genetics. This study aimed to identify the effects of food intake and genetic factors on T2D progression in Korean adults using a multi-state illness-death model. We analyzed three transition models: normal glucose tolerance (NGT) to prediabetes (PD), NGT to T2D, and PD to T2D. We first identified dietary patterns significantly associated with each transition, using multivariate Cox proportional hazards models. Then, we assessed the impact of single-nucleotide polymorphisms (SNPs) on each transition, incorporating these dietary patterns as covariates. Our analysis revealed significant associations between the identified dietary patterns and the risk of PD and T2D incidence among individuals with NGT. We also identified novel genetic variants associated with disease progression: two SNPs ( in Glucokinase [] and in Calcium/Calmodulin-Dependent Protein Kinase II Beta []) in the NGT to PD model, and eight SNPs in the NGT to T2D model, including variants in the Zinc Finger Protein 106 (), PTOV1 Extended AT-Hook Containing Adaptor Protein (), Proprotein Convertase Subtilisin/Kexin Type 2 (), Forkhead Box D2 (), Solute Carrier Family 38 Member 7 (), and Neuronal Growth Regulator 1 () genes. Functional annotation analysis using ANNOVAR revealed that () and () exhibited high Combined Annotation-Dependent Depletion (CADD) and Deleterious Annotation of Genetic Variants using Neural Networks (DANN) scores, suggesting potential pathogenicity and providing a functional basis for their association with T2D progression. Integrating dietary and genetic factors with a multi-state model, this comprehensive approach offers valuable insights into T2D development and highlights potential targets for prevention and personalized interventions. - Source: PubMed
Publication date: 2025/03/13
Oh JeongminCha JunhoChoi Sungkyoung - As a common malignant tumor, esophageal carcinoma (ESCA) has a low early diagnosis rate and poor prognosis. This study aimed to construct the prognostic features composed of ZNF family genes to effectively predict the prognosis of ESCA patients. - Source: PubMed
Publication date: 2023/04/03
Hong KunqiaoYang QianYin HaisenWei NaWang WeiYu Baoping - To reveal candidate genes and the molecular genetic mechanism underlying primary feather color trait in ducks, a genome-wide association study (GWAS) for the primary feather color trait was performed based on the genotyping-by-sequencing (GBS) technology for a native Chinese female duck, Longyan Shan-ma ducks. Blood genomic DNA from 314 female Longyan Shan-ma duck were genotyped using GBS technology. A GWAS for the primary feather color trait with genome variations was performed using an univariate linear mixed model based on all SNPs in autosomes. Seven genome-wide significant single nucleotide polymorphisms (SNPs, Bonferroni-adjusted -value <8.03 × 10) within the introns of the genes , , , and genes were associated with the primary feather color trait. Twenty-two genome-wide suggestive SNPs (Bonferroni-adjusted -value <1.61 × 10) of 17 genes (besides and ) were also identified. Seven SNPs were located at one 0.22 Mb region (38.65-38.87 Mb) on chromosome 5, and six SNPs were located at one 0.31 Mb region (19.53-19.84 Mb) on chromosome 11. The functions of , 5, , , and were involved pigmentation and follicle development, especially, upregulated expression in black feather (haplotype-CCCC) bulb tissue compared with in pockmarked feather (haplotype-TGTT) bulb tissue, implicating these genes as candidate genes for primary feather color trait. The preliminarily findings suggested candidate genes and regions, and the genetic basis of primary feather color trait in a female duck. - Source: PubMed
Publication date: 2023/03/03
Sun YanfaWu QiongLin RulongChen HongpingZhang MinJiang BingbingWang YaruXue PengfeiGan QiuyunShen YueChen FeifanLiu JiantaoZhou ChenxinLan ShishiPan HaozheDeng FanYue WenLu LizhiJiang XiaobingLi Yan - Animal cloning can be achieved by somatic cell nuclear transfer (SCNT), but the resulting live birth rate is relatively low. We previously improved the efficiency of bovine SCNT by exogenous melatonin treatment or by overexpression of lysine-specific demethylase 4D (KDM4D) and 4E (KDM4E). In this study, we revealed abundant alternative splicing (AS) transitions during fertilization and embryonic genome activation, and demonstrated abnormal AS in bovine SCNT embryos compared with in vitro fertilized embryos. We used the CRISPR-Cas13d RNA-targeting system to target cis-elements of ABI2 and ZNF106 pre-mRNA to modify AS, thus reducing the ratio of abnormal-isoform SCNT embryos by nearly 50% and achieving a high survival rate (11%-19%). These results indicate that this system may provide an efficient method for bovine cloning, while also paving the way for further improvements in the efficiency of SCNT. - Source: PubMed
Publication date: 2022/05/05
Cheng RuiZheng XiaomanWang YingmeiMa XingLiu XinXu WenjunWang MengyunGao YuanpengXing XupengZhou ChuanSun HongzhengGuo ZekunQuan FushengLiu JunHua SongWang YongshengZhang YongLiu Xu