cdc14 Antibody
- Known as:
- cdc14 Antibody
- Catalog number:
- XW-7845
- Product Quantity:
- 0.05 mg
- Category:
- -
- Supplier:
- Prosci
- Gene target:
- cdc14 Antibody
Related genes to: cdc14 Antibody
- Gene:
- CDC14A NIH gene
- Name:
- cell division cycle 14A
- Previous symbol:
- -
- Synonyms:
- Cdc14A1, Cdc14A2, cdc14, DFNB105
- Chromosome:
- 1p21.2
- Locus Type:
- gene with protein product
- Date approved:
- 1998-12-18
- Date modifiied:
- 2016-10-13
Related products to: cdc14 Antibody
Related articles to: cdc14 Antibody
- Depending upon the type of pathological stress, the heart undergoes concentric or eccentric remodeling. This structural change is associated with diastolic and/or systolic ventricular dysfunction reflecting differentially altered cardiomyocyte morphology, ultrastructure, metabolism, contractility, and survival, as well as interstitial myocardial fibrosis. Despite an association of both concentric and eccentric remodeling with heart failure and sudden death, the molecular mechanisms resulting in abnormal cardiac geometry remain poorly understood. A better understanding of the basic mechanisms conferring these contrasting forms of remodeling should inform novel approaches to preserve normal cardiac structure and function in cardiovascular disease. The protein phosphatase Cell Division Cycle 14A (CDC14A) and its substrate the lysine methyltransferase KMT5A are identified herein as key regulators of the balance between concentric and eccentric pathological cardiac remodeling. - Source: PubMed
Publication date: 2026/02/17
Li XueyiLi JinliangTan YuliangSamuelsson Anne-MajNguyen Vi BNair Ramesh VColombe Anne-SophieGrimm DirkRosenfeld Michael GKapiloff Michael S - Pathogenic variants of human CDC14A (cell division cycle 14A) are associated either with nonsyndromic deafness DFNB32 or hearing impairment infertile male syndrome (HIIMS). The 623-residue CDC14A protein has two globular domains (residues 17-152 and 217-325) and a 278-residue C-terminal intrinsically disordered region (IDR). To date, 16 recessive variants of human CDC14A are associated with hearing loss. Variants affecting the globular N-terminal domains of human CDC14A are associated with HIIMS, whereas mutations in the IDR cause nonsyndromic deafness DFNB32. Here, we tested the hypothesis that the human CDC14A c.1033C>T variant, segregating with nonsyndromic deafness in family PKSN10, introduces a premature translation stop codon (p.R345∗), yet the mRNA escapes nonsense-mediated decay and produces sufficient active phosphatase to allow for male fertility. Quantitative analyses of CDC14A mRNA in blood leukocytes from the PKSN10 family showed that CDC14A transcripts are stable, including p.R345∗ transcripts, which evade nonsense-mediated decay. To further test this hypothesis, we performed biochemical and structural characterizations of truncated CDC14A (ΔC-CDC14A) protein retaining only residues 1 to 345. Kinetic functional studies and X-ray crystallographic findings of purified ΔC-CDC14A protein indicate that it retains structural integrity and phosphatase activity. Molecular genetic reports of DFNB32 and HIIMS, taken together with structural and functional data in this study, indicate that phosphatase activity of ΔC-CDC14A containing the two globular domains is sufficient for male fertility but insufficient for normal hearing. In addition, we show that the C-terminal IDR of CDC14A is required for normal hearing, likely because it is necessary for normal localization of CDC14A in hair cells. - Source: PubMed
Publication date: 2025/11/25
Shabbir KanwalJackisch GinaBelyantseva Inna AImran MuhammadNaz SadafSele CélesteMurina VictoriiaKnecht WolfgangFriedman Thomas BLogan Derek TImtiaz Ayesha - Milk-production is one of the most important economic traits in dairy goats. Fundamentally, increasing milk-production at the genetic level can provide potential genetic markers for improving milk-production in dairy goats. Previous studies have shown that milk-production traits in dairy goats are highly polygenic and can be influenced by multiple genes. We therefore performed high-throughput sequencing on 350 Saanen dairy goats and conducted a genome-wide association study (GWAS) on the sequencing and production data. A total of 9,667,930 valid SNPs were identified, among which approximately 51% of the mutations were synonymous changes, and apart from unknown mutations, only a few changes affected gene expression. Finally, 318 SNP loci and 244 candidate genes were selected. We selected 10 loci most likely to influence these traits for large-scale population-based identification. Finally, four candidate genes, , , and , were identified as the most likely to affect milk-production traits in dairy goats. To prevent spurious association analyses, we conducted subsequent experiments. Further results showed that the four candidate genes could regulate the proliferation and secretion of dairy goat mammary epithelial cells by regulating MAPK, mTOR and other pathways. These findings provide more valuable genetic markers and a theoretical basis for better understanding the intrinsic mechanisms of dairy goat mammary glands. - Source: PubMed
Publication date: 2025/11/13
Li FuHe YonglongYan HanbingBu JiaqiWang ZhanhangXu XiaolongLi DanniCao BinyunAn Xiaopeng - Hereditary hearing loss (HHL) is a genetically heterogeneous disorder, with autosomal recessive non-syndromic hearing loss (ARNSHL) comprising a significant proportion of cases globally. To investigate its genetic basis, we performed whole-exome sequencing (WES) in four consanguineous Iranian families affected by ARNSHL. - Source: PubMed
Publication date: 2025/11/24
Ghasemi HosseinEsmaeilzadeh EmranAbghari Fateme ZahediMohseni MarziehAkbarpoor ErfanKhorram Khorshid Hamid RezaBazazzadegan NiloofarNajafipour Reza - Hepatitis B virus-related acute-on-chronic liver failure (ACHBLF) is a severe condition associated with short-term mortality without liver transplantation. Substantial evidence indicates that necroptosis and immune infiltration play critical roles in ACHBLF development. Therefore, the identification of necroptosis-related biomarkers may be beneficial for prognostic evaluations and may shed light on potential therapeutic targets for ACHBLF. In this study, we used integrated bioinformatics analysis and machine learning algorithms to investigate the correlation between necroptosis and immune infiltration using peripheral blood mononuclear cells from ACHBLF patients. First, after GSE168048 and GSE248217 were obtained from the Gene Expression Omnibus (GEO) database, differentially expressed genes (DEGs) between ACHBLF patients and normal controls were identified. With the help of the weighted gene coexpression network, 211 necroptosis-related DEGs were identified by intersecting the DEGs with necroptosis-related genes (NRGs). The functional characterization of these NRG-related DEGs was subsequently performed using GO, KEGG, and gene set enrichment analysis. Hub genes were identified through the integration of LASSO regression, support vector machines recursive feature elimination, and random forest. Immune-related functions were explored by analyzing the correlations between hub gene expression and immune cells infiltration. Furthermore, mRNA-miRNA-lncRNA interaction network, RNA-binding proteins (RBPs) and transcription factors were predicted using the miRDB, starBase and hTFtarget databases. Finally, target drugs were predicted using a connectivity map. A total of 7461 DEGs were identified between the ACHBLF and normal groups; 3123 genes were upregulated and 4338 genes were downregulated. A total of 211 NRG-related DEGs and 5 hub genes (FCRL3, CDC14A, KLHL22, RALY, and MAP4K1) were obtained. The hub genes were enriched in the T cell receptor signaling pathway, ubiquitin-mediated proteolysis, and the MAPK signaling pathway and were correlated with immune cell infiltration. A lncRNA XIST-miR-424-5p-CDC14A regulatory network was constructed, and 20RBPs and 2 transcription factors (GATA1 and CEBPB) were identified. In addition, 10 candidate drugs were predicted to target MAP4K1. The 5 hub genes could serve as biomarkers for predicting the prognosis of ACHBLF patients and provide clues for new potential therapeutic targets. - Source: PubMed
Publication date: 2025/10/27
Cao ChuangjieLuo DanXie XiaDou Chengyun