Ask about this productRelated genes to: NEK11 antibody
- Gene:
- NEK11 NIH gene
- Name:
- NIMA related kinase 11
- Previous symbol:
- -
- Synonyms:
- FLJ23495
- Chromosome:
- 3q22.1
- Locus Type:
- gene with protein product
- Date approved:
- 2002-05-08
- Date modifiied:
- 2016-01-13
Related products to: NEK11 antibody
Related articles to: NEK11 antibody
- Oral squamous cell carcinoma (OSCC) is a prevalent malignancy characterized by aggressive behavior, poor prognosis, and limited therapeutic options. Mutations in the NIMA-related kinase (NEK) family are increasingly implicated in tumorigenesis across various cancers. However, their contributions to OSCC pathogenesis remain largely unexplored. - Source: PubMed
Publication date: 2026/02/04
Nawab FouziaNaeem WafaFatima SadiaKhan Muhammad UzairMehmood AamirNawab SadiaKhan IshaqNawaz HaseenaAhmad HilalKhalil Ali TalhaKhan Ishtiaq AhmadIrfan MuhammadAlorini MohammedKhurram Syed AliAli Asif - circRNAs are endogenous covalently closed circular RNAs, and previous studies have validated their key regulatory roles in malignant tumors; however, the specific role and regulatory mechanism of circNEK11 in hepatocellular carcinoma (HCC) remain unclear. Here, we discovered that circNEK11 back-spliced from exons 12, 13, 14, and 15 of the NEK11 gene is significantly upregulated in HCC tissues, especially recurrent HCC tissues. YTHDC1 functions as a reader of m6A-modified circNEK11 and facilitates its cytoplasmic export. circNEK11 promotes HCC cell oncogenic functions in vitro and HCC growth in vivo. Mechanistically, circNEK11 directly binds to miR-1236-3p to regulate GPX2 expression, thus promoting HCC progression and recurrence. Collectively, our findings suggest that circNEK11 is a potential biomarker and target for HCC diagnosis and treatment. - Source: PubMed
Publication date: 2025/09/24
Li QianHuang XuTong YanYong CaiyuSong MinghuiChang CunjieDong HengBu FangtianYan ShuanghongYing JieChen Jianxiang - Age-related hearing loss (ARHL) is one of the most prevalent conditions affecting the elderly. ARHL is influenced by a combination of environmental and genetic factors; the identification of the genes that confer risk will aid in the prevention and treatment of ARHL. The mouse and human inner ears are functionally and genetically homologous. We used Carworth Farms White (CFW) mice to study the genetic basis of ARHL because they are genetically diverse and exhibit variability in the age of onset and severity of ARHL. - Source: PubMed
Publication date: 2025/05/21
Polesskaya OksanaBoussaty ElyCheng RiyanLamonte Olivia AZhou Thomas YDu EricSanches Thiago MissfeldtNguyen Khai-MinhOkamoto MikaPalmer Abraham AFriedman Rick - The Sahiwal are among the most prominent international transboundary dairy cattle distributed in large numbers between India and Pakistan. With the elapse of more than seven decades after the independence and limited cross-border exchange of Sahiwal germplasm, one thought-provoking question arises as to whether natural and artificial selection could alter the genomic signature patterns in the Sahiwal, reared for different purposes in these two countries. Deciphering the genetic mechanisms that underlie economic traits is essential for advancement and long-term breeding plans that are reflected in the distinct selection signatures they carry. To identify these genomic signatures, three medium-density SNP datasets of Sahiwal from three geographical locations of India and Pakistan were analyzed, using De-Correlated Composite of Multiple Selection Signals technique to identify the major candidate genes. In the genome of Sahiwal, a total of 70 genomic regions with 261 protein-coding genes were found. Milk production (NEK11, HMGCS1, BTN1A1,KCNH3), reproduction (SH3BGR, PSMG1, BRWD1,B3GALT5) and immune response genes (BPIFB1, MCOLN2) were more closely related to the Indian Sahiwal. Pakistani Sahiwal had genes closely linked with the dual-purpose meat (RALGAPA2, RIN2, CFAP61), and milk (SLC24A3 GALNT17, BACH2) traits. Our findings revealed differential patterns of selection signatures in transboundary Sahiwal cattle. - Source: PubMed
Publication date: 2025/05/05
Muansangi LalTiwari JigyashaIlayaraja IrusappanKumar IshmeetVyas JayeshChitra AnilSingh Sanchit PalPal PritamGowane GopalMishra A KMukherjee AnupamaMukherjee Sabyasachi - The mitotic DNA integrity checkpoint signaling pathway is potentially involved in cancers that regulate genomic stability where protein kinases play a pivotal role. 16 total protein kinase genes are involved in this pathway: ATM, BRSK1, CDK1, CDK2, CHEK1, CHEK2, MAP3K20, NEK11, PLK1, PLK2, PLK3, PRKDC, STK33, TAOK1, TAOK2, and TAOK3. This study aims to provide pan-cancer profiles of the protein kinases in mitotic DNA integrity checkpoint signaling gene set for potential prognostic and diagnostic purposes, as well as future potential therapeutic targets for cancer in a clinical setting. Multi-omic data was acquired for the 16 genes; over 9000 samples of 33 types of cancer were analyzed to create pan-cancer profiles of SNV, CNV, methylation, mRNA expression, pathway crosstalk, and microRNA regulation networks. The SNV profile showed that most of these genes have a high SNV mutation frequency across some cancer types, such as UCEC and SKCM. The CNVs of some of these genes are associated with the survival of UCEC, KIRP, and LGG. BRCA, KIRC, LUAD, and STAD might be affected by the mRNA expression of these genes which might involve regulation of copy number, methylation, and miRNA. In addition, these genes also cross-talk with some known cancer pathways. The protein kinases in mitotic DNA integrity checkpoint signaling may play a role in cancer development and, with adequate research, could potentially be developed as biomarkers for cancer diagnosis and prognosis. However, further efforts are necessary to validate their clinical value for diagnosis and prognosis and to develop practical applications in clinical settings. Nevertheless, these pan-cancer profiles offer a better overall understanding as well as useful information for future reference regarding mitotic DNA integrity checkpoint signaling in cancer. - Source: PubMed
Publication date: 2025/02/05
Rasteh Ayana MeegolLiu HengruiWang Panpan