Ask about this productRelated genes to: BTBD15 antibody
- Gene:
- ZBTB44 NIH gene
- Name:
- zinc finger and BTB domain containing 44
- Previous symbol:
- BTBD15
- Synonyms:
- HSPC063, ZNF851
- Chromosome:
- 11q24.3
- Locus Type:
- gene with protein product
- Date approved:
- 2005-03-13
- Date modifiied:
- 2014-11-19
Related products to: BTBD15 antibody
Related articles to: BTBD15 antibody
- Circular RNAs are implicated in various physiopathologic activities and play a crucial role in calcific aortic valve disease (CAVD) progression. However, the role of coding circular RNAs in CAVD remains unclear. In this study, we aimed to characterize coding circular RNAs and explore their functions in CAVD. - Source: PubMed
Publication date: 2026/01/05
Hu DongtuLin YingwenHuang HailunXian GaopengChen YubingLi JuncongHuang LinXu MinhuiLin XiangjieWen LimingSu ShuwenDuan XiaolinZhong GuohengZhu YalingChen YangchaoLuo ZichaoDu SonglinXu TianyuZeng Qingchun - We conducted a genome-wide association study (GWAS) to identify single-nucleotide polymorphisms (SNPs) associated with malignant transformation in oral verrucous hyperplasia (OVH) patients. - Source: PubMed
Publication date: 2025/07/23
Maulana YusufWu Ming-HengChiang Wei-FanHsiao Wei-PinMong Ling-ChengWang Wen-Chang - Retrospective diagnosis of a seizure type is pivotal for effective management and treatment of epilepsy. Previously, we demonstrated that RNA signatures could discriminate between non-epileptic spells and epileptic seizures. Here, we investigate the utility of alternative RNA splicing to distinguish generalized versus focal epileptic seizures. Blood samples were collected at baseline, 4-6 h post-seizure, and at discharge from 27 patients undergoing video-electroencephalogram (vEEG) monitoring at the Emory University Hospital. Epileptologists determined seizure classification through vEEG data review. RNA was extracted, sequenced, and analyzed for RNA expression and transcript usage. Classification models were generated to distinguish between patients who had a focal or generalized seizure. The study shows transcriptomic profile changes following EEG-verified focal and generalized seizures. Compared to baseline, focal seizure exhibits limited changes in transcriptomic expression 4-6 h post-seizure and discharge samples. In contrast, generalized seizures demonstrated a broader transcript response, with 74 differentially expressed transcripts at 4-6 h and 70 at discharge. The changes were also evident across different time points between focal and generalized seizure. The study for the first time described the landscape of isoform switching in seizure type. Notably, significant isoform switching without differences in gene expression was observed. We identified 2689 isoform switches linked to 1249 genes among which 742 genes were sensitive to nonsense-mediated mRNA decay (NMD). Significant switches were observed in genes such as CORO1C, ZBTB44, SNHG1, and RPS17. Notably, we also observed novel isoforms, including CD300 (MSTRG.26116.1), RNF216 (MSTRG.52862.7), and RN7SL1 (MSTRG.17010.3) which exhibited significant switching, revealing potential new regulators of gene expression. Differentially expressed transcripts were utilized as classifiers for machine learning (ML) modeling using random forest (rf) and radial support vector machine (rSVM) algorithms, achieving ~ 83% accuracy in classifying generalized seizures, and multivariate adaptive regression splines (mars) algorithm achieving 100% accuracy in identifying focal seizure events. Our findings of blood transcript expression changes, including isoform switch analysis, underscore the potential of blood-based transcriptome analysis for retrospectively distinguishing seizure types and identifying biomarkers for epilepsy management. - Source: PubMed
Publication date: 2025/06/11
Verma RashiBullinger Katie LPearson AndreaDhakar MonicaGuven EmineAmini ElhamSimon Roger PMeller Robert - Egg quality directly determines embryo development in meat-type poultry. However, it is difficult to directly select the egg quality of Muscovy duck. The genes and SNPs associated with egg quality screened by GWAS can be used for molecular breeding and accelerate the progress of selection in Muscovy duck. - Source: PubMed
Publication date: 2025/04/29
Yang WanliYu ShiqiSong DanyuLin WeihuangXu HanqiLang XuqiaoZhang ChengGuo LipingChen Xingyong - Eye disorders are common disorders with significant effects on personal, economic, and social aspects of life. These disorders have a genetic background and are associated with dysregulation of non-coding RNAs. Three classes of these transcripts, namely long non-coding RNAs (lncRNAs), circular RNAs (circRNAs) and microRNAs (miRNAs) have established roles in the regulation of gene expression and pathoetiology of ocular disorders. H19, MEG3, BANCR, UCA1, HOTAIR, ANRIL, XIST and MIAT are among important lncRNAs in ocular disorders. CircRNAs from ZBTB44, HIPK3, circ-PSEN1, COL1A2, ZNF532 and FAM158A loci have also been found to affect pathoetiology of ocular disorders. Both lncRNAs and circRNAs can serve as molecular sponges for miRNAs. In this review, we searched PubMed and Google Scholar databases to find the research articles summarizing the impact of non-coding RNAs in ocular disorders. The results of these studies would help in identification of suitable targets for treatment of ocular disorders. - Source: PubMed
Publication date: 2023/03/29
Moallemi Rad LinaSadoughi Mohammad MehdiNicknam AmirColagar Abasalt HosseinzadehHussen Bashdar MahmudTaheri MohammadGhafouri-Fard Soudeh