Ask about this productRelated genes to: MAPRE2 antibody
- Gene:
- MAPRE2 NIH gene
- Name:
- microtubule associated protein RP/EB family member 2
- Previous symbol:
- -
- Synonyms:
- RP1, EB1, EB2
- Chromosome:
- 18q12.1-q12.2
- Locus Type:
- gene with protein product
- Date approved:
- 1999-12-14
- Date modifiied:
- 2018-02-13
Related products to: MAPRE2 antibody
Related articles to: MAPRE2 antibody
- - Source: PubMed
Publication date: 2026/03/19
Wang Hai-BoDong LiLi He-YanLiu XinZhang FanYuan Lin-HuiWei Wen-Bin - Identifying causal genetic variants underlying economically important traits in dairy cattle is essential for understanding their genetic basis and optimizing breeding programs. The growing availability of sequenced reference genomes and individuals with both phenotypic and genotypic data notably enhances our ability to detect genetic associations and further pinpoint causal effects. This comprehensive GWAS of dairy cattle used deregressed breeding values as phenotypes and analyzed 11,292,243 quality-controlled, imputed sequence variants from 50,309 Holstein bulls. The number of bulls with available phenotypes ranged from 23,121 to 50,309 across 30 complex traits categorized into production and yield, type, and longevity and health. We performed GWAS using our SLEMM-GWA approach, which accounts for the varying reliability of deregressed breeding values across individuals and demonstrates computational efficiency for large sample sizes and sequence data. This analysis identified 381 significant association peaks, of which 126 are novel findings. Subsequent Bayesian fine-mapping provided statistical prioritization by assigning posterior conditional inclusion probabilities to individual variants and genes, yielding a list of credible candidate genes-an advancement over conventional GWAS reporting of all proximal genes. This prioritization offered direct statistical support for previously reported genes and, more importantly, identified credible candidate genes within the 126 newly discovered peaks for specific traits, including AOPEP, GC, E2F6, MGST1, VPS13B, ZNF652, ASPH, SFMBT1, and MAPRE2. These findings enhance the understanding of the genetic architecture of these complex dairy traits and provide valuable insights for the refinement of genomic selection strategies and breeding programs in Holstein cattle. - Source: PubMed
Publication date: 2025/09/03
Wang JunjianGao YahuiToghiani SajjadCole John BMaltecca ChristianMa LiJiang Jicai - The androgen receptor (AR) signaling drives prostatic development and carcinogenesis, whereas the zinc finger homeobox 3 (ZFHX3) transcription factor modulates these processes. AR upregulates ZFHX3 transcription, but whether and how ZFHX3 plays a role in the AR signaling is unknown. RNA-seq was used to identify AR target genes that were also affected by ZFHX3 loss. Gene expression changes were verified using western blotting and qPCR. Immunoprecipitation, luciferase promoter-reporter assay, and western blotting were performed to assess ZFHX3's impact on AR transcriptional activity and ZFHX3 and AR protein interaction. Cell proliferation and colony formation assays were used to evaluate ZFHX3's impact on AR function. Kaplan-Meier analysis assessed the association of AR/ZFHX3 expression with patient survival. ZFHX3 loss in C4-2B/LNCaP cells downregulated classic AR target genes such as KLK3, FKBP5, and TMPRSS2 while upregulating some unclassical AR target genes (e.g., TNK1, ADAM7, and MAPRE2). ZFHX3 protein bound AR via multiple regions, particularly residues 1-223. ZFHX3 loss promoted cell proliferation/colony formation and attenuated enzalutamide's efficacy. Higher AR expression levels correlated with worse disease-free survival only in lower-ZFHX3 prostate cancer patients. Biochemically, ZFHX3's absence weakened AR's transactivity, including AR's binding to target gene promoters. These findings suggest that ZFHX3 is integral for AR signaling in prostate epithelial cells. ZFHX3 loss, which occurs in advanced prostate cancer, affects AR's function in gene transcription and could thus compromise PSA/KLK3 utility in prostate cancer detection. - Source: PubMed
Publication date: 2025/07/01
Fu XingZhang ZhiqianChen RuiA JunAn NaTian XinxinDong Jin-Tang - Cardiac conduction disorders predispose individuals to arrhythmias, currently but the exact mechanisms of cardiac conduction remain elusive. The study sought to identify the causal association between circulating plasma proteins and electrocardiogram (ECG) traits, offer valuable biological insights and clinical guidance into cardiac conduction. - Source: PubMed
Publication date: 2024/10/31
Zhao PengMeng LiHan FeiyuanYu ZhongzhiWang YidanWu YunfeiWang YanYu BoLiu XinxinTian Jinwei - We aimed to develop deep learning (DL) models to detect protein expression in immunohistochemically (IHC) stained tissue-sections, and to compare their accuracy and performance with manually scored clinically relevant proteins in common cancer types. Five cancer patient cohorts (colon, two prostate, breast, and endometrial) were included. We developed separate DL models for scoring IHC-stained tissue-sections with nuclear, cytoplasmic, and membranous staining patterns. For training, we used images with annotations of cells with positive and negative staining from the colon cohort stained for Ki-67 and PMS2 (nuclear model), the prostate cohort 1 stained for PTEN (cytoplasmic model) and β-catenin (membranous model). The nuclear DL model was validated for MSH6 in the colon, MSH6 and PMS2 in the endometrium, Ki-67 and CyclinB1 in prostate, and oestrogen and progesterone receptors in the breast cancer cohorts. The cytoplasmic DL model was validated for PTEN and Mapre2, and the membranous DL model for CD44 and Flotillin1, all in prostate cohorts. When comparing the results of manual and DL scores in the validation sets, using manual scores as the ground truth, we observed an average correct classification rate of 91.5 % (76.9-98.5 %) for the nuclear model, 85.6 % (73.3-96.6 %) for the cytoplasmic model, and 78.4 % (75.5-84.3 %) for the membranous model. In survival analyses, manual and DL scores showed similar prognostic impact, with similar hazard ratios and p-values for all DL models. Our findings demonstrate that DL models offer a promising alternative to manual IHC scoring, providing efficiency and reproducibility across various data sources and markers. - Source: PubMed
Publication date: 2024/06/13
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