ZNF510 antibody - N-terminal region (ARP35890_P050)
- Known as:
- ZNF510 (anti-) - N-terminal region (ARP35890_P050)
- Catalog number:
- arp35890_p050
- Product Quantity:
- USD
- Category:
- -
- Supplier:
- Aviva Systems Biology
- Gene target:
- ZNF510 antibody - N-terminal region (ARP35890_P050)
Related genes to: ZNF510 antibody - N-terminal region (ARP35890_P050)
- Gene:
- ZNF510 NIH gene
- Name:
- zinc finger protein 510
- Previous symbol:
- -
- Synonyms:
- KIAA0972
- Chromosome:
- 9q22.33
- Locus Type:
- gene with protein product
- Date approved:
- 2003-12-19
- Date modifiied:
- 2014-11-19
Related products to: ZNF510 antibody - N-terminal region (ARP35890_P050)
Related articles to: ZNF510 antibody - N-terminal region (ARP35890_P050)
- BACKGROUND: Synthetic rescue (SR) interactions, where a disease-promoting alteration in one gene is compensated by a secondary alteration in another gene, remain largely unexplored in Alzheimer’s disease (AD). Here, we performed a genome-wide investigation of SR gene pairs that mitigate the genetic risk of AD. METHODS: Using whole exome sequencing (WES) data from the Alzheimer’s Disease Sequencing Project (ADSP) participants (n = 9,895), we first identified AD risk genes by two complementary methods: Single-variant analysis and Gene-wise Variant Burden (GVB) analysis. We then performed a genome-wide log odds ratio comparison to identify candidate SR gene pairs and further prioritized them via Cox proportional hazards regression. Validation and single-cell analyses were performed in the Religious Orders Study and Rush Memory and Aging Project (ROSMAP) cohort. RESULTS: Among the 37 candidate SR gene pairs, 27 pairs showing significant protective effects (HR < 1, FDR < 0.05) in Cox regression were prioritized. Notably, NR4A1, SULT2A1, AKR1C4, OR52H1, ARMC7, RBAK-RBAKDN, DMC1 for APOE, and LPP, ZNF510 for TREM2 reduced the hazard of AD onset by more than half. The prioritized SR pairs were validated in ROSMAP cohort using a synthetic rescue score (SRS) that quantifies the cumulative protective effect of rescuer genes against risk gene burden. We observed that SRS was significantly associated with delayed AD onset. In addition, SRS was significantly associated with better cognitive outcomes but not with neuropathological burden, suggesting that SR pairs may confer cognitive resilience. Functional enrichment and single cell analyses highlighted lipid and sterol metabolism in oligodendrocytes and astrocytes as a plausible biological mechanism of SR interactions in AD. CONCLUSIONS: Our study extends understanding of SR interactions in AD, implicating glial lipid and sterol metabolism as a key underlying mechanism and providing novel insights for therapeutic strategies beyond targeting AD risk loci. - Source: PubMed
Publication date: 2026/04/11
Yoo Jun KiKim Ju Han - Osteoporosis is highly prevalent in postmenopausal women, yet genome-wide association studies often miss disease-relevant variants because of incomplete single nucleotide polymorphism (SNP) coverage and platform-specific limitations. We aimed to identify genetic contributors to osteoporosis risk by integrating two exome-based genotyping platforms with multilayer analytic approaches. We analyzed extreme osteoporosis phenotypes in Korean postmenopausal women from the Korean Genome and Epidemiology Study (KoGES) Ansan-Anseong cohorts using the Illumina Infinium HumanExome BeadChip and the Affymetrix Axiom Exome Array. After standard quality control, single-SNP logistic regression, cross-platform overlap analysis, and three machine-learning models were applied. Predicted functional impact was evaluated using multiple in silico algorithms and conservation scores. Finally, datasets from both platforms were merged, and cross-platform linkage disequilibrium (LD) blocks were defined to identify loci containing SNPs with < 1 × 10. No overlapped SNP reached genome-wide significance, but rs2076212 in achieved suggestive significance ( < 1 × 10) only on the Illumina array. Cross-platform analysis identified 111 overlapping SNPs in 70 genes. Integrated machine-learning, in silico, and conservation evidence prioritized , , , , , and as candidate genes. LD-block analysis revealed 10 blocks with at least one SNP at < 1 × 10, including four chromosome 12 loci (, , , ) that became apparent only when LD patterns were evaluated jointly across platforms. Combining dual exome arrays with LD-block analysis, machine learning, and functional prediction improved sensitivity for detecting low bone mineral density-related loci and highlighted , , , and related genes as biologically plausible candidates for future validation. - Source: PubMed
Publication date: 2026/01/03
Kim Su KangHong Seoung-JinSong Seung IlLee Jeong KeunKim GyutaeChoi Byung-JoonSeon SuyunKim Seung JunBan Ju YeonKang Sang Wook - Objective To determine the capacity of salivary biomarkers in the early diagnosis of oral squamous cell carcinoma. Study design A systematic review of the literature was performed based on the English titles listed in the PubMed, EBSCO, Cochrane, Science Direct, ISI web Science and SciELO databases using the following search descriptors: Oral cancer, diagnosis, biomarkers, saliva and oral squamous cell carcinoma. Abstracts and full-text articles were assessed independently by two reviewers. International checklists for assessment of methodological quality were used. Levels of evidence and grades of recommendation through the Scottish Intercollegiate Guidelines Network (SIGN) template were recognized. The units of analysis were identified through a reference matrix. Results Through the research strategy and after application of different filters and considering choosing criteria, six studies were obtained for analysis. Salivary biomarkers for oral cancer most frequently found were mRNA and proteins for IL-8, CD44, MMP-1 and MMP-3. New peptide-biomarkers such as Cyfra 21-1 and ZNF510 were found. ZNF 510 was the only biomarker which increased in the population with tumour stage T1 + T2 and T3 + T4. Only one study showed a sensitivity and specificity of 96% when the biomarker ZNF 510 is employed to discriminate early and late tumour stages. Conclusions There is no sufficient scientific evidence to support the capacity of the identified salivary biomarkers for the early diagnosis of oral cancer (sub-clinical stages of the pathogenic period before cancer phenotypes are manifested). Salivary biomarkers, however, may be employed to discriminate between healthy and cancer patients. - Source: PubMed
Publication date: 2015/11/18
Gualtero Diego FSuarez Castillo Angela - Oral squamous cell carcinoma (OSCC) is one of the most frequent malignancies worldwide. Early diagnosis can mean adequate treatment and increase survival. - Source: PubMed
Publication date: 2011/04/08
Jou Yu-JenLin Chia-DerLai Chih-HoTang Chih-HsinHuang Su-HuaTsai Ming-HsuiChen Shih-YinKao Jung-YieLin Cheng-Wen