ZNF701 antibody - middle region (ARP35951_P050)
- Known as:
- ZNF701 (anti-) - middle region (ARP35951_P050)
- Catalog number:
- arp35951_p050
- Product Quantity:
- USD
- Category:
- -
- Supplier:
- Aviva Systems Biology
- Gene target:
- ZNF701 antibody - middle region (ARP35951_P050)
Related genes to: ZNF701 antibody - middle region (ARP35951_P050)
- Gene:
- ZNF701 NIH gene
- Name:
- zinc finger protein 701
- Previous symbol:
- -
- Synonyms:
- FLJ10891
- Chromosome:
- 19q13.41
- Locus Type:
- gene with protein product
- Date approved:
- 2005-08-12
- Date modifiied:
- 2014-11-19
Related products to: ZNF701 antibody - middle region (ARP35951_P050)
Related articles to: ZNF701 antibody - middle region (ARP35951_P050)
- Stress is an important risk factor for suicidal ideation, but the mechanisms that link stress, suicidal ideation and neurobiology remain unclear. Epigenetic mechanisms are involved in both vulnerability to suicidal behavior and stress. This is a pilot study of 60 patients with schizophrenia spectrum disorders (36 men and 24 women), with an average age of 43.75 ± 12.24 years. We analyzed the effects of (1) perceived stress and (2) the mediation of genome-wide methylation (~450 000 CpG sites) on suicidal ideation severity. The top CpG site mediating the effect of stress on suicidal ideation was the cg10782349 located in the ZNF701 gene on chromosome 19, facilitating the effect through DNA hypermethylation. These preliminary results indicate that DNA methylation in peripheral tissues can clarify the complex relationship between stress and suicidal ideation in schizophrenia. - Source: PubMed
Dada OluwagbengaAdanty ChristopherDai NasiaZai ClementGerretsen PhilipGraff Arielde Luca Vincenzo - Aberrant DNA methylations have been reported to be significantly associated with lung squamous cell cancer (LUSC). The aim of this study was to investigate the DNA methylation-driven genes in LUSC by integrative bioinformatics analysis. In the present study, methylation-driven genes in LUSC were screened out, and survival analysis related to these genes was performed to confirm their value in prognostic assessment. Gene expression and methylation data were downloaded from The Cancer Genome Atlas (TCGA), and the MethylMix algorithm was used to identify methylation-driven genes. ConsensusPathDB was used to perform Gene Ontology and pathway enrichment analysis of methylation-driven genes. Survival analysis was performed to investigate the correlation with prognosis. In total, 52 differentially expressed methylation-driven genes were identified in LUSC and adjacent tissues. Survival analysis showed that , and could serve as independent prognostic biomarkers. In addition, the combined methylation and gene expression survival analysis revealed that the combined expression level of the genes , and alone can be used as a prognostic marker or drug target. Methylation of four sites of gene , four sites of , two sites of DQX1, and four sites of was significantly associated with survival. The present study provides an important bioinformatic and relevant theoretical basis for subsequent early diagnosis and prognostic assessment of LUSC. - Source: PubMed
Publication date: 2019/11/29
Han PengkaiLiu QipingXiang Jianhua