ANKRD34B
- Known as:
- ANKRD34B
- Catalog number:
- 001635A
- Product Quantity:
- 250ul
- Category:
- -
- Supplier:
- ABM
- Gene target:
- ANKRD34B
Related genes to: ANKRD34B
- Gene:
- ANKRD34B NIH gene
- Name:
- ankyrin repeat domain 34B
- Previous symbol:
- -
- Synonyms:
- DP58
- Chromosome:
- 5q14.1
- Locus Type:
- gene with protein product
- Date approved:
- 2007-11-20
- Date modifiied:
- 2014-11-19
Related products to: ANKRD34B
Related articles to: ANKRD34B
- The main goal of this study was to pinpoint functional candidate genes associated with multiple economically important traits in Nellore cattle. After quality control, 1830 genomic regions sourced from 52 scientific peer-reviewed publications were used in this study. From these, a total of 8569 positional candidate genes were annotated for reproduction, 11,195 for carcass, 5239 for growth, and 3483 for morphological traits, and used in an over-representation analysis. The significant genes (adjusted -values < 0.05) identified in the over-representation analysis underwent prioritization analyses, and enrichment analysis of the prioritized over-represented candidate genes was performed. The prioritized candidate genes were , , , , , and for reproduction; , , , , , , , , , and for the carcass; and for growth traits; and no genes were prioritized for morphological traits. The functional analysis pinpointed the following genes: (plays a crucial role in spindle organization, which is essential in forming a robust mitotic centrosome), (involved in muscle cell differentiation), and (involved in protein deubiquitination, thereby improving growth). The enrichment of the functional candidate genes identified in this study highlights that these genes play an important role in the expression of reproduction, carcass, and growth traits in Nellore cattle. - Source: PubMed
Publication date: 2024/08/27
Ogunbawo Adebisi RMulim Henrique ACampos Gabriel SOliveira Hinayah R - Both age-dependent and age-independent alteration of DNA methylation in human tissues are functionally associated with the development of many malignant and non-malignant human diseases. TCGA-KIRC data were biometrically analyzed to identify new loci with age-dependent DNA methylation that may contribute to tumor risk in normal kidney tissue. ANKRD34B and ZIC1 were evaluated as candidate genes by pyrosequencing of 539 tissues, including 239 normal autopsy, 157 histopathologically tumor-adjacent normal, and 143 paired tumor kidney samples. All candidate CpG loci demonstrated a strong correlation between relative methylation levels and age (R = 0.70−0.88, p < 2 × 10−16) and seven out of 10 loci were capable of predicting chronological age in normal kidney tissues, explaining 84% of the variance (R = 0.92). Moreover, significantly increased age-independent methylation was found for 9 out of 10 CpG loci in tumor-adjacent tissues, compared to normal autopsy tissues (p = 0.001−0.028). Comparing tumor and paired tumor-adjacent tissues revealed two patient clusters showing hypermethylation, one cluster without significant changes in methylation, and a smaller cluster demonstrating hypomethylation in the tumors (p < 1 × 10−10). Taken together, our results show the presence of additional methylation risk factors besides age for renal cancer in normal kidney tissue. Concurrent tumor-specific hypermethylation suggests a subset of these loci are candidates for epigenetic renal cancer susceptibility. - Source: PubMed
Publication date: 2022/05/10
Serth JürgenPeters IngaHill BastianHübscher TatjanaHennenlotter JörgKlintschar MichaelKuczyk Markus Antonius - Osteoporosis is a bone disease that increases the patient's risk of fracture. We aimed to identify robust marker genes related to osteoporosis based on different bioinformatic methods and multiple datasets. - Source: PubMed
Publication date: 2022/01/28
Tang HongweiHan QingtianYin Yong - Alzheimer's disease (AD) is a neurodegenerative disorder and characterized by the cognitive impairments. It is essential to identify potential gene biomarkers for AD pathology. - Source: PubMed
Publication date: 2020/03/26
Ren JiantingZhang BoWei DongfengZhang Zhanjun - Due to heterogeneous multifocal nature of prostate cancer (PCa), there is currently a lack of biomarkers that stably distinguish it from benign prostatic hyperplasia (BPH), predict clinical outcome and guide the choice of optimal treatment. In this study RNA-seq analysis was applied to formalin-fixed paraffin-embedded (FFPE) tumor and matched normal tissue samples collected from Russian patients with PCa and BPH. We identified 3384 genes differentially expressed (DE) (FDR < 0.05) between tumor tissue of PCa patients and adjacent normal tissue as well as both tissue types from BPH patients. Overexpression of four of the discovered genes (ANKRD34B, NEK5, KCNG3, and PTPRT) was validated by RT-qPCR. Furthermore, the enrichment analysis of overrepresented microRNA and transcription factor (TF) recognition sites within DE genes revealed common regulatory elements of which 13 microRNAs and 53 TFs were thus linked to PCa for the first time. Moreover, 8 of these TFs (FOXJ2, GATA6, NFE2L1, NFIL3, PRRX2, TEF, EBF2 and ZBTB18) were found to be differentially expressed in this study making them not only candidate biomarkers of prostate cancer but also potential therapeutic targets. - Source: PubMed
Nikitina Anastasia SSharova Elena IDanilenko Svetlana AButusova Tatiana BVasiliev Alexandr OGovorov Alexandr VPrilepskaya Elena APushkar Dmitry YKostryukova Elena S