Ask about this productRelated genes to: RUFY2 antibody
- Gene:
- RUFY2 NIH gene
- Name:
- RUN and FYVE domain containing 2
- Previous symbol:
- -
- Synonyms:
- RABIP4R, FLJ10063, KIAA1537, ZFYVE13
- Chromosome:
- 10q21.3
- Locus Type:
- gene with protein product
- Date approved:
- 2002-11-26
- Date modifiied:
- 2016-10-05
Related products to: RUFY2 antibody
Related articles to: RUFY2 antibody
- Genome-wide association studies (GWASs) have identified more than 130 genetic susceptibility loci for migraine; however, how most of these loci impact migraine development is unknown. To identify novel genes associated with migraine and interpret the transcriptional products of those genes, we conducted a transcriptome-wide association study (TWAS). We performed tissue-specific and multi-tissue TWAS analyses to assess associations between imputed gene expression from 53 tissues and migraine susceptibility using FUSION software. Meta-analyzed GWAS summary statistics from 26,052 migraine cases and 487,214 controls, all of European ancestry and from two cohorts (the Kaiser Permanente GERA and the UK Biobank), were used. We evaluated the associations for genes after conditioning on variant-level effects from GWAS, and we tested for colocalization of GWAS migraine-associated loci and expression quantitative trait loci (eQTLs). Across tissue-specific and multi-tissue analyses, we identified 53 genes for which genetically predicted gene expression was associated with migraine after correcting for multiple testing. Of these 53 genes, 10 (, , , , , , , , , and ) did not overlap known migraine-associated loci identified from GWAS. Tissue-specific analysis identified 45 gene-tissue pairs and cardiovascular tissues represented the highest proportion of the Bonferroni-significant gene-tissue pairs (n = 22 [49%]), followed by brain tissues (n = 6 [13%]), and gastrointestinal tissues (n = 4 [9%]). Colocalization analyses provided evidence of shared genetic variants underlying eQTL and GWAS signals in 18 of the gene-tissue pairs (40%). Our TWAS reports novel genes for migraine and highlights the important contribution of brain, cardiovascular, and gastrointestinal tissues in migraine susceptibility. - Source: PubMed
Publication date: 2023/06/09
Meyers Travis JYin JieHerrera Victor APressman Alice RHoffmann Thomas JSchaefer CatherineAvins Andrew LChoquet Hélène - Glioblastoma (GBM) is the most common primary malignant brain tumor in adults. For patients with GBM, the median overall survival (OS) is 14.6 months and the 5-year survival rate is 7.2%. It is imperative to develop a reliable model to predict the survival probability in new GBM patients. To date, most prognostic models for predicting survival in GBM were constructed based on bulk RNA-seq dataset, which failed to accurately reflect the difference between tumor cores and peripheral regions, and thus show low predictive capability. An effective prognostic model is desperately needed in clinical practice. - Source: PubMed
Publication date: 2022/04/16
Lai WenwenLi DefuKuang JieDeng LibinLu Quqin - Rigorous molecular characterization of biological systems has uncovered a variety of gene variations underlying normal and disease states and a remarkable complexity in the forms of RNA transcripts that exist. A recent concept, competitive endogenous RNA, suggests that some non-coding RNAs can bind to miRNAs to modulate their role in gene expression. Here, we used several platforms, integrating mRNA, non-coding RNAs and protein data to generate an RNA-protein network that may be dysregulated in human glioblastoma multiforme (GBM). Publicly available microarray data for mRNA and miRNA were used to identify differentially expressed miRNAs and mRNAs in GBM relative to non-neoplastic tissue samples. Target miRNAs were further selected based on their prognostic significance, and the intersection of their target gene set with the differentially expressed gene set in Venn diagrams. Two miRNAs, miR-637 and miR-196a-5p, were associated with poor and better prognosis, respectively, in GBM patients. Non-coding RNAs, ENSG00000203739/ENSG00000271646 and TPTEP1, were predicted to be miRNA target genes for miR-637 and miR-196a-5p and positively correlated with the selected mRNA, CYBRD1 and RUFY2. A local protein interaction network was constructed using these two mRNAs. Predictions based on the ENSG00000203739/ENSG00000271646-miR-637-CYBRD1 and TPTEP1-miR-196a-5p-RUFY2 regulation axes indicated that the two proteins may act as an oncogene and tumor suppressor, respectively, in the development of GBM. These results highlight competitive endogenous RNA networks as alternative molecular therapeutic targets in the treatment of the disease. - Source: PubMed
Publication date: 2020/03/09
Zheng JingfangSu ZhiyingKong YangLin QingpingLiu HongliWang YanlongWang Jian - MicroRNAs play an essential role in the regulation of gene expression and tumor development. Single nucleotide polymorphism (SNP) can be observed in miRNAs and could influence gene expression. We aimed to identify miR-146a rs2910164 and miR-196a-2 rs11614913 polymorphisms in ovarian cancer patients and controls. 75 patients and 75 controls were involved. DNA was isolated from blood samples. MiR-146a rs2910164 and miR-196a-2 rs11614913 were determined by LightSnip kit. We used melting curve analysis for allele classification. Network analysis was made to find common target genes. We detected 72.67% G allele frequency of miR-146a rs2910164 in controls and 82.00% in patients group (p = 0,053). GG, GC and CC genotypes occurred with 53.33%, 38.67% and 8.00% among controls, with 65.33%, 33.33% and 1.33% among patients, (p = 0.0917). Allele C of miR-196a-2 rs11614913 occurred in 59.33% of controls and in 67.33% of patients (p = 0.15). CC, CT and TT genotypes occurred with 37.33%, 44.00%, and 18.67% frequency in controls, with 46.67%; 41.33% and 12.00% in patients (p = 0.3815). Network analysis found ATG9A, LBR, MBD4 and RUFY2 genes to be targets for both miRNAs. SNPs of miR-146a and miR-196a-2 showed no significant differences between patients and controls. More investigations are required to clarify the exact role of these SNPs in ovarian cancer. - Source: PubMed
Publication date: 2019/03/20
Lukács JánosSoltész BeátaPenyige AndrásNagy BálintPóka Róbert - In the field of gene fusions driving tumorigenesis in papillary thyroid carcinoma (PTC), rearrangement of the proto-oncogene RET is the most frequent alteration. Apart from the most common rearrangement of RET to CCDC6, more than 15 partner genes are yet reported. The landscape of RET rearrangements in PTC ("RET-PTC") can notably be enlarged by modern targeted next-generation sequencing, indicating similarities between oncogenic pathways in other cancer types with identical genetic alterations. - Source: PubMed
Publication date: 2018/11/13
Staubitz Julia IsabelleSchad ArnoSpringer ErikRajalingam KrishnarajLang HaukeRoth WilfriedHartmann NilsMusholt Thomas Johannes