Ask about this productRelated genes to: MYEF2 antibody
- Gene:
- MYEF2 NIH gene
- Name:
- myelin expression factor 2
- Previous symbol:
- -
- Synonyms:
- MEF-2, FLJ11213, KIAA1341, HsT18564
- Chromosome:
- 15q21.1
- Locus Type:
- gene with protein product
- Date approved:
- 2003-03-20
- Date modifiied:
- 2015-07-22
Related products to: MYEF2 antibody
Related articles to: MYEF2 antibody
- Alzheimer's disease (AD) is a leading cause of dementia worldwide. As current diagnostic approaches remain limited in sensitivity and accessibility, there is a critical need for novel, non-invasive biomarkers aiding early detection. Non-coding RNAs (ncRNAs), including long non-coding RNAs (lncRNAs), PIWI-interacting RNAs (piRNAs), and small nucleolar RNAs (snoRNAs), have emerged as promising candidates due to their regulatory roles in gene expression and association with diseases. In this study, we systematically profiled ncRNA expression from RNA sequencing data of 48 AD and 22 control blood tissue samples, aiming to evaluate their utility as biomarkers for AD classification. Differential expression analysis revealed widespread dysregulation of lncRNAs and piRNAs, with over 5000 lncRNAs and nearly 1000 piRNAs significantly upregulated in AD. Weighted gene co-expression network analysis (WGCNA) identified multiple ncRNA modules associated with the AD phenotype. Using supervised machine learning approaches, we evaluated the diagnostic potential of ncRNA expression profiles, including single-gene, multi-gene, and module-level models. Random Forest models trained on individual genes identified 121 ncRNAs with AUROC > 0.8. Feature importance analysis emphasized ncRNAs such as lnc-MYEF2-3, lnc-PRKACB2, and HBII-115 as major contributors to diagnostic accuracy. These findings support the potential of ncRNA signatures as reliable and non-invasive biomarkers for AD diagnosis. - Source: PubMed
Publication date: 2025/06/03
Xin RuominKim ElizabethLi Wei TseWang-Rodriguez JessicaOngkeko Weg M - Growing evidence has identified potential biomarkers of cognitive-behavioural therapy (CBT) efficacy in obsessive-compulsive disorder (OCD). Genetic and epigenetic mechanisms (e.g., polymorphisms, DNA methylation) contribute to OCD pathogenesis and CBT response variability, establishing them as a key research focus. To evaluate their associations with CBT outcomes in OCD, we conducted a systematic review of PubMed, Web of Science, CNKI, and Cochrane Library (from inception to January 2025), identifying eight studies that met rigorous inclusion criteria. The identified predictors included: (1) Genetic polymorphisms (BDNF); (2) Epigenetic modifications (DNA methylation of MAOA, SLC6A4, OXTR, PIWIL1, MIR886, PLEKHA1, KCNQ1, TRPM8, HEBP1, HTR7P1, MAPK8IP3, ENAH, RABGGTB (SNORD45C), MYEF2, GALK2, CEP192, and UIMC1). These markers may influence neural plasticity, neurotransmitter regulation, and related processes, providing molecular substrates for the observed treatment effects. Converging evidence suggests that distinct neurocognitive mechanisms may mediate CBT efficacy in OCD, particularly fear extinction learning and goal-directed behaviors (GDBs), which we analyze mechanistically. Future studies should integrate polygenic risk scores (PRS) with functional neuroimaging to dissect individual variability in CBT response, mainly through cortico-striato-thalamo-cortical (CSTC) circuit profiling. To our knowledge, this is the first systematic review synthesizing genetic and epigenetic predictors of CBT response in OCD; these findings provide compelling evidence for biomarkers for CBT personalization in OCD, advancing a novel precision psychiatry framework. - Source: PubMed
Publication date: 2025/05/03
Chen YuWang PengchongLi Zhanjiang - s are noncanonical long noncoding RNAs (lncRNAs) that are 5' small nucleolar RNA (snoRNA) capped and 3' polyadenylated. Two s are processed from a polycistronic transcript embedded in the human 15q11-q13 region related to Prader-Willi syndrome (PWS). Once produced, s accumulate at their transcription site and sequester splicing factors to form PWS bodies that are involved in alternative splicing regulation. But how the processing of s is regulated has remained obscure. Here, we identified that both far upstream element-binding protein 1 (FUBP1) and myelin expression factor 2 (MYEF2) were enriched in the PWS bodies; loss of either individually impaired s' expression and dampened the size of PWS bodies in H9 and PA1 cells. Specifically, FUBP1, on the one hand, enhanced the transcription of -embedded polycistronic transcripts by targeting the FUSE-like sequence upstream of the promoter, and on the other hand, was required for splicing and maturation by binding the uridine (U)-rich intronic sequences. These findings suggest a comprehensive and distinct regulation of PWS region-derived lncRNAs. - Source: PubMed
Publication date: 2025/05/16
Yang Zheng-HuNan FangXu GuangWu HuangWei Meng-YuanYang LiChen Ling-LingWu Hao - We employed single-cell transcriptome sequencing to reveal the dynamic gene expression changes during the differentiation of adipose-derived stromal cells (ADSCs) into astrocytes. Single-cell RNA sequencing was conducted on cells from the ADSCs group and the induced groups at 2, 7, 14, and 21 days using the 10 × Chromium platform. Data underwent quality control and dimensionality reduction. Cell differentiation trajectories were constructed using Monocle2, and differentially expressed genes (DEGs) in each cell cluster were identified using differential selection algorithms. DEGs at each time point were annotated using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG), and regulatory intensities of transcription factors were analyzed using SCENIC. Integrating all groups, a total of five samples were divided into 13 cell clusters (0-12 clusters). DEGs between clusters and those compared with ADSCs at various induced time points showed distinct specificities. Monocle2 constructed cell differentiation trajectories; ADSCs can differentiate into mature astrocytes not only through the direct pathway from the 1 branch to the 3 branch but also through an indirect pathway, involving the 1 branch to the 2 branch before progressing to the 3 branch. SCENIC analysis highlighted the critical regulatory roles of STAT1, MYEF2, and SOX6 transcription factors during the differentiation of ADSCs into astrocytes. ADSCs can differentiate into mature astrocytes through two distinct pathways: direct and indirect. By the 14th day of induction, mature astrocytes have formed, characterized by a cell cycle arrest in mitosis. Further induction leads to degenerative senescence changes in differentiated cells. - Source: PubMed
Publication date: 2024/08/27
Yuan XiaodongLong QingxiLi WenYan QiZhang Pingshu - Eukaryotic elongation factor 1A1 (eEF1A1) is an RNA-binding protein that is associated with PARK2 activity in cells, suggesting a possible role in Parkinson's disease (PD). - Source: PubMed
Publication date: 2024/05/22
Lei JingAimaier GuliqiemuAisha ZaolaguliZhang YanMa Jianhua