Ask about this productRelated genes to: MRPL46 antibody
- Gene:
- MRPL46 NIH gene
- Name:
- mitochondrial ribosomal protein L46
- Previous symbol:
- C15orf4
- Synonyms:
- LIECG2, P2ECSL
- Chromosome:
- 15q25.3
- Locus Type:
- gene with protein product
- Date approved:
- 1999-12-01
- Date modifiied:
- 2014-11-19
Related products to: MRPL46 antibody
Related articles to: MRPL46 antibody
- Current diagnostics for ischemic stroke (IS) lack timeliness and accessibility, highlighting the need for novel molecular diagnostic models. Three gene expression datasets (GSE16561, GSE22255 and GSE58294), encompassing both IS patients and healthy control subjects, were retrieved from a public database. The mitochondrial dysfunction genes retrieve from the intersection of the GeneCards and MitoCarta3.0 databases. The limma and WGCNA package were used to obtain the genes related to IS. Feature genes were screened using LASSO, RF, SVM, and diagnostic models were constructed using NeighborMethod, NeuralNet, and BayesMethod. 3548 differentially expressed genes (DEGs) (1538 upregulated, 2010 downregulated) were identified in IS patients when compared to controls. WGCNA analysis yielded 10 IS-related modules containing 1643 genes. The intersection of DEGs, module genes, and mitochondrial dysfunction genes yielded 100 mitochondrial dysfunction genes associated with IS. These genes collectively regulate biological processes like mitochondrial ATP synthesis coupled electron transport and respiratory electron transport chain, and participate in IS-associated signaling pathways such as reactive oxygen species and oxidative phosphorylation. Further machine learning methods identified 4 feature genes, including MCL1, MRPL46, MTX3 and RNASEH1. These four genes exhibited robust diagnostic potential in the merged dataset (all AUC > 0.7). The machine learning models achieved AUC values of 0.814 (NeighborMethod), 0.852 (NeuralNet), and 0.842 (BayesMethod). External validation using an independent cohort confirmed that all models maintained high diagnostic accuracy (AUC range: 0.730-0.783). This study established a multi-gene diagnostic model for IS, identifying novel molecular biomarkers to improve the timeliness and accessibility of IS diagnosis. - Source: PubMed
Publication date: 2026/05/02
Wu DandanHuang XiaolanLi JieMo DingminLan WeiweiSong ZihanSu LiLong JianxiongYang Jialei - Schizophrenia (SZ) is frequently accompanied by cognitive impairment, yet validated molecular biomarkers remain limited. This study aimed to identify immune-related biomarkers, particularly APOA1BP and natural killer (NK) cells, through integrative bioinformatics analyses. Three gene expression omnibus transcriptomic datasets (GSE93987, GSE87610, GSE73129) were analyzed. Differentially expressed genes (DEGs) were identified and evaluated using Weighted Gene co-expression Network Analysis (WGCNA) and LASSO regression. Immune cell infiltration was assessed by single-sample gene set enrichment analysis (ssGSEA). Diagnostic performance of candidate genes was validated in independent cohorts using receiver operating characteristic analysis. Seventy DEGs were identified, mainly involved in extracellular matrix and cell adhesion. Four candidate genes (APOA1BP, C12orf57, MRPL46, ZDHHC11) were highlighted, with APOA1BP consistently downregulated in SZ. ROC analysis demonstrated diagnostic potential (AUC up to 0.76), though performance varied across tissues. NK cell infiltration was significantly elevated in SZ and negatively correlated with APOA1BP and MRPL46. Validation confirmed APOA1BP as the most robust biomarker in DLPFC-derived datasets, while olfactory epithelial-derived samples showed limited significance, likely reflecting tissue-specific heterogeneity. This multi-cohort bioinformatics analysis identifies APOA1BP and NK cells as promising biomarkers in SZ-associated cognitive impairment. While findings are correlative, they suggest that immune-metabolic interactions may contribute to SZ pathophysiology. Future research should validate these biomarkers in larger, clinically annotated cohorts and explore their mechanistic and therapeutic potential. - Source: PubMed
You XuLiang HongmingYang HuabinShi Rongzong - Mitochondria dysfunction plays a pivotal role in major depressive disorder (MDD), but the causal link between mitochondria dysfunction and MDD remains unclear. - Source: PubMed
Publication date: 2025/04/22
Li HongpingLiu QingShan QingXu HuasenWang JunwenLiu LongfeiWang Yiming - An extensive proteomic analysis utilizing the tandem mass tag (TMT) method was conducted to investigate the changes in protein expression in the longissimus dorsi muscle of Xinjiang goats over various post-mortem intervals: immediately after death within 0 h, 12 h, 24 h and 48 h. The investigation carefully identified around 108 proteins that showed significant changes in expression during these intervals. Among these proteins, six were highlighted for their crucial roles in muscle growth and differentiation of muscle fibers post-mortem. These proteins, namely COL12A1, MRPL46, CTNNB1, MYH1, CAPZA1, and MYL9, have a direct effect on the meat's quality attributes, such as tenderness and color. Further discuss observed a progressive increase in the expression of proteins linked with oxidative metabolism (MSRB2, ENOX1, LOC102170282, GSTM1, and AOC3) as the post-mortem aging period extended, particularly between 24 h to 48 h. These proteins are instrumental in defining the color and flavor profiles of goat meat, underscoring the importance of precise processing and storage conditions to preserve meat quality during the critical aging phase. This enhanced understanding of protein expression dynamics offers significant implications for optimizing meat quality and provides a scientific basis for post-mortem handling practices in the goat meat industry. - Source: PubMed
Publication date: 2024/09/20
Zhang DuoduoYu HongGu MinghuiZhang ShiquanMa XiaolinZhang WeiZhu YanleiAl-Wraikat MajidaAbubaker Mohamed AamerZhang RuiLiu Yongfeng - Globally, liver cancer is one of the most common malignant tumors and is the third leading cause of cancer deaths. RNA-binding protein (RBP) is a general term for a class of proteins that bind to RNA to regulate metabolic processes. The expression of RNA-binding proteins is related to the prognosis of liver cancer patients. - Source: PubMed
Apizi AnwaierWang LinWusiman LaibijiangSong ErchuHan YipengJia TengfeiZhang Wenbin