Ask about this productRelated genes to: TMEM144 Blocking Peptide
- Gene:
- TMEM144 NIH gene
- Name:
- transmembrane protein 144
- Previous symbol:
- -
- Synonyms:
- FLJ11155
- Chromosome:
- 4q32.1
- Locus Type:
- gene with protein product
- Date approved:
- 2006-03-24
- Date modifiied:
- 2019-03-20
Related products to: TMEM144 Blocking Peptide
Related articles to: TMEM144 Blocking Peptide
- Aging is a major biological process underlying increased risk of chronic and neurodegenerative diseases, yet its molecular mechanisms remain incompletely defined. Our study systematically investigates the conserved functions and pathways of W06A7.4 in Caenorhabditis elegans and its human homolog TMEM144 in the regulation of aging, combining genetic manipulation in model organisms, analysis of human clinical samples, and functional assays in cell lines. The results demonstrate that W06A7.4 promotes longevity in C. elegans through synergistic effects with dietary restriction, reduction of oxidative damage, modulation of IIS and mTOR signaling, and maintenance of mitochondrial membrane potential. In human samples and cellular models, TMEM144 expression increases with age and in Alzheimer's disease. Our results suggest that TMEM144 may be involved in the regulation of glucose transport and mitochondrial respiration via the downstream protein TIMMDC1. These findings advance our understanding of evolutionarily conserved aging pathways and identify W06A7.4/TMEM144 as promising molecular targets for anti-aging and neurodegenerative disease interventions. - Source: PubMed
Publication date: 2025/09/30
Wang Li FangLiu XiaorongLi SisiLi RongLi RanYan FengxiaJing Xi - Atherosclerosis (AS) causes thickening and hardening of the arterial wall due to accumulation of extracellular matrix, cholesterol, and cells. In this study, we used comprehensive bioinformatics tools and machine learning approaches to explore key genes and molecular network mechanisms underlying AS in multiple data sets. Next, we analyzed the correlation between AS and immune fine cell infiltration, and finally performed drug prediction for the disease. We downloaded GSE20129 and GSE90074 datasets from the Gene expression Omnibus database, then employed the Cell-type Identification By Estimating Relative Subsets Of RNA Transcripts algorithm to analyze 22 immune cells. To enrich for functional characteristics, the black module correlated most strongly with T cells was screened with weighted gene co-expression networks analysis. Functional enrichment analysis revealed that the genes were mainly enriched in cell adhesion and T-cell-related pathways, as well as NF-κ B signaling. We employed the Lasso regression and random forest algorithms to screen out 5 intersection genes (CCDC106, RASL11A, RIC3, SPON1, and TMEM144). Pathway analysis in gene set variation analysis and gene set enrichment analysis revealed that the key genes were mainly enriched in inflammation, and immunity, among others. The selected key genes were analyzed by single-cell RNA sequencing technology. We also analyzed differential expression between these 5 key genes and those involved in iron death. We found that ferroptosis genes ACSL4, CBS, FTH1 and TFRC were differentially expressed between AS and the control groups, RIC3 and FTH1 were significantly negatively correlated, whereas SPON1 and VDAC3 were significantly positively correlated. Finally, we used the Connectivity Map database for drug prediction. These results provide new insights into AS genetic regulation. - Source: PubMed
Su XiaoxueZhang MengYang GuinanCui XuebinYuan XiaoqingDu LiunianboPei Yuanmin - Renal clear cell carcinoma (RCC) has negative prognosis and high mortality due to its early diagnosis difficulty and early metastasis. Although previous studies have confirmed the negative progression of RCC is closely related to M2 macrophages in tumor-associated macrophages (TAMs), the specific mechanism is still unknown. - Source: PubMed
Publication date: 2023/06/08
Zhang XiaoxuSun YangMa YushuoGao ChengwenZhang YouzhiYang XiaokunZhao XiaWang WeiWang Lisheng - The competitive endogenous RNA (ceRNA) and tumor-penetrating immune cells may be related to the prognosis of oral cancer. However, few studies have focused on the correlation between ceRNAs and immune cells. Thus, we developed a method based on a ceRNA network and tumor-infiltrating immune cells to elucidate the molecular pathways that may predict prognosis in patients with oral cancer. Download RNAseq expression data of oral cancer and control samples from the Cancer Genome Atlas (TCGA), obtain differentially expressed genes and establish a ceRNA network. The cox analysis and lasso regression analysis were used to screen key RNAs to establish a prognostic risk assessment model, and draw a 1.3.5-year forecast nomogram. Then the CIBERSORT algorithm was used to screen important tumor immune infiltrating cells associated with oral cancer. Another prognostic predictive model related to immune cells was established. Finally, co-expression analysis was applied to explore the relationship between key genes in the ceRNA network and important immune cells. Multiple external data sets are used to test the expression of key biomarkers. We constructed prognostic risk models of ceRNA and immune cells, which included 9 differentially expressed mRNAs and 2 types of immune cells. It was discovered from the co-expression analysis that a pair of important biomarkers were associated with the prognosis of oral cancer. T cells regulatory and CGNL1 (R = 0.39, P < .001) showed a significant positive correlation. External data set validation also supports this result. In this study, we found that some crucial ceRNAs (GGCT, TRPS1, CGNL1, HENMT1, LCE3A, S100A8, ZNF347, TMEM144, TMEM192) and immune cells (T cells regulatory and Eosinophils) may be related to the prognosis of oral cancer. - Source: PubMed
Ma SaiGuo JieZhang XuanYang YongchaoBao YangZhang SuxinLi Tianke - Effects of feeding male rats during spermatogenesis a high-fat, high-sucrose and high-salt diet (HFSSD) over two generations (F0 and F1) on renal outcomes are unknown. Male F0 and F1 rats were fed either control diet (F0CD+F1CD) or HFSSD (F0HD+F1HD). The outcomes were glomerular filtration rate and urinary albumin excretion in F1 and F2 offspring. If both outcomes were altered a morphological and molecular assessment was done. F2 offspring of both sexes had a decreased GFR. However, increased urinary albumin excretion was only observed in female F2 F0HD+F1HD offspring compared with controls. F0HD+F1HD female F2 offspring developed glomerulosclerosis (+31%; p < .01) and increased renal interstitial fibrosis (+52%; p < .05). RNA sequencing followed by qRT-PCR validation showed that four genes (Enpp6, Tmem144, Cd300lf, and Actr3b) were differentially regulated in the kidneys of female F2 offspring. lncRNA XR-146683.1 expression decreased in female F0HD+F1HD F2 offspring and its expression was (r = 0.44, p = .027) correlated with the expression of Tmem144. Methylation of CpG islands in the promoter region of the Cd300lf gene was increased (p = .001) in female F2 F0HD+F1HD offspring compared to controls. Promoter CpG island methylation rate of Cd300lf was inversely correlated with Cd300lf mRNA expression in F2 female offspring (r = -0.483, p = .012). Cd300lf mRNA expression was inversely correlated with the urinary albumin-to-creatinine ratio in female F2 offspring (r = -0.588, p = .005). Paternal pre-conceptional unhealthy diet given for two generations predispose female F2 offspring to chronic kidney disease due to epigenetic alterations of renal gene expression. Particularly, Cd300lf gene promotor methylation was inversely associated with Cd300lf mRNA expression and Cd300lf mRNA expression itself was inversely associated with urinary albumin excretion in F2 female offspring whose fathers and grandfathers got a pre-conceptional unhealthy diet. - Source: PubMed
Zhang XiaoliHasan Ahmed AWu HongweiGaballa Mohamed M SZeng SuiminLiu LipingXie LiJung TobiasGrune TilmanKrämer Bernhard KKleuser BurkhardLi JianHocher Berthold