Mouse polyclonal to ADHFE1, Host Mouse
- Known as:
- Mouse pab ADHFE1, Host Mouse
- Catalog number:
- YF-PA26888
- Product Quantity:
- 50 uL
- Category:
- -
- Supplier:
- Abfron
- Gene target:
- Mouse polyclonal ADHFE1 Host
Ask about this productRelated genes to: Mouse polyclonal to ADHFE1, Host Mouse
- Gene:
- ADHFE1 NIH gene
- Name:
- alcohol dehydrogenase iron containing 1
- Previous symbol:
- -
- Synonyms:
- ADHFe1, FLJ32430
- Chromosome:
- 8q13.1
- Locus Type:
- gene with protein product
- Date approved:
- 2003-10-09
- Date modifiied:
- 2019-01-21
Related products to: Mouse polyclonal to ADHFE1, Host Mouse
Related articles to: Mouse polyclonal to ADHFE1, Host Mouse
- Non-Small Cell Lung Cancer (NSCLC) remains a leading cause of cancer-related deaths worldwide, creating an urgent need to explore new drugs and clarify their mechanisms of action. In recent years, lactic acid bacteria-derived extracellular vesicles (EVs) have shown great potential in anti-tumor therapy; however, research on their role in lung cancer remains limited. In this study, EVs from three common Lactobacillus species were isolated to verify their anti-tumor effects on lung cancer. Among these, the extracellular vesicles derived from Lactobacillus rhamnosus GG (LGG-EVs) exhibited the most significant anti-cancer activity. A549 and H1299 cells were treated with LGG-EVs, and transcriptome sequencing analysis was performed. The results revealed that Alcohol Dehydrogenase Iron-Containing 1 (ADHFE1)- a differentially expressed gene with notable changes before and after treatment- displayed the same expression pattern in both cell lines. Further verification was conducted using methods including Western Blotting, Transwell, wound healing, and flow cytometry. Compared with the control group, treatment with LGG-EVs led to downregulated ADHFE1 expression in both cell lines, along with inhibited malignant cellular behaviors and glycolysis capacity. Notably, overexpression of ADHFE1 significantly reversed these effects. These findings indicate that the anti-tumor effect of LGG-EVs on lung cancer may be achieved through ADHFE1-mediated metabolic reprogramming. This study is the first to identify that ADHFE1-mediated metabolic reprogramming could be a key mechanism by which LGG-EVs inhibit lung cancer, providing a new target and strategy for lung cancer treatment. - Source: PubMed
Publication date: 2026/06/16
Wang YangShen ShuaiChen NiLi JiamingSu YujiangChen YunXu Zheyuan - Diabetic kidney disease (DKD) is a multifactorial complication of diabetes involving mitochondrial dysfunction and immune cell infiltration. However, the causal relationships remain unclear. - Source: PubMed
Publication date: 2025/12/25
Zhang TianyueWu JunxiaZhang JiazhiHu YepengZhao YimingMao GuangyunJiao JingjingWang JunChen RiqiuZheng Chao - Non-small cell lung cancer (NSCLC) remains a leading cause of cancer-related mortality, and EGFR-mutant tumors show limited response to current immunotherapy. The immunosuppressive tumor microenvironment, particularly metabolic constraints on effector T cells, is increasingly recognized as a major barrier to effective anti-tumor responses. HHLA2, a B7 family member frequently elevated in EGFR-mutant NSCLC, has an incompletely defined role in immune escape. In this study, we demonstrate that tumor-derived HHLA2 engages the inhibitory receptor KIR3DL3 on CD8 T cells, driving T cell exhaustion through metabolic reprogramming of amino acid utilization. HHLA2-KIR3DL3 signaling suppresses glutamine utilization through ERK/MAPK-dependent repression of SLC1A5, SLC38A2, and ADHFE1, key glutamine transporters and metabolic enzymes, thereby inducing metabolic insufficiency and dysfunctional cytokine production in CD8 T cells, including reduced IFN-γ, TNF-α, and increased IL-10. Disruption of this axis-via HHLA2 deletion or antibody blockade-restored T cell metabolism and effector function, leading to attenuated tumor progression in humanized mouse models. Notably, HHLA2/KIR3DL3 inhibition synergized with EGFR tyrosine kinase inhibitors to enhance anti-tumor immunity and suppress tumor progression. Together, these findings identify HHLA2-KIR3DL3 as a key immunosuppressive pathway in EGFR-mutant NSCLC and may provide a rationale for therapeutic targeting to improve clinical outcomes. - Source: PubMed
Publication date: 2025/12/12
Wu FeiShen JiannanZhao ZhitingChen YanRen BinhuiLi MingYin RongZhang YanyanYu Shaorong - The processes of absorption, distribution, metabolic action, and elimination (ADME) affect the advancement of cancer and the development of resistance to therapies. This study examined ADME-related genes in breast cancer (BRCA) mechanisms and their associations with BRCA. - Source: PubMed
Publication date: 2025/11/07
Yang YangYan LeiFeng YangLiu YulingShi GuangminHao Jiqing - The impact of the pandemic of SARS-CoV-2 infections in the population has caused many diseases onset, post the recovery. The most common is Cardiac injury, which causes further complications that lead to cardiovascular diseases (CVD). This study aimed to analyse the hub genes with a high correlation between SARS-CoV-2 and cardiovascular diseases.The datasets were obtained from the already available GSE196822, GSE196656, and GSE169241 data sets. DESec 2 in R was used for differentially expressed genes, and enriched pathway analysis was performed. Further, Cytoscape used the protein-protein interactions by STRING and hub genes for the common DEGs.The transcriptome analysis of GSE196822 revealed that 7,376 upregulated and 3,673 downregulated genes were the differentially expressed genes (DEGs) among the three selected datasets. Combining the overlap of these data sets for the common genes involved in COVID-19 and CVD, 169 upregulated and 123 downregulated DEGs were observed. These DEGs are further examined with GO (Gene Ontology) and KEGG (Kyoto Encyclopedia of Genes and Genomes). The KEGG pathway revealed 21 upregulated and 11 downregulated pathways, where the highest count was recorded in transcriptional misregulations in cancer and metabolic pathways, respectively. The top 10 hub genes analysis and PPI network analysis revealed their interlinings for upregulation and downregulations, respectively. The top three upregulated genes (TIMP1, MPO, NFKBIA) and downregulated genes (ACSS1, OXCT1, ADHFE1) identified by differential expression analysis were validated by qRT-PCR, confirming their significant and consistent expression changes under the experimental conditions.The 9 out of 10 hub genes with elevated co-expressibility of linked genes between COVID-19 and CVD showed complications consistent with previous reports. Our findings further suggest that these hub genes may serve dual purposes: as indicators of early viral infection, including COVID-19 and related viral illnesses, and as potential predictors of cardiovascular disease (CVD) onset following COVID-19 infection. This work strongly urges health policymakers to implement screening for COVID-19 complications, especially CVDs, in the general public. - Source: PubMed
Publication date: 2025/09/23
Koyou Haily LiduinRamachandran VasudevanSalleh Mohd Nazil