ARGI1_MOUSE Arg1 ELISA tesk kit
- Known as:
- ARGI1_MOUSE Arg1 Enzyme-linked immunosorbent assay test tesk reagent
- Catalog number:
- gen15017
- Product Quantity:
- 1
- Category:
- Peptides
- Supplier:
- Other suppliers
- Gene target:
- ARGI1_MOUSE Arg1 ELISA tesk kit
Related genes to: ARGI1_MOUSE Arg1 ELISA tesk kit
- Gene:
- ARG1 NIH gene
- Name:
- arginase 1
- Previous symbol:
- -
- Synonyms:
- -
- Chromosome:
- 6q23.2
- Locus Type:
- gene with protein product
- Date approved:
- 2001-06-22
- Date modifiied:
- 2016-10-05
Related products to: ARGI1_MOUSE Arg1 ELISA tesk kit
Related articles to: ARGI1_MOUSE Arg1 ELISA tesk kit
- To investigate the role of lactate in myocardial ischemia-reperfusion (MIR)-induced gastric mucosal injury. - Source: PubMed
Yang YunhengJia YaqingYin GaoshengLi ShuangxiuYang Ping - To observe the effect of electroacupuncture on mice with acute gastric mucosal injury (AGMI) by regulating macrophage polarization through the cyclic guanosine monophosphate-adenosine synthase (cGAS)-stimulator of interferon genes (STING) signaling pathway. - Source: PubMed
Xu Yuan-BoWang Jing-JiGao Qiu-JinXu Xin-YueHe Ruo-NanYang Jun - Hookworms migrate through the lung as part of their lifecycle, causing significant tissue damage that activates tissue-resident populations such as ILC2s. These drive type 2 immune responses critical for wound healing and the development of protective immunity. Monocyte-derived macrophages that seed the lung after infection are central effectors of these responses, but the cellular and molecular factors guiding their development and function remain poorly understood. We find that ILC2s and IL-4/IL-13-producing CD4 T cells regulate alveolar macrophage populations during helminth infection. In their absence, anti-parasitic immunity is impaired during secondary infection and the expansion of type 2-polarized monocyte-derived alveolar macrophages (Mo-AMs) is diminished. While Mo-AMs highly expressed Arg1, this was not essential for development of immunity. Concomitant with a distinct metabolic and transcriptional profile, ILC2-induced Mo-AMs selectively upregulated arachidonate 15-lipoxygenase which promoted anti-parasitic responses in vitro. Our results identify ILC2s and Th2 cells as critical regulators of alveolar macrophage dynamics and function during helminth infection. - Source: PubMed
Publication date: 2026/06/24
Pollock JonathanPatel Jhanvi HGraf Lisa-MarieRuhl AndreasRadtke DanielVoehringer David - Severe steroid-resistant asthma (SSRA) is characterized by persistent neutrophilic airway inflammation and limited glucocorticoid efficacy. Dysregulated macrophage polarization toward the pro-inflammatory M1 phenotype contributes to SSRA pathogenesis. The voltage-gated potassium channel Kv1.3 regulates immune cell activation, but its role in asthma-related macrophage polarization remains unclear. - Source: PubMed
Publication date: 2026/06/24
Sun BingqingWang ZizhongLi YuanLiu YechengLian HuiChen RuxuanHuang HuiLin JiangtaoNi Xuefeng - Rheumatoid arthritis (RA) is a chronic autoimmune disease characterized by synovial inflammation and joint destruction. Metabolic reprogramming and immune dysregulation are increasingly recognized as pivotal contributors to RA pathogenesis. However, a comprehensive understanding of metabolism-related genes that act as key regulators of RA progression and their impact on the immune microenvironment is lacking. We obtained RA mRNA expression profiles and single-cell RNA sequencing (scRNA-seq) data from the Gene Expression Omnibus. Weighted Gene Co-expression Network Analysis identified RA-associated gene modules, followed by functional enrichment (Gene Ontology, Kyoto Encyclopedia of Genes and Genomes, and Gene Set Enrichment Analysis) and Gene Set Variation Analysis. Four machine learning algorithms (Least Absolute Shrinkage and Selection Operator, Random Forest, Support Vector Machine-Recursive Feature Elimination, and Boruta) were applied to select diagnostic biomarkers. Model performance was validated using Receiver Operating Characteristic curves. Immune infiltration was assessed via CIBERSORT and Single-sample Gene Set Enrichment Analysis. Consensus clustering identified RA subtypes, and scRNA-seq data were analyzed using CellChat to characterize cellular profiles and intercellular interactions. Four robust metabolism-related biomarkers, ACSL4, ARG1, GALNT4, and ST3GAL6, were identified and validated across datasets, demonstrating strong diagnostic performance. The model stratified RA patients into two subtypes with distinct immune infiltration patterns. Single-cell analysis revealed increased CD4 T cells and B cells proportions in RA, with enhanced migration inhibitory factor (MIF) signaling and upregulated metabolic pathways. Regulatory networks (Competing Endogenous RNA, Transcription Factor) and single-gene GSEA highlighted the roles of hub genes in immune and metabolic processes. This study provides a comprehensive analysis of metabolism-related genes in RA, identifying four diagnostic biomarkers. The integration of single-cell transcriptomics offers novel insights into RA pathogenesis and suggests potential biomarkers and therapeutic targets for precision medicine. - Source: PubMed
Publication date: 2026/06/24
Fang ChangfengXu HengwuWu YifanZeng PingkaiLu YuqiYe Zhijian