Anti-Human CD116 PE 25 tests
- Known as:
- Antibody toHuman CD116 PE 25 tests
- Catalog number:
- 12-1169-41
- Category:
- -
- Supplier:
- eBioscience
- Gene target:
- Anti-Human CD116 25 tests
Related genes to: Anti-Human CD116 PE 25 tests
- Gene:
- CSF2RA NIH gene
- Name:
- colony stimulating factor 2 receptor alpha subunit
- Previous symbol:
- CSF2R
- Synonyms:
- CD116, alphaGMR
- Chromosome:
- Xp22.32 and Yp11.3
- Locus Type:
- gene with protein product
- Date approved:
- 1990-07-03
- Date modifiied:
- 2019-04-23
Related products to: Anti-Human CD116 PE 25 tests
Related articles to: Anti-Human CD116 PE 25 tests
- Pulmonary alveolar proteinosis (PAP) is a rare pulmonary syndrome characterized by impaired surfactant clearance, driven by dysfunctional cholesterol efflux in alveolar macrophages (AMs). However, the molecular determinants governing AM cholesterol homeostasis remain incompletely defined. Here, through a genome-wide CRISPR screen in foamy macrophages and bulk RNA sequencing of AMs from PAP patients, we identify DTX4 as a pivotal regulator of cholesterol efflux in AMs. In mice, AAV-mediated silencing of DTX4 led to excessive AM lipid accumulation, exacerbated proteinosis, increased lung opacities, and deteriorated pulmonary function. Similarly, DTX4 depletion in primary AMs impaired cholesterol efflux and promoted intracellular lipid deposition. Conversely, AM-specific overexpression of DTX4 in the Csf2ra-/- PAP model markedly alleviated lipid accumulation, mitigated alveolar proteinosis, restored lung densities, and rescued pulmonary function. Mechanistically, DTX4 stabilizes the GM-CSF receptor via an E3-independent interaction to sustain JAK2/STAT5 signaling, which reciprocally maintains DTX4 transcription. This positive-feedback loop drives PPARγ expression, and its disruption in PAP impairs cholesterol efflux, a defect partially reversible by ectopic PPARγ expression. Collectively, our findings identify DTX4 as a central orchestrator of AM cholesterol efflux and surfactant homeostasis, positioning it as a promising therapeutic target for PAP. - Source: PubMed
Publication date: 2026/07/22
Wang ZimuShi JingweiYe XuXia XinyeZhu HuihuiLi QiChen MinZhao YichaoZhang YingweiCao MengshuXiao YonglongHuang Xinmei - Parkinson's disease (PD) is a neurodegenerative disease marked by a progressive loss of dopaminergic neurons in the substantia nigra pars compacta (SNpc) and formation of misfolded protein aggregates. A growing body of research has implicated glial cell dysfunction in PD etiology, including the concentration of activated glial cells around protein aggregates in post-mortem tissue. A disruption in the balance of pro- and anti-inflammatory immune response functions of microglia and astrocytes is believed to contribute towards neuronal degeneration as the disease progresses. However, the molecular mechanisms remain unclear. To shed light on the role of microglia and astrocytes in PD, this study analyzes three public single nuclear RNA sequencing datasets of the SNpc from patient and control post-mortem brains to identify altered molecular pathways in PD. - Source: PubMed
Publication date: 2026/07/04
Roy IndraFiorini MichaelThomas Rhalena AAmbriz Georgina JimenezFarhan SaliPiscopo Valerio E CDurcan Thomas M - Depletion of CD4 cells during an anti-tumor immune response promotes tumor regression and accelerates proliferation of tumor-antigen-specific CD8 T cells in draining lymph nodes (dLNs). However, the effect of the depletion on inter-organ kinetics of antigen presentation and qualitative changes in dendritic cells (DCs) are not yet understood. Here, we established a novel approach for simultaneous detection of cellular movement and cell cycle phase by KikGR/Fucci mice and used it to examine migratory and LN resident DC (LNDC) dynamics after CD4 cell depletion. We found that CD4 cell depletion enhanced migration of CD11c MHC class II migratory DCs from tumor to dLNs and induced activation-associated phenotypic changes, such as increased MHC class II expression. Despite reduced overall cellularity in tumor dLNs, LNDC numbers were relatively maintained. Within the LNDC compartment, CD4 depletion increased the relative abundance of a CD8αCD11b subset and promoted influx and cell-cycle activity among newly recruited LNDCs. Publicly available single-cell RNA sequencing data further delineated ligand-receptor expression relationships, including and axes, within tumor dLNs. These findings reveal remodeling of DC migration, activation, and LNDC turnover within tumor dLNs in the context of CD4 cell depletion, which enhanced anti-tumor immunity. - Source: PubMed
Publication date: 2026/06/10
Moriya TaikiHashimoto MayukoUeda MizukiAoyagi TatsuyaKawaguchi AyakoTakahashi KentaroTsukasa KobayashiDoi KazukiHemmi HiroakiKaisho TsuneyasuUeha SatoshiMatsushima KojiKusumoto YutakaChtanova TatyanaTomura Michio - Sepsis, a life-threatening dysregulated host response to infection, involves complex cytokine signaling. Comprehensive bioinformatics analysis of cytokine activity, associated pathways, and immune alterations in sepsis is warranted. Using the sepsis dataset GSE26378 from GEO, we analyzed differential cytokine pathway activity with ssGSEA and identified differentially expressed genes (DEGs). Cytokine-related genes (CRGs) were extracted and overlapped with DEGs. Protein-Protein Interaction (PPI) network analysis and functional enrichment were performed on differentially expressed CRGs. Cytokine activity scores and pathway activities were quantified using Gene Set Variation Analysis (GSVA). Immune cell infiltration was assessed with MCP-counter. Machine learning algorithms (Random Forest, LASSO, SVM) identified diagnostic biomarkers, validated using an independent dataset (GSE26440) and ROC analysis. Cytokine/cytokine receptor pathways were significantly upregulated in sepsis. We identified 617 DEGs and 46 differentially expressed CRGs. Cytokine activity scores were significantly elevated in sepsis and strongly correlated with heightened activity in inflammatory pathways (e.g. TLR, IL-1R, NF-κB, JAK/STAT, hypoxia) and metabolic pathways (e.g. glycolysis, PI3K/AKT/mTOR). Immune analysis showed decreased T cells, NK cells, B cells, and cytotoxic lymphocytes, alongside increased neutrophils and endothelial cells; neutrophil infiltration positively correlated with cytokine scores. Machine learning identified four core genes (C3AR1, XCL1, CSF2RA, IL2RB), consistently dysregulated in sepsis across datasets and demonstrating robust diagnostic accuracy. This integrated bioinformatics study indicates heightened cytokine activity, profound alterations in inflammatory and metabolic pathways, and a dysregulated immune cell landscape in sepsis. The identified hub genes and the four-gene biomarker panel show potential as diagnostic tools, offering insights into sepsis pathophysiology. Insight box This study integrates multi-omics bioinformatics (ssGSEA, GSVA, PPI, immune deconvolution) and machine learning (RF, LASSO, SVM) to dissect sepsis pathophysiology. Innovatively, we quantify cytokine pathway hyperactivity, linking it to inflammatory/metabolic dysregulation (TLR, NF-κB, glycolysis) and immune imbalance. A novel four-gene panel (C3AR1, XCL1, CSF2RA, IL2RB) was identified and validated as a robust diagnostic biomarker, bridging cytokine signaling with clinical utility. The findings provide mechanistic insights into sepsis-driven immune-metabolic crosstalk and offer translational potential for early diagnosis and targeted therapy. - Source: PubMed
Jiang WeiliRong JianningHan WenwenFang Jianjiang - Inflammatory monocyte (MC) subset polarization is a hallmark of systemic and tissue inflammatory feature in diabetes. The underlying molecular mechanism remains unclear. - Source: PubMed
Publication date: 2026/05/08
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