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宿主来源
Mouse抗原名称
CD64分子别名
High affinity immunoglobulin gamma Fc receptor I; IgG Fc receptor I; Fc-gamma RI (FcRI); Fc-gamma RIA (FcgammaRIa); FCGR1A; FCG1; FCGR1; IGFR1细胞定位
Cell membraneAccession
P12314克隆号
S-R482抗体类型
Mouse mAb抗体同种型
IgG1,k应用
FCM反应种属 ?
Hu阳性样本
Human PBMC纯化方式
Protein G浓度
0.02mg/ml标记
Alexa Fluor® 700性状
Liquid缓冲体系
PBS, 25% Glycerol, 1% BSA, 0.3% Proclin 300储存条件
12 months from date of receipt / reconstitution, 2 to 8 °C as supplied.
应用 | 稀释度 | 推荐种属 |
---|---|---|
FCM | 5 μl per million cells in 100μl volume | Hu |
CD64 is part of the immunoglobulin superfamily and plays a pivotal role in connecting humoral and cellular immunity. The extracellular domain of CD64 contains three immunoglobulin-like domains that readily bind to monomeric IgG. It has a higher affinity for IgG compared to CD32 (FcγRII) and CD16 (FcγRIII), and it shows different binding strengths to various IgG subclasses, with the order of affinity being IgG1/IgG3 > IgG4 > IgG2. CD64 is regulated by cytokines and is involved in the clearance of pathogens through antibody-dependent cellular cytotoxicity, phagocytosis, and immune complex removal. In the context of infectious diseases, CD64 has demonstrated high sensitivity and specificity in diagnosing such conditions compared to other markers like white blood cell count, C-reactive protein (CRP), and procalcitonin (PCT). It can be particularly useful in diagnosing bacterial infections, with sensitivity and specificity rates exceeding 90%. Moreover, the CD64 index has been found to correlate with the severity of sepsis and organ failure, making it a potential early predictor of mortality in sepsis patients.
流式分析
Multiparameter flow cytometric analysis of Human CD64 expression on human peripheral blood mononuclear cell populations. Human peripheral blood mononuclear cells were stained with Brilliant Violet 510™ Mouse Anti-Human CD14 antibody and either Alexa Fluor® 700 Mouse IgG1, κ Isotype Control (Left panel) or SDT Alexa Fluor® 700 Mouse Anti- Human CD64 antibody (Right panel) at 0.1 μg/test. Flow cytometry and data analysis were performed using BD FACSymphony™ A1 and FlowJo™ software.
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