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RAW 264.7巨噬细胞中Fcγ受体刺激肿瘤坏死因子-α分泌及呼吸爆发的信号通路

Signaling pathways for Fc gamma receptor-stimulated tumor necrosis factor-alpha secretion and respiratory burst in RAW 264.7 macrophages.

作者信息

Loegering Daniel J, Lennartz Michelle R

机构信息

Center for Cardiovascular Sciences, Albany Medical College, Albany, New York 12208, USA.

出版信息

Inflammation. 2004 Feb;28(1):23-31. doi: 10.1023/b:ifla.0000014708.87440.45.

Abstract

Fc gamma receptor (Fc gammaR) signaling mediates several important macrophage functions including cytokine secretion and respiratory burst. The present study describes the development of a model using the macrophage cell line, RAW 264.7 for studying Fc gammaR-stimulated tumor necrosis factor-alpha (TNF-alpha) secretion and hydrogen peroxide (H2O2) production. In unprimed cells these functions were low but pretreatment with interferon-gamma augmented Fc gammaR-stimulated TNF-alpha secretion and H2O2 production to levels that were about half that caused by lipopolysaccharide (LPS) and zymosan, respectively. Studies on the signaling pathways found that TNF-alpha secretion stimulated by either Fc gammaR or LPS was decreased by inhibitors of PKC, MAPK p42/p44, and MAPK p38. TNF-alpha secretion was also reduced by the combination of PLC and PLD inhibitors but not by the individual inhibitors alone. H2O2 production stimulated by either Fc gammaR or zymosan was blocked by inhibitors of PKC, PLC, PLD, and MAPK p42/44 but not by MAPK p38. Thus, interferon-gamma treated RAW 264.7 cells are a model of inflammatory macrophages and are well suited for further study of these signaling pathways.

摘要

Fcγ受体(FcγR)信号传导介导多种重要的巨噬细胞功能,包括细胞因子分泌和呼吸爆发。本研究描述了一种使用巨噬细胞系RAW 264.7建立的模型,用于研究FcγR刺激的肿瘤坏死因子-α(TNF-α)分泌和过氧化氢(H2O2)生成。在未致敏的细胞中,这些功能较低,但用γ干扰素预处理可增强FcγR刺激的TNF-α分泌和H2O2生成,使其分别达到脂多糖(LPS)和酵母聚糖所引起水平的约一半。对信号通路的研究发现,PKC抑制剂、丝裂原活化蛋白激酶(MAPK)p42/p44抑制剂和MAPK p38抑制剂可降低FcγR或LPS刺激的TNF-α分泌。PLC和PLD抑制剂联合使用也可降低TNF-α分泌,但单独使用单个抑制剂则无此作用。PKC抑制剂、PLC抑制剂、PLD抑制剂和MAPK p42/44抑制剂可阻断FcγR或酵母聚糖刺激的H2O2生成,但MAPK p38抑制剂无此作用。因此,γ干扰素处理的RAW 264.7细胞是炎性巨噬细胞的一种模型,非常适合进一步研究这些信号通路。

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