Zimmerer Jason M, Lesinski Gregory B, Radmacher Michael D, Ruppert Amy, Carson William E
Integrated Biological Sciences Graduate Program, The Ohio State University Comprehensive Cancer Center, Columbus, OH 43210, USA.
Cancer Immunol Immunother. 2007 Nov;56(11):1845-52. doi: 10.1007/s00262-007-0329-9. Epub 2007 May 15.
The precise molecular targets of interferon-alpha (IFN-alpha) therapy of melanoma are unknown but likely involve signal transducer and activator of transcription 1 (STAT1) signal transduction within host immune effector cells. We hypothesized that microarray analysis could be utilized to identify candidate molecular targets important for mediating the anti-tumor effect of exogenously administered IFN-alpha.
To identify the STAT1-dependent genes regulated by IFN-alpha, the gene expression profile of splenocytes from wild type (WT) and STAT1(-/-) mice was characterized.
This analysis identified 30 genes that required STAT1 signal transduction for optimal expression in response to IFN-alpha (p < 0.001). These genes include granzyme b (Gzmb), interferon regulatory factor 7 (Irf7), Fas death domain-associated protein (Daxx), and lymphocyte antigen 6 complex, locus C (Ly6c). The expression of 20 genes was found to be suppressed in the presence of STAT1 including chemokine ligand 2 (Ccl2), Ccl5, and Ccl7. Nineteen genes were significantly upregulated in murine splenocytes following treatment with IFN-alpha regardless of the presence of STAT1 including CD86, lymphocyte antigen 6 complex, locus A (Ly6a), and Tap binding protein (Tapbp). The expression of representative IFN-responsive genes was confirmed at the transcriptional level by Real Time PCR.
This report is the first to demonstrate that STAT1-mediated signal transduction plays a major role in the transcriptional response of murine immune cells to IFNalpha.
干扰素-α(IFN-α)治疗黑色素瘤的确切分子靶点尚不清楚,但可能涉及宿主免疫效应细胞内的信号转导和转录激活因子1(STAT1)信号转导。我们推测,微阵列分析可用于识别对外源性给予的IFN-α介导的抗肿瘤作用重要的候选分子靶点。
为了鉴定受IFN-α调节的STAT1依赖性基因,对野生型(WT)和STAT1(-/-)小鼠脾细胞的基因表达谱进行了表征。
该分析确定了30个基因,这些基因需要STAT1信号转导才能在对IFN-α的反应中实现最佳表达(p < 0.001)。这些基因包括颗粒酶b(Gzmb)、干扰素调节因子7(Irf7)、Fas死亡结构域相关蛋白(Daxx)和淋巴细胞抗原6复合体,位点C(Ly6c)。发现在存在STAT1的情况下,20个基因的表达受到抑制,包括趋化因子配体2(Ccl2)、Ccl5和Ccl7。无论是否存在STAT1,在用IFN-α处理后的小鼠脾细胞中,19个基因均显著上调,包括CD86、淋巴细胞抗原6复合体,位点A(Ly6a)和Tap结合蛋白(Tapbp)。通过实时PCR在转录水平证实了代表性IFN反应基因的表达。
本报告首次证明STAT1介导的信号转导在小鼠免疫细胞对IFNα的转录反应中起主要作用。