Department of Biochemistry, College of Life Science and Biotechnology, World Class University, Yonsei University, Seoul 120-749, Korea.
Mol Cells. 2013 Jun;35(6):498-513. doi: 10.1007/s10059-013-2349-y. Epub 2013 May 10.
Lipopolysaccharide (LPS), the major causative agent of bacterial sepsis, has been used by many laboratories in genome-wide expression profiling of the LPS response. However, these studies have predominantly used in vitro cultured macrophages (Macs), which may not accurately reflect the LPS response of these innate immune cells in vivo. To overcome this limitation and to identify inflammatory genes in vivo, we have profiled genome-wide expression patterns in non-lymphoid, splenic myeloid cells extracted directly from LPS-treated mice. Genes encoding factors known to be involved in mediating or regulating inflammatory processes, such as cytokines and chemokines, as well as many genes whose immunological functions are not well known, were strongly induced by LPS after 3 h or 8 h of treatment. Most of the highly LPS-responsive genes that we randomly selected from the microarray data were independently confirmed by quantitative RT-PCR, implying that our microarray data are quite reliable. When our in vivo data were compared to previously reported microarray data for in vitro LPS-treated Macs, a significant proportion (∼20%) of the in vivo LPS-responsive genes defined in this study were specific to cells exposed to LPS in vivo, but a larger proportion of them (∼60%) were influenced by LPS in both in vitro and in vivo settings. This result indicates that our in vivo LPS-responsive gene set includes not only previously identified in vitro LPS-responsive genes but also novel LPS-responsive genes. Both types of genes would be a valuable resource in the future for understanding inflammatory responses in vivo.
脂多糖(LPS)是细菌败血症的主要致病因子,许多实验室都将其用于 LPS 反应的全基因组表达谱分析。然而,这些研究主要使用体外培养的巨噬细胞(Macs),这可能无法准确反映这些固有免疫细胞在体内的 LPS 反应。为了克服这一限制并鉴定体内的炎症基因,我们直接从 LPS 处理的小鼠中提取非淋巴样、脾髓样细胞,对其进行了全基因组表达谱分析。编码已知参与炎症过程中介或调节的因子(如细胞因子和趋化因子)的基因,以及许多免疫功能尚不清楚的基因,在 LPS 处理 3 小时或 8 小时后被强烈诱导。我们从微阵列数据中随机选择的大多数高度 LPS 反应基因,通过定量 RT-PCR 得到了独立的验证,这表明我们的微阵列数据非常可靠。当我们将体内数据与之前报道的体外 LPS 处理 Macs 的微阵列数据进行比较时,研究中定义的体内 LPS 反应基因的很大一部分(约 20%)是专门针对体内暴露于 LPS 的细胞的,但更大比例(约 60%)受到 LPS 在体外和体内环境的影响。这一结果表明,我们的体内 LPS 反应基因集不仅包括之前鉴定的体外 LPS 反应基因,还包括新的 LPS 反应基因。这两种类型的基因在未来理解体内炎症反应时将是非常有价值的资源。