Lipniacki Tomasz, Puszynski Krzysztof, Paszek Pawel, Brasier Allan R, Kimmel Marek
Institute of Fundamental Technological Research, Swietokrzyska 21, 00-049 Warsaw, Poland.
BMC Bioinformatics. 2007 Oct 9;8:376. doi: 10.1186/1471-2105-8-376.
The NF-kappaB regulatory network controls innate immune response by transducing variety of pathogen-derived and cytokine stimuli into well defined single-cell gene regulatory events.
We analyze the network by means of the model combining a deterministic description for molecular species with large cellular concentrations with two classes of stochastic switches: cell-surface receptor activation by TNFalpha ligand, and IkappaBalpha and A20 genes activation by NF-kappaB molecules. Both stochastic switches are associated with amplification pathways capable of translating single molecular events into tens of thousands of synthesized or degraded proteins. Here, we show that at a low TNFalpha dose only a fraction of cells are activated, but in these activated cells the amplification mechanisms assure that the amplitude of NF-kappaB nuclear translocation remains above a threshold. Similarly, the lower nuclear NF-kappaB concentration only reduces the probability of gene activation, but does not reduce gene expression of those responding.
These two effects provide a particular stochastic robustness in cell regulation, allowing cells to respond differently to the same stimuli, but causing their individual responses to be unequivocal. Both effects are likely to be crucial in the early immune response: Diversity in cell responses causes that the tissue defense is harder to overcome by relatively simple programs coded in viruses and other pathogens. The more focused single-cell responses help cells to choose their individual fates such as apoptosis or proliferation. The model supports the hypothesis that binding of single TNFalpha ligands is sufficient to induce massive NF-kappaB translocation and activation of NF-kappaB dependent genes.
NF-κB调控网络通过将多种病原体衍生的和细胞因子刺激转化为明确的单细胞基因调控事件来控制先天免疫反应。
我们通过一个模型来分析该网络,该模型将对高细胞浓度分子种类的确定性描述与两类随机开关相结合:TNFα配体介导的细胞表面受体激活,以及NF-κB分子介导的IκBα和A20基因激活。这两类随机开关都与能够将单个分子事件转化为成千上万合成或降解蛋白质的放大途径相关联。在此,我们表明在低剂量TNFα作用下,只有一部分细胞被激活,但在这些被激活的细胞中,放大机制确保NF-κB核转位的幅度保持在阈值以上。同样,较低的核NF-κB浓度只会降低基因激活的概率,但不会降低有反应细胞的基因表达。
这两种效应在细胞调控中提供了一种特殊的随机稳健性,使细胞能够对相同刺激产生不同反应,但又使它们的个体反应明确无误。这两种效应在早期免疫反应中可能都至关重要:细胞反应的多样性使得病毒和其他病原体编码的相对简单程序更难克服组织防御。更具针对性的单细胞反应有助于细胞选择其个体命运,如凋亡或增殖。该模型支持这样的假设,即单个TNFα配体的结合足以诱导大量NF-κB转位和NF-κB依赖性基因的激活。