INRIA Paris-Rocquencourt, Le Chesnay, France.
PLoS Comput Biol. 2013;9(5):e1003056. doi: 10.1371/journal.pcbi.1003056. Epub 2013 May 9.
Extrinsic apoptosis is a programmed cell death triggered by external ligands, such as the TNF-related apoptosis inducing ligand (TRAIL). Depending on the cell line, the specific molecular mechanisms leading to cell death may significantly differ. Precise characterization of these differences is crucial for understanding and exploiting extrinsic apoptosis. Cells show distinct behaviors on several aspects of apoptosis, including (i) the relative order of caspases activation, (ii) the necessity of mitochondria outer membrane permeabilization (MOMP) for effector caspase activation, and (iii) the survival of cell lines overexpressing Bcl2. These differences are attributed to the activation of one of two pathways, leading to classification of cell lines into two groups: type I and type II. In this work we challenge this type I/type II cell line classification. We encode the three aforementioned distinguishing behaviors in a formal language, called signal temporal logic (STL), and use it to extensively test the validity of a previously-proposed model of TRAIL-induced apoptosis with respect to experimental observations made on different cell lines. After having solved a few inconsistencies using STL-guided parameter search, we show that these three criteria do not define consistent cell line classifications in type I or type II, and suggest mutants that are predicted to exhibit ambivalent behaviors. In particular, this finding sheds light on the role of a feedback loop between caspases, and reconciliates two apparently-conflicting views regarding the importance of either upstream or downstream processes for cell-type determination. More generally, our work suggests that these three distinguishing behaviors should be merely considered as type I/II features rather than cell-type defining criteria. On the methodological side, this work illustrates the biological relevance of STL-diagrams, STL population data, and STL-guided parameter search implemented in the tool Breach. Such tools are well-adapted to the ever-increasing availability of heterogeneous knowledge on complex signal transduction pathways.
细胞外凋亡是一种由外部配体(如 TNF 相关凋亡诱导配体(TRAIL))触发的程序性细胞死亡。根据细胞系的不同,导致细胞死亡的具体分子机制可能会有很大的不同。精确描述这些差异对于理解和利用细胞外凋亡至关重要。细胞在凋亡的几个方面表现出不同的行为,包括(i)半胱天冬酶激活的相对顺序,(ii)效应半胱天冬酶激活所需的线粒体外膜通透性(MOMP),以及(iii)过表达 Bcl2 的细胞系的存活。这些差异归因于两条途径中的一条途径的激活,从而将细胞系分为两类:I 型和 II 型。在这项工作中,我们对这种 I/II 型细胞系分类提出了挑战。我们将上述三种区分行为编码到一种称为信号时态逻辑(STL)的形式语言中,并使用它来广泛测试先前提出的 TRAIL 诱导凋亡模型相对于不同细胞系上的实验观察的有效性。在用 STL 引导的参数搜索解决了几个不一致性之后,我们表明这三个标准不能在 I 型或 II 型中定义一致的细胞系分类,并且提出了预测表现出矛盾行为的突变体。特别是,这一发现揭示了半胱天冬酶之间反馈循环的作用,并调和了两种关于上游或下游过程对细胞类型决定的重要性的明显冲突观点。更一般地说,我们的工作表明,这三种区分行为应该仅仅被视为 I/II 特征,而不是细胞类型定义的标准。在方法学方面,这项工作说明了 STL 图、STL 群体数据和在工具 Breach 中实现的 STL 引导参数搜索的生物学相关性。这些工具非常适合于越来越多的关于复杂信号转导途径的异质知识的可用性。