Research Group Modeling of Biological Systems, German Cancer Research Center, Heidelberg, Germany.
Mol Syst Biol. 2010 Apr 13;6:359. doi: 10.1038/msb.2010.13.
Although cell-to-cell variability has been recognized as an unavoidable consequence of stochasticity in gene expression, it may also serve a functional role for tuning physiological responses within a cell population. In the immune system, remarkably large variability in the expression of cytokine genes has been observed in homogeneous populations of lymphocytes, but the underlying molecular mechanisms are incompletely understood. Here, we study the interleukin-4 gene (il4) in T-helper lymphocytes, combining mathematical modeling with the experimental quantification of expression variability and critical parameters. We show that a stochastic rate-limiting step upstream of transcription initiation, but acting at the level of an individual allele, controls il4 expression. Only a fraction of cells reaches an active, transcription-competent state in the transient time window determined by antigen stimulation. We support this finding by experimental evidence of a previously unknown short-term memory that was predicted by the model to arise from the long lifetime of the active state. Our analysis shows how a stochastic mechanism acting at the chromatin level can be integrated with transcriptional regulation to quantitatively control cell-to-cell variability.
尽管细胞间的变异性已被认为是基因表达随机性不可避免的结果,但它也可能在细胞群体中调节生理反应方面发挥功能作用。在免疫系统中,在同质的淋巴细胞群体中观察到细胞因子基因表达的显著变异性,但潜在的分子机制尚不完全清楚。在这里,我们研究了 T 辅助淋巴细胞中的白细胞介素 4 基因 (il4),将数学建模与表达变异性和关键参数的实验定量相结合。我们表明,转录起始上游的随机限速步骤,但作用于单个等位基因水平,控制 il4 的表达。只有一部分细胞在由抗原刺激决定的短暂时间窗口内达到活跃的、转录活性状态。我们通过实验证据支持这一发现,该证据证明了一种以前未知的短期记忆,该记忆是由模型预测的活跃状态的长寿命引起的。我们的分析表明,在染色质水平上起作用的随机机制如何与转录调控相结合,从而对细胞间变异性进行定量控制。