Joint Center for Systems Biology, Columbia University, New York, NY 10032, USA.
Proc Natl Acad Sci U S A. 2012 Feb 14;109(7):2672-7. doi: 10.1073/pnas.1113019109. Epub 2012 Jan 30.
Mature B-cell exit from germinal centers is controlled by a transcriptional regulatory module that integrates antigen and T-cell signals and, ultimately, leads to terminal differentiation into memory B cells or plasma cells. Despite a compact structure, the module dynamics are highly complex because of the presence of several feedback loops and self-regulatory interactions, and understanding its dysregulation, frequently associated with lymphomagenesis, requires robust dynamical modeling techniques. We present a quantitative kinetic model of three key gene regulators, BCL6, IRF4, and BLIMP, and use gene expression profile data from mature human B cells to determine appropriate model parameters. The model predicts the existence of two different hysteresis cycles that direct B cells through an irreversible transition toward a differentiated cellular state. By synthetically perturbing the interactions in this network, we can elucidate known mechanisms of lymphomagenesis and suggest candidate tumorigenic alterations, indicating that the model is a valuable quantitative tool to simulate B-cell exit from the germinal center under a variety of physiological and pathological conditions.
成熟 B 细胞从生发中心的退出受转录调控模块的控制,该模块整合抗原和 T 细胞信号,并最终导致终末分化为记忆 B 细胞或浆细胞。尽管结构紧凑,但由于存在多个反馈回路和自我调节相互作用,模块动力学非常复杂,理解其失调(常与淋巴瘤发生有关)需要强大的动态建模技术。我们提出了三个关键基因调节剂(BCL6、IRF4 和 BLIMP)的定量动力学模型,并使用成熟人 B 细胞的基因表达谱数据来确定合适的模型参数。该模型预测存在两个不同的滞后循环,可指导 B 细胞不可逆地向分化细胞状态转变。通过对该网络中的相互作用进行合成扰动,我们可以阐明淋巴瘤发生的已知机制,并提出候选的致瘤性改变,表明该模型是一种有价值的定量工具,可模拟各种生理和病理条件下生发中心的 B 细胞退出。