Division of Rheumatology, Department of Medicine, New York University School of Medicine, New York, NY, USA.
Autoimmunity. 2011 Jun;44(4):304-14. doi: 10.3109/08916934.2010.523220. Epub 2011 Jan 27.
The relationship between biological research and mathematical modeling is complex, critical, and vital. In this review, we summarize the results of the collaboration between two laboratories, exploring the interaction between mathematical modeling and wet-lab immunology. During this collaboration several aspects of the immune defence against viral infections were investigated, focusing primarily on the subject of heterologous immunity. In this manuscript, we emphasize the topics where computational simulations were applied in conjunction with experiments, such as immune attrition, the growing and shrinking of cross-reactive T cell repertoires following repeated infections, the short and long-term effects of cross-reactive immunological memory, and the factors influencing the appearance of new clonal specificities. For each topic, we describe how the mathematical model used was adapted to answer specific biological questions, and we discuss the hypotheses that were generated by simulations. Finally, we propose rules for testing hypotheses that emerge from model experimentation in the wet lab, and vice-versa.
生物研究与数学建模之间的关系复杂、关键且至关重要。在这篇综述中,我们总结了两个实验室合作的成果,探索了数学建模与湿实验室免疫学之间的相互作用。在合作过程中,我们研究了针对病毒感染的免疫防御的几个方面,主要关注异源免疫的主题。在本文中,我们强调了计算模拟与实验相结合的主题,例如免疫耗竭、反复感染后交叉反应性 T 细胞库的增减、交叉反应性免疫记忆的短期和长期影响,以及影响新克隆特异性出现的因素。对于每个主题,我们描述了所使用的数学模型如何适应回答特定的生物学问题,并讨论了模拟产生的假设。最后,我们提出了从湿实验室的模型实验中检验假设的规则,反之亦然。