Department of Chemistry, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America.
PLoS Comput Biol. 2010 May 13;6(5):e1000785. doi: 10.1371/journal.pcbi.1000785.
With relatively low efficiency, differentiated cells can be reprogrammed to a pluripotent state by ectopic expression of a few transcription factors. An understanding of the mechanisms that underlie data emerging from such experiments can help design optimal strategies for creating pluripotent cells for patient-specific regenerative medicine. We have developed a computational model for the architecture of the epigenetic and genetic regulatory networks which describes transformations resulting from expression of reprogramming factors. Importantly, our studies identify the rare temporal pathways that result in induced pluripotent cells. Further experimental tests of predictions emerging from our model should lead to fundamental advances in our understanding of how cellular identity is maintained and transformed.
通过异位表达少数转录因子,相对低效的分化细胞可以被重编程为多能状态。对这些实验中出现的数据的潜在机制的理解,可以帮助设计用于为患者特异性再生医学创建多能细胞的最佳策略。我们已经开发了一种描述重编程因子表达导致的表观遗传和遗传调控网络结构的计算模型。重要的是,我们的研究确定了导致诱导多能细胞的罕见时间途径。进一步对我们模型中出现的预测进行实验性测试,应该会使我们对细胞身份如何维持和转变的理解取得根本性进展。