Vijg Jan, Busuttil Rita A, Bahar Rumana, Dollé Martijn E T
University of Texas Health Science Center, STCBM, 15355 Lambda Drive, Suite 2.200, San Antonio, TX 78245, USA.
Ann N Y Acad Sci. 2005 Dec;1055:35-47. doi: 10.1196/annals.1323.007.
Genomic instability in somatic cells has been implicated as a major stochastic mechanism of aging. Using a transgenic mouse model with chromosomally integrated lacZ mutational target genes, we found mutations to accumulate with age at an organ- and tissue-specific rate. Also the spectrum of age-accumulated mutations was found to differ greatly from organ to organ; while initially similar, mutation spectra of different tissues diverged significantly over the lifetime. To explain how genomic instability, which is inherently stochastic, can be a causal factor in aging, it is proposed that randomly induced mutations may adversely affect normal patterns of gene regulation, resulting in a mosaic of cells at various stages on a trajectory of degeneration, eventually resulting in cell death or neoplastic transformation. To directly address this question we demonstrate that it is now possible to analyze single cells, isolated from old and young tissues, for specific alterations in gene expression.
体细胞中的基因组不稳定性被认为是衰老的一种主要随机机制。利用一种带有染色体整合型lacZ突变靶基因的转基因小鼠模型,我们发现突变会随着年龄增长以器官和组织特异性的速率累积。此外,还发现不同器官中随年龄累积的突变谱差异很大;虽然最初相似,但不同组织的突变谱在整个生命周期中显著分化。为了解释本质上具有随机性的基因组不稳定性如何能够成为衰老的一个因果因素,有人提出随机诱导的突变可能会对正常的基因调控模式产生不利影响,导致细胞在退化轨迹上处于不同阶段,最终导致细胞死亡或肿瘤转化。为了直接解决这个问题,我们证明现在有可能分析从老年和年轻组织中分离出的单个细胞,以检测基因表达的特定变化。