Italian National Institute of Health, Roma 00161, Italy.
IEEE Trans Biomed Eng. 2011 Oct;58(10):2943-6. doi: 10.1109/TBME.2011.2150747. Epub 2011 May 5.
The changes in between gene expression correlation structure induced in heart tissue by atrial fibrillation are studied by means of a graph theoretical approach. As expected by general statistical mechanics principles, the disease increases the general connectivity of the gene regulation network; the multiscale character of the analysis allows us to get both a general appreciation of regulation network connectivity and the sketching of a biological interpretation of the studied disease. The presence of a still largely unknown, scale invariant, global correlation field encompassing the entire genome is demonstrated as well.
通过图论方法研究了房颤引起的心脏组织中基因表达相关性结构的变化。根据一般统计力学原理，该疾病增加了基因调控网络的总体连通性；分析的多尺度特性使我们既可以全面了解调控网络的连通性，又可以对所研究疾病进行生物学解释。还证明了存在一个仍然很大程度上未知的、具有尺度不变性的、包含整个基因组的全局相关场。
