Biasiolo Marta, Forcato Mattia, Possamai Lino, Ferrari Francesco, Agnelli Luca, Lionetti Marta, Todoerti Katia, Neri Antonino, Marchiori Massimo, Bortoluzzi Stefania, Bicciato Silvio
Dipartimento di Biologia, Università di Padova, via U. Bassi 58/ B, 35121, Padova, Italy.
Pac Symp Biocomput. 2010:397-408. doi: 10.1142/9789814295291_0042.
Network analysis has emerged as a powerful approach to understand complex phenomena and organization in social, technological and biological systems. In particular, it is increasingly recognized the role played by the topology of cellular networks, the intricate web of interactions among genes, proteins and other molecules regulating cell activity, in unveiling the biological mechanisms underlying the physiological states of living organisms. In this study, critical analysis of network components has been applied to inspect the transcriptional and post-transcriptional regulatory networks reconstructed from mRNA and microRNA expression data of multiple myeloma (MM) samples. Specifically, the importance of a gene as a putative regulatory element has been assessed calculating the drop in the network performance caused by its deactivation instead of quantifying its degree of connectivity. The application of critical analysis to transcriptional and post-transcriptional regulatory networks allowed inferring novel regulatory relations potentially functional in multiple myeloma.
网络分析已成为理解社会、技术和生物系统中复杂现象及组织的一种强大方法。特别是，细胞网络的拓扑结构（调节细胞活动的基因、蛋白质和其他分子之间错综复杂的相互作用网络）在揭示生物体生理状态背后的生物学机制中所起的作用越来越受到认可。在本研究中，已应用对网络组件的关键分析来检查从多发性骨髓瘤（MM）样本的mRNA和microRNA表达数据重建的转录和转录后调控网络。具体而言，通过计算因基因失活导致的网络性能下降来评估基因作为假定调控元件的重要性，而不是量化其连接度。对转录和转录后调控网络进行关键分析，有助于推断在多发性骨髓瘤中可能具有功能的新型调控关系。
