Department of Computer Science and Engineering, Instituto Superior Técnico (IST), Universidade de Lisboa, Lisbon, Portugal.
Instituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento (INESC-ID), Lisbon, Portugal.
Sci Rep. 2020 Oct 20;10(1):17744. doi: 10.1038/s41598-020-74043-7.
The capacity of living cells to adapt to different environmental, sometimes adverse, conditions is achieved through differential gene expression, which in turn is controlled by a highly complex transcriptional network. We recovered the full network of transcriptional regulatory associations currently known for Saccharomyces cerevisiae, as gathered in the latest release of the YEASTRACT database. We assessed topological features of this network filtered by the kind of supporting evidence and of previously published networks. It appears that in-degree distribution, as well as motif enrichment evolve as the yeast transcriptional network is being completed. Overall, our analyses challenged some results previously published and confirmed others. These analyses further pointed towards the paucity of experimental evidence to support theories and, more generally, towards the partial knowledge of the complete network.
活细胞适应不同环境(有时是不利环境)的能力是通过差异基因表达实现的,而差异基因表达又受高度复杂的转录网络控制。我们恢复了目前在酿酒酵母中已知的全部转录调控关联网络,这些关联是从 YEASTRACT 数据库的最新版本中收集的。我们根据支持证据的类型和以前发表的网络对该网络的拓扑特征进行了筛选评估。似乎在酵母转录网络完成时,输入度分布以及基序富集都会发生演变。总的来说,我们的分析对以前发表的一些结果提出了挑战,同时也证实了其他一些结果。这些分析进一步指出,支持理论的实验证据不足,更广泛地说,对完整网络的了解也不完整。