Chechik Gal, Oh Eugene, Rando Oliver, Weissman Jonathan, Regev Aviv, Koller Daphne
Department of Computer Science, Stanford University, Stanford, California 94305, USA.
Nat Biotechnol. 2008 Nov;26(11):1251-9. doi: 10.1038/nbt.1499.
Significant insight about biological networks arises from the study of network motifs--overly abundant network subgraphs--but such wiring patterns do not specify when and how potential routes within a cellular network are used. To address this limitation, we introduce activity motifs, which capture patterns in the dynamic use of a network. Using this framework to analyze transcription in Saccharomyces cerevisiae metabolism, we find that cells use different timing activity motifs to optimize transcription timing in response to changing conditions: forward activation to produce metabolic compounds efficiently, backward shutoff to rapidly stop production of a detrimental product and synchronized activation for co-production of metabolites required for the same reaction. Measuring protein abundance over a time course reveals that mRNA timing motifs also occur at the protein level. Timing motifs significantly overlap with binding activity motifs, where genes in a linear chain have ordered binding affinity to a transcription factor, suggesting a mechanism for ordered transcription. Finely timed transcriptional regulation is therefore abundant in yeast metabolism, optimizing the organism's adaptation to new environmental conditions.
对生物网络的深入理解源于对网络基序(即过度丰富的网络子图)的研究,但这种布线模式并未指明细胞网络内潜在路径的使用时间和方式。为解决这一局限性,我们引入了活性基序,它捕捉网络动态使用中的模式。利用该框架分析酿酒酵母代谢中的转录过程,我们发现细胞使用不同的定时活性基序来根据变化的条件优化转录时间:正向激活以高效产生代谢化合物,反向关闭以迅速停止有害产物的产生,以及同步激活以共同产生同一反应所需的代谢物。在一个时间进程中测量蛋白质丰度表明,mRNA定时基序在蛋白质水平也会出现。定时基序与结合活性基序显著重叠,其中线性链中的基因对转录因子具有有序的结合亲和力,这暗示了一种有序转录的机制。因此,精细定时的转录调控在酵母代谢中很常见,优化了生物体对新环境条件的适应。