Xia Tian, Tong Jiansong, Rathore Shailendra S, Gu Xun, Dickerson Julie A
Biomedical Informatics Center, Northwestern University, Chicago, IL 60611, USA.
BMC Syst Biol. 2012 Mar 16;6:19. doi: 10.1186/1752-0509-6-19.
Network motifs, recurring subnetwork patterns, provide significant insight into the biological networks which are believed to govern cellular processes.
We present a comparative network motif experimental approach, which helps to explain complex biological phenomena and increases the understanding of biological functions at the molecular level by exploring evolutionary design principles of network motifs.
Using this framework to analyze the SM (Sec1/Munc18)-SNARE (N-ethylmaleimide-sensitive factor activating protein receptor) system in exocytic membrane fusion in yeast and neurons, we find that the SM-SNARE network motifs of yeast and neurons show distinct dynamical behaviors. We identify the closed binding mode of neuronal SM (Munc18-1) and SNARE (syntaxin-1) as the key factor leading to mechanistic divergence of membrane fusion systems in yeast and neurons. We also predict that it underlies the conflicting observations in SM overexpression experiments. Furthermore, hypothesis-driven lipid mixing assays validated the prediction.
Therefore this study provides a new method to solve the discrepancies and to generalize the functional role of SM proteins.
网络模体,即反复出现的子网模式,为人们深入了解被认为调控细胞过程的生物网络提供了重要线索。
我们提出了一种比较网络模体实验方法,该方法通过探索网络模体的进化设计原则,有助于解释复杂的生物现象,并增进对分子水平生物功能的理解。
利用该框架分析酵母和神经元胞吐膜融合中的SM(Sec1/Munc18)-SNARE(N-乙基马来酰亚胺敏感因子激活蛋白受体)系统,我们发现酵母和神经元的SM-SNARE网络模体表现出不同的动力学行为。我们确定神经元SM(Munc18-1)和SNARE( syntaxin-1)的封闭结合模式是导致酵母和神经元膜融合系统机制差异的关键因素。我们还预测它是SM过表达实验中相互矛盾观察结果的基础。此外,基于假设的脂质混合试验验证了这一预测。
因此,本研究提供了一种新方法来解决差异问题,并概括SM蛋白的功能作用。