Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, Hungary.
Cytocast Hungary Kft, Budapest, Hungary.
BMC Neurosci. 2024 Jul 6;25(1):32. doi: 10.1186/s12868-024-00880-1.
The postsynaptic density is an elaborate protein network beneath the postsynaptic membrane involved in the molecular processes underlying learning and memory. The postsynaptic density is built up from the same major proteins but its exact composition and organization differs between synapses. Mutations perturbing protein: protein interactions generally occurring in this network might lead to effects specific for cell types or processes, the understanding of which can be especially challenging.
In this work we use systems biology-based modeling of protein complex distributions in a simplified set of major postsynaptic proteins to investigate the effect of a hypomorphic Shank mutation perturbing a single well-defined interaction. We use data sets with widely variable abundances of the constituent proteins. Our results suggest that the effect of the mutation is heavily dependent on the overall availability of all the protein components of the whole network and no trivial correspondence between the expression level of the directly affected proteins and overall complex distribution can be observed.
Our results stress the importance of context-dependent interpretation of mutations. Even the weakening of a generally occurring protein: protein interaction might have well-defined effects, and these can not easily be predicted based only on the abundance of the proteins directly affected. Our results provide insight on how cell-specific effects can be exerted by a mutation perturbing a generally occurring interaction even when the wider interaction network is largely similar.
突触后密度是突触后膜下的一个精细的蛋白质网络,参与学习和记忆的分子过程。突触后密度是由相同的主要蛋白质构成的,但在不同的突触中,其确切组成和组织有所不同。扰乱蛋白质-蛋白质相互作用的突变通常发生在这个网络中,可能导致特定于细胞类型或过程的影响,理解这些影响可能特别具有挑战性。
在这项工作中,我们使用基于系统生物学的简化主要突触后蛋白质组中蛋白质复合物分布的建模,研究了扰乱单个明确相互作用的 Shank 突变体对蛋白质复合物分布的影响。我们使用具有广泛变化的组成蛋白丰度的数据集。我们的结果表明,突变的影响在很大程度上取决于整个网络中所有蛋白质成分的整体可用性,并且不能观察到直接受影响的蛋白质的表达水平与整体复合物分布之间存在简单的对应关系。
我们的结果强调了对突变进行上下文相关解释的重要性。即使是普遍存在的蛋白质-蛋白质相互作用的削弱也可能具有明确的影响,而仅凭直接受影响的蛋白质的丰度,这些影响很难预测。我们的结果提供了一些见解,说明即使更广泛的相互作用网络在很大程度上相似,扰乱普遍存在的相互作用的突变也如何能够产生特定于细胞的效应。