Mao Lei, Zabel Claus, Herrmann Marion, Nolden Tobias, Mertes Florian, Magnol Laetitia, Chabert Caroline, Hartl Daniela, Herault Yann, Delabar Jean Maurice, Manke Thomas, Himmelbauer Heinz, Klose Joachim
Institute for Human Genetics, Charité-University Medicine Berlin, Germany.
PLoS One. 2007 Nov 28;2(11):e1218. doi: 10.1371/journal.pone.0001218.
Large numbers of protein expression changes are usually observed in mouse models for neurodegenerative diseases, even when only a single gene was mutated in each case. To study the effect of gene dose alterations on the cellular proteome, we carried out a proteomic investigation on murine embryonic stem cells that either overexpressed individual genes or displayed aneuploidy over a genomic region encompassing 14 genes. The number of variant proteins detected per cell line ranged between 70 and 110, and did not correlate with the number of modified genes. In cell lines with single gene mutations, up and down-regulated proteins were always in balance in comparison to parental cell lines regarding number as well as concentration of differentially expressed proteins. In contrast, dose alteration of 14 genes resulted in an unequal number of up and down-regulated proteins, though the balance was kept at the level of protein concentration. We propose that the observed protein changes might partially be explained by a proteomic network response. Hence, we hypothesize the existence of a class of "balancer" proteins within the proteomic network, defined as proteins that buffer or cushion a system, and thus oppose multiple system disturbances. Through database queries and resilience analysis of the protein interaction network, we found that potential balancer proteins are of high cellular abundance, possess a low number of direct interaction partners, and show great allelic variation. Moreover, balancer proteins contribute more heavily to the network entropy, and thus are of high importance in terms of system resilience. We propose that the "elasticity" of the proteomic regulatory network mediated by balancer proteins may compensate for changes that occur under diseased conditions.
在神经退行性疾病的小鼠模型中,通常会观察到大量的蛋白质表达变化,即使在每种情况下只有一个基因发生突变。为了研究基因剂量改变对细胞蛋白质组的影响,我们对小鼠胚胎干细胞进行了蛋白质组学研究,这些细胞要么过表达单个基因,要么在一个包含14个基因的基因组区域显示非整倍性。每个细胞系检测到的变体蛋白数量在70到110之间,且与修饰基因的数量无关。在单基因突变的细胞系中,与亲代细胞系相比,上调和下调的蛋白质在数量以及差异表达蛋白质的浓度方面始终保持平衡。相比之下,14个基因的剂量改变导致上调和下调蛋白质的数量不相等,尽管在蛋白质浓度水平上保持了平衡。我们认为,观察到的蛋白质变化可能部分由蛋白质组网络反应来解释。因此,我们假设在蛋白质组网络中存在一类“平衡器”蛋白,定义为缓冲或缓冲系统、从而对抗多种系统干扰的蛋白质。通过数据库查询和蛋白质相互作用网络的弹性分析,我们发现潜在的平衡器蛋白细胞丰度高、直接相互作用伙伴数量少且等位基因变异大。此外,平衡器蛋白对网络熵的贡献更大,因此在系统弹性方面非常重要。我们提出,由平衡器蛋白介导的蛋白质组调控网络的“弹性”可能补偿疾病状态下发生的变化。