J. Heyrovský Institute of Physical Chemistry of the Czech Academy of Sciences, Dolejškova 3, 182 23 Prague, Czech Republic.
Faculty of Mathematics and Physics, Charles University, Ke Karlovu, 2027/3, 121 16 Prague, Czech Republic.
Anal Chem. 2023 Jun 13;95(23):8807-8815. doi: 10.1021/acs.analchem.2c05692. Epub 2023 May 6.
Several peripheral membrane proteins are known to form membrane pores through multimerization. In many cases, in biochemical reconstitution experiments, a complex distribution of oligomeric states has been observed that may, in part, be irrelevant to their physiological functions. This phenomenon makes it difficult to identify the functional oligomeric states of membrane lipid interacting proteins, for example, during the formation of transient membrane pores. Using fibroblast growth factor 2 (FGF2) as an example, we present a methodology applicable to giant lipid vesicles by which functional oligomers can be distinguished from nonspecifically aggregated proteins without functionality. Two distinct populations of fibroblast growth factor 2 were identified with (i) dimers to hexamers and (ii) a broad population of higher oligomeric states of membrane-associated FGF2 oligomers significantly distorting the original unfiltered histogram of all detectable oligomeric species of FGF2. The presented statistical approach is relevant for various techniques for characterizing membrane-dependent protein oligomerization.
已知几种外周膜蛋白通过多聚化形成膜孔。在许多情况下,在生化重建实验中,观察到了复杂的寡聚状态分布,其中一部分可能与它们的生理功能无关。这种现象使得难以确定膜脂相互作用蛋白的功能寡聚状态,例如,在形成瞬时膜孔期间。本文以成纤维细胞生长因子 2(FGF2)为例,提出了一种适用于巨大脂质体的方法,通过该方法可以将功能性寡聚体与无功能的非特异性聚集蛋白区分开来。鉴定出两种不同的成纤维细胞生长因子 2 群体:(i)二聚体至六聚体,和(ii)与膜相关的成纤维细胞生长因子 2 寡聚体的宽分布的更高寡聚状态,显著扭曲了 FGF2 所有可检测寡聚体种类的原始未过滤直方图。所提出的统计方法与用于表征膜依赖性蛋白质寡聚化的各种技术相关。