Mircheff A K
Am J Physiol. 1983 Apr;244(4):G347-56. doi: 10.1152/ajpgi.1983.244.4.G347.
Despite the importance of cell fractionation methods in studies of epithelial transport mechanisms and of a variety of subcellular processes, current practices in cell fractionation have a number of shortcomings. Most cell fractionation studies depend on biochemical markers, but they provide little independent confirmation of the initial assumptions that markers are uniquely associated with particular subcellular structures and that they are uniformly distributed over the surfaces with which they are associated. Moreover, it is generally difficult and time-consuming to design new membrane isolation procedures. After reviewing the analytical nature of physical separation procedures, I suggest an empirical approach to cell fractionation that is both general and comprehensive. This approach uses physical separation procedures to generate spatial distributions of particles in which position is related to such physical properties as sedimentation coefficient, density, cholesterol content, surface charge, and coefficient of partitioning in aqueous polymer two-phase systems. Determination of the frequency distributions of biochemical markers permits detection of separate populations of particles even when the populations lack unique markers. This process requires no a priori assumptions about the subcellular localizations of particles.
尽管细胞分级分离方法在研究上皮运输机制和各种亚细胞过程中具有重要意义,但目前细胞分级分离的实践存在一些缺点。大多数细胞分级分离研究依赖于生化标记物,但它们几乎没有为最初的假设提供独立的证实,即标记物与特定的亚细胞结构唯一相关,并且它们在与其相关的表面上均匀分布。此外,设计新的膜分离程序通常既困难又耗时。在回顾了物理分离程序的分析性质后,我提出了一种通用且全面的细胞分级分离经验方法。这种方法使用物理分离程序来生成颗粒的空间分布,其中位置与沉降系数、密度、胆固醇含量、表面电荷以及在水性聚合物两相系统中的分配系数等物理性质相关。即使群体缺乏独特的标记物,通过测定生化标记物的频率分布也能够检测到不同的颗粒群体。这个过程不需要对颗粒的亚细胞定位进行先验假设。