Lehnert B E, Steinkamp J A
Cell Biophys. 1986 Jun;8(3):201-12. doi: 10.1007/BF02788495.
Multiparameter flow cytometry was used to identify and sort subpopulations of cells from pleural cell populations harvested from the rat without employing special stains or fluorochrome-labeled monoclonal antibodies. Cell parameters measured included electronic volume, axial light loss, 90 degrees light scatter, and blue autofluorescence. Various bivariate combinations of these parameters were used to distinctly resolve pleural macrophages, eosinophils, mast cells, and lymphocytes. These subpopulations were separately sorted viably according to their unique electrooptical phenotypic characteristics in greater than 90% purity. Our multiparameter flow cytometric approach, accordingly, provides a means by which pleural cell subpopulations may be easily obtained for subsequent in vitro study. Moreover, the general strategy for identifying and isolating these subpopulations may be usefully extended to the identification and isolation of subpopulations of cells occurring in other complex cell mixtures.
多参数流式细胞术用于从大鼠采集的胸膜细胞群体中识别和分选细胞亚群，无需使用特殊染色或荧光染料标记的单克隆抗体。测量的细胞参数包括电子体积、轴向光损失、90度光散射和蓝色自发荧光。这些参数的各种双变量组合用于清晰分辨胸膜巨噬细胞、嗜酸性粒细胞、肥大细胞和淋巴细胞。这些亚群根据其独特的电光表型特征以大于90%的纯度进行了存活分选。因此，我们的多参数流式细胞术方法提供了一种手段，通过该手段可以轻松获得胸膜细胞亚群用于后续的体外研究。此外，识别和分离这些亚群的一般策略可以有效地扩展到识别和分离其他复杂细胞混合物中出现的细胞亚群。
