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The heterogeneous distribution of acid hydrolases within a homogeneous population of cultured mammalian cells.

ABSTRACT: 1. Chinese-hamster ovary fibroblasts were cultured to provide a homogeneous cell population. Homogenates obtained from these cells were fractionated by centrifugation techniques and the resulting fractions were analysed for protein and for enzymes representative of certain subcellular particles. 2. Unlike those in rat liver homogenates, the mitochondrial and lysosomal populations proved impossible to separate by differential centrifugation owing to the similarity of their sedimentation properties. Their resolution was possible by using isopycnic centrifugation in a continuous sucrose density gradient. 3. The mitochondrial population equilibrated at a density of 1.17g.cm(-3) as in rat liver homogenates. However, the lysosomal population equilibrated at a lower rather than a higher density position than the mitochondria and the probable reasons for this are discussed. 4. The lysosomal population subdivided into two groups characterized by differences in acid hydrolase content and equilibrium densities. The fraction with a density of 1.15g.cm(-3) contained the majority of arylsulphatases A and B, of cathepsin and of beta-acetylglucosaminidase activities, whereas that with a density of 1.09g.cm(-3) contained the majority of the acid phosphatase and acid ribonuclease activities. The probable division of the lysosomal population of a single cell into a number of distinguishable subgroups is suggested.

SUBMITTER: Milsom JP

PROVIDER: S-EPMC1177613 | biostudies-other | 1973 Mar

REPOSITORIES: biostudies-other

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Project description:A model-based gating strategy is developed for sorting cells and analyzing populations of single cells. The strategy, named CCAST, for Clustering, Classification and Sorting Tree, identifies a gating strategy for isolating homogeneous subpopulations from a heterogeneous population of single cells using a data-derived decision tree representation that can be applied to cell sorting. Because CCAST does not rely on expert knowledge, it removes human bias and variability when determining the gating strategy. It combines any clustering algorithm with silhouette measures to identify underlying homogeneous subpopulations, then applies recursive partitioning techniques to generate a decision tree that defines the gating strategy. CCAST produces an optimal strategy for cell sorting by automating the selection of gating markers, the corresponding gating thresholds and gating sequence; all of these parameters are typically manually defined. Even though CCAST is optimized for cell sorting, it can be applied for the identification and analysis of homogeneous subpopulations among heterogeneous single cell data. We apply CCAST on single cell data from both breast cancer cell lines and normal human bone marrow. On the SUM159 breast cancer cell line data, CCAST indicates at least five distinct cell states based on two surface markers (CD24 and EPCAM) and provides a gating sorting strategy that produces more homogeneous subpopulations than previously reported. When applied to normal bone marrow data, CCAST reveals an efficient strategy for gating T-cells without prior knowledge of the major T-cell subtypes and the markers that best define them. On the normal bone marrow data, CCAST also reveals two major mature B-cell subtypes, namely CD123+ and CD123- cells, which were not revealed by manual gating but show distinct intracellular signaling responses. More generally, the CCAST framework could be used on other biological and non-biological high dimensional data types that are mixtures of unknown homogeneous subpopulations.

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The heterogeneous distribution of acid hydrolases within a homogeneous population of cultured mammalian cells.

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