Dataset Information

Single cell metabolic profiling of tumor mimics.

ABSTRACT: Chemical cytometry employs modern analytical methods to study the differences in composition between single cells to better understand development, cellular differentiation, and disease. Metabolic cytometry is a form of chemical cytometry wherein cells are incubated with and allowed to metabolize fluorescently labeled small molecules. Capillary electrophoresis with laser-induced fluorescence detection is then used to characterize the extent of metabolism at the single cell level. To date, all metabolic cytometry experiments have used conventional two-dimensional cell cultures. HCT 116 spheroids are a three-dimensional cell culture system, morphologically and phenotypically similar to tumors. Here, intact HCT 116 multicellular spheroids were simultaneously incubated with three fluorescently labeled glycosphingolipid substrates, GM3-BODIPY-FL, GM1-BODIPY-TMR, and lactosylceramide-BODIPY-650/665. These substrates are spectrally distinct, and their use allows the simultaneous probing of metabolism at three different points in the glycolipid metabolic cascade. Beginning with intact spheroids, a serial trypsinization and trituration procedure was used to isolate single cells from spatially distinct regions of the spheroid. Cells from the distinct regions showed unique metabolic patterns. Treatment with the lysosomal inhibitor and potential chemotherapeutic chloroquine consistently decreased catabolism for all substrates. Nearly 200 cells were taken for analysis. Principal component analysis with a multivariate measure of precision was used to quantify cell-to-cell variability in glycosphingolipid metabolism as a function of cellular localization and chloroquine treatment. While cells from different regions exhibited differences in metabolism, the heterogeneity in metabolism did not differ significantly across the experimental conditions.

SUBMITTER: Keithley RB

PROVIDER: S-EPMC3816011 | biostudies-literature | 2013 Oct

REPOSITORIES: biostudies-literature

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Single cell metabolic profiling of tumor mimics.

Keithley Richard B RB Weaver Eric M EM Rosado Andrea M AM Metzinger Mark P MP Hummon Amanda B AB Dovichi Norman J NJ

Analytical chemistry 20130912 19

Chemical cytometry employs modern analytical methods to study the differences in composition between single cells to better understand development, cellular differentiation, and disease. Metabolic cytometry is a form of chemical cytometry wherein cells are incubated with and allowed to metabolize fluorescently labeled small molecules. Capillary electrophoresis with laser-induced fluorescence detection is then used to characterize the extent of metabolism at the single cell level. To date, all me ...[more]

PMID: 24011091

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Project description:BackgroundTo improve cancer therapy, it is critical to target metastasizing cells. Circulating tumor cells (CTCs) are rare cells found in the blood of patients with solid tumors and may play a key role in cancer dissemination. Uncovering CTC phenotypes offers a potential avenue to inform treatment. However, CTC transcriptional profiling is limited by leukocyte contamination; an approach to surmount this problem is single cell analysis. Here we demonstrate feasibility of performing high dimensional single CTC profiling, providing early insight into CTC heterogeneity and allowing comparisons to breast cancer cell lines widely used for drug discovery.Methodology/principal findingsWe purified CTCs using the MagSweeper, an immunomagnetic enrichment device that isolates live tumor cells from unfractionated blood. CTCs that met stringent criteria for further analysis were obtained from 70% (14/20) of primary and 70% (21/30) of metastatic breast cancer patients; none were captured from patients with non-epithelial cancer (n = 20) or healthy subjects (n = 25). Microfluidic-based single cell transcriptional profiling of 87 cancer-associated and reference genes showed heterogeneity among individual CTCs, separating them into two major subgroups, based on 31 highly expressed genes. In contrast, single cells from seven breast cancer cell lines were tightly clustered together by sample ID and ER status. CTC profiles were distinct from those of cancer cell lines, questioning the suitability of such lines for drug discovery efforts for late stage cancer therapy.Conclusions/significanceFor the first time, we directly measured high dimensional gene expression in individual CTCs without the common practice of pooling such cells. Elevated transcript levels of genes associated with metastasis NPTN, S100A4, S100A9, and with epithelial mesenchymal transition: VIM, TGFß1, ZEB2, FOXC1, CXCR4, were striking compared to cell lines. Our findings demonstrate that profiling CTCs on a cell-by-cell basis is possible and may facilitate the application of 'liquid biopsies' to better model drug discovery.

Dataset Information

Single cell metabolic profiling of tumor mimics.

Publications

Single cell metabolic profiling of tumor mimics.

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