Search

In recent years, major efforts have been devoted to the application of microscopy with mid-infrared light to the study of living cells and tissue. Despite this interest, infrared (IR) microscopy has not realized its full potential in the molecular characterization of living systems. This is partly due to the fact that current approaches for data mining and analysis of IR absorption spectra have not evolved comparably to measurement technology and are not up to the interpretation of the complex spectra of living systems such as cells and tissue. In this work we show that the use of two-dimensional correlation spectroscopy coupled to IR absorption spectro-microscopy allows us to extract the spectral components of individual metabolites from time-resolved IR spectra of living cells. We call this method correlated cellular spectro-microscopy, and we implement it in the study of the glycolytic metabolism of cancer cells. We show that the method can detect intermediates of the glycolytic pathway, quantify their rate of formation, and correlate this with variations in pH, all in a single measurement. We propose the method as a useful tool for the quantitative description of metabolic processes in living cells and for the validation of drug candidates aimed at suppressing glycolysis in cancer cells.

Objective: Recent studies have suggested that human solid tumors may contain subpopulations of cancer stem cells with the capacity for self-renewal and the potential to initiate and maintain tumor growth. The aim of this study was to use human esophageal cell lines to identify and characterize putative esophageal cancer stem cell populations., Methods: To enrich stemlike cells, Het-1A (derived from immortalized normal esophageal epithelium), OE33, and JH-EsoAd1 (each derived from primary esophageal adenocarcinomas) were cultured using serum-free media to form spheres. A comprehensive analysis of parent and spheroid cells was performed by flow cytometry, Western blot analysis, immunohistochemistry and polymerase chain reaction array to study cancer stem cell-related genes, colony formation assays to assess clonogenicity, xenotransplantation to assess tumorigenicity, and 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide assays to assess chemosensitivity to 5-fluorouracil and cisplatin., Results: For all cell lines, clonogenicity, tumorigenicity, and chemoresistance to 5-fluorouracil and cisplatin were significantly higher than for spheroid cells compared with parent cells. Spheroids exhibited an increased frequency of cells expressing integrin α6(bri)/CD71(dim), and Achaete-scute complex homolog 2 messenger RNA and protein were also significantly overexpressed in spheroid cells compared with parent cells., Conclusions: The higher clonogenicity, tumorigenicity, and drug resistance exhibited by spheroids derived from Het-1A, OE33, and JH-EsoAd1 reflects an enrichment of stemlike cell populations within each esophageal cell line. Esophageal cells enriched for integrin α6(bri)/CD71(dim) and/or overexpressing Achaete-scute complex homolog 2 would appear to represent at least a subpopulation of stemlike cells in Het-1A, OE33, and JH-EsoAd1., (Copyright © 2012 The American Association for Thoracic Surgery. Published by Mosby, Inc. All rights reserved.)

We have tested an approach to identify putative cancer stem cells that involves measurement of the infrared absorption spectrum of individual cells in an aqueous environment, and their subsequent classification using multivariate data analysis techniques. Two primary esophageal cell lines were characterized: the immortalized normal esophageal epithelial cell line, Het-1A, and the esophageal adenocarcinoma cell line, OE33. In addition, we also evaluated spheroids, reflecting stem-like cell populations, which were derived from each parent cell line when grown in serum-free media. As differences in cell size appeared to be a strong discriminating factor, a correction needs to be performed to allow a reliable classification based on infrared absorption spectra. We demonstrated that stem-like cells derived from Het-1A could easily be discriminated on the basis of absorbance differences in the 1000-1200 cm(-1) spectral interval, whereas this was not possible for OE33. Furthermore, we found that changes due to aging of OE33 cells in culture dominated the infrared absorption spectra and somewhat limited the potential of this approach to identify stem-like cell populations using this in vitro model system.