RESUMO
A major topic in InfraRed (IR) spectroscopic studies of living cells is the complexity of the vibrational spectra, involving hundreds of overlapping absorption bands from all the cellular components present at detectable concentrations. We focus on the relative contribution of both small-molecule metabolites and macromolecules, while defining the spectroscopic properties of cells and tissue in the middle IR (midIR) region. As a consequence, we show the limitations of current interpretative schemes that rely on a small number of macromolecules for IR band assignment. The discussion is framed specifically around the glycolytic metabolism of cancer cells because of the potential pharmacological applications. Several metabolites involved in glycolysis by A549 lung cancer cells can be identified by this approach, which we refer to as Correlated Cellular Spectro-Microscopy (CSM). It is noteworthy that the rate of formation or consumption of specific molecules could be quantitatively assessed by this approach. We now extend this analysis to the two-dimensional case by performing IR imaging on single cells and cell clusters, detecting variations of metabolite concentration in time and space across the sample. The molecular detail obtained from this analysis allows its use in evaluating the pharmacological effect of inhibitors of glycolytic enzymes with potential consequences for in vitro drug testing. Finally we highlight the implications of the spectral contribution from cellular metabolites on applications in IR spectral cytopathology (SCP).
Assuntos
Glicólise , Neoplasias Pulmonares/metabolismo , Neoplasias Pulmonares/patologia , Espectrofotometria Infravermelho , Linhagem Celular Tumoral , Sobrevivência Celular , Humanos , Microscopia , VibraçãoRESUMO
Constitutional isomers of cyanocobalamin adducts based on a fluorescent rhenium tris-carbonyl diimine complex were prepared, characterized and tested against PC-3 cancer cells. The adducts differ only in the relative binding position of the organometallic species which is either bound at the cyano or the 5'-hydroxo group of vitamin B12. When tested for their cytotoxic potency, the species showed IC50 values in the low µM rage. Upon conjugation to the vitamin an energy transfer process causes an extremely low quantum yield of fluorescence emission, making the conjugates unsuitable for fluorescence imaging. However, by exploiting the vibrational signature of the fac-[Re(CO)3](+) core, their cellular distribution was evaluated via FTIR spectromicroscopy.
Assuntos
Complexos de Coordenação/química , Complexos de Coordenação/farmacologia , Rênio/química , Rênio/farmacologia , Vitamina B 12/química , Vitamina B 12/farmacologia , Animais , Transporte Biológico , Linhagem Celular Tumoral , Sobrevivência Celular/efeitos dos fármacos , Humanos , Isomerismo , Camundongos , Células NIH 3T3 , Espectroscopia de Infravermelho com Transformada de FourierRESUMO
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.