Please use this identifier to cite or link to this item: https://doi.org/10.1039/c3an00318c
Title: Determination of cell cycle phases in live B16 melanoma cells using IRMS
Authors: Bedolla, D.E.
Kenig, S.
Mitri, E.
Ferraris, P.
Marcello, A.
Grenci, G. 
Vaccari, L.
Issue Date: 21-Jul-2013
Citation: Bedolla, D.E., Kenig, S., Mitri, E., Ferraris, P., Marcello, A., Grenci, G., Vaccari, L. (2013-07-21). Determination of cell cycle phases in live B16 melanoma cells using IRMS. Analyst 138 (14) : 4015-4021. ScholarBank@NUS Repository. https://doi.org/10.1039/c3an00318c
Abstract: The knowledge of cell cycle phase distribution is of paramount importance for understanding cellular behaviour under normal and stressed growth conditions. This task is usually assessed using Flow Cytometry (FC) or immunohistochemistry. Here we report on the use of FTIR microspectroscopy in Microfluidic Devices (MD-IRMS) as an alternative technique for studying cell cycle distribution in live cells. Asynchronous, S- and GO-synchronized B16 mouse melanoma cells were studied by running parallel experiments based on MD-IRMS and FC using Propidium Iodide (PI) staining. MD-IRMS experiments have been done using silicon-modified BaF2 devices, where the thin silicon layer prevents BaF2 dissolution without affecting the transparency of the material and therefore enabling a better assessment of the Phosphate I (Phi) and II (Phil) bands. Hierarchical Cluster Analysis (HCA) of cellular microspectra in the 1300-1000 cm-1 region pointed out a distribution of cells among clusters, which is in good agreement with FC results among G0/G1, S and G2/M phases. The differentiation is mostly driven by the intensity of Phi and Phil bands. In particular, Phi almost doubles from the G0/G1 to G2/M phase, in agreement with the trend followed by nucleic acids during cellular progression. MD-IRMS is then proposed as a powerful method for the in situ determination of the cell cycle stage of an individual cell, without any labelling or staining, which gives the advantage of possibly monitoring specific cellular responses to several types of stimuli by clearly separating the spectral signatures related to the cellular response from those of cells that are normally progressing. © The Royal Society of Chemistry 2013.
Source Title: Analyst
URI: http://scholarbank.nus.edu.sg/handle/10635/128521
ISSN: 00032654
DOI: 10.1039/c3an00318c
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