| Literature DB >> 16737220 |
Kristen S Kulp1, Elena S F Berman, Mark G Knize, David L Shattuck, Erik J Nelson, Ligang Wu, Jennifer L Montgomery, James S Felton, Kuang Jen Wu.
Abstract
We use time-of-flight secondary ion mass spectrometry (TOF-SIMS) to image and classify individual cells on the basis of their characteristic mass spectra. Using statistical data reduction on the large data sets generated during TOF-SIMS analysis, similar biological materials can be differentiated on the basis of a combination of small changes in protein expression, metabolic activity and cell structure. We apply this powerful technique to image and differentiate three carcinoma-derived human breast cancer cell lines (MCF-7, T47D, and MDA-MB-231). In homogenized cells, we show the ability to differentiate the cell types as well as cellular compartments (cytosol, nuclear, and membrane). These studies illustrate the capacity of TOF-SIMS to characterize individual cells by chemical composition, which could ultimately be applied to detect and identify single aberrant cells within a normal cell population. Ultimately, we anticipate characterizing rare chemical changes that may provide clues to single cell progression within carcinogenic and metastatic pathways.Entities:
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Year: 2006 PMID: 16737220 DOI: 10.1021/ac060054c
Source DB: PubMed Journal: Anal Chem ISSN: 0003-2700 Impact factor: 6.986