Chemical and Biological Differentiation of Three Human Breast Cancer Cell Types Using Time-of-Flight Secondary Ion Mass Spectrometry

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...

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Bibliographic Details
Published in:Analytical chemistry (Washington) 2006-06, Vol.78 (11), p.3651-3658
Main Authors: Kulp, Kristen S, Berman, Elena S. F, Knize, Mark G, Shattuck, David L, Nelson, Erik J, Wu, Ligang, Montgomery, Jennifer L, Felton, James S, Wu, Kuang Jen
Format: Article
Language:English
Subjects:
Amino Acids - chemistry
Analytical chemistry
Biological and medical sciences
Breast cancer
Breast Neoplasms - chemistry
Breast Neoplasms - metabolism
Breast Neoplasms - pathology
Cell Differentiation
Cell Line, Tumor
Cells
Chemistry
Exact sciences and technology
General aspects (metabolism, cell proliferation, established cell line...)
Humans
Mass spectrometry
Medical sciences
Proteins - chemistry
Spectrometric and optical methods
Spectrometry, Mass, Secondary Ion - methods
Time Factors
Tumor cell
Tumors
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Summary: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.
ISSN:0003-2700
1520-6882
DOI:10.1021/ac060054c