Document Detail

Characterization of human breast epithelial cells by confocal Raman microspectroscopy.
MedLine Citation:
PMID:  17113723     Owner:  NLM     Status:  MEDLINE    
BACKGROUND: The past decade has seen an explosion of interest in utilizing Raman spectroscopy in cancer diagnosis, due to its capability to probe changes in the biochemical composition of tissue that accompany disease progression. However, most of the existing methods used multivariate statistical analysis/chemometrics to differentiate normal and diseased tissues, which did not identify the compositional and chemical changes associated with the tumorigenic transition explicitly; also the sub-cellular level spatial resolution achievable through Confocal Raman microscopy was not fully utilized. METHODS: Confocal Raman microspectroscopy was used to characterize normal and transformed human breast epithelial cell lines. Key molecular components (DNA, RNA, and proteins) were extracted from cell nuclei and their Raman spectra were measured and used as a basis set to fit the spectra of cell nuclei. Contributions of each component and their relative contents were evaluated based on the fitting coefficients. RESULTS: Spectrum-fitting revealed that DNA duplication activities in tumorigenic cell nuclei are significantly higher than in normal cells. The fitting coefficients could serve as good spectral markers for disease state identification. CONCLUSIONS: A spectroscopic approach that yields compositional information of cell nuclei could be a powerful tool for rapid cell characterization and assessment of cellular activities at the sub-cellular level.
Chenxu Yu; Erin Gestl; Kristin Eckert; David Allara; Joseph Irudayaraj
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Publication Detail:
Type:  Journal Article     Date:  2006-11-20
Journal Detail:
Title:  Cancer detection and prevention     Volume:  30     ISSN:  0361-090X     ISO Abbreviation:  Cancer Detect. Prev.     Publication Date:  2006  
Date Detail:
Created Date:  2006-12-05     Completed Date:  2007-03-14     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  7704778     Medline TA:  Cancer Detect Prev     Country:  England    
Other Details:
Languages:  eng     Pagination:  515-22     Citation Subset:  IM    
Department of Agricultural and Biological Engineering, Purdue University, West Lafayette, IN 47907, USA.
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MeSH Terms
Breast / cytology*
Breast Neoplasms / pathology*
Cell Line
Cell Line, Tumor
DNA / analysis
Epithelial Cells / cytology*
Nuclear Proteins / analysis
RNA / analysis
Spectrum Analysis, Raman*
Reg. No./Substance:
0/Nuclear Proteins; 63231-63-0/RNA; 9007-49-2/DNA

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