Syrian hamster embryo (SHE) assay (pH 6.7) coupled with infrared spectroscopy and chemometrics towards toxicological assessment.

The Syrian hamster embryo (SHE) assay (pH 6.7) is an in vitro candidate to replace in vivo carcinogenicity tests. However, the conventional method of visual scoring of foci (non-transformed vs. transformed colonies) can be time-consuming and is open to subjectivity. Infrared (IR) spectroscopy has the potential to provide objective assessment of such SHE colonies with the added advantage of potentially providing mechanistic information. In this study, SHE cells were treated with one of eight different chemical regimens, allowed in culture to attach and form foci on IR-reflective glass slides; these were subsequently interrogated by attenuated total reflection (ATR) Fourier-transform IR (FTIR) spectroscopy. Derived mid-IR spectra (n = 13,406) were subjected to chemometric analysis focusing primarily on the extraction of biochemical information related to test agent treatment and/or morphological transformation. The use of ATR-FTIR spectroscopy with chemometrics to analyze the SHE assay is a novel approach to toxicological assessment.

[1]  Francis L Martin,et al.  Infrared spectroscopy with multivariate analysis potentially facilitates the segregation of different types of prostate cell. , 2006, Biophysical journal.

[2]  P. Griffiths.  Fourier Transform Infrared Spectrometry , 2007 .

[3]  Francis L Martin,et al.  Characterization of putative stem cell populations in the cornea using synchrotron infrared microspectroscopy. , 2006, Investigative ophthalmology & visual science.

[4]  Paolo Mereghetti,et al.  Embryonic stem cell differentiation studied by FT-IR spectroscopy. , 2008, Biochimica et biophysica acta.

[5]  B. Stuart.  Infrared Spectroscopy , 2004, Analytical Techniques in Forensic Science.

[6]  M. Aardema,et al.  The pH 6.7 Syrian hamster embryo cell transformation assay for assessing the carcinogenic potential of chemicals. , 1996, Mutation research.

[7]  Francis L Martin,et al.  Tracking the cell hierarchy in the human intestine using biochemical signatures derived by mid-infrared microspectroscopy. , 2009, Stem cell research.

[8]  Francis L Martin,et al.  Discrimination of a transformation phenotype in Syrian golden hamster embryo (SHE) cells using ATR-FTIR spectroscopy. , 2009, Toxicology.

[9]  David G. Stork,et al.  Pattern Classification , 1973 .

[10]  Hubert M. Pollock,et al.  Characterization of human corneal stem cells by synchrotron infrared micro-spectroscopy , 2007, Molecular vision.

[11]  Benjamin Bird,et al.  Infrared micro-spectral imaging: distinction of tissue types in axillary lymph node histology , 2008, BMC clinical pathology.

[12]  Plamen Angelov,et al.  Intelligent interrogation of mid-IR spectroscopy data from exfoliative cervical cytology using self-learning classifier eClass , 2008 .

[13]  Francis L Martin,et al.  Monitoring cell cycle distributions in MCF-7 cells using near-field photothermal microspectroscopy. , 2005, Biophysical journal.

[14]  Francis L Martin,et al.  Distinguishing cell types or populations based on the computational analysis of their infrared spectra , 2010, Nature Protocols.

[15]  Isabelle Guyon,et al.  An Introduction to Variable and Feature Selection , 2003, J. Mach. Learn. Res..

[16]  N. Fullwood,et al.  Discrimination of human stem cells by photothermal microspectroscopy , 2009 .

[17]  Ernst Wit,et al.  Identifying Variables Responsible for Clustering in Discriminant Analysis of Data from Infrared Microspectroscopy of a Biological Sample , 2007, J. Comput. Biol..

[18]  Jean Susini,et al.  Microspectroscopy of spectral biomarkers associated with human corneal stem cells , 2010, Molecular vision.

[19]  Francis L Martin,et al.  IR microspectroscopy: potential applications in cervical cancer screening. , 2007, Cancer letters.

[20]  Peter Lasch,et al.  Detection of preclinical scrapie from serum by infrared spectroscopy and chemometrics , 2007, Analytical and bioanalytical chemistry.

[21]  Plamen P. Angelov,et al.  Evolving Fuzzy-Rule-Based Classifiers From Data Streams , 2008, IEEE Transactions on Fuzzy Systems.

[22]  Francis L Martin,et al.  Derivation of a subtype-specific biochemical signature of endometrial carcinoma using synchrotron-based Fourier-transform infrared microspectroscopy. , 2009, Cancer letters.

[23]  Jean Susini,et al.  Fourier Transform Infrared Microspectroscopy Identifies Symmetric PO2− Modifications as a Marker of the Putative Stem Cell Region of Human Intestinal Crypts , 2008, Stem cells.