Fourier transform infrared spectroscopic studies of T-cell lymphoma, B-cell lymphoid and myeloid leukaemia cell lines
| Autor: | Nicholas Stone, Adam D. Rye, Keith McCarthy, Richard Lush, Jaspreet Babrah, Conrad Bessant |
|---|---|
| Rok vydání: | 2009 |
| Předmět: |
Cell type
Lymphoma B-Cell Infrared spectroscopy Lymphoma T-Cell Biochemistry Sensitivity and Specificity Fourier transform spectroscopy Analytical Chemistry Diagnosis Differential hemic and lymphatic diseases Cell Line Tumor Spectroscopy Fourier Transform Infrared Electrochemistry medicine Environmental Chemistry T-cell lymphoma Humans Spectroscopy B cell Chemistry medicine.disease Lymphoma Neoplasm Proteins medicine.anatomical_structure Cell culture Leukemia Myeloid Multivariate Analysis |
| Zdroj: | The Analyst. 134(4) |
| ISSN: | 1364-5528 |
| Popis: | This paper presents Fourier transform infrared (FT-IR) spectroscopy to characterise spectral differences that distinguish cells derived from human T-cell lymphoma, B-cell lymphoid, and myeloid leukaemia cell lines. This methodology is based on spectral measurements of major cellular biochemical constituents and multivariate spectral processing. Major spectral differences were observed in the 1800-900 cm(-1) 'fingerprint' spectral region. Bands in the averaged spectra for each cell line were assigned to major biochemical constituents including: proteins, lipids, carbohydrates and nucleic acids. Multivariate statistical analysis of the spectra was carried out to develop a classification model to discriminate the five cell types. The results show that FT-IR spectroscopy displays high sensitivity and specificity when discriminating between T-cell lymphoma, B-cell lymphoid, and myeloid leukaemia cells based on intrinsic biomolecular signatures. FT-IR spectroscopy in combination with multivariate statistical analysis provides an important insight into T-cell lymphoma, B-cell lymphoid, and myeloid leukaemia cell line identification. In conclusion, this paper demonstrates a potential for this technique to be used in developing a clinical tool for the detection and identification of haematological malignancies. |
| Databáze: | OpenAIRE |
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