Fourier transform infrared microspectroscopy and multivariate methods for radiobiological dosimetry

Radiation Research

Volumn 173, Issue 2, 2010, Pages 225-237

  Meade, A D ^a   Clarke, C ^a   Byrne, H J ^a   Lyng, F M ^a  

^a DUBLIN INSTITUTE OF TECHNOLOGY   (Ireland)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; CONTROLLED STUDY; DOSIMETRY; GENERALIZED NEURAL NETWORK REGRESSION; HUMAN; HUMAN CELL; INFRARED SPECTROSCOPY; IONIZING RADIATION; MULTIVARIATE ANALYSIS; PARTIAL LEAST SQUARES REGRESSION; PRIORITY JOURNAL; RADIATION DOSE; RADIOBIOLOGY; SENSITIVITY ANALYSIS; SKIN CELL;

CELL LINE, TRANSFORMED; HUMANS; LEAST-SQUARES ANALYSIS; MODELS, THEORETICAL; MULTIVARIATE ANALYSIS; RADIATION DOSAGE; SPECTROSCOPY, FOURIER TRANSFORM INFRARED;

EID: 75149167912     PISSN: 00337587     EISSN: None     Source Type: Journal    
DOI: 10.1667/RR1836.1     Document Type: Article

References (64)

1. R. B. Mikkelsen and P. Wardman, Biological chemistry of reactive oxygen and nitrogen and radiation-induced signal transduction mechanisms. Oncogene 22, 5734-5754 (2003).
2. P. Dent, A. Yacoub, J. Contessa, R. Caron, G. Amorino, K. Valerie, M. P. Hagan, S. Grant and R. Schmidt-Ullrich, Stress and radiation-induced activation of multiple intracellular signaling pathways. Radiat. Res. 159, 283-300 (2003).
3. E. J. Hall and A. J. Giaccia, Radiobiology for the Radiologist, 6th ed. Lippincott Williams and Wilkins, Philadelphia, 2005.
4. B. G. Wouters and A. C. Begg, Irradiation-induced damage and the DNA damage response. In Basic Clinical Radiobiology (M. C. Joiner and A. van der Kogel, Eds.), pp. 11-26. Hodder Arnold, London, 2009.
5. P. O'Neill, Radiation-induced damage in DNA. In Radiation Chemistry-Present status and future trends (C. D. Jonah and B. S. Madhava Rao, Eds.), pp. 585-622. Elsevier, London, 2001.
6. C. von Sonntag, The Chemical Basis of Radiation Biology. Taylor & Francis, London, 1987.
7. L. Brugmans, R. Kanaar and J. Essers, Analysis of DNA double-strand break repair pathways in mice. Mutat. Res. 614, 95-108 (2007).
8. J. Falck, J. Coates and S. P. Jackson, Conserved modes of recruitment of ATM, ATR and DNA-PKcs to sites of DNA damage. Nature 434, 605-611 (2005).
9. M. B. Kastan and J. Bartek, Cell-cycle checkpoints and cancer. Nature 432, 316-323 (2004).
10. I. Szumiel, Intrinsic radiation sensitivity: cellular signaling is the key. Radiat. Res. 169, 249-258 (2008).
11. R. C. Taylor, S. P. Cullen and S. J. Martin, Apoptosis: controlled demolition at the cellular level. Nat. Rev. 9, 231-241 (2008).
12. M. Castedo, J. L. Perfettini, T. Roumier, K. Andreau, R. Medema and G. Kroemer, Cell death by mitotic catastrophe: a molecular definition. Oncogene 23, 2825-2837 (2004).
13. J. Campisi and F. d'Adda di Fagagna, Cellular senescence: when bad things happen to good cells. Nat. Rev. 8, 729-740 (2007).
14. D. J. Klionsky, Autophagy: from phenomenology to molecular understanding in less than a decade. Nat. Rev. 8, 931-937 (2007).
15. K. M. Prise, G. Schettino, M. Folkard and K. D. Held, New insights on cell death from radiation exposure. Lancet Oncol. 6, 520-528 (2005).
16. J. D. Tucker, Low-dose ionizing radiation and chromosome translocations: a review of the major considerations for human biological dosimetry. Mutat. Res. 659, 211-220 (2008).
17. A. D. Patterson, H. Li, G. S. Eichler, K. W. Krausz, J. N. Weinstein, A. J. Fornace, Jr., F. J. Gonzalez and J. R. Idle, UPLC-ESI-TOFMS-based metabolomics and gene expression dynamics inspector self-organizing metabolomic maps as tools for understanding the cellular response to ionizing radiation. Anal. Chem. 80, 665-674 (2008).
18. 1H-NMR of apoptosis and necrosis in HL60 leukemia cells: differences between the two types of cell death and independence from the stimulus of apoptosis used. Radiat. Res. 169, 170-180 (2008).
19. J. B. Tyburski, A. D. Patterson, K. W. Krausz, J. Slavik, A. J. Fornace, Jr., F. J. Gonzalez and J. R. Idle, Radiation metabolomics. 1. Identification of minimally invasive urine biomarkers for gamma-radiation exposure in mice. Radiat. Res. 170, 1-14 (2008).
20. C. Matthaus, S. Boydston-White, M. Miljkovic, M. Romeo and M. Diem, Raman and infrared microspectral imaging of mitotic cells. Appl. Spectrosc. 60, 1-8 (2006).
21. F. M. Lyng, E. O. Faolain, J. Conroy, A. D. Meade, P. Knief, B. Duffy, M. B. Hunter, J. M. Byrne, P. Kelehan and H. J. Byrne, Vibrational spectroscopy for cervical cancer pathology, from biochemical analysis to diagnostic tool. Exp. Mol. Pathol. 82, 121-129 (2007).
22. A. D. Meade, F. M. Lyng, P. Knief and H. J. Byrne, Growth substrate induced functional changes elucidated by FTIR and Raman spectroscopy in in-vitro cultured human keratinocytes. Anal. Bioanal. Chem. 387, 1717-1728 (2007).
23. M. Diem, M. Romeo, S. Boydston-White, M. Miljkovic and C. Matthaus, A decade of vibrational micro-spectroscopy of human cells and tissue (1994-2004). Analyst 129, 880-885 (2004).
24. K. Z. Liu, L. Jia, S. M. Kelsey, A. C. Newland and H. H. Mantsch, Quantitative determination of apoptosis on leukemia cells by infrared spectroscopy. Apoptosis 6, 269-278 (2001).
25. J. Mourant, P. Kunapareddy, S. Carpenter and J. P. Freyer, Vibrational spectroscopy for identification of biochemical changes accompanying carcinogenesis and the formation of necrosis. Gynecol. Oncol. 99, S58-S60 (2005).
26. N. Gault and J. L. Lefaix, Infrared microspectroscopic characteristics of radiation-induced apoptosis in human lymphocytes. Radiat. Res. 160, 238-250 (2003).
27. 2-treated human cells. Int. J. Radiat. Biol. 81, 767-779 (2005).
28. N. Gault, O. Rigaud, J. L. Poncy and J. L. Lefaix, Biochemical alterations in human cells irradiated with alpha particles delivered by macro-or microbeams. Radiat. Res. 167, 551-562 (2007).
29. R. Jyothi Lakshmi, V. B. Kartha, C. Murali Krishna, J. G. R. Solomon, G. Ullas and P. Uma Devi, Tissue Raman spectroscopy for the study of radiation damage: brain irradiation of mice. Radiat. Res. 157, 175-182 (2002).
30. A. Synytsya, P. Alexa, J. Besserer, J. De Boer, S. Froschauer, R. Gerlach, M. Loewe, M. Moosburger, I. Obstová and M. Würkner, Raman spectroscopy of tissue samples irradiated by protons. Int. J. Radiat. Biol. 80, 581-591 (2004).
31. M. S. Vidyasagar, K. Maheedhar, B. M. Vadhiraja, D. J. Fernendes, V. B. Kartha and C. M. Krishna, Prediction of radiotherapy response in cervix cancer by Raman spectroscopy: a pilot study. Biopolymers 89, 530-537 (2008).
32. J. de Boer, A. Synytsya, P. Alex, J. Besserer, S. Froschauer, M. Loewe, M. Moosburger, K. Volka and M. Würkner, The effect of proton-irradiation on the Raman spectroscopy of tissue samples. Radiother. Oncol. 73 (Suppl. 2), S102-S104 (2004). (Pubitemid 41219126)
33. A. M. Melin, A. Perromat and G. Deleris, Sensitivity of Deinococcus radiodurans to gamma-irradiation: a novel approach by Fourier transform infrared spectroscopy. Arch. Biochem. Biophys. 394, 265-274 (2001).
34. A. M. Melin, A. Perromat, C. Lorin and G. Deleris, Gamma irradiation and cellular damage in Kocuria rosea: investigation by one-and two-dimensional infrared spectroscopy. Arch. Biochem. Biophys. 408, 211-219 (2002).
35. A. Perromat, A. M. Melin, C. Lorin and G. Deleris, Fourier transform IR spectroscopic appraisal of radiation damage in Micrococcus luteus. Biopolymers 72, 207-216 (2003).
36. K. Sailer, S. Viaggi and M. Nusse, Radiation-induced structural modifications in dsDNA analysed by FT-Raman spectroscopy. Int. J. Radiat. Biol. 69, 601-613 (1996).
37. K. Sailer, S. Viaggi and M. Nusse, Kinetics of radiation-and cytochrome c-induced modifications in liposomes analysed by FT-Raman spectroscopy. Biochim. Biophys. Acta 1329, 259-268 (1997).
38. S. P. Verma, Low levels of irradiation modify lipid domains in model membranes: a laser Raman study. Radiat. Res. 107, 183-193 (1986).
39. P. R. Griffiths and J. A. de Haseth, Fourier Transform Infrared Spectroscopy. Wiley, Hoboken, NJ, 2007.
40. D. Naumann, FT-infrared and FT-Raman spectroscopy in biomedical research. In Infrared and Raman Spectroscopy of Biological Materials (H. U. Gremlich and B. Yan, Eds.), pp. 323-377. Marcel Dekker, New York, 2001.
41. K. Varmuza and P. Filzmoser, Introduction to Multivariate Statistical Analysis in Chemometrics. CRC Press, Boca Raton, FL, 2009.
42. H. Martens and T. Naes, Multivariate Calibration. Wiley, Hoboken, NJ, 1994.
43. F. Despagne and D. L. Massart, Neural networks in multivariate calibration. Analyst 123, 157R-178R (1998).
44. P. Boukamp, R. T. Petrussevska, D. Breitkreutz, J. Hornung, A. Markham and N. E. Fusenig, Normal keratinization in a spontaneously immortalized aneuploid human keratinocyte cell line. J. Cell Biol. 106, 761-771 (1988).
45. E. Gazi, J. Dwyer, N. P. Lockyer, J. Miyan, P. Gardner, C. Hart, M. Brown and N. W. Clarke, Fixation protocols for subcellular imaging by synchrotron-based Fourier transform infrared microspectroscopy. Biopolymers 77, 18-30 (2005).
46. G. Hastings, R. Wang, P. Krug, D. Katz and J. Hilliard, Infrared microscopy for the study of biological cell monolayers. I. Spectral effects of acetone and formalin fixation. Biopolymers 89, 921-930 (2008).
47. A. Kohler, C. Kirschner, A. Oust and H. Martens, Extended multiplicative signal correction as a tool for separation and characterization of physical and chemical information in Fourier transform infrared microscopy images of cryo-sections of beef loin. Appl. Spectrosc. 59, 707-716 (2005).
48. S. W. Bruun, A. Kohler, I. Adt, G. D. Sockalingum, M. Manfait and H. Martens, Correcting attenuated total reflection-Fourier transform infrared spectra for water vapor and carbon dioxide. Appl. Spectrosc. 60, 1029-1039 (2006).
49. F. Grubbs, Procedures for detecting outlier observations in samples. Technometrics 11, 1-21 (1969).
50. S. Wold, H. Martens and H. Wold, The multivariate calibration problem in chemistry solved by the PLS method. In Proceedings of the Conference on Matrix Pencils, pp. 286-293. Springer Verlag, Heidelberg, 1983.
51. P. O'Neill and P. Wardman, Radiation chemistry comes before radiation biology. Int. J. Radiat. Biol. 85, 9-25 (2009).
52. F. Dieterle, S. Busche and G. Gauglitz, Different approaches to multivariate calibration of nonlinear sensor data. Anal. Bioanal. Chem. 380, 383-396 (2004).
53. D. F. Specht, A general regression neural network. IEEE Trans. Neural Netw. 2, 568-576 (1991).
54. P. D. Wasserman, Advanced Methods in Neural Computing. Van Nostrand Reinhold, New York, 1993.
55. A. C. Olivieri, N. K. M. Faber, J. Ferre, R. Boque, J. H. Kalivas and H. Mark, Uncertainty estimation and figures of merit for multivariate calibration. Pure Appl. Chem. 78, 633-661 (2006).
56. J. A. F. Pierna, L. Jin, F. Wahl, N. M. Faber and D. L. Massart, Estimation of partial least squares regression prediction uncertainty when the reference values carry a sizeable measurement error. Chemometr. Intell. Lab. Syst. 65, 281-291 (2003).
57. G. Socrates, Infrared and Raman Characteristic Group Frequencies-Tables and Charts. Wiley, Chichester, 2001.
58. E. Taillandier and J. Liquier, Infrared spectroscopy of DNA. Methods Enzymol. 211, 307-335 (1992).
59. B. F. Trump and I. K. Berezesky, The reactions of cells to injury: oncosis and necrosis-the role of calcium. In When Cells Die. A Comprehensive Evaluation of Apoptosis and Programmed Cell Death (R. A. Lockshin, Z. Zakeri and J. L. Tilly, Eds.), pp. 57-96. Wiley-Liss, New York, 1998.
60. P. Bhatti, D. L. Preston, M. M. Doody, M. Hauptmann, D. Kampa, B. H. Alexander, D. Petibone, S. L. Simon, R. M. Weinstock and A. J. Sigurdson, Retrospective biodosimetry among United States radiologic technologists. Radiat. Res. 167, 727-734 (2007).
61. M. Diem, M. Romeo, C. Matthäus, M. Miljkovica, L. Miller and L. Lasch, Comparison of Fourier transform infrared (FTIR) spectra of individual cells acquired using synchrotron and conventional sources. Infrared Phys. Tech. 45, 331-338 (2004).
62. H. Y. N. Holman, M. C. Martin, E. A. Blakely, K. Bjornstad and W. R. McKinney, IR spectroscopic characteristics of cell cycle and cell death probed by synchrotron radiation based Fourier transform IR spectromicroscopy. Biopolymers (Biospectroscopy) 57, 329-335 (2000).
63. P. Lasch, A. Pacifico and M. Diem, Spatially resolved IR microspectroscopy of single cells. Biopolymers 67, 335-338 (2002).
64. A. Tfayli, O. Piot, A. Durlach, P. Bernard and M. Manfait, Discriminating nevus and melanoma on paraffin-embedded skin biopsies using FTIR microspectroscopy. Biochim. Biophys. Acta 1724, 262-269 (2005).