Raman spectroscopy-based multivariate statistical analysis reveals the molecular mechanism of K562 cell apoptosis induced by Adriamycin

Spectroscopy Letters

Volumn 47, Issue 4, 2014, Pages 301-305

  Tao, Tao ^a   Shen, Qi ^b   Lu, Xiaoxu ^a   He, Yingtian ^a   Zhong, Liyun ^a  

^a SOUTH CHINA NORMAL UNIVERSITY   (China)

^b MEDICAL COLLEGE OF JINAN UNIVERSITY   (China)

Author keywords

hierarchical cluster analysis; k562 cell; principal component analysis; Raman spectroscopy

Indexed keywords

EID: 84893980704     PISSN: 00387010     EISSN: 15322289     Source Type: Journal    
DOI: 10.1080/00387010.2013.803207     Document Type: Article

References (12)

1. Arcamone, F.; Cassinelli, G.; Fantini, G.; Grein, A.; Orezzi, P.; Pol, C.; Spalla, C. Adriamycin, 14-hydroxydaimomycin, a new antitumor antibiotic from S. Peucetius var caesius. Biotechnol. Bioeng. 2004, 11, 1101-1110.
2. Feofanov, A.; Sharonov, S.; Kudelina, I.; Fleury, F.; Nabiev, I. Localization and molecular interactions of mitoxantrone within living K562 cells as probed by confocal spectral imaging analysis. Biophys. J. 1997, 73, 3317-3327.
3. Crow, P.; Uff, J.; Farmer, J.; Wright, M.; Stone, N. The use of Raman spectroscopy to identify and characterize transitional cell carcinoma in vitro. BJU Int. 2004, 93, 1232-1236.
4. Mannie, M. D.; McConnell, T. J.; Xie, C.; Li, Y-q. Activationdependent phases of T cells distinguished by use of optical tweezers and near infrared Raman spectroscopy. J. Immunol. Methods 2005, 297, 53-60.
5. Malini, R.; Venkatakrishna, K.; Kurien, J.; Pai, K. M.; Rao, L.; Kartha, V.; Krishna, C. M. Discrimination of normal, inflammatory, premalignant, and malignant oral tissue: a Raman spectroscopy study. Biopolymers 2006, 81, 179-193.
6. Das, G.; La Rocca, R.; Lakshmikanth, T.; Gentile, F.; Tallerico, R.; Zambetti, L. P.; Devitt, J.; Candeloro, P.; De Angelis, F.; Carbone, E. Monitoring human leukocyte antigen class I molecules by micro-Raman spectroscopy at single-cell level. J. Biomed. Optics 2010, 15, 027007-027007-027009.
7. Chan, J. W.; Taylor, D. S.; Zwerdling, T.; Lane, S. M.; Ihara, K.; Huser, T. Micro-Raman spectroscopy detects individual neoplastic and normal hematopoietic cells. Biophys. J. 2006, 90, 648-656
8. Shanmukh, S.; Jones, L.; Zhao, Y-P.; Driskell, J.; Tripp, R.; Dluhy, R. Identification and classification of respiratory syncytial virus (RSV) strains by surface-enhanced Raman spectroscopy and multivariate statistical techniques. Anal. Bioanal. Chem. 2008, 390, 1551-1555.
9. Xie, C.; Mace, J.; Dinno, M.; Li, Y.; Tang, W.; Newton, R.; Gemperline, P. Identification of single bacterial cells in aqueous solution using confocal laser tweezers Raman spectroscopy. Anal. Chem. 2005, 77, 4390-4397.
10. Zhang, Z-M.; Chen, S.; Liang, Y-Z. Baseline correction using adaptive iteratively reweighted penalized least squares. Analyst 2010, 135, 1138-1146.
11. Kniggendorf, A-K.; Gaul, T. W.; Meinhardt-Wollweber, M. Hierarchical cluster analysis (HCA) of microorganisms: an assessment of algorithms for resonance Raman spectra. Appl. Spectrosc. 2011, 65, 165-173.
12. Pichardo-Molina, J.; Frausto-Reyes, C.; Barbosa-García, O.; Huerta-Franco, R.; Gonzá lez-Trujillo, J.; Ramírez-Alvarado, C.; Gutié rrez-Juá rez, G.; Medina-Gutié rrez, C. Raman spectroscopy and multivariate analysis of serum samples from breast cancer patients. Lasers Med. Sci. 2007, 22, 229-236.