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Article Open Access

Classification of cancer cell lines using matrix-assisted laser desorption/ionization time‑of‑flight mass spectrometry and statistical analysis

  • Authors:
    • Vlad Serafim
    • Ajit Shah
    • Maria Puiu
    • Nicoleta Andreescu
    • Dorina Coricovac
    • Alexander Nosyrev
    • Demetrios A. Spandidos
    • Aristides M. Tsatsakis
    • Cristina Dehelean
    • Iulia Pinzaru
  • View Affiliations / Copyright

    Affiliations: Center of Genomic Medicine, ‘Victor Babes’ University of Medicine and Pharmacy, Timisoara 300041, Romania, Department of Natural Sciences, Middlesex University, London NW4 4BT, UK, Department of Toxicology, Faculty of Pharmacy, ‘Victor Babes’ University of Medicine and Pharmacy, 300041 Timisoara, Romania, Central Chemical Laboratory of Toxicology, I.M. Sechenov First Moscow State Medical University, 119991 Moscow, Russia, Laboratory of Clinical Virology, Medical School, University of Crete, 71003 Heraklion, Greece, Department of Forensic Sciences and Toxicology, Faculty of Medicine, University of Crete, 71003 Heraklion, Greece
    Copyright: © Serafim et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Pages: 1096-1104
    |
    Published online on: July 27, 2017
       https://doi.org/10.3892/ijmm.2017.3083
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Abstract

Over the past decade, matrix-assisted laser desorption/ionization time‑of‑flight mass spectrometry (MALDI‑TOF MS) has been established as a valuable platform for microbial identification, and it is also frequently applied in biology and clinical studies to identify new markers expressed in pathological conditions. The aim of the present study was to assess the potential of using this approach for the classification of cancer cell lines as a quantifiable method for the proteomic profiling of cellular organelles. Intact protein extracts isolated from different tumor cell lines (human and murine) were analyzed using MALDI‑TOF MS and the obtained mass lists were processed using principle component analysis (PCA) within Bruker Biotyper® software. Furthermore, reference spectra were created for each cell line and were used for classification. Based on the intact protein profiles, we were able to differentiate and classify six cancer cell lines: two murine melanoma (B16‑F0 and B164A5), one human melanoma (A375), two human breast carcinoma (MCF7 and MDA‑MB‑231) and one human liver carcinoma (HepG2). The cell lines were classified according to cancer type and the species they originated from, as well as by their metastatic potential, offering the possibility to differentiate non‑invasive from invasive cells. The obtained results pave the way for developing a broad‑based strategy for the identification and classification of cancer cells.
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Copy and paste a formatted citation
Spandidos Publications style
Serafim V, Shah A, Puiu M, Andreescu N, Coricovac D, Nosyrev A, Spandidos DA, Tsatsakis AM, Dehelean C, Pinzaru I, Pinzaru I, et al: Classification of cancer cell lines using matrix-assisted laser desorption/ionization time‑of‑flight mass spectrometry and statistical analysis. Int J Mol Med 40: 1096-1104, 2017.
APA
Serafim, V., Shah, A., Puiu, M., Andreescu, N., Coricovac, D., Nosyrev, A. ... Pinzaru, I. (2017). Classification of cancer cell lines using matrix-assisted laser desorption/ionization time‑of‑flight mass spectrometry and statistical analysis. International Journal of Molecular Medicine, 40, 1096-1104. https://doi.org/10.3892/ijmm.2017.3083
MLA
Serafim, V., Shah, A., Puiu, M., Andreescu, N., Coricovac, D., Nosyrev, A., Spandidos, D. A., Tsatsakis, A. M., Dehelean, C., Pinzaru, I."Classification of cancer cell lines using matrix-assisted laser desorption/ionization time‑of‑flight mass spectrometry and statistical analysis". International Journal of Molecular Medicine 40.4 (2017): 1096-1104.
Chicago
Serafim, V., Shah, A., Puiu, M., Andreescu, N., Coricovac, D., Nosyrev, A., Spandidos, D. A., Tsatsakis, A. M., Dehelean, C., Pinzaru, I."Classification of cancer cell lines using matrix-assisted laser desorption/ionization time‑of‑flight mass spectrometry and statistical analysis". International Journal of Molecular Medicine 40, no. 4 (2017): 1096-1104. https://doi.org/10.3892/ijmm.2017.3083
Copy and paste a formatted citation
x
Spandidos Publications style
Serafim V, Shah A, Puiu M, Andreescu N, Coricovac D, Nosyrev A, Spandidos DA, Tsatsakis AM, Dehelean C, Pinzaru I, Pinzaru I, et al: Classification of cancer cell lines using matrix-assisted laser desorption/ionization time‑of‑flight mass spectrometry and statistical analysis. Int J Mol Med 40: 1096-1104, 2017.
APA
Serafim, V., Shah, A., Puiu, M., Andreescu, N., Coricovac, D., Nosyrev, A. ... Pinzaru, I. (2017). Classification of cancer cell lines using matrix-assisted laser desorption/ionization time‑of‑flight mass spectrometry and statistical analysis. International Journal of Molecular Medicine, 40, 1096-1104. https://doi.org/10.3892/ijmm.2017.3083
MLA
Serafim, V., Shah, A., Puiu, M., Andreescu, N., Coricovac, D., Nosyrev, A., Spandidos, D. A., Tsatsakis, A. M., Dehelean, C., Pinzaru, I."Classification of cancer cell lines using matrix-assisted laser desorption/ionization time‑of‑flight mass spectrometry and statistical analysis". International Journal of Molecular Medicine 40.4 (2017): 1096-1104.
Chicago
Serafim, V., Shah, A., Puiu, M., Andreescu, N., Coricovac, D., Nosyrev, A., Spandidos, D. A., Tsatsakis, A. M., Dehelean, C., Pinzaru, I."Classification of cancer cell lines using matrix-assisted laser desorption/ionization time‑of‑flight mass spectrometry and statistical analysis". International Journal of Molecular Medicine 40, no. 4 (2017): 1096-1104. https://doi.org/10.3892/ijmm.2017.3083
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