Classification of cancer cell lines using matrix-assisted laser desorption/ionization timeofflight mass spectrometry and statistical analysis.
Int J Mol Med
; 40(4): 1096-1104, 2017 Oct.
Article
in En
| MEDLINE
| ID: mdl-28765873
ABSTRACT
Over the past decade, matrix-assisted laser desorption/ionization timeofflight mass spectrometry (MALDITOF 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 MALDITOF 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 (B16F0 and B164A5), one human melanoma (A375), two human breast carcinoma (MCF7 and MDAMB231) 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 noninvasive from invasive cells. The obtained results pave the way for developing a broadbased strategy for the identification and classification of cancer cells.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Skin Neoplasms
/
Breast Neoplasms
/
Proteome
/
Cell Line, Tumor
/
Liver Neoplasms
/
Neoplasm Proteins
Limits:
Animals
/
Female
/
Humans
Language:
En
Journal:
Int J Mol Med
Journal subject:
BIOLOGIA MOLECULAR
/
GENETICA MEDICA
Year:
2017
Document type:
Article
Affiliation country:
Romania