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.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117 Int+J+Mol+Med
2017 ; 40
(4
): 1096-1104
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Classification of cancer cell lines using matrix-assisted laser
desorption/ionization time?of?flight mass spectrometry and statistical analysis
#MMPMID28765873
Serafim V
; Shah A
; Puiu M
; Andreescu N
; Coricovac D
; Nosyrev A
; Spandidos DA
; Tsatsakis AM
; Dehelean C
; Pinzaru I
Int J Mol Med
2017[Oct]; 40
(4
): 1096-1104
PMID28765873
show ga
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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