STUDY OF TUSC3 GENE CHANGES IN OVARIAN CANCER CELLS USING MASS SPECTROMETRY COUPLED WITH
                                      BIOSTATISTICAL METHODS


            Lukáš PEČINKA^ 1,2; Lukáš MORÁŇ^3,4; Petr VAŇHARA^2, 3;^ Josef HAVEL^1, 2^*

^1 Faculty of Science, Masaryk University, Brno, Czech Republic,^ 2 International Clinical Research
Center, St. Anne's University Hospital Brno, Brno, Czech Republic; ^3 Faculty of Medicine, Masaryk
   University, Brno, Czech Republic; ^4 Regional Centre for Applied Molecular Oncology (RECAMO),
           Masaryk Memorial Cancer Institute, Žlutý kopec 7, 656 53 Brno, Czech Republic


Tumor Suppressor Candidate 3 (TUSC3) gene is a subunit of enzymatic complex
(oligosaccharyltransferase) responsible for the N-glycosylation of proteins. Loss of TUSC3
expresion in ovarian cancer cells promotes aggressiveness of the disease (increase invasion and
spreading) and limits survival of patients. In cultured cells, it induces profound phenotypical
changes, most probably due to alterations in the glycoproteome. In vitro silencing TUSC3 gene
causes possibility to study different ovarian cell types, expression proteins, and their
post-translational modification. Changes in mass spectra profiles are reflecting changes in the
inner cellular environment allowed discrimination using multivariate statistical methods or
classification via self-learning approaches e.g. artificial neural networks (ANN) [1]. As model 2
human and 2 mouse ovarian cancer cell lines were selected. The mass spectra obtained from intact
cells with or without TUSC3 silencing were post-processed and evaluated using the R Studio.


Acknowledgements

The work was supported by Masaryk University (project no. MUNI/A/1421/2019) and Ministry of Health
of the Czech Republic, (grant no. NV18-08-00299. All rights reserved).


[1] Vaňhara P, Kučera L, Prokeš L, Jurečková L, Peña-Méndez EM, Havel J, Hampl A. Intact Cell Mass
Spectrometry as a Quality Control Tool for Revealing Minute Phenotypic Changes of Cultured Human
Embryonic Stem Cells. Stem Cells Transl. Med. 2018. 7(1):109-114. doi: 10.1002/sctm.17-0107