Quantitative proteome analysis of Merkel cell carcinoma cell lines using SILAC
Autor: | Ulana Kotowski, Victoria Stanek, Boban M. Erovic, Martin Steurer, Stefan Janik, Goran Mitulović, Julia Schnöll |
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Rok vydání: | 2019 |
Předmět: |
Proteomics
0301 basic medicine Clinical Biochemistry SILAC 03 medical and health sciences Merkel cell carcinoma 0302 clinical medicine Stable isotope labeling by amino acids in cell culture Histone H2A medicine Molecular Biology Histone variants Chemistry Research food and beverages General Medicine medicine.disease Cell biology HaCaT 030104 developmental biology Cell culture 030220 oncology & carcinogenesis Proteome Molecular Medicine Immortalised cell line Quantitative |
Zdroj: | Clinical Proteomics |
ISSN: | 1559-0275 1542-6416 |
DOI: | 10.1186/s12014-019-9263-z |
Popis: | Background Merkel cell carcinoma (MCC) is an aggressive neuroendocrine tumour of the skin with growing incidence. To better understand the biology of this malignant disease, immortalized cell lines are used in research for in vitro experiments. However, a comprehensive quantitative proteome analysis of these cell lines has not been performed so far. Methods Stable isotope labelling by amino acids in cell culture (SILAC) was applied to six MCC cell lines (BroLi, MKL-1, MKL-2, PeTa, WaGa, and MCC13). Following tryptic digest of labelled proteins, peptides were analysed by mass spectrometry. Proteome patterns of MCC cell lines were compared to the proteome profile of an immortalized keratinocyte cell line (HaCaT). Results In total, 142 proteins were upregulated and 43 proteins were downregulated. Altered proteins included mitoferrin-1, histone H2A type 1-H, protein-arginine deiminase type-6, heterogeneous nuclear ribonucleoproteins A2/B1, protein SLX4IP and clathrin light chain B. Furthermore, several proteins of the histone family and their variants were highly abundant in MCC cell lines. Conclusions The results of this study present a new protein map of MCC and provide deeper insights in the biology of MCC. Data are available via ProteomeXchange with identifier PXD008181. |
Databáze: | OpenAIRE |
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