Quantitative proteome analysis of Merkel cell carcinoma cell lines using SILAC

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 c...

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Bibliographic Details
Published in:Clinical proteomics 2019-12, Vol.16 (1), p.42-42, Article 42
Main Authors: Kotowski, Ulana, Erović, Boban M, Schnöll, Julia, Stanek, Victoria, Janik, Stefan, Steurer, Martin, Mitulović, Goran
Format: Article
Language:English
Subjects:
Amino acids
Analysis
Anopheles
Arginine
Cancer
Carcinoma
Clathrin
EDTA
Peptides
Proteins
Proteomics
Scientific equipment industry
Skin
Spectroscopy
Tumors
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Summary: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. 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). 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. 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.
ISSN:1542-6416
1559-0275
DOI:10.1186/s12014-019-9263-z