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Quantitative proteome analysis of Merkel cell carcinoma cell lines using SILAC
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 analysi...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6921584/ https://www.ncbi.nlm.nih.gov/pubmed/31889939 http://dx.doi.org/10.1186/s12014-019-9263-z |
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author | Kotowski, Ulana Erović, Boban M. Schnöll, Julia Stanek, Victoria Janik, Stefan Steurer, Martin Mitulović, Goran |
author_facet | Kotowski, Ulana Erović, Boban M. Schnöll, Julia Stanek, Victoria Janik, Stefan Steurer, Martin Mitulović, Goran |
author_sort | Kotowski, Ulana |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6921584 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-69215842019-12-30 Quantitative proteome analysis of Merkel cell carcinoma cell lines using SILAC Kotowski, Ulana Erović, Boban M. Schnöll, Julia Stanek, Victoria Janik, Stefan Steurer, Martin Mitulović, Goran Clin Proteomics Research 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. BioMed Central 2019-12-19 /pmc/articles/PMC6921584/ /pubmed/31889939 http://dx.doi.org/10.1186/s12014-019-9263-z Text en © The Author(s) 2019 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Kotowski, Ulana Erović, Boban M. Schnöll, Julia Stanek, Victoria Janik, Stefan Steurer, Martin Mitulović, Goran Quantitative proteome analysis of Merkel cell carcinoma cell lines using SILAC |
title | Quantitative proteome analysis of Merkel cell carcinoma cell lines using SILAC |
title_full | Quantitative proteome analysis of Merkel cell carcinoma cell lines using SILAC |
title_fullStr | Quantitative proteome analysis of Merkel cell carcinoma cell lines using SILAC |
title_full_unstemmed | Quantitative proteome analysis of Merkel cell carcinoma cell lines using SILAC |
title_short | Quantitative proteome analysis of Merkel cell carcinoma cell lines using SILAC |
title_sort | quantitative proteome analysis of merkel cell carcinoma cell lines using silac |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6921584/ https://www.ncbi.nlm.nih.gov/pubmed/31889939 http://dx.doi.org/10.1186/s12014-019-9263-z |
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