ArticleClinical proteomics2019
Quantitative proteome analysis of Merkel cell carcinoma cell lines using SILAC.
Article in Clinical proteomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed.
- Dual-species proteomics and targeted intervention of animal-pathogen interactions.Journal of advanced research · 2025Article
- The Role of Histone Post-Translational Modifications in Merkel Cell Carcinoma.Frontiers in oncology · 2022Review
- Epigenetic Dysregulations in Merkel Cell Polyomavirus-Driven Merkel Cell Carcinoma.International journal of molecular sciences · 2021Review
- Exploring the Structures and Functions of Macromolecular SLX4-Nuclease Complexes in Genome Stability.Frontiers in genetics · 2021Review
- Single-Molecule RNA Sequencing Reveals IFNγ-Induced Differential Expression of Immune Escape Genes in Merkel Cell Polyomavirus-Positive MCC Cell Lines.Frontiers in microbiology · 2021Article
- Proteomic Analysis of Porcine-Derived Collagen Membrane and Matrix.Materials (Basel, Switzerland) · 2020Article
- Recent advances in mass spectrometry based clinical proteomics: applications to cancer research.Clinical proteomics · 2020Review
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMerkel 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.
methodsStable 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).
resultsIn 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.
conclusionsThe 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.
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