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Proteome profiling of keratinocytes transforming to malignancy
Authors:Verena Paulitschke  Christopher Gerner  Elisabeth Hofstätter  Thomas Mohr  Rupert Laurenz Mayer  Hubert Pehamberger  Rainer Kunstfeld
Institution:1. Department of Dermatology, Medical University of Vienna, Vienna, Austria;2. Institute of Analytical Chemistry, University of Vienna, Vienna, Austria;3. Department of Medicine I, Medical University of Vienna, Vienna, Austria
Abstract:To shed light on the multistep process of squamous cell carcinoma development and the underlying pathologic mechanisms, we performed comparative proteome analysis of keratinocytes, keratinocytes stimulated with Il‐1beta, and A431 epidermoid carcinoma cells. Fractionation of the cells into supernatant, nucleus, and cytoplasm was followed by protein separation, proteolytic digest, and nano‐LC separation, and fragmentation using an ion trap mass spectrometer. Specific bioinformatics tools were used to generate a list of keratinocyte‐specific proteins. Ninety percent of these proteins were found to be upregulated in keratinocytes versus the A431 cells. Classification of the identified proteins by biologic function and gene set enrichment analysis revealed that keratinocytes produced more proteins involved in cell differentiation, cell adhesion, cell junction, calcium ion, calmodulin binding, cytoskeleton organization, and cytokinesis, whereas A431 produced more proteins involved in cell cycle checkpoint, cell cycle process, RNA processing and transport, DNA damage and repair, RNA and DNA binding, and chromatin remodeling. The protein signatures of A431 and normal keratinocytes treated with IL‐1beta showed marked similarity, confirming that inflammation is an important step in malignant transformation in nonmelanoma skin cancer. Thus, proteome profiling and bioinformatic processing may support the understanding of the underlying mechanisms, with the potential to facilitate development of early biomarkers and patient‐tailored therapy.
Keywords:Bioinformatics  Carcinogenesis  Cell type specific signatures  Primary human cells  Proteome profiling
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