Similarities and Differences in the Protein Composition of Cutaneous Melanoma Cells and Their Exosomes Identified by Mass Spectrometry.
Magdalena SurmanUrszula JankowskaMagdalena WilczakMałgorzata PrzybyłoPublished in: Cancers (2023)
Intercellular transport of proteins mediated by extracellular vesicles (EVs)-exosomes and ectosomes-is one of the factors facilitating carcinogenesis. Therefore, the research on protein cargo of melanoma-derived EVs may provide a better understanding of the mechanisms involved in melanoma progression and contribute to the development of alternative biomarkers. Proteomic data on melanoma-derived EVs are very limited. The shotgun nanoLC-MS/MS approach was applied to analyze the protein composition of primary (WM115, WM793) and metastatic (WM266-4, WM1205Lu) cutaneous melanoma cells and exosomes released by them. All cells secreted homogeneous populations of exosomes that shared a characteristic set of proteins. In total, 3514 and 1234 unique proteins were identified in melanoma cells and exosomes, respectively. Gene ontology analysis showed enrichment in several cancer-related categories, including cell proliferation, migration, negative regulation of apoptosis, and angiogenesis. The obtained results broaden our knowledge on the role of selected proteins in exosome biology, as well as their functional role in the development and progression of cutaneous melanoma. The results may also inspire future studies on the clinical potential of exosomes.
Keyphrases
- mesenchymal stem cells
- stem cells
- cell proliferation
- ms ms
- mass spectrometry
- cell cycle arrest
- healthcare
- skin cancer
- small cell lung cancer
- squamous cell carcinoma
- cell death
- endoplasmic reticulum stress
- amino acid
- induced apoptosis
- machine learning
- binding protein
- current status
- vascular endothelial growth factor
- signaling pathway
- copy number
- dna methylation
- endothelial cells
- high performance liquid chromatography
- artificial intelligence
- genome wide
- risk assessment
- liquid chromatography tandem mass spectrometry
- transcription factor
- data analysis
- case control
- genome wide identification