Replication Data for: Comparative and integrated analyses of polyomavirus-negative and -positive Merkel cell carcinoma cell lines and their  exosomes proteomic studies
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Abstract: Proteomics have become an important tool in discovery and understanding pathological processes at the cellular level. Comparing the proteome of normal cells with diseased (malignant and other pathological conditions) or pathogen-infected cells allows identification of proteins and processes involved in the disease and recognition of possible biomarkers and targets for treatment. Merkel cell carcinoma (MCC) is an aggressive type of cutaneous cancer that affects mostly elderly people. Approximately 80% of the tumors are caused by Merkel cell polyomavirus (MCPyV), while the remaining are caused by UV-induced mutations in the DNA of the cell. To understand the underlying mechanisms of virus-independent and virus-dependent MCC, we compared the proteome of MCPyV-negative (MCC13, MCC26, and UISO) and MCPyV-positive (MKL-1, MKL-2,' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["exosome","Merkel cell carcinoma","Merkel cell carcinoma cell lines","Merkel cell polyomavirus","proteomics"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Abstract: Proteomics have become an important tool in discovery and understanding pathological processes at the cellular level. Comparing the proteome of normal cells with diseased (malignant and other pathological conditions) or pathogen-infected cells allows identification of proteins and processes involved in the disease and recognition of possible biomarkers and targets for treatment. Merkel cell carcinoma (MCC) is an aggressive type of cutaneous cancer that affects mostly elderly people. Approximately 80% of the tumors are caused by Merkel cell polyomavirus (MCPyV), while the remaining are caused by UV-induced mutations in the DNA of the cell. To understand the underlying mechanisms of virus-independent and virus-dependent MCC, we compared the proteome of MCPyV-negative (MCC13, MCC26, and UISO) and MCPyV-positive (MKL-1, MKL-2,' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Abstract: Proteomics have become an important tool in discovery and understanding pathological processes at the cellular level. Comparing the proteome of normal cells with diseased (malignant and other pathological conditions) or pathogen-infected cells allows identification of proteins and processes involved in the disease and recognition of possible biomarkers and targets for treatment. Merkel cell carcinoma (MCC) is an aggressive type of cutaneous cancer that affects mostly elderly people. Approximately 80% of the tumors are caused by Merkel cell polyomavirus (MCPyV), while the remaining are caused by UV-induced mutations in the DNA of the cell. To understand the underlying mechanisms of virus-independent and virus-dependent MCC, we compared the proteome of MCPyV-negative (MCC13, MCC26, and UISO) and MCPyV-positive (MKL-1, MKL-2,
exosome; Merkel cell carcinoma; Merkel cell carcinoma cell lines; Merkel cell polyomavirus; proteomics