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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, MS-1, and WaGa) MCC cell lines. In total 4898 proteins were identified, of which 3312 were differentially expressed between the virus-negative and virus-positive cell lines. The viral oncoproteins large T- and small t-antigens were detected in the MCPyV-positive cells, but also in exosomes derived from these cells. Our proteomic data may identify unique biomarkers for MCPyV-negative and –positive MCCs and may allow the design of specific therapeutic strategies against the two types of MCC with a different origin. Moreover, our results suggest that exosomal transmission of MCPyV oncoproteins to recipient cells in the tumor microenvironment contributes to tumorigenesis. Data are available via ProteomeXchange with identifier PXD012909.","citation:dsDescriptionDate":"2019-04-01"}],"citation:datasetContact":{"citation:datasetContactName":"Konstantinell, Aelita Gloria Virginia","citation:datasetContactAffiliation":"UiT The Arctic University of Norway","citation:datasetContactEmail":"aelita.g.konstantinell@uit.no"},"citation:distributor":{"citation:distributorName":"UiT The Arctic University of Norway","citation:distributorAffiliation":"UiT The Arctic University of Norway","citation:distributorURL":"https://dataverse.no/dataverse/uit"},"citation:keyword":[{"citation:keywordValue":"Merkel cell carcinoma"},{"citation:keywordValue":"Merkel cell polyomavirus"},{"citation:keywordValue":"Merkel cell carcinoma cell lines"},{"citation:keywordValue":"exosome"},{"citation:keywordValue":"proteomics"}],"citation:producer":{"citation:producerName":"UiT The Arctic University of Norway","citation:producerAbbreviation":"UiT","citation:producerURL":"https://en.uit.no/"},"publication":{"publicationCitation":"Konstantinell, Aelita Gloria Virginia. Comparative and intergrated analyses of polyomavirus-negative and -positive Merkel cell carcinoma cell lines and their exosomes proteomic studies (manuscript). In: Konstantinell, Aelita Gloria Virginia, 2019. Biomarkers Discovery: The Benefit of the Study Exosomes Originated from Merkel Cell Carcinoma Cell Lines. Ph.D. thesis, UiT The Arctic University of Norway, 30.08.2019.","publicationIDType":"handle","publicationIDNumber":"10037/16149","publicationURL":"https://hdl.handle.net/10037/16149"},"biomedical:studyAssayPlatform":"6140 Quadrupole LC/MS (Agilent)","subject":"Medicine, Health and Life Sciences","biomedical:studyAssayTechnologyType":["gel electrophoresis","mass spectrometry"],"biomedical:studyFactorType":"Biomarkers","biomedical:studyAssayOrganism":"Homo sapiens","biomedical:studyAssayCellType":"Merkel cell polyomavirus-negative (MCC13, MCC26, and UISO) and -positive (MKL1, MKL2, MS1, and WaGa) Merkel cell carcinoma cell lines","biomedical:studyAssayMeasurementType":["protein expression profiling","protein identification"],"relatedDatasets":"Biomarkers Discovery: The Benefit of the Study Exosomes Originated from Merkel Cell Carcinoma Cell Lines. doi: 10.18710/KCW912.","biomedical:studyDesignType":"Not Specified","kindOfData":"Experimental data","citation:depositor":"Konstantinell, Aelita Gloria Virginia","title":"Replication Data for: Comparative and integrated analyses of polyomavirus-negative and -positive Merkel cell carcinoma cell lines and their exosomes proteomic studies","dateOfDeposit":"2019-04-01","language":"English","@id":"https://doi.org/10.18710/OGQOQW","@type":["ore:Aggregation","schema:Dataset"],"schema:version":"1.2","schema:name":"Replication Data for: Comparative and integrated analyses of polyomavirus-negative and -positive Merkel cell carcinoma cell lines and their exosomes proteomic studies","schema:dateModified":"Wed Nov 01 12:25:18 GMT 2023","schema:datePublished":"2019-05-06","schema:license":"http://creativecommons.org/publicdomain/zero/1.0","dvcore:fileTermsOfAccess":{"dvcore:fileRequestAccess":true},"schema:includedInDataCatalog":"DataverseNO","schema:isPartOf":{"schema:name":"UiT The Arctic University of Norway","@id":"https://dataverse.no/dataverse/uit","schema:description":"Looking for TROLLing? 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