Dataset Information

Proteomic analysis of extracellular vesicles derived from Merkel cell carcinoma cell lines

ABSTRACT: Exosomes constitute an evolutionary conserved mechanism of intercellular signaling. Their importance are gaining increasing such as prognostic and diagnostic markers, and potential therapeutic tool. Merkel cell carcinoma (MCC) is an aggressive form of skin cancer with a poor prognosis. There are not available an effective systemic treatment for this type of cancer, and exosome-based therapy was proposed. We identified with high confident 164 exosome-derived proteins that were common for all four cell lines, which were annotated in ExoCarta and Vesiclepedia databases. This list includes proteins implicated in motility, metastasis and tumor progression.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Permanent Cell Line Cell, Cell Culture

SUBMITTER: Jack-Ansgar Bruun

LAB HEAD: Ugo Moens

PROVIDER: PXD004198 | Pride | 2016-08-08

REPOSITORIES: Pride

ACCESS DATA

Dataset's files

Source:

			Action	DRS
	150917_AKonstantinell_MCC13_exo.msf	Msf
	150917_AKonstantinell_MCC13_exo.raw	Raw
	150917_AKonstantinell_MCC26_exo.msf	Msf
	150917_AKonstantinell_MCC26_exo.raw	Raw
	150917_AKonstantinell_MKL1_exo.msf	Msf

Items per page:

1 - 5 of 40

Publications

Secretomic analysis of extracellular vesicles originating from polyomavirus-negative and polyomavirus-positive Merkel cell carcinoma cell lines.

Konstantinell Aelita A Bruun Jack-Ansgar JA Olsen Randi R Aspar Augusta A Škalko-Basnet Nataša N Sveinbjørnsson Baldur B Moens Ugo U

Proteomics 20160905 19

Extracellular vesicles or exosomes constitute an evolutionarily conserved mechanism of intercellular signaling. Exosomes are gaining an increasing amount of attention due to their role in pathologies, including malignancy, their importance as prognostic and diagnostic markers, and their potential as a therapeutic tool. Merkel cell carcinoma (MCC) is an aggressive form of skin cancer with a poor prognosis. Because an effective systemic treatment for this cancer type is currently not available, an ...[more]

PMID: 27402257

Similar Datasets

Project description:Merkel cell carcinoma (MCC) is an aggressive cutaneous neuroendocrine tumor with high mortality rates. Merkel cell polyomavirus (MCPyV), identified in the majority of MCC, may drive tumorigenesis via viral T antigens. However, mechanisms underlying pathogenesis in MCPyV-negative MCC remain poorly understood. To nominate genes contributing to pathogenesis of MCPyV-negative MCC, we performed DNA microarray analysis on 30 MCCs. MCPyV status of MCCs was determined by PCR for viral DNA and RNA. 1593 probe-sets were differentially expressed between MCPyV-negative and -positive MCC, with significant differential expression defined as at least 2-fold change in either direction and p-value of ≤ 0.05. MCPyV-negative tumors showed decreased RB1 expression, whereas MCPyV-positive tumors were enriched for immune response genes. Validation studies included immunohistochemistry demonstration of decreased RB protein expression in MCPyV-negative tumors and increased peritumoral CD8+ T lymphocytes surrounding MCPyV-positive tumors. In conclusion, our data suggest that loss of RB1 expression may play an important role in tumorigenesis of MCPyV-negative MCC. Functional and clinical validation studies are needed to determine whether this tumor suppressor pathway represents an avenue for targeted therapy. We used microarrays to characterize global gene expression patterns related to Merkel cell polyomavirus status in Merkel cell carcinoma. Furthermore, we compared Merkel cell carcinoma to less aggressive primary cutaneous carcinomas. We utilized flash-frozen tumor tissue from primary Merkel cell carcinomas, metastatic Merkel cell carcinomas, primary cutaneous squamous cell carcinomas, and basal cell carcinomas. Merkel cell carcinoma cell lines, which represent a pure population of tumor cells, were also included. Merkel cell polyomavirus status was determined at the DNA and RNA level using multiple primers for viral T-antigen and capsid protein sequences. This Series represents two analyses - one with new Samples normalized together, and another with some of the new Samples re-normalized with Samples previously submitted under Series GSE13355. The latter group contain 'renormalized' in the titles.