From mouse to humans: detecting preventing vaccination targets associated to melanoma cancer stem cells. Gene-level analysis: TUBO
Transcriptomics Dataset
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General Information
AccessionGSE60648
TitleFrom mouse to humans: detecting preventing vaccination targets associated to melanoma cancer stem cells. Gene-level analysis: TUBO
DescriptionThe efficacy of cancer treatments have improved constantly in the last decade. However, therapeutic resistance and the lack of curative treatments in metastatic disease, raises the question if conventional anticancer therapies target the right cells. Indeed, these treatments might miss cancer stem cells (CSCs), which might also represent a more chemoresistant and radioresistant subpopulation within cancer. In this view using vaccines in tertiary prevention of cancer, i.e. residual disease treatment, might be particularly effective if vaccine-elicited immune response is directed against CSC oncoantigens (OAs) proteins required for the neoplastic process the chance that the tumour will evade the vaccine should be reduced. An important task to devise effective CSC preventive vaccines is therefore the identification of CSC OAs. We used gene-level transcription profiling of TUBO mouse breast cancer epithelial cell and one mammosphere passage (P1). This analysis allowed the identification of some interesting CSC OAs which are undergoing further studies.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE60648
RepositoryGene Expression Omnibus
Tools used to analyze the dataset

Dataset Accession

ARCHS4
Published September 2017
ARCHS4 provides access to gene counts from HiSeq 2000 and HiSeq 2500 platforms for human and mouse experiments from GEO ...
4645
Clustergrammer
Published October 2017
Web-based tool for visualizing and analyzing high-dimensional data as interactive and shareable heatmaps
4645
Canned Analyses generated with the dataset

Dataset Accession
Tool Name

Interactive heatmap visualization of RNA-seq dataset GSE60648
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
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