RNA Sequencing Quantitative Analysis of cell lines derived from tumours from two mouse models of human osteosarcoma that recapitulate clinically distinct human osteosarcoma subtypes.
Transcriptomics Dataset
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General Information
AccessionGSE58916
TitleRNA Sequencing Quantitative Analysis of cell lines derived from tumours from two mouse models of human osteosarcoma that recapitulate clinically distinct human osteosarcoma subtypes.
DescriptionPurpose: Osteosarcoma (OS) is the most common primary bone malignancy. OS consists of several subtypes including fibroblastic, osteoblastic and chondroblastic OS. We have developed genetically engineered mouse models of human OS that recapitulate two distinct subtypes, fibroblastic (Osx-CreLox p53-/- Rb-/-) and osteoblastic (Osx-Cre shRNA p53-/-) OS. The goal of this study was to identify transcriptional differences that distinguish the two subtypes. Methods: mRNA profiles of cell lines derived from tumours from Osx-Cre p53fl/fl Rbfl/fl (fibroblastic OS) and Osx-Cre shRNA TRE-p53.1224 pRbfl/fl (osteoblastic OS) mouse models were generated by RNA sequencing, in triplicate, using Illumina HiSeq2000. The sequence reads that passed quality filters were analyzed at the transcript level with TopHat followed by Cufflinks. Results: Using an optimized data analysis workflow, we mapped about 30 million sequence reads per sample to the mouse genome (build mm9) and identified 12,436 transcripts in the tumours of Osx-Cre p53fl/fl Rbfl/fl and 12,074 Osx-Cre shRNA TRE-p53.1224 pRbfl/fl with the TopHat workflow. RNA-seq data confirmed stable expression of 25 known housekeeping genes. Conclusions: Our study represents a detailed analysis of OS subtype transcriptomes generated by RNA-seq technology.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE58916
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
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Tool Name
Interactive heatmap visualization of RNA-seq dataset GSE58916
ARCHS4, Clustergrammer
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
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