4.6 Article

A transcriptional profiling meta-analysis reveals a core EWS-FLI gene expression signature

期刊

CELL CYCLE
卷 7, 期 2, 页码 250-256

出版社

TAYLOR & FRANCIS INC
DOI: 10.4161/cc.7.2.5229

关键词

ewing's sarcoma; EWS-FLI; meta-analysis; transcriptional profiling; microarray

资金

  1. NCI NIH HHS [K08 CA096755-07, P30 CA42014, K08 CA96755, K08 CA096755] Funding Source: Medline
  2. NIDDK NIH HHS [T32-DK007115] Funding Source: Medline

向作者/读者索取更多资源

Ewing's sarcomas are characterized by recurrent chromosomal translocations expressing EWS-ETS fusion proteins, the most common of which is EWS-FLI.(1-5) EWS-FLI is an oncogenic transcription factor that regulates genes involved in tumorigenesis. 6,7 Because the Ewing's sarcoma cell of origin remains unknown, a variety of model systems have been developed to study EWS-FLI fusions,(8-14) and multiple microarray experiments describing potential EWS-FLI target genes have been reported. 8,10,11,13,15-21 Each model has potential benefits and drawbacks, but a large-scale comparison of these has not been reported. Herein we report a meta-analysis of the genes that are dysregulated by EWS-FLI in Ewing's sarcoma model systems. In general, EWS-FLI gain-and loss-of-function models in human cell types were well correlated to patient-derived tumor samples, while murine models were not. Using frequency analysis of dysregulated genes across multiple model systems, we identified a conserved core EWS-FLI transcriptional signature. This signature contained many of the genes known to be involved in the tumorigenic phenotype of Ewing's sarcoma, and also contained genes that have not been previously reported. Comparisons between the core EWS-FLI signature and published mesenchymal stem cell data support the recent assertion that mesenchymal stem cells are likely the Ewing's sarcoma precursor cell. 15 These results demonstrate the utility of using comparative analysis to validate model systems and emphasize the unique potential of this approach to identify both oncogenic and background cell signatures.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据