MERAV: a tool for comparing gene expression across human tissues and cell types

被引:98
|
作者
Shaul, Yoav D. [1 ,2 ,3 ]
Yuan, Bingbing [1 ]
Thiru, Prathapan [1 ]
Nutter-Upham, Andy [1 ]
McCallum, Scott [1 ]
Lanzkron, Carolyn [1 ,4 ]
Bell, George W. [1 ]
Sabatini, David M. [1 ,2 ,4 ,5 ,6 ]
机构
[1] Whitehead Inst Biomed Res, 9 Cambridge Ctr, Cambridge, MA 02142 USA
[2] Koch Inst Integrat Canc Res, 77 Massachusetts Ave, Cambridge, MA 02139 USA
[3] Hebrew Univ Jerusalem, Hadassah Med Sch, Dept Biochem & Mol Biol, Inst Med Res Israel Canada, IL-91120 Jerusalem, Israel
[4] MIT, Dept Biol, 77 Massachusetts Ave, Cambridge, MA 02139 USA
[5] MIT, Dept Biol, Howard Hughes Med Inst, 77 Massachusetts Ave, Cambridge, MA 02139 USA
[6] Broad Inst, Cambridge, MA 02142 USA
基金
美国国家卫生研究院;
关键词
NCBI GEO; CANCER; MICROARRAY; DATABASE; INTEGRATION; COLLECTION; PATHWAYS; SURVIVAL; BIOGPS; LINES;
D O I
10.1093/nar/gkv1337
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The oncogenic transformation of normal cells into malignant, rapidly proliferating cells requires major alterations in cell physiology. For example, the transformed cells remodel their metabolic processes to supply the additional demand for cellular building blocks. We have recently demonstrated essential metabolic processes in tumor progression through the development of a methodological analysis of gene expression. Here, we present the Metabolic gEne RApid Visualizer (MERAV, http://merav.wi.mit.edu), a web-based tool that can query a database comprising similar to 4300 microarrays, representing human gene expression in normal tissues, cancer cell lines and primary tumors. MERAV has been designed as a powerful tool for whole genome analysis which offers multiple advantages: one can search many genes in parallel; compare gene expression among different tissue types as well as between normal and cancer cells; download raw data; and generate heatmaps; and finally, use its internal statistical tool. Most importantly, MERAV has been designed as a unique tool for analyzing metabolic processes as it includes matrixes specifically focused on metabolic genes and is linked to the Kyoto Encyclopedia of Genes and Genomes pathway search.
引用
收藏
页码:D560 / D566
页数:7
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