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

作者：Shaul Yoav D^*; Yuan Bingbing; Thiru Prathapan; Nutter Upham Andy; McCallum Scott; Lanzkron Carolyn; Bell George W; Sabatini David M^*

来源：Nucleic Acids Research, 2016, 44(D1): D560-D566.

DOI：10.1093/nar/gkv1337

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.

• 出版日期2016-1-4
• 单位河北医科大学; MIT