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

Yoav D. Shaul*, Bingbing Yuan, Prathapan Thiru, Andy Nutter-Upham, Scott McCallum, Carolyn Lanzkron, George W. Bell, David M. Sabatini

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

94 Scopus citations

Abstract

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 ∼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.

Original languageAmerican English
Pages (from-to)D560-D566
JournalNucleic Acids Research
Volume44
Issue numberD1
DOIs
StatePublished - 2016

Bibliographical note

Publisher Copyright:
© The Author(s) 2015.

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