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MERAV: a tool for comparing gene expression across human tissues and cell types
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 ess...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4702927/ https://www.ncbi.nlm.nih.gov/pubmed/26626150 http://dx.doi.org/10.1093/nar/gkv1337 |
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author | Shaul, Yoav D. Yuan, Bingbing Thiru, Prathapan Nutter-Upham, Andy McCallum, Scott Lanzkron, Carolyn Bell, George W. Sabatini, David M. |
author_facet | Shaul, Yoav D. Yuan, Bingbing Thiru, Prathapan Nutter-Upham, Andy McCallum, Scott Lanzkron, Carolyn Bell, George W. Sabatini, David M. |
author_sort | Shaul, Yoav D. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4702927 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-47029272016-01-07 MERAV: a tool for comparing gene expression across human tissues and cell types Shaul, Yoav D. Yuan, Bingbing Thiru, Prathapan Nutter-Upham, Andy McCallum, Scott Lanzkron, Carolyn Bell, George W. Sabatini, David M. Nucleic Acids Res Database Issue 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. Oxford University Press 2016-01-04 2015-11-30 /pmc/articles/PMC4702927/ /pubmed/26626150 http://dx.doi.org/10.1093/nar/gkv1337 Text en © The Author(s) 2015. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Database Issue Shaul, Yoav D. Yuan, Bingbing Thiru, Prathapan Nutter-Upham, Andy McCallum, Scott Lanzkron, Carolyn Bell, George W. Sabatini, David M. MERAV: a tool for comparing gene expression across human tissues and cell types |
title | MERAV: a tool for comparing gene expression across human tissues and cell types |
title_full | MERAV: a tool for comparing gene expression across human tissues and cell types |
title_fullStr | MERAV: a tool for comparing gene expression across human tissues and cell types |
title_full_unstemmed | MERAV: a tool for comparing gene expression across human tissues and cell types |
title_short | MERAV: a tool for comparing gene expression across human tissues and cell types |
title_sort | merav: a tool for comparing gene expression across human tissues and cell types |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4702927/ https://www.ncbi.nlm.nih.gov/pubmed/26626150 http://dx.doi.org/10.1093/nar/gkv1337 |
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