METAtarget – extracting key enzymes of metabolic regulation from high-throughput metabolomics data using KEGG REACTION information
| dc.contributor.author | Budczies, Jan | |
| dc.contributor.author | Denkert, Carsten | |
| dc.contributor.author | Müller, Berit M. | |
| dc.contributor.author | Brockmöller, Scarlet F. | |
| dc.contributor.author | Dietel, Manfred | |
| dc.contributor.author | Griffin, Jules L. | |
| dc.contributor.author | Oresic, Matej | |
| dc.contributor.author | Fiehn, Oliver | |
| dc.contributor.editor | Schomburg, Dietmar | |
| dc.contributor.editor | Grote, Andreas | |
| dc.date.accessioned | 2019-01-17T10:57:29Z | |
| dc.date.available | 2019-01-17T10:57:29Z | |
| dc.date.issued | 2010 | |
| dc.description.abstract | METAtarget is a new method for reverse engineering of metabolic networks and the detection of targets enzymes from high-throughput metabolomics data. Using KEGG REACTION, reactant partners are identified and the ratio of product to substrate metabolite concentrations is employed as surrogate for the reaction activity. A test statistics is introduced to assess changes in the activity of reactions between different disease states. In an application of METAtarget to breast cancer, we investigate the dependence of tumor metabolism on hormone receptor status. To this end, we analyze metabolomics data that were generated within the METAcancer project and compare the identified reactions with data on enzyme expression that are obtained from publicly available breast cancer gene expression series. As result, deregulation of key enzymes and reactions of glycolysis, glutaminolysis and other metabolic pathways are detected. | en |
| dc.identifier.isbn | 978-3-88579-267-3 | |
| dc.identifier.pissn | 1617-5468 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/19665 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | German Conference on Bioinformatics 2010 | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-173 | |
| dc.title | METAtarget – extracting key enzymes of metabolic regulation from high-throughput metabolomics data using KEGG REACTION information | en |
| dc.type | Text/Conference Paper | |
| gi.citation.endPage | 112 | |
| gi.citation.publisherPlace | Bonn | |
| gi.citation.startPage | 103 | |
| gi.conference.date | September 20-22, 2010 | |
| gi.conference.location | Braunschweig | |
| gi.conference.sessiontitle | Regular Research Papers |
Dateien
Originalbündel
1 - 1 von 1