Show simple item record

dc.contributor.authorYilmaz, L. Safak
dc.contributor.authorWalhout, Albertha J. M.
dc.date2022-08-11T08:11:00.000
dc.date.accessioned2022-08-23T17:27:54Z
dc.date.available2022-08-23T17:27:54Z
dc.date.issued2016-05-25
dc.date.submitted2016-07-12
dc.identifier.citationCell Syst. 2016 May 25;2(5):297-311. doi: 10.1016/j.cels.2016.04.012. Epub 2016 May 19. <a href="http://dx.doi.org/10.1016/j.cels.2016.04.012">Link to article on publisher's site</a>
dc.identifier.issn2405-4712 (Linking)
dc.identifier.doi10.1016/j.cels.2016.04.012
dc.identifier.pmid27211857
dc.identifier.urihttp://hdl.handle.net/20.500.14038/49966
dc.description.abstractCaenorhabditis elegans is a powerful model to study metabolism and how it relates to nutrition, gene expression, and life history traits. However, while numerous experimental techniques that enable perturbation of its diet and gene function are available, a high-quality metabolic network model has been lacking. Here, we reconstruct an initial version of the C. elegans metabolic network. This network model contains 1,273 genes, 623 enzymes, and 1,985 metabolic reactions and is referred to as iCEL1273. Using flux balance analysis, we show that iCEL1273 is capable of representing the conversion of bacterial biomass into C. elegans biomass during growth and enables the predictions of gene essentiality and other phenotypes. In addition, we demonstrate that gene expression data can be integrated with the model by comparing metabolic rewiring in dauer animals versus growing larvae. iCEL1273 is available at a dedicated website (wormflux.umassmed.edu) and will enable the unraveling of the mechanisms by which different macro- and micronutrients contribute to the animal's physiology.
dc.language.isoen_US
dc.relation<a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=27211857&dopt=Abstract">Link to Article in PubMed</a>
dc.relation.urlhttp://dx.doi.org/10.1016/j.cels.2016.04.012
dc.subjectCellular and Molecular Physiology
dc.subjectComputational Biology
dc.subjectGenomics
dc.subjectSystems and Integrative Physiology
dc.subjectSystems Biology
dc.titleA Caenorhabditis elegans Genome-Scale Metabolic Network Model
dc.typeJournal Article
dc.source.journaltitleCell systems
dc.source.volume2
dc.source.issue5
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/sysbio_pubs/89
dc.identifier.contextkey8826723
html.description.abstract<p>Caenorhabditis elegans is a powerful model to study metabolism and how it relates to nutrition, gene expression, and life history traits. However, while numerous experimental techniques that enable perturbation of its diet and gene function are available, a high-quality metabolic network model has been lacking. Here, we reconstruct an initial version of the C. elegans metabolic network. This network model contains 1,273 genes, 623 enzymes, and 1,985 metabolic reactions and is referred to as iCEL1273. Using flux balance analysis, we show that iCEL1273 is capable of representing the conversion of bacterial biomass into C. elegans biomass during growth and enables the predictions of gene essentiality and other phenotypes. In addition, we demonstrate that gene expression data can be integrated with the model by comparing metabolic rewiring in dauer animals versus growing larvae. iCEL1273 is available at a dedicated website (wormflux.umassmed.edu) and will enable the unraveling of the mechanisms by which different macro- and micronutrients contribute to the animal's physiology.</p>
dc.identifier.submissionpathsysbio_pubs/89
dc.contributor.departmentUMass Metabolic Network
dc.contributor.departmentProgram in Molecular Medicine
dc.contributor.departmentProgram in Systems Biology
dc.source.pages297-311


Files in this item

Thumbnail
Name:
Publisher version

This item appears in the following Collection(s)

Show simple item record