Ontology highlight
ABSTRACT:
PROVIDER: PRJNA859540 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Emberiza elegans isolate:IOZ_CQ18213 Genome sequencing and assembly
| PRJNA778594 | ENA
Project description:C. elegans complete proteome using Gel LC-MS. We compare the proeome of dauer and L3 larval stages
2024-05-22 | PXD048087 | Pride
Project description:Whole-genome metabolic reconstructions for the model organism Caenorhabditis elegans.
2018-12-10 | MODEL1807230002 | BioModels
Project description:Yilmaz2016 - Genome scale metabolic model -
Caenorhabditis elegans (iCEL1273)
This model is described in the article:
A Caenorhabditis elegans
Genome-Scale Metabolic Network Model.
Yilmaz LS, Walhout AJ.
Cell Syst 2016 May; 2(5): 297-311
Abstract:
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.
This model is hosted on
BioModels Database
and identified by:
MODEL1604210000.
To cite BioModels Database, please use:
BioModels Database:
An enhanced, curated and annotated resource for published
quantitative kinetic models.
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to
the public domain worldwide. Please refer to
CC0
Public Domain Dedication for more information.
2016-11-03 | MODEL1604210000 | BioModels
Project description:Gebauer2016 - Genome-scale model of
Caenorhabditis elegans metabolism (without bacteria)
This model is one of the two versions
of ElegCyc presented in the paper. It describes the metabolism of a
worm raised in a medium without bacteria.
This model is described in the article:
A Genome-Scale Database and
Reconstruction of Caenorhabditis elegans Metabolism.
Gebauer J, Gentsch C, Mansfeld J,
Schmeißer K, Waschina S, Brandes S, Klimmasch L, Zamboni N,
Zarse K, Schuster S, Ristow M, Schäuble S, Kaleta C.
Cell Syst 2016 May; 2(5): 312-322
Abstract:
We present a genome-scale model of Caenorhabditis elegans
metabolism along with the public database ElegCyc
(http://elegcyc.bioinf.uni-jena.de:1100), which represents a
reference for metabolic pathways in the worm and allows for the
visualization as well as analysis of omics datasets.
Our model reflects the metabolic peculiarities of
C. elegans that make it distinct from other higher
eukaryotes and mammals, including mice and humans. We
experimentally verify one of these peculiarities by showing
that the lifespan-extending effect of L-tryptophan
supplementation is dose dependent (hormetic). Finally, we show
the utility of our model for analyzing omics datasets through
predicting changes in amino acid concentrations after genetic
perturbations and analyzing metabolic changes during normal
aging as well as during two distinct, reactive oxygen
species (ROS)-related lifespan-extending treatments. Our
analyses reveal a notable similarity in metabolic adaptation
between distinct lifespan-extending interventions and point to
key pathways affecting lifespan in nematodes.
This model is hosted on
BioModels Database
and identified by:
MODEL1704200000.
To cite BioModels Database, please use:
BioModels Database:
An enhanced, curated and annotated resource for published
quantitative kinetic models.
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to
the public domain worldwide. Please refer to
CC0
Public Domain Dedication for more information.
2017-04-20 | MODEL1704200000 | BioModels