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Caenorhabditis elegans

ABSTRACT: Fast genetic mapping of complex traits in C. elegans using millions of individuals in bulk

PROVIDER: PRJNA529922 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR8816410_1.fastq.gz	Fastqsanger.gz
	SRR8816410_2.fastq.gz	Fastqsanger.gz
	SRR8816420_1.fastq.gz	Fastqsanger.gz
	SRR8816420_2.fastq.gz	Fastqsanger.gz
	SRR8816430_1.fastq.gz	Fastqsanger.gz

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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.

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