Dataset Information

CGH mapping of Genetic Deficiencies balanced by sDp3 on LGIII

ABSTRACT: Background: A collection of genetic deficiencies covering over 70% of the Caenorhabditis elegans genome exists, however the application of these valuable biological tools has been limited due to the incomplete correlation between their genetic and physical characterization. Results: We have applied oligonucleotide array Comparative Genomic Hybridization (oaCGH) to the high resolution, molecular characterization of several genetic deficiency and duplication strains in a 5Mb region of Chromosome III. We incorporate this data into a physical deficiency map which is subsequently used to direct the positional cloning of essential genes within the region. From this analysis we are able to quickly determine the molecular identity of several previously unidentified mutations. Conclusion: We have applied accurate, high resolution molecular analysis to the characterization of genetic mapping tools in Caenorhabditis elegans. Consequently we have generated a valuable physical mapping resource, which we have demonstrated can aid in the rapid molecular identification of mutations of interest. Keywords: C.elegans Deficiencies CGH

ORGANISM(S): Caenorhabditis elegans

PROVIDER: GSE9413 | GEO | 2007/10/23

SECONDARY ACCESSION(S): PRJNA103147

REPOSITORIES: GEO

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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.

Project description:Gebauer2016 - Genome-scale model of Caenorhabditis elegans metabolism (with 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 with 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: MODEL1704200001. 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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CGH mapping of Genetic Deficiencies balanced by sDp3 on LGIII

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