RNA-seq analysis of Caenorhabditis elegans Transcriptomes after fed with D-mannose
Ontology highlight
ABSTRACT:
ORGANISM(S): Caenorhabditis elegans
PROVIDER: GSE192579 | GEO | 2023/09/01
REPOSITORIES: GEO
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This model is one of the two versions
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A Genome-Scale Database and
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Abstract:
We present a genome-scale model of Caenorhabditis elegans
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(http://elegcyc.bioinf.uni-jena.de:1100), which represents a
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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
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perturbations and analyzing metabolic changes during normal
aging as well as during two distinct, reactive oxygen
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analyses reveal a notable similarity in metabolic adaptation
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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.
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Project description:Gebauer2016 - Genome-scale model of
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This model is described in the article:
A Genome-Scale Database and
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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
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(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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