Systematic transcriptome analysis associated with physiological and chronological aging in Caenorhabditis elegans
Ontology highlight
ABSTRACT:
ORGANISM(S): Caenorhabditis elegans
PROVIDER: GSE190068 | GEO | 2022/10/04
REPOSITORIES: GEO
Similar Datasets
Project description:This SuperSeries is composed of the following subset Series: GSE21008: Linking toxicant physiological mode of action with induced gene expression changes in Caenorhabditis elegans: atrazine GSE21010: Linking toxicant physiological mode of action with induced gene expression changes in Caenorhabditis elegans: cadmium GSE21011: Linking toxicant physiological mode of action with induced gene expression changes in Caenorhabditis elegans: fluoranthene Refer to individual Series
2010-03-23 | E-GEOD-21012 | biostudies-arrayexpress
Project description:This dataset consists of 20 proteomics raw files of two Caenorhabditis elegans strains: N2 and CB4856 under two conditions.
2021-12-28 | MSV000088622 | MassIVE
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.
2017-04-20 | MODEL1704200001 | 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
Project description:Caenorhabditis elegans Genome sequencing
| PRJNA318647 | ENA
Project description:Caenorhabditis elegans Genome sequencing
| PRJNA607689 | ENA