Project description:This SuperSeries is composed of the following subset Series: GSE37163: Gene expression data from time course of fin regeneration in Danio rerio (part 1) GSE37164: Gene expression data from time course of fin regeneration in Danio rerio (part 2) Refer to individual Series
Project description:Zebrafish (Danio rerio) gutGFP transgenic embryos [Tg(XlEef1a1:GFP)s854] were collected at 4 time points: 2 days post fertilization (dpf), 3, dpf, 4 dpf, 6 dpf. Embryos were dissociated into single cells and sorted by FACS based on GFP expression. RNA was extracted from the different cell populations (Stratagene), amplified (NuGEN Ovation), and hybridized to Affymetrix Zebrafish GeneChips. Keywords: Time course.
Project description:Bekaert2012 - Reconstruction of D.rerio Metabolic Network
Danio rerio
metabolic model accounting for subcellular compartmentalisation (ZebraGEM)
This SBML representation of the D. rerio
(zebrafish) metabolic network is made available under the Creative Commons Attribution-Share Alike 3.0 Unported Licence (see www.creativecommons.org
).
This model is described in the article:
Reconstruction of Danio rerio Metabolic Model Accounting for Subcellular Compartmentalisation.
Bekaert M.
PLoS One. 2012;7(11):e49903.
Abstract:
Plant and microbial metabolic engineering is commonly used in the production of functional foods and quality trait improvement. Computational model-based approaches have been used in this important endeavour. However, to date, fish metabolic models have only been scarcely and partially developed, in marked contrast to their prominent success in metabolic engineering. In this study we present the reconstruction of fully compartmentalised models of the Danio rerio (zebrafish) on a global scale. This reconstruction involves extraction of known biochemical reactions in D. rerio for both primary and secondary metabolism and the implementation of methods for determining subcellular localisation and assignment of enzymes. The reconstructed model (ZebraGEM) is amenable for constraint-based modelling analysis, and accounts for 4,988 genes coding for 2,406 gene-associated reactions and only 418 non-gene-associated reactions. A set of computational validations (i.e., simulations of known metabolic functionalities and experimental data) strongly testifies to the predictive ability of the model. Overall, the reconstructed model is expected to lay down the foundations for computational-based rational design of fish metabolic engineering in aquaculture.
This model is hosted on BioModels Database
and identified by: MODEL1204120000
.
To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. PMID: 20587024
.
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>http://creativecommons.org/publicdomain/zero/1.0/] for more information.
Project description:Comparison of temporal small RNA gene expression profiles from Danio rerio brain. The smallRNA-seq data comprise 5 age groups at 6, 12, 24, 36 and 42 months. Jena Centre for Systems Biology of Ageing - JenAge (www.jenage.de)
Project description:Comparison of temporal small RNA gene expression profiles from Danio rerio skin. The smallRNA-seq data comprise 5 age groups at 6, 12, 24, 36 and 42 months. Jena Centre for Systems Biology of Ageing - JenAge (www.jenage.de)
Project description:We isolated total RNA from staged embryos at 2 hour intervals over a 24 h period. Total RNA from 8 h embryos was used as a reference for the time course. This expression study used a >16,000 oligonucleotide (65-mers) probe set from Compugen to examine changes in gene expression in wild-type Danio rerio during development, emphasizing the period of segmentation, when the nervous system is forming. Embryos were provided by Scientific Hatcheries.
Project description:Comparison of gene expression profiles from Danio rerio brain of wiltype and Tg-microRNA-sponge animals. The RNA-seq data comprise 3 groups. Jena Centre for Systems Biology of Ageing - JenAge (www.jenage.de)