Surface Functionalities of Gold Nanoparticles (AuNPs) Impacts Embryonic Gene Expression Responses
Ontology highlight
ABSTRACT:
ORGANISM(S): Danio rerio
PROVIDER: GSE30275 | GEO | 2012/01/31
SECONDARY ACCESSION(S): PRJNA143739
REPOSITORIES: GEO
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Project description:Investigation of whole genome expression pattern of 24 and 48 hours post fertilization Danio Rerio embryos exposed to 1.5nm MES- and TMAT- AuNPs. TMAT is a positively charged (cationic) ligand, and MES is a negatively charged (anionic) ligand. Embryos were exposed to 10ug/mL of 1.5nm TMAT-AuNPs, 50ug/mL of 1.5nm MES-AuNPs or control from 6hpf to 24 or 48 hpf. Three replicates were collected for each time point. 40 embryos were pooled to comprise a replicate.
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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.
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Project description:Superparamagnetic nanoparticles (SPMNPs) are appealing for use in organelle isolation strategies. Yet, this potential remains largely unexplored because thus far research has focused on either physicochemical design or on their application in micron-sized beads. For their use in life sciences, the biocompatibility of SPMNPs goes beyond their chemical composition and shape, and features like their size and more importantly their surface properties are becoming more important to exploit extra- and intracellular interactions. Here we introduce thermal decomposition to manufacture iron oxide based SPMNPs (Ø10nm) and demonstrate how different surface functionalizations can lead to different types of cellular interactions. Cationic aminolipid-coated SPMNPs reside surprisingly strong at the outer cell surface. In contrast, anionic dimercaptosuccinic acid-coated SPMNPs are efficiently internalized and accumulate in a time-dependent manner in endosomal and lysosomal populations. These features allowed us to establish a standardized magnetic isolation procedure to selectively isolate plasma membranes and intracellular late endosomes/lysosomes with high yields and purities as consolidated by biochemical and ultrastructural analyses. Subsequent quantitative and qualitative proteome analysis underpins the overall high enrichment for hydrophobic (membrane) proteins as well as plasma membrane and lysosomal constituents in the respective purified fractions. This nano based technology provides therefore a breakthrough in the field of subcellular ‘omics’ as it allows the identification of subtle alterations in the biomolecular composition of different SPMNP-isolated compartments that would be otherwise not detected in total cell or tissue analysis.
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Project description:Lake trout are used as bioindicators for toxics exposure in the Great Lakes ecosystem. However, there is no knowledge about lake trout proteome. Here we performed the first lake trout (Salvelinus namaycush) liver proteomics and searched the databases against (NCBI and UniProtKB) Salvelinus, Salmonidae, Actinopterygii and the more distant Danio rerio. In the NCBI search, we identified 4371 proteins in 1252 clusters. From these proteins, we found 2175 proteins in Actinopterygii 1253 in Salmonidae, 69 in Salvelinus and 901 in Danio rerio NCBI searches. In the UniProtKB search, we identified 2630 proteins in 1100 clusters. From these proteins, we found 317 in Actinopterygii, 1653 in Salmonidae, 37 in Salvelinus and 666 in Danio rerio UniProtKB searches. A similar outcome was also obtained from a technical replicate experiment. A large number of lake trout liver proteins were not in any Salvelinus databases, suggesting that lake trout liver proteins have homologues to some proteins from the Salmonidae family and Actinopterygii class, as well as to the species Danio rerio, a more highly studied Cypriniformes fish. Therefore, our study not only builds the first comprehensive lake trout protein database, but also establishes protein homology-based evolutionary relationships between the fish within their family and class, as well as distant-related fish (lake trout and zebrafish). In addition, this study opens the possibility of identifying evolutionary relationships (i.e. adaptive mutations) between various groups (i.e. zebrafish, Salmonidae, Salvelinus and lake trout) through evolutionary proteomics
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