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1.
PLoS Comput Biol ; 7(8): e1002126, 2011 Aug.
Article in English | MEDLINE | ID: mdl-21901081

ABSTRACT

The acquisition and analysis of datasets including multi-level omics and physiology from non-model species, sampled from field populations, is a formidable challenge, which so far has prevented the application of systems biology approaches. If successful, these could contribute enormously to improving our understanding of how populations of living organisms adapt to environmental stressors relating to, for example, pollution and climate. Here we describe the first application of a network inference approach integrating transcriptional, metabolic and phenotypic information representative of wild populations of the European flounder fish, sampled at seven estuarine locations in northern Europe with different degrees and profiles of chemical contaminants. We identified network modules, whose activity was predictive of environmental exposure and represented a link between molecular and morphometric indices. These sub-networks represented both known and candidate novel adverse outcome pathways representative of several aspects of human liver pathophysiology such as liver hyperplasia, fibrosis, and hepatocellular carcinoma. At the molecular level these pathways were linked to TNF alpha, TGF beta, PDGF, AGT and VEGF signalling. More generally, this pioneering study has important implications as it can be applied to model molecular mechanisms of compensatory adaptation to a wide range of scenarios in wild populations.


Subject(s)
Ecosystem , Metabolomics/methods , Models, Biological , Systems Biology/methods , Analysis of Variance , Animals , Cluster Analysis , Environmental Exposure , Flounder , Gene Expression Regulation , Gene Regulatory Networks , Geologic Sediments , Humans , Liver/drug effects , Liver/metabolism , Metabolic Networks and Pathways , Transcriptome
2.
J Biol Chem ; 277(4): 2666-73, 2002 Jan 25.
Article in English | MEDLINE | ID: mdl-11714697

ABSTRACT

It has been shown previously that the long chain fragments of heparin bind to the beta-strand cationic belt of the three-finger cobra cardiotoxin (or cytotoxin, CTX) and hence enhance its penetration into phospholipid monolayer under physiological ionic conditions. By taking lysophosphatidylcholine (LPC) micelles as a membrane model, we have shown by (1)H NMR study that the binding of heparin-derived hexasaccharide (Hep-6) to CTX at the beta-strand region can induce conformational changes of CTX near its membrane binding loops and promote the binding activity of CTX toward LPC. The Fourier-transform infrared spectra and NMR nuclear Overhauser effect of Hep-6.CTX and CTX.LPC complex in aqueous buffer also supplemented the aforementioned observation. Thus, the detected conformational change may presumably be the result of structural coupling between the connecting loops and its beta-strands. This is the first documentation of results showing how the association of hydrophilic carbohydrate molecules with amphiphilic proteins can promote hydrophobic protein-lipid interaction via the stabilization of its membrane-bound form. A similar mechanism involving tripartite interactions of heparin, protein, and lipid molecules may be operative near the extracellular matrix of cell membranes.


Subject(s)
Cell Membrane/metabolism , Cobra Cardiotoxin Proteins/chemistry , Heparin/chemistry , Heparin/metabolism , Animals , Binding Sites , Cobra Cardiotoxin Proteins/metabolism , Dose-Response Relationship, Drug , Elapidae , Extracellular Matrix/metabolism , Kinetics , Lipids/chemistry , Lysophosphatidylcholines/metabolism , Magnetic Resonance Spectroscopy , Micelles , Models, Molecular , Phospholipids/chemistry , Protein Binding , Protein Conformation , Protein Structure, Secondary , Spectrometry, Fluorescence
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