Dataset Information

The strength of chemical linkage as a criterion for pruning metabolic graphs.

ABSTRACT:

Motivation

A metabolic graph represents the connectivity patterns of a metabolic system, and provides a powerful framework within which the organization of metabolic reactions can be analyzed and elucidated. A common practice is to prune (i.e. remove nodes and edges) the metabolic graph prior to any analysis in order to eliminate confounding signals from the representation. Currently, this pruning process is carried out in an ad hoc fashion, resulting in discrepancies and ambiguities across studies.

Results

We propose a biochemically informative criterion, the strength of chemical linkage (SCL), for a systematic pruning of metabolic graphs. By analyzing the metabolic graph of Escherichia coli, we show that thresholding SCL is powerful in selecting the conventional pathways' connectivity out of the raw network connectivity when the network is restricted to the reactions collected from these pathways. Further, we argue that the root of ambiguity in pruning metabolic graphs is in the continuity of the amount of chemical content that can be conserved in reaction transformation patterns. Finally, we demonstrate how biochemical pathways can be inferred efficiently if the search procedure is guided by SCL.

SUBMITTER: Zhou W

PROVIDER: S-EPMC3129522 | biostudies-literature | 2011 Jul

REPOSITORIES: biostudies-literature

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Publications

The strength of chemical linkage as a criterion for pruning metabolic graphs.

Zhou Wanding W Nakhleh Luay L

Bioinformatics (Oxford, England) 20110505 14

<h4>Motivation</h4>A metabolic graph represents the connectivity patterns of a metabolic system, and provides a powerful framework within which the organization of metabolic reactions can be analyzed and elucidated. A common practice is to prune (i.e. remove nodes and edges) the metabolic graph prior to any analysis in order to eliminate confounding signals from the representation. Currently, this pruning process is carried out in an ad hoc fashion, resulting in discrepancies and ambiguities acr ...[more]

PMID: 21551141

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Project description:The pharmacokinetics (PK), biodistribution and metabolism of non-viral gene delivery systems administered systemically are directly related to in vivo efficacy. The magnitude of luciferase expression in the liver of mice following a tail vein dose of a polyplex, composed of 1 ?g of pGL3 in complex with a polyethylene glycol (PEG) polyacridine peptide, followed by a delayed hydrodynamic (HD) stimulation (1-9 h), depends on the HD stimulation delay time and the structure of the polyacridine peptide. As demonstrated in the present study, the PEG length and the type of chemical linkage joining PEG to the polyacridine peptide dramatically influence the in vivo gene transfer efficiency. To understand how PEG length, linkage and location influence gene transfer efficiency, detailed PK, biodistribution and HD-stimulated gene expression experiments were performed on polyplexes prepared with an optimized polyacridine peptide modified through a single terminal Cys or Pen (penicillamine) with a PEG chain of average length of 2, 5, 10, 20, or 30 kDa. The chemical linkage was examined by attaching PEG(5 kDa) to the polyacridine peptide through a thiol-thiol (SS), thiol-maleimide (SM), thiol-vinylsulfone (SV), thiol-acetamide (SA), penicillamine-thiol-maleimide (PM) or penicillamine-thiol-thiol (PS). The influence of PEG location was analyzed by attaching PEG(5 kDa) to the polyacridine peptide through a C-terminal, N-terminal, or a middle Cys residue. The results established rapid metabolism of polyplexes containing SV and SA chemical linkages that leads to a decreased polyplex PK half-life and a complete loss of HD-stimulated gene expression at delay times of 5 h. Conversely, polyplexes containing PM, PS, and SM chemical linkages were metabolically stable, allowing robust HD-stimulated expression at delay times up to 5h post-polyplex administration. The location of PEG(? kDa) within the polyacridine peptide exerted only a minor influence on the gene transfer of polyplexes. However, varying the PEG length from 2, 5, 10, 20, or 30 kDa dramatically altered polyplex biodistribution, with a 30 kDa PEG maximally blocking liver uptake to 13% of dose, while maintaining the ability to mediate HD-stimulated gene expression. The combination of results establishes important relationships between PEGylated polyacridine peptide structure, physical properties, in vivo metabolism, PK and biodistribution resulting in an optimal PEG length and linkage that leads to a robust HD-stimulated gene expression in mice.

Dataset Information

The strength of chemical linkage as a criterion for pruning metabolic graphs.

Motivation

Results

Publications

The strength of chemical linkage as a criterion for pruning metabolic graphs.

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