PubMed Health⌕ Search

SEARCH · PubMed Health

Results for “Metabolic Networks and Pathways”

Explore indexed PubMed citations for clinical trials, systematic reviews and public health research. Read source abstracts and follow each citation to its original PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 109 records · Page 6Linked to original sources
PubMed2004

The promise of metabolomics in cancer molecular therapeutics.

A systematic elucidation of cancer cell dysfunction and therapeutic mechanisms seems within reach with modern functional genomics and proteomics tools. However, for this potential to be realized, the metabolic consequences of gene expression and protein activity must be understood. 'Metabolomics' is currently a major missing component. It differs from classical metabolic studies by its greater breadth, depth and speed, enabled by the huge advances in analytical instrumentation (especially nuclear magnetic resonance and mass spectrometry) over the past two decades. Multiple metabolic pathways and networks can now be traced by the flow of atoms through metabolites, known as isotopomer analyses. Thus, metabolomics demands both high-throughput and high-information content analyses, and interpretation: the latter is currently a bottleneck. There are currently very few metabolomic studies in cancer therapeutics, despite this great need and potential.

Animals↗
PubMed2002

Maneuvering in the complex path from genotype to phenotype.

Human disease phenotypes are controlled not only by genes but by lawful self-organizing networks that display system-wide dynamics. These networks range from metabolic pathways to signaling pathways that regulate hormone action. When perturbed, networks alter their output of matter and energy which, depending on the environmental context, can produce either a pathological or a normal phenotype. Study of the dynamics of these networks by approaches such as metabolic control analysis may provide new insights into the pathogenesis and treatment of complex diseases.

Alzheimer Disease↗
PubMed2000

Assessment of the metabolic capabilities of Haemophilus influenzae Rd through a genome-scale pathway analysis.

The annotated full DNA sequence is becoming available for a growing number of organisms. This information along with additional biochemical and strain-specific data can be used to define metabolic genotypes and reconstruct cellular metabolic networks. The first free-living organism for which the entire genomic sequence was established was Haemophilus influenzae. Its metabolic network is reconstructed herein and contains 461 reactions operating on 367 intracellular and 84 extracellular metabolites. With the metabolic reaction network established, it becomes necessary to determine its underlying pathway structure as defined by the set of extreme pathways. The H. influenzae metabolic network was subdivided into six subsystems and the extreme pathways determined for each subsystem based on stoichiometric, thermodynamic, and systems-specific constraints. Positive linear combinations of these pathways can be taken to determine the extreme pathways for the complete system. Since these pathways span the capabilities of the full system, they could be used to address a number of important physiological questions. First, they were used to reconcile and curate the sequence annotation by identifying reactions whose function was not supported in any of the extreme pathways. Second, they were used to predict gene products that should be co-regulated and perhaps co-expressed. Third, they were used to determine the composition of the minimal substrate requirements needed to support the production of 51 required metabolic products such as amino acids, nucleotides, phospholipids, etc. Fourth, sets of critical gene deletions from core metabolism were determined in the presence of the minimal substrate conditions and in more complete conditions reflecting the environmental niche of H. influenzae in the human host. In the former case, 11 genes were determined to be critical while six remained critical under the latter conditions. This study represents an important milestone in theoretical biology, namely the establishment of the first extreme pathway structure of a whole genome.

Genome, Bacterial↗
PubMed2003

Analysis of metabolic capabilities using singular value decomposition of extreme pathway matrices.

It is now possible to construct genome-scale metabolic networks for particular microorganisms. Extreme pathway analysis is a useful method for analyzing the phenotypic capabilities of these networks. Many extreme pathways are needed to fully describe the functional capabilities of genome-scale metabolic networks, and therefore, a need exists to develop methods to study these large sets of extreme pathways. Singular value decomposition (SVD) of matrices of extreme pathways was used to develop a conceptual framework for the interpretation of large sets of extreme pathways and the steady-state flux solution space they define. The key results of this study were: 1), convex steady-state solution cones describing the potential functions of biochemical networks can be studied using the modes generated by SVD; 2), Helicobacter pylori has a more rigid metabolic network (i.e., a lower dimensional solution space and a more dominant first singular value) than Haemophilus influenzae for the production of amino acids; and 3), SVD allows for direct comparison of different solution cones resulting from the production of different amino acids. SVD was used to identify key network branch points that may identify key control points for regulation. Therefore, SVD of matrices of extreme pathways has proved to be a useful method for analyzing the steady-state solution space of genome-scale metabolic networks.

Algorithms↗
PubMed2006

Pathguide: a pathway resource list.

Pathguide: the Pathway Resource List (http://pathguide.org) is a meta-database that provides an overview of more than 190 web-accessible biological pathway and network databases. These include databases on metabolic pathways, signaling pathways, transcription factor targets, gene regulatory networks, genetic interactions, protein-compound interactions, and protein-protein interactions. The listed databases are maintained by diverse groups in different locations and the information in them is derived either from the scientific literature or from systematic experiments. Pathguide is useful as a starting point for biological pathway analysis and for content aggregation in integrated biological information systems.

Databases, Genetic↗
PubMed2025

Hierarchical metabolic engineering for rewiring cellular metabolism.

Metabolic engineering is a key enabling technology for rewiring cellular metabolism to enhance production of chemicals, biofuels, and materials from renewable resources. However, how to make cells into efficient factories is still challenging due to its robust metabolic networks. To open this door, metabolic engineering has realized great breakthroughs through three waves of technological research and innovations, especially the third wave. To understand the third wave of metabolic engineering better, we discuss its mainstream strategies and examples of its application at five hierarchies, including part, pathway, network, genome, and cell level, and provide insights as to how to rewire cellular metabolism in the context of maximizing product titer, yield, and productivity. Finally, we highlight future perspectives on metabolic engineering for the successful development of cell factories.

Metabolic Engineering↗
PubMed2006

Compartmentation in plant metabolism.

Cell fractionation and immunohistochemical studies in the last 40 years have revealed the extensive compartmentation of plant metabolism. In recent years, new protein mass spectrometry and fluorescent-protein tagging technologies have accelerated the flow of information, especially for Arabidopsis thaliana, but the intracellular locations of the majority of proteins in the plant proteome are still not known. Prediction programs that search for targeting information within protein sequences can be applied to whole proteomes, but predictions from different programs often do not agree with each other or, indeed, with experimentally determined results. The compartmentation of most pathways of primary metabolism is generally covered in plant physiology textbooks, so the focus here is mainly on newly discovered metabolic pathways in plants or pathways that have recently been revised. Ultimately, all of the pathways of plant metabolism are interconnected, and a major challenge facing plant biochemists is to understand the regulation and control of metabolic networks. One of the best-characterized networks links sucrose synthesis in the cytosol with photosynthetic CO(2) fixation and starch synthesis in the chloroplasts. One of the key features of this network is how the transport of pathway intermediates and signal metabolites across the chloroplast envelope conveys information between the two compartments, influencing the regulation of several enzymes to co-ordinate fluxes through the different pathways. It is widely accepted that chloroplasts and mitochondria originated from prokaryotic endosymbionts, and that new transporters and regulatory networks evolved to integrate metabolism in these organelles with the rest of the cell. Curiously, the present-day locations of many metabolic pathways within the cell often do not reflect their evolutionary origin, and there is evidence of extensive shuffling of enzymes and whole pathways between compartments during the evolution of plants.

Arabidopsis↗
PubMed2006

VANTED: a system for advanced data analysis and visualization in the context of biological networks.

BACKGROUND: Recent advances with high-throughput methods in life-science research have increased the need for automatized data analysis and visual exploration techniques. Sophisticated bioinformatics tools are essential to deduct biologically meaningful interpretations from the large amount of experimental data, and help to understand biological processes. RESULTS: We present VANTED, a tool for the visualization and analysis of networks with related experimental data. Data from large-scale biochemical experiments is uploaded into the software via a Microsoft Excel-based form. Then it can be mapped on a network that is either drawn with the tool itself, downloaded from the KEGG Pathway database, or imported using standard network exchange formats. Transcript, enzyme, and metabolite data can be presented in the context of their underlying networks, e. g. metabolic pathways or classification hierarchies. Visualization and navigation methods support the visual exploration of the data-enriched networks. Statistical methods allow analysis and comparison of multiple data sets such as different developmental stages or genetically different lines. Correlation networks can be automatically generated from the data and substances can be clustered according to similar behavior over time. As examples, metabolite profiling and enzyme activity data sets have been visualized in different metabolic maps, correlation networks have been generated and similar time patterns detected. Some relationships between different metabolites were discovered which are in close accordance with the literature. CONCLUSION: VANTED greatly helps researchers in the analysis and interpretation of biochemical data, and thus is a useful tool for modern biological research. VANTED as a Java Web Start Application including a user guide and example data sets is available free of charge at http://vanted.ipk-gatersleben.de.

Algorithms↗
PubMed2002

Transcriptional regulatory networks in Saccharomyces cerevisiae.

We have determined how most of the transcriptional regulators encoded in the eukaryote Saccharomyces cerevisiae associate with genes across the genome in living cells. Just as maps of metabolic networks describe the potential pathways that may be used by a cell to accomplish metabolic processes, this network of regulator-gene interactions describes potential pathways yeast cells can use to regulate global gene expression programs. We use this information to identify network motifs, the simplest units of network architecture, and demonstrate that an automated process can use motifs to assemble a transcriptional regulatory network structure. Our results reveal that eukaryotic cellular functions are highly connected through networks of transcriptional regulators that regulate other transcriptional regulators.

Algorithms↗
PubMed2004

Solute transporters as connecting elements between cytosol and plastid stroma.

Metabolite translocators in the inner membrane of the plastid envelope are the interface between cytosolic and plastidial metabolism. Hence, they integrate plastidial pathways, such as photosynthesis, starch biosynthesis, the oxidative pentose phosphate pathway and the shikimate pathway, into the metabolic network of plant cells. Metabolite transporters not only catalyze the flux of metabolites between compartments but also represent information pathways that communicate the metabolic status of the various compartments within plant cells. Recently, a pentose-phosphate translocator was shown to be a novel member of the phosphate translocator protein family. Furthermore, a protein of previously unknown function was identified as a novel type of maltose transporter, and a glutamate/malate translocator that is involved in photorespiration was discovered. In addition, the pathway for maltose metabolism in the cytosol has been unraveled.

Arabidopsis↗
PubMed2006

Analyzing molecular reaction networks: from pathways to chemical organizations.

Pathways are typically the central concept in the analysis of biochemical reaction networks. A pathway can be interpreted as a chain of enzymatical reactions performing a specific biological function. A common way to study metabolic networks are minimal pathways that can operate at steady state called elementary modes. The theory of chemical organizations has recently been used to decompose biochemical networks into algebraically closed and self-maintaining subnetworks termed organizations. The aim of this paper is to elucidate the relation between these two concepts. Whereas elementary modes represent the boundaries of the potential behavior of the network, organizations define metabolite compositions that are likely to be present in biological feasible situations. Hence, steady state organizations consist of combinations of elementary modes. On the other hand, it is possible to assign a unique (and possibly empty) set of organizations to each elementary mode, indicating the metabolites accompanying the active pathway in a feasible steady state.

Cell Physiological Phenomena↗
PubMed2006

Observing local and global properties of metabolic pathways: 'load points' and 'choke points' in the metabolic networks.

MOTIVATION: The local and global aspects of metabolic network analyses allow us to identify enzymes or reactions that are crucial for the survival of the organism(s), therefore directing us towards the discovery of potential drug targets. RESULTS: We demonstrate a new method ('load points') to rank the enzymes/metabolites in the metabolic network and propose a model to determine and rank the biochemical lethality in metabolic networks (enzymes/metabolites) through 'choke points'. Based on an extended form of the graph theory model of metabolic networks, metabolite structural information was used to calculate the k-shortest paths between metabolites (the presence of more than one competing path between substrate and product). On the basis of these paths and connectivity information, load points were calculated and used to empirically rank the importance of metabolites/enzymes in the metabolic network. The load point analysis emphasizes the role that the biochemical structure of a metabolite, rather than its connectivity (hubs), plays in the conversion pathway. In order to identify potential drug targets (based on the biochemical lethality of metabolic networks), the concept of choke points and load points was used to find enzymes (edges) which uniquely consume or produce a particular metabolite (nodes). A non-pathogenic bacterial strain Bacillus subtilis 168 (lactic acid producing bacteria) and a related pathogenic bacterial strain Bacillus anthracis Sterne (avirulent but toxigenic strain, producing the toxin Anthrax) were selected as model organisms. The choke point strategy was implemented on the pathogen bacterial network of B.anthracis Sterne. Potential drug targets are proposed based on the analysis of the top 10 choke points in the bacterial network. A comparative study between the reported top 10 bacterial choke points and the human metabolic network was performed. Further biological inferences were made on results obtained by performing a homology search against the human genome. AVAILABILITY: The load and choke point modules are introduced in the Pathway Hunter Tool (PHT), the basic version of which is available on http://www.pht.uni-koeln.de.

Bacillus↗
PubMed2004

Bacterial virulence factors in neonatal sepsis: group B streptococcus.

PURPOSE OF REVIEW: Group B streptococcus is a leading cause of neonatal pneumonia, septicaemia and meningitis. Up to one quarter of women in labour are now given intravenous antibiotics to prevent early-onset disease by the organism, a situation that will remain constant until a successful vaccine is available. From a molecular understanding of the pathogenicity of group B streptococcus we may be able to devise novel means for controlling disease, such as identifying inhibitors of key metabolic pathways or regulatory networks. This review summarizes our post-genomic knowledge of the regulation, metabolism and virulence of group B streptococcus. RECENT FINDINGS: Although advances have been made in the understanding of classic group B streptococcus virulence traits, such as capsular polysaccharide, beta-haemolysin, C5a peptidase, adhesins and immunogenic surface proteins, the major recent contribution to group B streptococcus pathogenesis has been the whole genome sequencing of three group B streptococcus strains, representing serotypes Ia, III and V. From these genomes, we not only see where the classic virulence genes map, but we can also gain insights into the metabolism and regulation of the organism and how these affect its virulence. SUMMARY: Knowledge of virulence factors and the organism's metabolism and gene regulation offers opportunities to find novel means of preventing group B streptococcus infection in babies.

Bacteremia↗
PubMed2006

The cytomatrix as a cooperative system of macromolecular and water networks.

Water was called by Szent-Gyorgi "life's mater and matrix, mother and medium." This chapter considers both aspects of his statement. Many astrobiologists argue that some, if not all, of Earth's water arrived during cometary bombardments. Amorphous water ices of comets possibly facilitated organization of complex organic molecules, kick-starting prebiotic evolution. In Gaian theory, Earth retains its water as a consequence of biological activity. The cell cytomatrix is a proteinaceous matrix/lattice incorporating the cytoskeleton, a pervasive, holistic superstructural network that integrates metabolic pathways. Enzymes of metabolic pathways are ordered in supramolecular clusters (metabolons) associated with cytoskeleton and/or membranes. Metabolic intermediates are microchanneled through metabolons without entering a bulk aqueous phase. Rather than being free in solution, even major signaling ions are probably clustered in association with the cytomatrix. Chloroplasts and mitochondria, like bacteria and archaea, also contain a cytoskeletal lattice, metabolons, and channel metabolites. Eukaryotic metabolism is mathematically a scale-free or small-world network. Enzyme clusters of bacterial origin are incorporated at a pathway level that is architecturally archaean. The eucaryotic cell may be a product of serial endosymbiosis, a chimera. Cell cytoplasm is approximately 80% water. Water is indisputably a conserved structural element of proteins, essential to their folding, specificity, ligand binding, and to enzyme catalysis. The vast literature of organized cell water has long argued that the cytomatrix and cell water are an entire system, a continuum, or gestalt. Alternatives are offered to mainstream explanations of cell electric potentials, ion channel, enzyme, and motor protein function, in terms of high-order cooperative systems of ions, water, and macromolecules. This chapter describes some prominent concepts of organized cell water, including vicinal water network theory, the association-induction hypothesis, wave-cluster theory, phase-gel transition theories, and theories of low- and high-density water polymorphs.

Animals↗
PubMed2006

Engineering primary metabolic pathways of industrial micro-organisms.

Metabolic engineering is a powerful tool for the optimisation and the introduction of new cellular processes. This is mostly done by genetic engineering. Since the introduction of this multidisciplinary approach, the success stories keep accumulating. The primary metabolism of industrial micro-organisms has been studied for long time and most biochemical pathways and reaction networks have been elucidated. This large pool of biochemical information, together with data from proteomics, metabolomics and genomics underpins the strategies for design of experiments and choice of targets for manipulation by metabolic engineers. These targets are often located in the primary metabolic pathways, such as glycolysis, pentose phosphate pathway, the TCA cycle and amino acid biosynthesis and mostly at major branch points within these pathways. This paper describes approaches taken for metabolic engineering of these pathways in bacteria, yeast and filamentous fungi.

Bacteria↗
PubMed2025

Phenotypic profiling of carbon utilization of Pectobacterium brasiliense (Pbr1692).

Pectobacterium brasiliense 1692 (Pbr1692) is a necrotrophic pathogen that infects many crops such as potatoes and ornamental plants and derives nutrients from degraded plant tissue. Previous studies have identified Pbr1692 genes required for ecological fitness and virulence, however there is a lack of information on nutrient utilization in Pbr1692. Carbon source utilization profiling in Pbr1692 could provide a platform to decipher its metabolic flexibility and adaptation. This study assessed the nutrient utilization of Pbr1692 in different carbon sources, using Biolog Phenotypic Microarray (PM). An array of carbon sources utilized by Pbr1692 were identified, 32 carbohydrates and 8 carboxylic acids were among the preferred carbon nutrients utilized by Pbr1692. The PM results also revealed that the citric acid cycle, amino acid metabolism, and pentose phosphate metabolic pathways might be used to produce energy for Pbr1692. In addition, growth of Pbr1692 cells in minimal medium supplemented with citric acid, glucose, and aspartic acid retained the typical rod shape, suggesting that nutrient variation did not influence Pbr1692 cell morphology adaptation. This study provides an understanding on the adaptation of Pbr1692 and lays a foundation for understanding carbon metabolism of Pbr1692.

Carbon↗
PubMed1998

The anaerobic degradation of L-serine and L-threonine in enterobacteria: networks of pathways and regulatory signals.

The mechanisms controlling the biosynthesis and degradation of l-serine and l-threonine are remarkably complex. Their metabolism forms a network of pathways linking several amino acids, central primary metabolites such as pyruvate, oxaloacetate and 3-phosphoglycerate, and C1 metabolism. Studies on the degradation of these amino acids in Escherichia coli have revealed the involvement of fascinating enzymes that utilise quite diverse catalytic mechanisms. Moreover, it is emerging that both environmental and metabolic signals have a major impact in controlling enzyme synthesis This is exemplified by the anaerobically regulated tdc operon, which encodes a metabolic pathway for the degradation of serine and threonine. Studies on this pathway are beginning to provide insights into how an organism adapts its genetic makeup to meet the physiological demands of the cell.

Anaerobiosis↗