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genome scale metabolic modeling

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https://www.readbyqxmd.com/read/28814793/resolving-the-central-metabolism-of-arabidopsis-guard-cells
#1
Semidán Robaina-Estévez, Danilo M Daloso, Youjun Zhang, Alisdair R Fernie, Zoran Nikoloski
Photosynthesis and water use efficiency, key factors affecting plant growth, are directly controlled by microscopic and adjustable pores in the leaf-the stomata. The size of the pores is modulated by the guard cells, which rely on molecular mechanisms to sense and respond to environmental changes. It has been shown that the physiology of mesophyll and guard cells differs substantially. However, the implications of these differences to metabolism at a genome-scale level remain unclear. Here, we used constraint-based modeling to predict the differences in metabolic fluxes between the mesophyll and guard cells of Arabidopsis thaliana by exploring the space of fluxes that are most concordant to cell-type-specific transcript profiles...
August 16, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28806958/responses-of-synechocystis-sp-pcc-6803-to-heterologous-biosynthetic-pathways
#2
Konstantinos Vavitsas, Emil Østergaard Rue, Lára Kristín Stefánsdóttir, Thiyagarajan Gnanasekaran, Andreas Blennow, Christoph Crocoll, Steinn Gudmundsson, Poul Erik Jensen
BACKGROUND: There are an increasing number of studies regarding genetic manipulation of cyanobacteria to produce commercially interesting compounds. The majority of these works study the expression and optimization of a selected heterologous pathway, largely ignoring the wholeness and complexity of cellular metabolism. Regulation and response mechanisms are largely unknown, and even the metabolic pathways themselves are not fully elucidated. This poses a clear limitation in exploiting the rich biosynthetic potential of cyanobacteria...
August 15, 2017: Microbial Cell Factories
https://www.readbyqxmd.com/read/28806583/plant-genome-scale-reconstruction-from-single-cell-to-multi-tissue-modelling-and-omics-analyses
#3
REVIEW
Cristiana Gomes de Oliveira Dal'Molin, Lars Keld Nielsen
In this review, we present the latest developments in plant systems biology with particular emphasis on plant genome-scale reconstructions and multi-omics analyses. Understanding multicellular metabolism is far from trivial and 'omics' data are difficult to interpret in the absence of a systems framework. 'Omics' data appropriately integrated with genome-scale reconstructions and modelling facilitates our understanding of how individual components interact and influence overall cell, tissue or organisms function...
August 11, 2017: Current Opinion in Biotechnology
https://www.readbyqxmd.com/read/28805729/systems-biology-approach-to-bioremediation-of-nitroaromatics-constraint-based-analysis-of-2-4-6-trinitrotoluene-biotransformation-by-escherichia-coli
#4
Maryam Iman, Tabassom Sobati, Yunes Panahi, Meysam Mobasheri
Microbial remediation of nitroaromatic compounds (NACs) is a promising environmentally friendly and cost-effective approach to the removal of these life-threating agents. Escherichia coli (E. coli) has shown remarkable capability for the biotransformation of 2,4,6-trinitro-toluene (TNT). Efforts to develop E. coli as an efficient TNT degrading biocatalyst will benefit from holistic flux-level description of interactions between multiple TNT transforming pathways operating in the strain. To gain such an insight, we extended the genome-scale constraint-based model of E...
August 14, 2017: Molecules: a Journal of Synthetic Chemistry and Natural Product Chemistry
https://www.readbyqxmd.com/read/28801647/reconstruction-of-a-genome-scale-metabolic-network-of-komagataeibacter-nataicola-rzs01-for-cellulose-production
#5
Heng Zhang, Chao Ye, Nan Xu, Chuntao Chen, Xiao Chen, Fanshu Yuan, Yunhua Xu, Jiazhi Yang, Dongping Sun
Bacterial cellulose (BC) is widely used in industries owing to its high purity and strength. Although Komagataeibacter nataicola is a representative species for BC production, its intracellular metabolism leading to BC secretion is unclear. In the present study, a genome-scale metabolic network of cellulose-producing K. nataicola strain RZS01 was reconstructed to understand its metabolic behavior. This model iHZ771 comprised 771 genes, 2035 metabolites, and 2014 reactions. Constraint-based analysis was used to characterize and evaluate the critical intracellular pathways...
August 11, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28797224/the-adaptive-landscape-of-wildtype-and-glycosylation-deficient-populations-of-the-industrial-yeast-pichia-pastoris
#6
Josef W Moser, Iain B H Wilson, Martin Dragosits
BACKGROUND: The effects of long-term environmental adaptation and the implications of major cellular malfunctions are still poorly understood for non-model but biotechnologically relevant species. In this study we performed a large-scale laboratory evolution experiment with 48 populations of the yeast Pichia pastoris in order to establish a general adaptive landscape upon long-term selection in several glucose-based growth environments. As a model for a cellular malfunction the implications of OCH1 mannosyltransferase knockout-mediated glycosylation-deficiency were analyzed...
August 10, 2017: BMC Genomics
https://www.readbyqxmd.com/read/28795686/hdl-and-atherosclerotic-cardiovascular-disease-genetic-insights-into-complex-biology
#7
REVIEW
Robert S Rosenson, H Bryan Brewer, Philip J Barter, Johan L M Björkegren, M John Chapman, Daniel Gaudet, Daniel Seung Kim, Eric Niesor, Kerry-Anne Rye, Frank M Sacks, Jean-Claude Tardif, Robert A Hegele
Plasma levels of HDL cholesterol (HDL-C) predict the risk of cardiovascular disease at the epidemiological level, but a direct causal role for HDL in cardiovascular disease remains controversial. Studies in animal models and humans with rare monogenic disorders link only particular HDL-associated mechanisms with causality, including those mechanisms related to particle functionality rather than cholesterol content. Mendelian randomization studies indicate that most genetic variants that affect a range of pathways that increase plasma HDL-C levels are not usually associated with reduced risk of cardiovascular disease, with some exceptions, such as cholesteryl ester transfer protein variants...
August 10, 2017: Nature Reviews. Cardiology
https://www.readbyqxmd.com/read/28795660/systems-and-synthetic-biology-perspective-of-the-versatile-plant-pathogenic-and-polysaccharide-producing-bacterium-xanthomonas-campestris
#8
Sarah Schatschneider, Jessica Schneider, Jochen Blom, Fabien Létisse, Karsten Niehaus, Alexander Goesmann, Frank-Jörg Vorhölter
Bacteria of the genus Xanthomonas are a major group of plant pathogens. They are hazardous to important crops and closely related to human pathogens. Being collectively a major focus of molecular phytopathology, an increasing number of diverse and intricate mechanisms are emerging by which they communicate, interfere with host signalling and keep competition at bay. Interestingly, they are also biotechnologically relevant polysaccharide producers. Systems biotechnology techniques have revealed their central metabolism and a growing number of remarkable features...
August 10, 2017: Microbiology
https://www.readbyqxmd.com/read/28782239/integration-of-genome-scale-metabolic-networks-and-gene-regulation-of-metabolic-enzymes-with-physiologically-based-pharmacokinetics
#9
Elaina M Maldonado, Vytautas Leoncikas, Ciarán P Fisher, J Bernadette Moore, Nick J Plant, Andrzej M Kierzek
The scope of Physiologically Based Pharmacokinetic (PBPK) modelling can be expanded by assimilation of the mechanistic models of intracellular processes from Systems Biology field. Genome Scale Metabolic Networks (GSMNs) represent a whole set of metabolic enzymes expressed in human tissues. Dynamic models of the gene regulation of key drug metabolism enzymes are available. Here, we introduce GSMNs and review ongoing work on integration of PBPK, GSMNs and metabolic gene regulation. We demonstrate example models...
August 7, 2017: CPT: Pharmacometrics & Systems Pharmacology
https://www.readbyqxmd.com/read/28776273/combining-metabolomics-and-network-analysis-to-improve-tacrolimus-production-in-streptomyces-tsukubaensis-using-different-exogenous-feedings
#10
Cheng Wang, Jiao Liu, Huanhuan Liu, Shaoxiong Liang, Jianping Wen
Tacrolimus is widely used as an immunosuppressant in the treatment of various autoimmune diseases. However, the low fermentation yield of tacrolimus has thus far restricted its industrial applications. To solve this problem, the time-series response mechanisms of the intracellular metabolism that were highly correlated with tacrolimus biosynthesis were investigated using different exogenous feeding strategies in S. tsukubaensis. The metabolomic datasets, which contained 93 metabolites, were subjected to weighted correlation network analysis (WGCNA), and eight distinct metabolic modules and seven hub metabolites were identified to be specifically associated with tacrolimus biosynthesis...
August 3, 2017: Journal of Industrial Microbiology & Biotechnology
https://www.readbyqxmd.com/read/28762750/genome-scale-modeling-of-nadph-driven-%C3%AE-lapachone-sensitization-in-head-and-neck-squamous-cell-carcinoma
#11
Joshua E Lewis, Francesco Costantini, Jade Mims, Xiaofei Chen, Cristina Furdui, David A Boothman, Melissa L Kemp
AIMS: The purpose of this study was to investigate differential NADPH production between radiation-sensitive and -resistant head and neck squamous cell carcinoma (HNSCC) cell lines, and whether these differences are predictive of sensitivity to the chemotherapeutic ß-lapachone. RESULTS: We have developed a novel human genome-scale metabolic modeling platform that combines transcriptomic, kinetic, thermodynamic, and metabolite concentration data. Upon incorporation of this information into cell-line specific models, we observed that the radiation-resistant HNSCC model redistributed flux through several major NADPH producing reactions...
August 1, 2017: Antioxidants & Redox Signaling
https://www.readbyqxmd.com/read/28761936/clostridium-difficile-colonizes-alternative-nutrient-niches-during-infection-across-distinct-murine-gut-microbiomes
#12
Matthew L Jenior, Jhansi L Leslie, Vincent B Young, Patrick D Schloss
Clostridium difficile is the largest single cause of hospital-acquired infection in the United States. A major risk factor for Clostridium difficile infection (CDI) is prior exposure to antibiotics, as they disrupt the gut bacterial community which protects from C. difficile colonization. Multiple antibiotic classes have been associated with CDI susceptibility, many leading to distinct community structures stemming from variation in bacterial targets of action. These community structures present separate metabolic challenges to C...
July 2017: MSystems
https://www.readbyqxmd.com/read/28760369/towards-systems-metabolic-engineering-in-pichia-pastoris
#13
REVIEW
Jan-Philipp Schwarzhans, Tobias Luttermann, Martina Geier, Jörn Kalinowski, Karl Friehs
The methylotrophic yeast Pichia pastoris is firmly established as a host for the production of recombinant proteins, frequently outperforming other heterologous hosts. Already, a sizeable amount of systems biology knowledge has been acquired for this non-conventional yeast. By applying various omics-technologies, productivity features have been thoroughly analyzed and optimized via genetic engineering. However, challenging clonal variability, limited vector repertoire and insufficient genome annotation have hampered further developments...
July 28, 2017: Biotechnology Advances
https://www.readbyqxmd.com/read/28736156/improving-the-economics-of-nash-nafld-treatment-through-the-use-of-systems-biology
#14
REVIEW
Jim Bosley, Christofer Boren, Sunjae Lee, Morten Grøtli, Jens Nielsen, Mathias Uhlen, Jan Boren, Adil Mardinoglu
Nonalcoholic steatohepatitis (NASH) is a severe form of nonalcoholic fatty liver disease (NAFLD). We surveyed NASH therapies currently in development, and found a significant variety of targets and approaches. Evaluation and clinical testing of these targets is an expensive and time-consuming process. Systems biology approaches could enable the quantitative evaluation of the likely efficacy and safety of different targets. This motivated our review of recent systems biology studies that focus on the identification of targets and development of effective treatments for NASH...
July 20, 2017: Drug Discovery Today
https://www.readbyqxmd.com/read/28732234/computational-modelling-of-genome-scale-metabolic-networks-and-its-application-to-cho-cell-cultures
#15
REVIEW
Živa Rejc, Lidija Magdevska, Tilen Tršelič, Timotej Osolin, Rok Vodopivec, Jakob Mraz, Eva Pavliha, Nikolaj Zimic, Tanja Cvitanović, Damjana Rozman, Miha Moškon, Miha Mraz
Genome-scale metabolic models (GEMs) have become increasingly important in recent years. Currently, GEMs are the most accurate in silico representation of the genotype-phenotype link. They allow us to study complex networks from the systems perspective. Their application may drastically reduce the amount of experimental and clinical work, improve diagnostic tools and increase our understanding of complex biological phenomena. GEMs have also demonstrated high potential for the optimisation of bio-based production of recombinant proteins...
July 8, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28730487/a-methodology-for-comprehensive-analysis-of-toll-like-receptor-signaling-in-macrophages
#16
Marijke Koppenol-Raab, Aleksandra Nita-Lazar
A combination of high-throughput, multiplexed, quantitative methods with computational modeling and statistical approaches is required to obtain system-level understanding of biological function. Mass spectrometry (MS)-based proteomics has emerged as a preferred tool for the analysis of changes in protein abundance and their post-translational modification (PTM) levels at a global scale, comparable with genomic experiments and generating data suitable for use in mathematical modeling of signaling pathways. Here we describe a set of parallel bottom-up proteomic approaches to detect and quantify the global protein changes in total intracellular proteins, their phosphorylation, and the proteins released by active and passive secretion or shedding mechanisms (referred to as the secretome as reviewed in Makridakis and Vlahou, J Proteome 73:2291-2305, 2010) in response to the stimulation of Toll-like receptors (TLRs) with specific ligands in cultured macrophages...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/28727789/lumpgem-systematic-generation-of-subnetworks-and-elementally-balanced-lumped-reactions-for-the-biosynthesis-of-target-metabolites
#17
Meric Ataman, Vassily Hatzimanikatis
In the post-genomic era, Genome-scale metabolic networks (GEMs) have emerged as invaluable tools to understand metabolic capabilities of organisms. Different parts of these metabolic networks are defined as subsystems/pathways, which are sets of functional roles to implement a specific biological process or structural complex, such as glycolysis and TCA cycle. Subsystem/pathway definition is also employed to delineate the biosynthetic routes that produce biomass building blocks. In databases, such as MetaCyc and SEED, these representations are composed of linear routes from precursors to target biomass building blocks...
July 2017: PLoS Computational Biology
https://www.readbyqxmd.com/read/28727725/redgem-systematic-reduction-and-analysis-of-genome-scale-metabolic-reconstructions-for-development-of-consistent-core-metabolic-models
#18
Meric Ataman, Daniel F Hernandez Gardiol, Georgios Fengos, Vassily Hatzimanikatis
Genome-scale metabolic reconstructions have proven to be valuable resources in enhancing our understanding of metabolic networks as they encapsulate all known metabolic capabilities of the organisms from genes to proteins to their functions. However the complexity of these large metabolic networks often hinders their utility in various practical applications. Although reduced models are commonly used for modeling and in integrating experimental data, they are often inconsistent across different studies and laboratories due to different criteria and detail, which can compromise transferability of the findings and also integration of experimental data from different groups...
July 2017: PLoS Computational Biology
https://www.readbyqxmd.com/read/28720699/cellular-trade-offs-and-optimal-resource-allocation-during-cyanobacterial-diurnal-growth
#19
Alexandra-M Reimers, Henning Knoop, Alexander Bockmayr, Ralf Steuer
Cyanobacteria are an integral part of Earth's biogeochemical cycles and a promising resource for the synthesis of renewable bioproducts from atmospheric CO2 Growth and metabolism of cyanobacteria are inherently tied to the diurnal rhythm of light availability. As yet, however, insight into the stoichiometric and energetic constraints of cyanobacterial diurnal growth is limited. Here, we develop a computational framework to investigate the optimal allocation of cellular resources during diurnal phototrophic growth using a genome-scale metabolic reconstruction of the cyanobacterium Synechococcus elongatus PCC 7942...
July 18, 2017: Proceedings of the National Academy of Sciences of the United States of America
https://www.readbyqxmd.com/read/28715411/a-curated-genome-scale-metabolic-model-of-bordetella-pertussis-metabolism
#20
Nick Fyson, Jerry King, Thomas Belcher, Andrew Preston, Caroline Colijn
The Gram-negative bacterium Bordetella pertussis is the causative agent of whooping cough, a serious respiratory infection causing hundreds of thousands of deaths annually worldwide. There are effective vaccines, but their production requires growing large quantities of B. pertussis. Unfortunately, B. pertussis has relatively slow growth in culture, with low biomass yields and variable growth characteristics. B. pertussis also requires a relatively expensive growth medium. We present a new, curated flux balance analysis-based model of B...
July 2017: PLoS Computational Biology
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