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genome scale metabolic modeling

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https://www.readbyqxmd.com/read/28226770/a-multiscale-model-based-analysis-of-the-multi-tissue-interplay-underlying-blood-glucose-regulation-in-type-i-diabetes
#1
Federico Wadehn, Stephan Schaller, Thomas Eissing, Markus Krauss, Lars Kupfer, Federico Wadehn, Stephan Schaller, Thomas Eissing, Markus Krauss, Lars Kupfer, Federico Wadehn, Markus Krauss, Lars Kupfer, Stephan Schaller, Thomas Eissing
A multiscale model for blood glucose regulation in diabetes type I patients is constructed by integrating detailed metabolic network models for fat, liver and muscle cells into a whole body physiologically-based pharmacokinetic/pharmacodynamic (pBPK/PD) model. The blood glucose regulation PBPK/PD model simulates the distribution and metabolization of glucose, insulin and glucagon on an organ and whole body level. The genome-scale metabolic networks in contrast describe intracellular reactions. The developed multiscale model is fitted to insulin, glucagon and glucose measurements of a 48h clinical trial featuring 6 subjects and is subsequently used to simulate (in silico) the influence of geneknockouts and drug-induced enzyme inhibitions on whole body blood glucose levels...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28222737/dynamic-genome-scale-metabolic-modeling-of-the-yeast-pichia-pastoris
#2
Francisco Saitua, Paulina Torres, José Ricardo Pérez-Correa, Eduardo Agosin
BACKGROUND: Pichia pastoris shows physiological advantages in producing recombinant proteins, compared to other commonly used cell factories. This yeast is mostly grown in dynamic cultivation systems, where the cell's environment is continuously changing and many variables influence process productivity. In this context, a model capable of explaining and predicting cell behavior for the rational design of bioprocesses is highly desirable. Currently, there are five genome-scale metabolic reconstructions of P...
February 21, 2017: BMC Systems Biology
https://www.readbyqxmd.com/read/28217746/integrated-regulatory-and-metabolic-networks-of-the-marine-diatom-phaeodactylum-tricornutum-predict-the-response-to-rising-co2-levels
#3
Jennifer Levering, Christopher L Dupont, Andrew E Allen, Bernhard O Palsson, Karsten Zengler
Diatoms are eukaryotic microalgae that are responsible for up to 40% of the ocean's primary productivity. How diatoms respond to environmental perturbations such as elevated carbon concentrations in the atmosphere is currently poorly understood. We developed a transcriptional regulatory network based on various transcriptome sequencing expression libraries for different environmental responses to gain insight into the marine diatom's metabolic and regulatory interactions and provide a comprehensive framework of responses to increasing atmospheric carbon levels...
January 2017: MSystems
https://www.readbyqxmd.com/read/28215528/a-systematic-evaluation-of-methods-for-tailoring-genome-scale-metabolic-models
#4
Sjoerd Opdam, Anne Richelle, Benjamin Kellman, Shanzhong Li, Daniel C Zielinski, Nathan E Lewis
Genome-scale models of metabolism can illuminate the molecular basis of cell phenotypes. Since some enzymes are only active in specific cell types, several algorithms use omics data to construct cell-line- and tissue-specific metabolic models from genome-scale models. However, these methods are often not rigorously benchmarked, and it is unclear how algorithm and parameter selection (e.g., gene expression thresholds, metabolic constraints) affects model content and predictive accuracy. To investigate this, we built hundreds of models of four different cancer cell lines using six algorithms, four gene expression thresholds, and three sets of metabolic constraints...
February 14, 2017: Cell Systems
https://www.readbyqxmd.com/read/28212815/systematic-testing-of-enzyme-perturbation-sensitivities-via-graded-dcas9-modulation-in-saccharomyces-cerevisiae
#5
Matthew Deaner, Hal S Alper
Dissecting genotype-phenotype relationships in a high-throughput and scalable manner is still an unresolved problem facing metabolic engineers. While the RNA-guided nuclease Cas9 has been repurposed as a programmable transcription regulator, its application has typically been limited to binary on/off regulation and thus misses informative and potentially optimal intermediate levels of gene expression. In this work, we establish a rapid method for fine-tuned, graded expression of pathway enzymes via dCas9 regulation by varying sgRNA target location as the dominant parameter...
February 14, 2017: Metabolic Engineering
https://www.readbyqxmd.com/read/28209199/making-life-difficult-for-clostridium-difficile-augmenting-the-pathogen-s-metabolic-model-with-transcriptomic-and-codon-usage-data-for-better-therapeutic-target-characterization
#6
Sara Saheb Kashaf, Claudio Angione, Pietro Lió
BACKGROUND: Clostridium difficile is a bacterium which can infect various animal species, including humans. Infection with this bacterium is a leading healthcare-associated illness. A better understanding of this organism and the relationship between its genotype and phenotype is essential to the search for an effective treatment. Genome-scale metabolic models contain all known biochemical reactions of a microorganism and can be used to investigate this relationship. RESULTS: We present icdf834, an updated metabolic network of C...
February 16, 2017: BMC Systems Biology
https://www.readbyqxmd.com/read/28189107/c-elegans-and-its-bacterial-diet-as-a-model-for-systems-level-understanding-of-host-microbiota-interactions
#7
REVIEW
Jingyan Zhang, Amy D Holdorf, Albertha Jm Walhout
Resident microbes of the human body, particularly the gut microbiota, provide essential functions for the host, and, therefore, have important roles in human health as well as mitigating disease. It is difficult to study the mechanisms by which the microbiota affect human health, especially at a systems-level, due to heterogeneity of human genomes, the complexity and heterogeneity of the gut microbiota, the challenge of growing these bacteria in the laboratory, and the lack of bacterial genetics in most microbiotal species...
February 8, 2017: Current Opinion in Biotechnology
https://www.readbyqxmd.com/read/28187415/estimation-of-biomass-composition-from-genomic-and-transcriptomic-information
#8
Sophia Santos, Isabel Rocha
Given the great potential impact of the growing number of complete genome-scale metabolic network reconstructions of microorganisms, bioinformatics tools are needed to simplify and accelerate the course of knowledge in this field. One essential component of a genome-scale metabolic model is its biomass equation, whose maximization is one of the most common objective functions used in Flux Balance Analysis formulations. Some components of biomass, such as amino acids and nucleotides, can be estimated from genome information, providing reliable data without the need of performing lab experiments...
November 27, 2016: Journal of Integrative Bioinformatics
https://www.readbyqxmd.com/read/28187207/a-multi-objective-constraint-based-approach-for-modeling-genome-scale-microbial-ecosystems
#9
Marko Budinich, Jérémie Bourdon, Abdelhalim Larhlimi, Damien Eveillard
Interplay within microbial communities impacts ecosystems on several scales, and elucidation of the consequent effects is a difficult task in ecology. In particular, the integration of genome-scale data within quantitative models of microbial ecosystems remains elusive. This study advocates the use of constraint-based modeling to build predictive models from recent high-resolution -omics datasets. Following recent studies that have demonstrated the accuracy of constraint-based models (CBMs) for simulating single-strain metabolic networks, we sought to study microbial ecosystems as a combination of single-strain metabolic networks that exchange nutrients...
2017: PloS One
https://www.readbyqxmd.com/read/28176778/reconciled-rat-and-human-metabolic-networks-for-comparative-toxicogenomics-and-biomarker-predictions
#10
Edik M Blais, Kristopher D Rawls, Bonnie V Dougherty, Zhuo I Li, Glynis L Kolling, Ping Ye, Anders Wallqvist, Jason A Papin
The laboratory rat has been used as a surrogate to study human biology for more than a century. Here we present the first genome-scale network reconstruction of Rattus norvegicus metabolism, iRno, and a significantly improved reconstruction of human metabolism, iHsa. These curated models comprehensively capture metabolic features known to distinguish rats from humans including vitamin C and bile acid synthesis pathways. After reconciling network differences between iRno and iHsa, we integrate toxicogenomics data from rat and human hepatocytes, to generate biomarker predictions in response to 76 drugs...
February 8, 2017: Nature Communications
https://www.readbyqxmd.com/read/28173837/insulin-like-growth-factor-1-receptor-activation-promotes-mammary-gland-tumor-development-by-increasing-glycolysis-and-promoting-biomass-production
#11
Bas Ter Braak, Christine L Siezen, Joo S Lee, Pooja Rao, Charlotte Voorhoeve, Eytan Ruppin, Jan Willem van der Laan, Bob van de Water
BACKGROUND: The insulin-like growth factor 1 (IGF1) signaling axis plays a major role in tumorigenesis. In a previous experiment, we chronically treated mice with several agonists of the IGF1 receptor (IGF1R). We found that chronic treatment with insulin analogues with high affinity towards the IGF1R (IGF1 and X10) decreased the mammary gland tumor latency time in a p53(R270H/+)WAPCre mouse model. Frequent injections with insulin analogues that only mildly activated the IGF1R in vivo (glargine and insulin) did not significantly decrease the tumor latency time in this mouse model...
February 7, 2017: Breast Cancer Research: BCR
https://www.readbyqxmd.com/read/28143607/optimal-knockout-strategies-in-genome-scale-metabolic-networks-using-particle-swarm-optimization
#12
Govind Nair, Christian Jungreuthmayer, Jürgen Zanghellini
BACKGROUND: Knockout strategies, particularly the concept of constrained minimal cut sets (cMCSs), are an important part of the arsenal of tools used in manipulating metabolic networks. Given a specific design, cMCSs can be calculated even in genome-scale networks. We would however like to find not only the optimal intervention strategy for a given design but the best possible design too. Our solution (PSOMCS) is to use particle swarm optimization (PSO) along with the direct calculation of cMCSs from the stoichiometric matrix to obtain optimal designs satisfying multiple objectives...
February 1, 2017: BMC Bioinformatics
https://www.readbyqxmd.com/read/28139686/identifying-the-metabolic-differences-of-a-fast-growth-phenotype-in-synechococcus-utex-2973
#13
Thomas J Mueller, Justin L Ungerer, Himadri B Pakrasi, Costas D Maranas
The photosynthetic capabilities of cyanobacteria make them interesting candidates for industrial bioproduction. One obstacle to large-scale implementation of cyanobacteria is their limited growth rates as compared to industrial mainstays. Synechococcus UTEX 2973, a strain closely related to Synechococcus PCC 7942, was recently identified as having the fastest measured growth rate among cyanobacteria. To facilitate the development of 2973 as a model organism we developed in this study the genome-scale metabolic model iSyu683...
January 31, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28133437/genome-scale-metabolic-modeling-of-archaea-lends-insight-into-diversity-of-metabolic-function
#14
REVIEW
ShengShee Thor, Joseph R Peterson, Zaida Luthey-Schulten
Decades of biochemical, bioinformatic, and sequencing data are currently being systematically compiled into genome-scale metabolic reconstructions (GEMs). Such reconstructions are knowledge-bases useful for engineering, modeling, and comparative analysis. Here we review the fifteen GEMs of archaeal species that have been constructed to date. They represent primarily members of the Euryarchaeota with three-quarters comprising representative of methanogens. Unlike other reviews on GEMs, we specially focus on archaea...
2017: Archaea: An International Microbiological Journal
https://www.readbyqxmd.com/read/28129330/meneco-a-topology-based-gap-filling-tool-applicable-to-degraded-genome-wide-metabolic-networks
#15
Sylvain Prigent, Clémence Frioux, Simon M Dittami, Sven Thiele, Abdelhalim Larhlimi, Guillaume Collet, Fabien Gutknecht, Jeanne Got, Damien Eveillard, Jérémie Bourdon, Frédéric Plewniak, Thierry Tonon, Anne Siegel
Increasing amounts of sequence data are becoming available for a wide range of non-model organisms. Investigating and modelling the metabolic behaviour of those organisms is highly relevant to understand their biology and ecology. As sequences are often incomplete and poorly annotated, draft networks of their metabolism largely suffer from incompleteness. Appropriate gap-filling methods to identify and add missing reactions are therefore required to address this issue. However, current tools rely on phenotypic or taxonomic information, or are very sensitive to the stoichiometric balance of metabolic reactions, especially concerning the co-factors...
January 2017: PLoS Computational Biology
https://www.readbyqxmd.com/read/28115376/genome-wide-identification-of-host-segregating-epidemiological-markers-for-source-attribution-in-campylobacter-jejuni
#16
Amandine Thépault, Guillaume Méric, Katell Rivoal, Ben Pascoe, Leonardos Mageiros, Fabrice Touzain, Valérie Rose, Véronique Béven, Marianne Chemaly, Samuel K Sheppard
: Campylobacter is among the most common worldwide causes of bacterial gastroenteritis. This organism is part of the commensal microbiota of numerous host species, including livestock, and these animals constitute potential sources of human infection. Molecular typing approaches, especially multi-locus sequence typing (MLST), have been used to attribute the source of human campylobacteriosis by quantifying the relative abundance of alleles, at 7 MLST loci, among isolates from animal reservoirs and human infection, implicating chicken as a major infection source...
January 23, 2017: Applied and Environmental Microbiology
https://www.readbyqxmd.com/read/28109590/phenotypic-genetic-and-single-nucleotide-polymorphism-marker-associations-between-calf-diseases-and-subsequent-performance-and-disease-occurrences-of-first-lactation-german-holstein-cows
#17
M Mahmoud, T Yin, K Brügemann, S König
A total of 31,396 females born from 2010 to 2013 in 43 large-scale Holstein-Friesian herds were phenotyped for calf and cow disease traits using a veterinarian diagnosis key. Calf diseases were general disease status (cGDS), calf diarrhea (cDIA), and calf respiratory disease (cRD) recorded from birth to 2 mo of age. Incidences were 0.48 for cGDS, 0.28 for cRD, and 0.21 for cDIA. Cow disease trait recording focused on the early period directly after calving in first parity, including the interval from 10 d before calving to 200 d in lactation...
March 2017: Journal of Dairy Science
https://www.readbyqxmd.com/read/28109168/integrated-omics-analysis-of-specialized-metabolism-in-medicinal-plants
#18
Amit Rai, Kazuki Saito, Mami Yamazaki
Medicinal plants are the rich source of highly diverse specialized metabolites with important pharmacological properties. Until recently, plant biologists were limited in their approach to explore biosynthetic pathways of these metabolites, mainly due to the scarcity of plant genomics resources. Recent advancements in the high-throughput large-scale analytical methods have enabled plant biologists to discover biosynthetic pathways for important plant-based medicinal metabolites. Reduced cost to generate omics datasets, and the development of computational tools for their analysis and integration have led to the elucidation of biosynthetic pathways of several plant origin bio-active metabolites...
January 21, 2017: Plant Journal: for Cell and Molecular Biology
https://www.readbyqxmd.com/read/28107392/upon-accounting-for-the-impact-of-isoenzyme-loss-gene-deletion-costs-anticorrelate-with-their-evolutionary-rates
#19
Christopher Jacobs, Luke Lambourne, Yu Xia, Daniel Segrè
System-level metabolic network models enable the computation of growth and metabolic phenotypes from an organism's genome. In particular, flux balance approaches have been used to estimate the contribution of individual metabolic genes to organismal fitness, offering the opportunity to test whether such contributions carry information about the evolutionary pressure on the corresponding genes. Previous failure to identify the expected negative correlation between such computed gene-loss cost and sequence-derived evolutionary rates in Saccharomyces cerevisiae has been ascribed to a real biological gap between a gene's fitness contribution to an organism "here and now" and the same gene's historical importance as evidenced by its accumulated mutations over millions of years of evolution...
2017: PloS One
https://www.readbyqxmd.com/read/28103880/the-use-of-genome-scale-metabolic-network-reconstruction-to-predict-fluxes-and-equilibrium-composition-of-n-fixing-versus-c-fixing-cells-in-a-diazotrophic-cyanobacterium-trichodesmium-erythraeum
#20
Joseph J Gardner, Nanette R Boyle
BACKGROUND: Computational, genome based predictions of organism phenotypes has enhanced the ability to investigate the biological phenomena that help organisms survive and respond to their environments. In this study, we have created the first genome-scale metabolic network reconstruction of the nitrogen fixing cyanobacterium T. erythraeum and used genome-scale modeling approaches to investigate carbon and nitrogen fluxes as well as growth and equilibrium population composition. RESULTS: We created a genome-scale reconstruction of T...
January 19, 2017: BMC Systems Biology
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