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Biological reaction network

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https://www.readbyqxmd.com/read/28214907/a-pilot-study-of-bacterial-regrowth-in-water-pipelines
#1
Laura Mancini, Stefania Marcheggiani, Cinzia Grasso, Cristina Romanelli, Antonio Mistretta, Marina Marranzano
Bacterial regrowth in water distribution systems results in deterioration of bacteriological quality of drinking water, as well as accelerated corrosion of the pipelines. The aim of the present study was to analyze the phenomena of colonization and bacterial regrowth in source water and in the water distribution systems of three distribution networks in the province of Catania (Sicily, Italy). The BART™ (Biological Activity Reaction Test) method was used, which is also capable of determining the potential aggressiveness of microbial species in water...
November 2016: Igiene e Sanità Pubblica
https://www.readbyqxmd.com/read/28212624/understanding-the-response-to-endurance-exercise-using-a-systems-biology-approach-combining-blood-metabolomics-transcriptomics-and-mirnomics-in-horses
#2
Núria Mach, Yuliaxis Ramayo-Caldas, Allison Clark, Marco Moroldo, Céline Robert, Eric Barrey, Jesús Maria López, Laurence Le Moyec
BACKGROUND: Endurance exercise in horses requires adaptive processes involving physiological, biochemical, and cognitive-behavioral responses in an attempt to regain homeostasis. We hypothesized that the identification of the relationships between blood metabolome, transcriptome, and miRNome during endurance exercise in horses could provide significant insights into the molecular response to endurance exercise. For this reason, the serum metabolome and whole-blood transcriptome and miRNome data were obtained from ten horses before and after a 160 km endurance competition...
February 17, 2017: BMC Genomics
https://www.readbyqxmd.com/read/28212602/happi-2-a-comprehensive-and-high-quality-map-of-human-annotated-and-predicted-protein-interactions
#3
Jake Y Chen, Ragini Pandey, Thanh M Nguyen
BACKGROUND: Human protein-protein interaction (PPI) data is essential to network and systems biology studies. PPI data can help biochemists hypothesize how proteins form complexes by binding to each other, how extracellular signals propagate through post-translational modification of de-activated signaling molecules, and how chemical reactions are coupled by enzymes involved in a complex biological process. Our capability to develop good public database resources for human PPI data has a direct impact on the quality of future research on genome biology and medicine...
February 17, 2017: BMC Genomics
https://www.readbyqxmd.com/read/28203405/weighted-gene-co-expression-network-analysis-in-identification-of-metastasis-related-genes-of-lung-squamous-cell-carcinoma-based-on-the-cancer-genome-atlas-database
#4
Feng Tian, Jinlong Zhao, Xinlei Fan, Zhenxing Kang
BACKGROUND: Lung squamous cell carcinoma (lung SCC) is a common type of malignancy. Its pathogenesis mechanism of tumor development is unclear. The aim of this study was to identify key genes for diagnosis biomarkers in lung SCC metastasis. METHODS: We searched and downloaded mRNA expression data and clinical data from The Cancer Genome Atlas (TCGA) database to identify differences in mRNA expression of primary tumor tissues from lung SCC with and without metastasis...
January 2017: Journal of Thoracic Disease
https://www.readbyqxmd.com/read/28193218/a-combined-model-reduction-algorithm-for-controlled-biochemical-systems
#5
Thomas J Snowden, Piet H van der Graaf, Marcus J Tindall
BACKGROUND: Systems Biology continues to produce increasingly large models of complex biochemical reaction networks. In applications requiring, for example, parameter estimation, the use of agent-based modelling approaches, or real-time simulation, this growing model complexity can present a significant hurdle. Often, however, not all portions of a model are of equal interest in a given setting. In such situations methods of model reduction offer one possible approach for addressing the issue of complexity by seeking to eliminate those portions of a pathway that can be shown to have the least effect upon the properties of interest...
February 13, 2017: BMC Systems Biology
https://www.readbyqxmd.com/read/28191459/epidermal-growth-factor-signaling-towards-proliferation-modeling-and-logic-inference-using-forward-and-backward-search
#6
Adrián Riesco, Beatriz Santos-Buitrago, Javier De Las Rivas, Merrill Knapp, Gustavo Santos-García, Carolyn Talcott
In biological systems, pathways define complex interaction networks where multiple molecular elements are involved in a series of controlled reactions producing responses to specific biomolecular signals. These biosystems are dynamic and there is a need for mathematical and computational methods able to analyze the symbolic elements and the interactions between them and produce adequate readouts of such systems. In this work, we use rewriting logic to analyze the cellular signaling of epidermal growth factor (EGF) and its cell surface receptor (EGFR) in order to induce cellular proliferation...
2017: BioMed Research International
https://www.readbyqxmd.com/read/28167777/reaction-dynamics-analysis-of-a-reconstituted-escherichia-coli-protein-translation-system-by-computational-modeling
#7
Tomoaki Matsuura, Naoki Tanimura, Kazufumi Hosoda, Tetsuya Yomo, Yoshihiro Shimizu
To elucidate the dynamic features of a biologically relevant large-scale reaction network, we constructed a computational model of minimal protein synthesis consisting of 241 components and 968 reactions that synthesize the Met-Gly-Gly (MGG) peptide based on an Escherichia coli-based reconstituted in vitro protein synthesis system. We performed a simulation using parameters collected primarily from the literature and found that the rate of MGG peptide synthesis becomes nearly constant in minutes, thus achieving a steady state similar to experimental observations...
February 6, 2017: Proceedings of the National Academy of Sciences of the United States of America
https://www.readbyqxmd.com/read/28165059/combined-analysis-of-mrna-and-mirna-identifies-dehydration-and-salinity-responsive-key-molecular-players-in-citrus-roots
#8
Rangjin Xie, Jin Zhang, Yanyan Ma, Xiaoting Pan, Cuicui Dong, Shaoping Pang, Shaolan He, Lie Deng, Shilai Yi, Yongqiang Zheng, Qiang Lv
Citrus is one of the most economically important fruit crops around world. Drought and salinity stresses adversely affected its productivity and fruit quality. However, the genetic regulatory networks and signaling pathways involved in drought and salinity remain to be elucidated. With RNA-seq and sRNA-seq, an integrative analysis of miRNA and mRNA expression profiling and their regulatory networks were conducted using citrus roots subjected to dehydration and salt treatment. Differentially expressed (DE) mRNA and miRNA profiles were obtained according to fold change analysis and the relationships between miRNAs and target mRNAs were found to be coherent and incoherent in the regulatory networks...
February 6, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28150239/analysis-of-cysteine-redox-post-translational-modifications-in-cell-biology-and-drug-pharmacology
#9
Revati Wani, Brion W Murray
Reversible cysteine oxidation is an emerging class of protein post-translational modification (PTM) that regulates catalytic activity, modulates conformation, impacts protein-protein interactions, and affects subcellular trafficking of numerous proteins. Redox PTMs encompass a broad array of cysteine oxidation reactions with different half-lives, topographies, and reactivities such as S-glutathionylation and sulfoxidation. Recent studies from our group underscore the lesser known effect of redox protein modifications on drug binding...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/28139706/identification-of-mirna-lncrna-and-mrna-associated-cerna-networks-and-potential-biomarker-for-melas-with-mitochondrial-dna-a3243g-mutation
#10
Wei Wang, Qianqian Zhuang, Kunqian Ji, Bing Wen, Pengfei Lin, Yuying Zhao, Wei Li, Chuanzhu Yan
Researchers in the field of mitochondrial biology are increasingly unveiling of the complex mechanisms between mitochondrial dysfunction and noncoding RNAs (ncRNAs). However, roles of ncRNAs underlying mitochondrial myopathy remain unexplored. The aim of this study was to elucidate the regulating networks of dysregulated ncRNAs in Mitochondrial myopathy, Encephalopathy, Lactic Acidosis, and Stroke-like episodes (MELAS) with mitochondrial DNA (mtDNA) A3243G mutation, which might make contributions to the unveiling of the complex mechanisms underlying mitochondrial myopathy and, possibly, new tools applicable to clinical practice...
January 31, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28129330/meneco-a-topology-based-gap-filling-tool-applicable-to-degraded-genome-wide-metabolic-networks
#11
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/28117353/the-global-relationship-between-chromatin-physical-topology-fractal-structure-and-gene-expression
#12
L M Almassalha, A Tiwari, P T Ruhoff, Y Stypula-Cyrus, L Cherkezyan, H Matsuda, M A Dela Cruz, J E Chandler, C White, C Maneval, H Subramanian, I Szleifer, H K Roy, V Backman
Most of what we know about gene transcription comes from the view of cells as molecular machines: focusing on the role of molecular modifications to the proteins carrying out transcriptional reactions at a loci-by-loci basis. This view ignores a critical reality: biological reactions do not happen in an empty space, but in a highly complex, interrelated, and dense nanoenvironment that profoundly influences chemical interactions. We explored the relationship between the physical nanoenvironment of chromatin and gene transcription in vitro...
January 24, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28114351/scalable-parameter-estimation-for-genome-scale-biochemical-reaction-networks
#13
Fabian Fröhlich, Barbara Kaltenbacher, Fabian J Theis, Jan Hasenauer
Mechanistic mathematical modeling of biochemical reaction networks using ordinary differential equation (ODE) models has improved our understanding of small- and medium-scale biological processes. While the same should in principle hold for large- and genome-scale processes, the computational methods for the analysis of ODE models which describe hundreds or thousands of biochemical species and reactions are missing so far. While individual simulations are feasible, the inference of the model parameters from experimental data is computationally too intensive...
January 2017: PLoS Computational Biology
https://www.readbyqxmd.com/read/28109561/lithium-reverses-behavioral-and-axonal-transport-related-changes-associated-with-ank3-bipolar-disorder-gene-disruption
#14
Michael G Gottschalk, Melanie P Leussis, Tillmann Ruland, Klaudio Gjeluci, Tracey L Petryshen, Sabine Bahn
Ankyrin 3 (ANK3) has been implicated as a genetic risk factor for bipolar disorder (BD), however the resulting pathophysiological and treatment implications remain elusive. In a preclinical systems biological approach, we aimed to characterize the behavioral and proteomic effects of Ank3 haploinsufficiency and chronic mood-stabilizer treatment in mice. Psychiatric-related behavior was evaluated with the novelty-suppressed feeding (NSF) paradigm, elevated plus maze (EPM) and a passive avoidance task (PAT). Tandem mass spectrometry (MS(E)) was employed for hippocampal proteome profiling...
January 18, 2017: European Neuropsychopharmacology: the Journal of the European College of Neuropsychopharmacology
https://www.readbyqxmd.com/read/28107392/upon-accounting-for-the-impact-of-isoenzyme-loss-gene-deletion-costs-anticorrelate-with-their-evolutionary-rates
#15
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
#16
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
https://www.readbyqxmd.com/read/28098890/characterization-of-the-microrna-profile-in-early-stage-cervical-squamous-cell-carcinoma-by-next-generation-sequencing
#17
Wansong Lin, Mei Feng, Guilin Chen, Zhifeng Zhou, Jieyu Li, Yunbin Ye
Squamous cell carcinoma (SCC) is histologically the most prominent type of cervical cancer. There is accumulating evidence suggesting that microRNAs (miRNAs) play important regulatory roles in the biological processes of cervical squamous cell carcinoma (CSCC). Deciphering the miRNA regulatory network in CSCC could deepen our understanding at the molecular level of CSCC initiation and progression. In the present study, we performed next‑generation sequencing (NGS) to profile miRNA expression in 3 pairs of early-stage CSCC samples...
January 16, 2017: Oncology Reports
https://www.readbyqxmd.com/read/28094815/drd2-co-expression-network-and-a-related-polygenic-index-predict-imaging-behavioral-and-clinical-phenotypes-linked-to-schizophrenia
#18
G Pergola, P Di Carlo, E D'Ambrosio, B Gelao, L Fazio, M Papalino, A Monda, G Scozia, B Pietrangelo, M Attrotto, J A Apud, Q Chen, V S Mattay, A Rampino, G Caforio, D R Weinberger, G Blasi, A Bertolino
Genetic risk for schizophrenia (SCZ) is determined by many genetic loci whose compound biological effects are difficult to determine. We hypothesized that co-expression pathways of SCZ risk genes are associated with system-level brain function and clinical phenotypes of SCZ. We examined genetic variants related to the dopamine D2 receptor gene DRD2 co-expression pathway and associated them with working memory (WM) behavior, the related brain activity and treatment response. Using two independent post-mortem prefrontal messenger RNA (mRNA) data sets (total N=249), we identified a DRD2 co-expression pathway enriched for SCZ risk genes...
January 17, 2017: Translational Psychiatry
https://www.readbyqxmd.com/read/28071851/preprogramming-complex-hydrogel-responses-using-enzymatic-reaction-networks
#19
Sjoerd G J Postma, Ilia N Vialshin, Casper Y Gerritsen, Min Bao, Wilhelm T S Huck
The creation of adaptive matter is heavily inspired by biological systems. However, it remains challenging to design complex material responses that are governed by reaction networks, which lie at the heart of cellular complexity. The main reason for this slow progress is the lack of a general strategy to integrate reaction networks with materials. Herein we use a systematic approach to preprogram the response of a hydrogel to a trigger, in this case the enzyme trypsin, which activates a reaction network embedded within the hydrogel...
January 10, 2017: Angewandte Chemie
https://www.readbyqxmd.com/read/28065897/trfba-an-algorithm-to-integrate-genome-scale-metabolic-and-transcriptional-regulatory-networks-with-incorporation-of-expression-data
#20
Ehsan Motamedian, Maryam Mohammadi, Seyed Abbas Shojaosadati, Mona Heydari
MOTIVATION: Integration of different biological networks and data-types has been a major challenge in systems biology. The present study introduces the transcriptional regulated flux balance analysis (TRFBA) algorithm that integrates transcriptional regulatory and metabolic models using a set of expression data for various perturbations. RESULTS: TRFBA considers the expression levels of genes as a new continuous variable and introduces two new linear constraints...
January 8, 2017: Bioinformatics
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