Master file, aggregates metabolite concentrations inside and outside the cell, protein copy number and flux estimates for metabolites in the core model. Based on all internal metabolite concentrations, external metabolite concentrations from growth curve data, flux of glucose, lactate and acetate based on growth curve data and protein copy number data for enzyme concentrations. Combines absolute and relative measurements and metabolomics measurements from different experiment to get an as complete as possible set of metabolite, enzyme and flux measurements to train the model. Contains data for 6,24 and 48h of adherent (bound to the bottom of the glass) growth in non stirred, non aerated conditions with only oxygen present of the initial medium. Metabolite concentration and protein concentration Mean and SD values are based on multiple measurements.
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Created: 1st May 2017 at 11:45
Last updated: 14th Jan 2019 at 15:00
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Version 1 (earliest) Created 1st May 2017 at 11:45 by Niels Zondervan
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Projects: MycoSynVac - Engineering Mycoplasma pneumoniae as a broad-spectrum animal vaccine, WURSynBio
Institutions: Wageningen University & Research
https://orcid.org/0000-0001-7049-5334Expertise: Bioinformatics, Systems Biology, Agent-based modelling, Dynamic modelling, Python, Java, R, pathogen host interaction, Molecular Biology
Tools: Copasi, libRoadrunner, Python, R, semantic web
I am a researcher (PhD student) working at Wageningen University & Research as bioinformatician and modeller. I am working as part of the MycoSynVac (http://www.mycosynvac.eu/) project on dynamic modelling of central carbon metabolism in M. pneumoniae, to be extended to full dynamic modelling of metabolism to be implemented in a whole cell model. I am also looking into possibilities to improve standards in model generation using semantic technologies, improving automatic generation, annotation ...
Projects that do not fall under current programmes.
Projects: Manchester Institute for Biotechnology, ICYSB 2015 - International Practical Course in Systems Biology, iRhythmics, INBioPharm, EmPowerPutida, Systo models, MycoSynVac - Engineering Mycoplasma pneumoniae as a broad-spectrum animal vaccine, Multiscale modelling of state transitions in the host-microbiome-brain network, Extremophiles metabolsim, NAD COMPARTMENTATION, Agro-ecological modelling, Bergen(Ziegler lab) project AF-NADase, NAMPT affinity, Stress granules, Modelling COVID-19 epidemics, Bio-crop, ORHIZON, Coastal Data, SASKit: Senescence-Associated Systems diagnostics Kit for cancer and stroke, hybrid sequencing, HOST-PAR, BioCreative VII, Boolean modeling of Parkinson disease map, Orphan cytochrome P450 20a1 CRISPR/Cas9 mutants and neurobehavioral phenotypes in zebrafish, Selective Destruction in Ageing, Viral Metagenomic, Synthetic biology in Synechococcus for bioeconomy applications (SynEco), testproject, SDBV ephemeral data exchanges, Test project, The BeeProject, PHENET, LiceVault, EbN1 Systems Biology, UMRPégase, DeCipher, Heat stress response of the red-tide dinoflagellate Prorocentrum cordatum, middle ear, datamgmt, Institut Pasteur's projects, The nucleus of Prorocentrum cordatum, qpcr, MRC-UNICORN, Test project for Sciender, qPCR, Artificial organelles_Pathogen digestion, Supplementary Information 2 associated with the manuscript entitled " Label free Mass spectrometry proteomics reveals different pathways modulated in THP-1 cells infected with therapeutic failure and drug resistance Leishmania infantum clinical isolates", FAIR Functional Enrichment, PTPN11 mutagenesis, Supplementary Information 2 associated with the manuscript entitled "Label free Mass spectrometry proteomics reveals different pathways modulated in THP-1 cells infected with therapeutic failure and drug resistance Leishmania infantum clinical isolates", iPlacenta- Placenta on a chip, Near Surface Wave-Coherent Measurements of Temperature and Humidity, A Meta-Analysis of Functional Recovery of Aphasia after Stroke by Acupuncture Combined with Language Rehabilitation Training, Phytoplankton phenology in the Bay of Biscay: using remote sensing to assess and raise awareness of climate change impacts on the sea, Master-BIDS, Endometriosis, Vitis Data Crop, MESI-STRAT Review, Establishing an innovative and transnational feed production approach for reduced climate impact of the aquaculture sector and future food supply, ARAX: a web-based computational reasoning system for translational biomedicine, Adaptation of Salmonella enterica, I AM FRONTIER, ., PhD Nicotinic Acetylcholine Receptors, SFB1361 playground, Amaizing, Conspicuous chloroplast with LHC‒PSI/II‒megacomplex and diverse PBPs in the marine dinoflagellate Prorocentrum cordatum, icpm-kth, SDBV/HITS, sample project, TestingSeek, Genomic Medicine, Remodeling of cIV, Virtual Human Platform for Safety Assessment, PROMISEANG, URGI, Matsutake, UNDESIRABLE EFFECTS OF POST COVID-19 VACCINATION: A DESCRIPTIVE STUDY, WINTER 2022, Semantic Table Interpretation in Chemistry, MS identification of L infantum proteins related to their drug resistance patterns for new drug targets identification and ecotoxicological evaluations of their environmental and interspecies impact, the Supplementary materials for paper, ToxiGen - Reproductive toxicity and transgenerational effects of petroleum mixtures in fish, PhotoBoost, Measurement of Fisheries Provisioning Services and its Pressure to Support Sustainability of Fisheries in The Jatigede Reservoir, Indonesia, FIsh data on 2022 in the Jatigede Reservoir, ImmPort - data sharing, MESI-Review 2024, REWIRED: comparative RNA-seq and ATAC-seq in six salmonids and six outgroup telest fishes, REWIRED, Data Repository, APPN Test Project, Enhanced Anticancer Effect of Thymidylate Synthase Dimer Disrupters Promoting Intracellular Accumulation, BIDS, BioRECIPE representation format, UMass Chan BioImage DMS Core_FAIR Metadata Templates, Function, control and engineering of microbial methylotrophy, Pectobacterium pangenome, New Optical Coherence Tomography Biomarkers Identified with Deep Learning for Risk Stratification of Patients with Age-related Macular Degeneration, Virulence-related genes expression in planktonic mixed cultures of Candida albicans and non-albicans Candida species, Screening of Secondary Plant Metabolites on Antihelmintic Activity in Ascaris scum, Munich Cluster for Systems Neurology, Test project May 2024, Biospecimen Collection Protocol, Winter Wheat (Triticum aestivum L.) Grain Yield, Quality, and Net Photosynthesis When Grown Under Semi-Transparent Cadmium Telluride Photovoltaic Modules Near Maturity, Benefit for All FAIR Data, Implementation of Nanopore Sequencing for Detection of Treatment Induced Transcriptomic and Epitranscriptomic Changes in Leukaemic Tumour Models, DPL, Glycogen Metabolism in bacteria, ILS Ceramide Ring Trial, Project Test, DeepCurate, Revisiting mutational resistance to ampicillin and cefotaxime in Haemophilus influenzae, tets, Cancer Systems Biology Consortium (CSBC), Biochemical characterization of the feedforward loop between CDK1 and FOXM1 in epidermal stem cells
Web page: Not specified
The MycoSynVac project AIMS at using cutting-edge synthetic biology methodologies to engineer Mycoplasma pneumoniae as a universal chassis for vaccination. Designing a universal Mycoplasma chassis that can be deployed as single- or multi-vaccine in a range of animal hosts. Annually, infections caused by Mycoplasma species in poultry, cows, and pigs result in multimillion Euro losses in the USA and Europe. There is no effective vaccination against many Mycoplasmas that infect pets, humans and farm ...
Programme: Independent Projects
Public web page: http://www.mycosynvac.eu/
Organisms: Mycoplasma pneumoniae
- To develop a whole-cell dynamic model framework of the metabolism of M. pneumoniae
- To build upon M. pneumoniae models to develop a genome-scale, constraint-based model of M. hyopneumoniae for vaccine optimization
- To deploy the metabolic model(s) to: 1) the rational design and optimization of the vaccine chassis; 2) aid the development of a higher-growth rate chassis; 3) assist the development of a nutrient optimized a serum-free growth medium and; 4) assess, at genome scale, the metabolic ...
Submitter: Niels Zondervan
Studies: Core Model predictions, Core Model training, Core model predicting combined mutations and perturbations, Genome-scale, constraint-based metabolic modeling of M. hyopneumonia, Metabolomics measurements, Proteomics analysis, Transcriptomics of M. pneumoniae at different times of growth
Assays: 40 samples data analysis - metabolite correlation, 40 samples, OE mutants of glycolysis and pyruvate metabolism enzymes com..., All samples data, Comparison of Kcat values from the model and values from literature, Construction and training of the core model, Construction of a Genome Scale Metabolitic model of M. hyopneumoniae, Dynamic model simmulation pipeline, Metabolic control analysis (local and global), Metabolomics external metabolites measurements, Metabolomics internal metabolites, time series measurements, Proteomics assay, Transcriptomics assay of M. pneumoniae at diferent times of growth, Validation by simulating independent mutant and perturbation samples
Snapshots: Snapshot 1, Snapshot 2, Snapshot 3
Internal metabolites concentrations for time series data (not pulse experiments) and for mutant OE, KO mutants and perturbations External metabolite concentrations for time series data (not pulse experiments) and for mutant OE, KO mutants and perturbations Mutant (OE, KO, perturbation) metabolite measurements
Submitter: Niels Zondervan
Investigation: Modelling of M. pneumoniae metabolism
Assays: 40 samples data analysis - metabolite correlation, All samples data, Metabolomics external metabolites measurements, Metabolomics internal metabolites, time series measurements
Snapshots: No snapshots
Training of the core model, parameter estimation using Evolutionary Programming using metabolomics, proteomics and some flux data. The core model contains reactions in glycolysis, pyruvate metabolism and ATPase
Submitter: Niels Zondervan
Investigation: Modelling of M. pneumoniae metabolism
Assays: Comparison of Kcat values from the model and values from literature, Construction and training of the core model
Snapshots: No snapshots
Proteomics Average and SD data for time series data, 6h, 12h, 24h, 48h,72, 96h per protein
Submitter: Niels Zondervan
Investigation: Modelling of M. pneumoniae metabolism
Assays: Proteomics assay
Snapshots: No snapshots
Training of the model, parameter estimation using Evolutionary Programming using metabolomics, proteomics and some flux data.
Submitter: Niels Zondervan
Biological problem addressed: Model Analysis Type
Investigation: Modelling of M. pneumoniae metabolism
Study: Core Model training
Organisms: No organisms
Models: Core model of glycolysis, pyruvate metabolism A..., Dynamic model of glycolysis, pyruvate metabolis...
SOPs: No SOPs
Data files: Master file, metabolite concentration, protein ..., Model training, parameter estimation, Parameter estmimation for model with addition o..., Parameter scan for the model with addition of o...
Snapshots: No snapshots
Protein copy number at 6h, 12h, 24h, 48h, 72h, 96h, average values and SD for the measurements
Submitter: Niels Zondervan
Assay type: Proteomics
Technology type: Technology Type
Investigation: Modelling of M. pneumoniae metabolism
Study: Proteomics analysis
Organisms: No organisms
SOPs: No SOPs
Data files: Master file, metabolite concentration, protein ..., Proteomics, protein copy number measured over time
Snapshots: No snapshots
Metabolomics time series measurements for internal metabolites for 6h, 24h and 48h for multiple experiments. Largely based on MAss spectrometry, bioluminescence kits to measure NAD, NADH at 24h, other time points are infered from relative measurements times the absolute measurements at 24h.
Submitter: Niels Zondervan
Assay type: Experimental Assay Type
Technology type: Mass Spectrometry
Investigation: Modelling of M. pneumoniae metabolism
Study: Metabolomics measurements
Organisms: No organisms
SOPs: Metabolomics perturbation samples preparation
Data files: 40 samples internal metabolite concentrations F..., All_samples_mean_meatbolite_concentration&enzym..., Internal metabolite concentraitons for mutants,..., Internal metabolite concentrations time series, Master file, metabolite concentration, protein ..., Metabolites all experiments, relative measurements
Snapshots: No snapshots
Measurements of external metabolites based on growth curve data. Flux estimates for uptake of external metabolites such as glucose and production rates for external metabolites lactate and acetate
Submitter: Niels Zondervan
Assay type: Experimental Assay Type
Technology type: Technology Type
Investigation: Modelling of M. pneumoniae metabolism
Study: Metabolomics measurements
Organisms: No organisms
SOPs: No SOPs
Data files: External metabolite concentration times series, Master file, metabolite concentration, protein ...
Snapshots: No snapshots