Investigations
What is an Investigation?Filters
The figures 2, 3, 4 and 6 in the main text of the manuscript: "Inhibition of the glucocorticoid-activating enzyme 11β-hydroxysteroid dehydrogenase type 1 drives concurrent 11-oxygenated androgen excess", submitted to FASEB by Lina Schiffer, Imken Oestlund, Jacky Snoep, Lorna C. Gilligan, Angela E. Taylor, Alexandra J. Sinclair, Rishi Singhal, Adrian Freeman, Ramzi Ajjan, Ana Tiganescu, Wiebke Arlt and Karl-Heinz Storbeck, are reproduced in Mathematica notebooks. The notebooks and the corresponding ...
Submitter: Jacky Snoep
Studies: CBX inhibition of HSD11B1 and effect on HSD11B1/AKR1C3 incubations, Computational analysis of combined HSD11B1/AKR1C3 ratios and HSD11B1 inh..., HSD11B1/AKR1C3 ratio experiments, Inhibition of HSD11B1 in adipose tissue
Assays: Data for HSD11B1/AKR1C3 ratio experiment in Fig. 2, Experimental data for HSD11B1/AKR1C3 incubation with CBX inhibition, Inhibition of HSD11B1 in adipose tissue, Model analysis for HSD11B1/AKR1C3 ratio experiment, Model for computational analysis of HSD11B1/AKR1C3 ratio variation and H..., Model simulations of HSD11B1/AKR1C3 incubation and cortisone and 11KA4 i..., Simulation of HSD11B1 inhibition in human adipose tissue
Here we collect curated data to be integrated into public repositories
Submitter: Lars Wöhlbrand
Studies: Heat stress response of Prorocentrum cordatum
Assays: Metabolite analyses, Proteomic analyses
Current chemical concept recognition tools have demonstrated significantly lower performance for in full-text articles than in abstracts. Improving automated full-text chemical concept recognition can substantially accelerate manual indexing and curation and advance downstream NLP tasks such as relevant article retrieval. Participating in BioCreative Track NLM-Chem we focus identifying chemicals in full-text articles (i.e. named entity recognition and normalization).
In biomedical text mining, named entity recognition (NER) is an important task used to extract information from biomedical articles. Improving the NER’s performance will directly have a positive impact on extracting relations between those entities. In recent years, deep learning has become the main research direction of NER due to the development of effective models. Language transformer models like e.g. BERT are frequently used because they enable the specialisation of models by domain-specific ...
TA3 focusses on the services, service enabling tools, and software that NFDI4Health will provide to the user community. Most services and tools will be based on open source software that has already been developed by the (co-)applicants or by the broader scientific developer community. In close cooperation with TA4 and TA5, use case requirements and community feedback will help to further develop these tools and to foster interoperability of currently fragmented IT solutions for storage of metadata, ...
nfdi4health Dokumente und (interne) Daten, SOPs, etc., die relevant für das gesamte Konsortium sind
Key activities of TA1 concern the establishment of functional bodies and of the project governance for NFDI4Health.
NFDI4Health task area 2 targets core deficits in medical sciences, i.e. the lack of harmonised standards for data and data quality management in clinical trials, public health surveys, and epidemiological cohorts, as well as the lack of information on and access to relevant standards. By making standards available, TA2 will improve the findability, accessibility and interoperability of existing and novel data bodies. For this purpose, guidelines, standards and policies on data management and ...
Submitter: Martin Golebiewski
Studies: NFDI4Health T2.1: Data management and publication policies, NFDI4Health T2.2: Data and metadata standards and integration, NFDI4Health T2.3: Data quality and data provenance, NFDI4Health T2.4: Standardisation of health data access and interoperabi...
Assays: No Assays
With its focus on interaction, networking and exchange, task area 4 addresses the overall NFDI4Health Key Objective to support cooperation between clinical research, epidemiological and public health communities. It also provides training and education for the health research community and beyond, focusing on FAIR data principles.
Shared Space on OneDrive: https://onedrive.live.com/?id=4E57D2DCFD31954C%213715&cid=4E57D2DCFD31954C
The main objective of task area 5 of NFDI4Health is to implement or to at least explore the possibilities to implement these infrastructure components in specific use cases which reflect core needs of the scientific community related to health data research. The use cases will address a range of areas which will lay the ground for future expansion for full coverage of the broad range of data collected in health research.
Data protection regulations have to be taken into account on many levels of the infrastructure developed by NFDI4Health. Moreover, the health data managed by NFDI4Health belong to the so-called special categories of personal data, the processing of which is subject to particularly strict data protection requirements. But nevertheless, data protection law contains a variety of regulatory approaches of data processing for scientific research purposes, which are all aimed at a privileged treatment ...
Submitter: Theresa Kouril
Studies: 3-Bromopyruvate (3BrP) titrations, Data analysis and calculation of control coefficients, Iodoacetic acid (IAA) titrations in cancer cell lines
Assays: GAPDH and flux inhibition in MCF7 and MDA231cells, HK, GAPDH and flux inhibition in MDA231 cells, Incubation time for inhibitor treatment, Target verification/ Specificity of 3BrP in glycolysis, Traget verification/ Specificity of IAA in glycolysis
The investigation entails the construction and validation of a detailed mathematical model for glycolysis erythrocytes infected with the malaria parasite Plasmodium falciparum in the blood stage form.
Submitter: Dawie van Niekerk
Studies: Analysis of model for malaria-infected erythrocytes, Intra-erythrocytic malaria parasite volumes, Validation of model for malaria-infected erythrocytes
Assays: Flux vs external glucose, Flux vs parasitaemia, GLC incubation, Inhibition of glycolytic flux, Malaria parasite volume determinations, Metabolic control analysis, Stage specific fluxes, Steady-state
Submitter: Charles Demurjian
Studies: Integrating endometrial proteomic and single cell transcriptomic pipelin..., Organoid co-culture model of the cycling human endometrium in a fully-de...
Assays: All Metadata, All Metadata, Cell Culture Imaging - Data Linked, Cell Culture and Organoid Generation - Metadata, DNA Extraction - Metadata, DNA Extraction - Metadata, Elisa - Data Linked, Gene Expression Analysis - Data Linked, Immunohistochemistry - Data Linked, Linear Mixed Model - Data Linked, Luminex - Data Linked, Mass Spectrometry Proteomics - Data Linked, Mass Spectrometry Proteomics Analysis - Data Linked, Patient Visit - Metadata, Patient Visit - Metadata, Short Read Sequencing - Data Linked, Single Cell Expression Matrix Analysis - Data Linked, Single Cell Sequencing - Data Linked, Tissue Collection - Metadata, Tissue Collection - Metadata
Submitter: Christoff Odendaal
Studies: Model analysis, Model construction, Model validation
Assays: ACAD activity partitioning, Comparing acyl-CoA dehydrogenase deficiencies, HepG2 oxygen consumption, Kinetics Minireviews, MCADD patient personalised modelling, MCADD rescue titration, Metabolic control analysis, Models, Predicting urinary acylcarnitines under metabolic decompensation., Whole-body ketogenic flux
User metadata is an essential part of experimental data. Scientists need to understand underlying conditions and experimental procedures in order to model or investigate relevant biological questions. Currently, only a small fraction of the High Content SCreening (HCS) investigations are deposited for reuse by the community, and an even smaller fraction of that data is standards-compliant. For reusing data, scientists need to be able to understand how data was generated, under which experimental ...
Submitter: Katy Wolstencroft
Studies: MIHCSME templates
Assays: General MIHCSME template, MIHCSME template example for "Integration of biological data by kernels ..., MIHCSME template example for "Uncovering the signaling landscape control..., MIHCSME template example for compound screen on HepG2 CHOP-GFP reporter ..., MIHCSME template example for “Temporal single cell cellular stress respo...
Submitter: Charles Demurjian
Studies: Impact of fibrinogen, fibrin thrombi and thrombin on cancer cell extrava...
Assays: Cancer Cell Extravasation Analysis - Data Linked, Clot Modeling Analysis - Data Linked, Device Imaging - Data Linked, Flow Cytometry - Data Linked, Flow Cytometry Analysis - Data Linked, Microfluidic Device Creation - Metadata, Permeability Analysis - Data Linked
Design, synthesis, computational studies and biological evaluation of antiparasitic dinitroaniline-ether phospholipid hybrids
Submitter: Ina Poehner
Studies: Computational identification of potential dinitroaniline binding sites i..., Docking studies of trifluraline and the dinitroaniline-etherphospholipid...
Assays: Comparative electrostatic analysis of dinitroaniline-sensitive and -resi..., Induced-fit docking studies, Multiple sequence alignment, Preparation of multimeric tubulin docking receptors
Virtual Tissues (VTs) are multi-scale, multi-cellular, mechanistic Agent Based Models (ABMs) that predict the spatio-temporal dynamics of biological tissues. While multiple platforms exist for constructing and executing VT models (listed below in the section on VT Modeling Frameworks), models developed for different platforms are currently incompatible and not accessible or executable in a common location, impeding model discovery, validation and reuse. FAIRSPACE will initially provide support ...
This investigation serves as supplementary material for a SWAT4HCLS publication that describes minimum metadata and provenance requirements for reproducible enrichment analysis results.
Functional enrichment analysis is an essential downstream process in high throughput omics studies, such as transcriptomics and proteomics. By using the Gene Ontology (GO) and its annotations (GOA), underlying functional patterns of over-representation can be identified, leading to ...
Aims: The immune response is important for mediating the benefit of cardiac cell therapies. The role of varied immune responses in influencing the outcome of cardiomyocyte cell transplantation after myocardial infarction was investigated. Methods and Results: Cardiac flow cytometric analysis of C57BL/6J and T- and B cell deficient Rag2del mice revealed varied CD11b, natural killer and dendritic cell responses following sham injection and a disparate macrophage response after myocardial infarction. ...
Submitter: Markus Wolfien
Studies: Single nuclei data analysis
Data, FMv2 model and simulations for the Chew et al. 2017 paper (bioRxiv https://doi.org/10.1101/105437 ), updated in 2022, mostly on the prr7 prr9 double mutant, with controls in lsf1 and prr7 single mutants. This is one of the outputs from the EU FP7 TiMet project, https://fairdomhub.org/projects/92.
This data archive was updated during submisson to the journal _in Silico _Plants in 2022, and a Snapshot was published. The updates are not changing the core data or the FMv2 model that has been ...
Submitter: Andrew Millar
Studies: Analysis of Framework Model version 2 (FMv2), Construction of Framework Model version 2 (FMv2), Test of FMv2, follow-on: mechanisms of malate/fumarate accumulation, Test of FMv2, photoperiodic flowering and hypocotyl elongation, Test of FMv2, study Gibberellins 1, Test of FMv2, study Laurel & Hardy 1, Test of FMv2, study Laurel & Hardy 2, Test of FMv2, study Laurel & Hardy 3, Tests of FMv2, compilations and figures
Assays: Assimilation and partitioning of 14CO2 at night, Biomass and metabolites, Biomass and metabolites, Biomass and metabolites, Biomass, leaf area and gas exchange data, Biomass, leaf number and metabolites, Circadian period analysis, Composition of FMv2, FMv2 simulation, FMv2 simulation, FMv2 simulation, Mizuno lab, Flowering time in clock mutants, Mizuno lab, Hypocotyl length in clock mutants, Relationship among FMv2 outputs, Sensitivity analysis of FMv2, Simulating clock gene expression with model P2011.1.2, Thiamine vitamers, TiMet WP1.1, Clock gene expression in clock mutants, TiMet WP1.1a Metabolite analysis of clock mutants
Short Name: T21_SXPsysbio Title: Use a systems biology approach to identify regulatory bottlenecks in SxPv1 Description: Samples from SXPv1.0 plants as well as sister nulls (progeny from the original transgenic event in which the transgene has segregated) and wild type will be grown and leaf samples taken for RNA extraction and profiling of primary metabolites and volatiles (target pheromones as well as potential derivatives) (P1, P5). Phenotypic and GC-MS data will be obtained and analysed from ...
Submitter: Marko Petek
Studies: Investigation files, _S_P1_SPv10T0andT1, _S_P1_SPv10T2andT3, _S_P1_SPv1TransientExp, _S_P1_SxPAltAcTransferases, _S_P1_SxPv10vsSxP12, _S_P1_SxPv12T2, _S_P4_CoExpNetViz, _S_P4_DiNAR, _S_P4_GAtreat, _S_P4_SxP10-newG-DE, _S_P4_SxP10-oldG-DE, _S_P4_SxP1012-finalG, _S_P4_SxP12-newG-DE
Assays: _A_00_SxP_photos-phenotyping, _A_01_RNA1-RNAisol, _A_01_SxP_Data_Only-CoExp, _A_01_SxPv12_fastq-QC, _A_01_mapping-CLC, _A_01_toNewGenome-CLC-mapping, _A_02_FastQC-bioinfo, _A_02_Nb_datasets-CoExp, _A_02_SxPv12_mapping-CLC, _A_02_limmavoomDE-R, _A_02a_limmavoom-multim-R, _A_02a_limmavoomDEbylines-R, _A_02b_limmavoom-uniquem-R, _A_03_MapMan-visualisation, _A_03_NewGenome-MapMan, _A_03_SxPv12_limmavoom_DE-R, _A_03_mapping-CLC, _A_03a_mapping2-STAR, _A_04_GSEA-Stat, _A_04_MapManBINenrich-GSEA, _A_04_Mercator-bioinfo, _A_04_SxPv12_GeneSetEnrichment-RNAseg-GSEA, _A_05_DEstat-R, _A_05_Phenotype_analysis-Stat, _A_05_VOCcomp-Bioinfo, _A_05a_DEstat2-R, _A_05b_DElow-wt-R, _A_06_MapMan-bioinfo, _A_06_SxPv1-0_Illumina-Centrifuge, _A_07_NbAUSv1-0-InterPro, _A_07_transgenes-CLC, _A_CKN-DiNAR, _A_CKN_NbL35-DiNAR, _A_LeavesSxPv10vsv12-GCMS, _A_P4_v10v12-phenotyping, _A_PIS-DiNAR, _A_PIS-SxPv12-DiNAR, _A_PIS_NbL35-DiNAR, _A_RootsSxPv10vsv12-GCMS, _A_SP10T0Analysis-GCMS, _A_SP10T1Analysis-GCMS, _A_SPv10EaDActAnalysis-GCMS, _A_SPv10T2Analysis-GCMS, _A_SPv10T3Analysis-GCMS, _A_SPv10_phenotyping-Images, _A_SxPAlternativeAcetyltransferases-GCMS, _A_SxPv10vsv12-phenotyping, _A_SxPv12ScreeningT2-GCMS, _A_TransientSPv11andSPv12-GCMS, _I_T21_SXPsysbio-files, _S_P1_SPv10T0andT1-files, _S_P1_SPv10T2andT3-files, _S_P1_SPv1TransientExp-files, _S_P1_SxPAltAcTransferases-files, _S_P1_SxPv10vsSxP12-files, _S_P1_SxPv12T2-files, _S_P4_CoExpNetViz-files, _S_P4_DiNAR-files, _S_P4_GAtreat-files, _S_P4_SxP10-newG-DE-files, _S_P4_SxP10-oldG-DE-files, _S_P4_SxP1012-finalG-files, _S_P4_SxP12-newG-DE-files
We performed topological analysis on pathways from a harmonised dataset containing pathways from the COVID-19 Disease Map, WikiPathways, and Reactome. The analysis was done using Vanted, SBGN-ED, and LMME which support the import and export of several standard formats (such as SBML, and SBGN-ML).
Submitter: Felicia Burtscher
Studies: Topological analysis of individual pathway networks and aggregated netwo...
Assays: No Assays
Members of the genus Aromatoleum are cosmopolitan in diverse habitats and utilize a broad range of recalcitrant organic molecules coupled to denitrification or O2-respiration. To gain a holistic understanding of the model organism A. aromaticum EbN1T, we here studied its catabolic network dynamics in response to 3-(4-hydroxyphenyl)propanoate, phenylalanine, 3-hydroxybenzoate, benzoate and acetate utilized under nitrate-reducing vs. oxic conditions. Multi-OMICS (transcriptome, proteome and metabolome) ...
Submitter: Meina Neumann-Schaal
Studies: Experimental multi-OMICS, Genome re-annotation, Metabolic Modelling
Assays: CoA LC/MS Data, Cultivation for multi-OMICS, EbN1 Genome re-annotation, Metabolic modeling of EbN1, Proteomic data, Scenario files for Metano metabolic modeling, Transcriptomic data, non-volatile metabolites GC/MS
Data integration is an essential part of Systems Biology. Scientists need to combine different sources of information in order to model biological systems, and relate those models to available experimental data for validation. Currently, only a small fraction of the data and models produced during Systems Biology investigations are deposited for reuse by the community, and only a smaller fraction of that data is standards compliant, semantic content. By embedding semantic technologies into familiar ...
Submitter: Olga Krebs
Studies: Creating Templates for Proteomics, Creating Templates for Transcriptomics, Creating template for metabolomics data
Assays: Affy Transcriptomics Templates, Chip-chip Excel Template, General Transcriptomics Templates, Metabolomics Master Template, NimbleGen Transcriptomics Templates, Proteomics Template (gel electrophoresis), Proteomics Templates (Mass spectrometry), RT-PCR Excel Template, Standard-based Excel template for metabolomics data
Short Name: 03_Omics Title: Omics analysis of RNAi response in CPB Description: Transcriptomics and metagenome changes upon feeding CPB larvae with dsRNA Phenodata: ./phenodata_20210115.txt pISA Investigation creation date: 2021-01-15 pISA Investigation creator: Marko Petek Principal investigator: Marko Petek License: CC BY 4.0 Sharing permission: Private Upload to FAIRDOMHub: Yes
Submitter: Marko Petek
Studies: Investigation files, _S_01_ns-dsRNA_trans, _S_02_metagenome_resp
Assays: _A_01-DNAisol, _A_01_RNA-Seq_dsEGFP-NGS, _A_02-DNASeq, _A_02_CLC-RNASeq, _A_03-Centrifuge, _A_04_DE_divers-R, _A_05_extr_reads-rcf, _A_06_extr_bact-assembly, _A_07_allReads_meta-assembly, _I_03_Omics-files, _S_01_ns-dsRNA_trans-files, _S_02_metagenome_resp-files
Short Name: 02_FieldTrials Title: Field trials Description: Field trials - spraying CPB larvae on potato field with the insecticidal dsRNA validated for effectiveness in the laboratory trials Phenodata: ./phenodata_20210115.txt pISA Investigation creation date: 2021-01-15 pISA Investigation creator: Marko Petek Principal investigator: Marko Petek License: CC BY 4.0 Sharing permission: Private Upload to FAIRDOMHub: Yes
Submitter: Marko Petek
Studies: Investigation files, _S_01_2019, _S_02_2020
Assays: _A_01_jun19-wet, _A_01_jun20-wet, _I_02_FieldTrials-files, _S_01_2019-files, _S_02_2020-files
Short Name: 01_LabTrials Title: Laboratory trials Description: Selection of targets and their validation in trials performed in the laboratories and greenhouse at NIB Phenodata: ./phenodata_20210113.txt pISA Investigation creation date: 2021-01-13 pISA Investigation creator: Marko Petek Principal investigator: Marko Petek License: CC BY 4.0 Sharing permission: Private Upload to FAIRDOMHub: Yes
Submitter: Marko Petek
Studies: Investigation files, _S_01_TargetSelect, _S_02_dsRNAorder, _S_03_dsRNAprod, _S_04_Stages, _S_05_jun2016, _S_06_oct2016, _S_07_dec2016, _S_08_jan2017, _S_09_jun2017, _S_10_apr2018, _S_11_may2018
Assays: _A_00_Ecoli-dry, _A_00_jun2017_dsRNA_stabil-wet, _A_01_AgroRNA-wet, _A_01_LitData-dry, _A_01_dec2016-phenotyping, _A_01_jan2017-phenotyping, _A_01_jun2016-phenotyping, _A_01_jun2017-phenotyping, _A_01_jun2017-phenotyping, _A_01_may2018-phenotyping, _A_01_oct2016-phenotyping, _A_01_pIsol-wet, _A_02_UlrichTop100-BLAST, _A_02_dec2016-RNAisol, _A_02_jun2016-RNAisol, _A_02_jun2017-RNAisol, _A_02_plasmid-SangerSeq, _A_02_qPCR_ampl_test-wet, _A_03_RNaseItreat-wet, _A_03_dec2016-qPCR, _A_03_jun2016-qPCR, _A_03_jun2017-qPCR, _A_03_patentDB-BLAST, _A_03_stages-RNAisol, _A_04_ortho-BLAST, _A_04_prod-qPCR, _A_04_stages-qPCR, _A_05_CPB_gene-annot, _A_06_splitter_BLAST-dry, _A_07_MergeEvi-dry, _A_08_SelTargetsA-dry, _I_01_LabTrials-files, _S_01_TargetSelect-files, _S_02_dsRNAorder-files, _S_03_dsRNAprod-files, _S_04_Stages-files, _S_05_jun2016-files, _S_06_oct2016-files, _S_07_dec2016-files, _S_08_jan2017-files, _S_09_jun2017-files, _S_10_apr2018-files, _S_11_may2018-files
Submitter: Dikshant Pradhan
Studies: CD8+ lymphocytes are critical for early control of tuberculosis in macaques, Fc-FcγR interactions shift alveolar macrophage metabolism to promote Myc..., Humoral correlates of protection against Mycobacterium tuberculosis foll..., Immune cells in bronchoalveolar lavage fluid of Ugandan adults who resis..., Multimodal profiling of lung granulomas in macaques reveals cellular cor..., Mycobacterium tuberculosis-specific antibodies detect progression to act..., Robust IgM responses following intravenous vaccination with Bacille Calm..., T cell signatures of bacterial control among M. tuberculosis 'resisters'
Assays: All Metadata, Anti-Microbial Assay – Metadata, Antibody-Dependent Cellular Phagocytosis - Data Linked, Antibody-Dependent Cellular Phagocytosis - Data Linked, Antibody-Dependent Cellular Phagocytosis Analysis - Data Linked, Antibody-Dependent NK Cell Activation - Data Linked, Antibody-Dependent NK Cell Activation Analysis - Data Linked, Antibody-Dependent Neutrophil Phagocytosis - Data Linked, Antibody-Dependent Neutrophil Phagocytosis - Data Linked, Antibody-Dependent Neutrophil Phagocytosis Analysis - Data Linked, Bacterial Extraction - Metadata, DNA Extraction - Metadata, Digitally Barcoded Mtb Matrix Analysis - Data Attached, FC Receptor Binding - Data Linked, FC Receptor Binding Analysis - Data Linked, FC Receptor Binding Assay - Data Linked, Flow Cytometry - Data Linked, Flow Cytometry - Data Linked, Flow Cytometry Analysis - Data Attached, Flow Cytometry Analysis - Data Linked, Flow Cytometry Processing – Data Attached, Flow Cytometry – Data Linked, Functional Assay – Metadata, Immunohistochemistry - Data Linked, Immunohistochemistry – Data Linked, Library Creation – Metadata, Linear Mixed Model - Data Linked, Luminex Assay – Metadata, Luminex Data Processing – Data Attached, NHP Necropsy – Metadata, NHP Tissue Collection – Metadata, PET-CT Scan Analysis – Data Linked, PET-CT Scan – Data Linked, PET/CT Scan - Data Linked, Patient Visit - Metadata, Patient Visit - Metadata, Patient Visit - Metadata, Patient Visit - Metadata, Patient Visit – Metadata, Patient Visit – Metadata, Short Read Sequencing - Data Linked, Single Cell Clustering Analysis – Data Linked, Single Cell Expression Analysis - Data Linked, Single Cell Expression Matrix Analysis – Data Linked, Single Cell Sequencing Analysis – Data Linked, Single Cell Sequencing – Data Linked, Single Cell Sequencing – Data Linked, Tissue Collection - Metadata, Tissue Collection - Metadata, Tissue Collection - Metadata, Tissue Collection - Metadata, Tissue Collection - Metadata, Tissue Extraction – Metadata, Titer Assay - Data Linked, Titer Assay - Data Linked, Titer Assay Analysis - Data Linked
Because enzyme activity depends very much on the reaction conditions, it is crucial to report all these metadata (see for example the STRENDA Guidelines:https://www.beilstein-strenda-db.org/strenda/public/guidelines.xhtml).
Another challenge in experiments to determine enzyme reaction parameters is the choice of suitable substrate concentrations to enable optimal kinetic fits and the informed choice of a kinetic model.
A Jupyter notebook is given to assist in the choice of substrate concentrations ...
Submitter: Gudrun Gygli
Studies: Analyse an Initial Rate Experiment, Design an Initial Rate Experiment, Progress Curve Analysis, Selwyn Test
Assays: Use a Jupyter Notebook to design an initital rate experiment, Use a Jupyter Notebook to model Michaelis-Menten Kinetics on experimenta..., Use a Jupyter Notebook to understand how a progress curve experiment can..., Use a Jupyter Notebook to understand how the Selwyn test works
The dataset presents mathematical models of the gene regulatory network of the circadian clock, in the plant Arabidopsis thaliana. The work is published in Urquiza-Garcia and Millar, Testing the inferred transcription rates of a dynamic, gene network model in absolute units, In Silico Plants, 2021.
Starting from the P2011 model, this project corrects theoretical issues (EC steady state binding assumption) to form an intermediate model (first version U2017.1; published as U2019.1) model, rescales ...
Multiscale and multicellular simulation of SARS-CoV-2 infection uncover points of intervention to evade apoptosis.
Summary:
Our framework enables the simulation of the dynamics of signaling pathways that include the relevant players in SARS-CoV-2 infection, at the level of the individual cell and of the cell population. These different players encompass the virus, epithelial and immune cells. The model focuses on apoptosis and suggests two knock out alterations that force apoptosis of the ...
Research in Systems Biology involves integrating data and knowledge about the dynamic processes in biological systems in order to understand and model them. By connecting fields such as genomics, proteomics, bioinformatics, mathematics, cell biology, genetics, mathematics, engineering and computer sciences, Systems Biology enables discovery of yet unknown principles underlying the functioning of living cells. At the same time, testable and predictive models of complex cellular pathways and ...
An experimental workflow to provide detailed information of the molecular mechanisms of enzymes is described. This workflow will help in the application of enzymes in technical processes by providing crucial parameters needed to plan, model and implement biocatalytic processes more efficiently. These parameters are homogeneity of the enzyme sample (HES), kinetic and thermodynamic parameters of enzyme kinetics and binding of reactants to enzymes. The techniques used to measure these properties are ...
Submitter: Gudrun Gygli
Studies: DLS measurements (homogeneity of an enzyme sample), ITC binding experiments, ITC kinetic experiments (enzyme activity), Spectrophotometric Activity Measurements
Assays: Analysis of data from ITC experiments (binding), Analysis of data from ITC experiments (kinetics), Binding of HK to Gre2p (ITC-BIND), Binding of NADP+ to Gre2p in HEPES Buffer (ITC-BIND), Binding of NADP+ to Gre2p in KPi Buffer (ITC-BIND), Binding of NADP+ to Gre2p in PBS Buffer (ITC-BIND), Binding of NADPH to Gre2p in HEPES Buffer (ITC-BIND), Binding of NADPH to Gre2p in KPi Buffer (ITC-BIND), Binding of NADPH to Gre2p in PBS Buffer (ITC-BIND), Binding of NADPH to Gre2p in Tween-KPi Buffer (ITC-BIND), Binding of NDK to Gre2p (ITC-BIND), DLS measurements in 2 buffers, DLS measurements in KPi Buffer and in KPi buffer with Tween added, DLS measurements in KPi buffer with BSA added, Kinetic parameters of Gre2p, Kinetics of the reaction of NDK and NADPH with Gre2p (ITC-MIM) in HEPES ..., Kinetics of the reaction of NDK and NADPH with Gre2p (ITC-MIM) in KPi bu..., Kinetics of the reaction of NDK and NADPH with Gre2p (ITC-MIM) in PBS bu..., Kinetics of the reaction of NDK and NADPH with Gre2p (ITC-MIM) in Tween-..., Kinetics of the reaction of NDK and NADPH with Gre2p (ITC-rSIM) in 3 buf..., Selwyn test of Gre2p, Specific activity of Gre2p
The COVIDminer text mining project (https://rupertoverall.net/covidminer/) reads the published literature concerning SARS-CoV-2 and COVID-19 to extract statements about (primarily molecular) interactions. Using the API associated with this project, putative interactors can be automatically retrieved for the existing COVID-19 Disease Maps. New interactions are prioritised based on their frequency in the literature and the topological importance of the interaction targets to provide a focussed set ...
We further used the transcriptome dataset from the GEO database with accession number GSE147507 (Blanco-Melo et al., 2020) to extract the series number 5 from the dataset, consisting of 2 conditions in triplicate, A549 cells treated with a mock and A549 infected with SARS-CoV-2, measured 24 hours after treatment. Phosphoproteomic data of mock-treated and SARS-CoV2 infected cells were extracted from (Stukalov et al., 2020). We then applied our pipeline described in M&M X. This work notably ...
Submitter: Aurélien Dugourd
Studies: Footprint based analysis and causal network contextualisation in SARS-Co...
Assays: No Assays
In this investigation, we aim to develop automatic workflows to pinpoint drug targets carrying genomic variants at high frequency in the population
Submitter: Janet Piñero
Studies: Pharmacogenomics of drugs targeting the COVID-19 disease map
Assays: No Assays
In this investigation we aim to develop automatic workflows to analyze COVID19 Omics data to understand and predict the molecular pathways depicting host-virus interaction.
Submitter: Dikshant Pradhan
Studies: Benthic fluxes of fluorescent dissolved organic material, salt and heat ..., CometChip Enables Parallel Analysis of Multiple DNA Repair Activities, Excision of mutagenic replication-blocking lesions suppresses cancer but..., Interaction of N-Nitroamines with Bincuelar Copper Complexs for Luminsec..., Molecular origins of mutational spectra produced by the environmental ca..., Novel In Vivo CometChip Reveals NDMA-Induced DNA Damage and Repair in Mu...
Assays: Absorption and Emission Spectroscopy - Data Linked, Absorption and Emission Spectroscopy Analysis - Data Linked, Chemical Challenge - Metadata, Chemical Synthesis - Metadata, Comet Chip - Data Linked, Comet Chip Analysis - Data Attached, Comet Chip Analysis - Data Attached, Crystallography - Data Linked, Electron Paramagnetic Resonance - Data Linked, Extraction and Library Creation - Metadata, Field Water Sensor Run, GPT Assay - Data Attached, GPT Assay – Data Attached, Genome Alignment - Data Linked, High Resolution Mass Spectra - Data Linked, High Resolution Mass Spectra Analysis - Data Linked, Illumina Sequencing - Data Linked, Mass Spectrometry Processing – Data Linked, Mass Spectrometry – Data Linked, Mouse Necropsy – Metadata, Mutational Spectral Analysis - Data Attached, Necropsy - Metadata, Nuclear Magnetic Resonance Spectroscopy - Data Linked, Nuclear Magnetic Resonance Spectroscopy Analysis - Data Linked, RaDR Image Machine Learning Analysis – Data Attached, Tissue Collection - Metadata, Tissue Imaging – Metadata, Tissue Lysis – Metadata, X-ray Photoelectron Spectroscopy - Data Linked
Submitter: Pasquale Linciano
Studies: Chemical characterization, and biological evaluation of the SECONDARY HITS, Ty-Box chemical characterization, properties and biological evaluation
Assays: Antimicobacterium, Antiparasitic and in vitro toxicity for Ty-Box library, Biological characterization for Secondary Hits, Molecular Formula STRING excel, MolecularFormula Strings Spreadsheet_Ty, Secondary Hits Characterization, Ty-Box library characterization
We develop macrophage logical models to represent the activation/polarization of this immune cell. Interactions are manually curated with available macrophage literature. The models are mainly built and analyzed in GINsim. But other resources are used to integrate specific pathways or small modules (CasQ software) and to analyze the logical models (CoLoMoTo Notebooks).
Submitter: Viviam Solangeli Bermúdez Paiva
Studies: C19DM - Macrophage logical model
Assays: No Assays
The hallmarks of cancer provide a highly cited and well-used conceptual framework for describing the processes involved in cancer cell development. However, methods for translating these high-level concepts into data-level associations between hallmarks and genes (for high throughput analysis), vary widely between studies. In this investigation we compare cancer hallmark mapping strategies from different studies, based on Gene Ontology and biological pathway annotation. By analysing the semantic ...
Submitter: Katy Wolstencroft
Studies: Comparing Cancer Hallmark Descriptions, Evolution of Gene Ontology Terms, Prognostic and Hallmark Gene Networks
Assays: Analysing Changes to GO Biological Process, Annotation Consensus and GO Consensus, Hub genes of modules and enriched GO terms, Jaccard Index Prognostic Hallmark Genes, WGCNA Prognostic Hallmark Genes
The aim of this investigation is to understand molecular mechanisms of PUFA biosynthesis and regulation in order to enable the sustainable use of vegetable oils in aquafeeds as current sources of fish oils are unable to meet increasing demands for omega-3 PUFAs. By generating gene knockouts, we would like to study the genes that are crucial for multi-tissue synthesis of PUFA synthesis in vivo.
Multidisciplinary development of selective anti-parasitic multi-target inhibitors of PTR1/DHFR based on a pteridine scaffold.
Submitter: Ina Poehner
Studies: Docking to PTR1 and DHFR targets and off-targets, In silico property and correlation analysis
Assays: Compound library preparation, Correlation analysis between PTR1 and DHFR activities and anti-parasitic..., Correlation analysis between predicted ADMET properties and anti-parasit..., Docking receptor preparation, In silico ADMET data prediction, Induced-fit docking studies, PAINS filtering, Rigid-body docking studies
Present in many industrial effluents and as intermediate of lignin degradation, phenol is a widespread pollutant causing serious environmental problems, due to its toxicity to animals and humans. Removal of phenol from the environment by bacteria has been studied extensively over the past decades, but only little is known about phenol biodegradation in hostile environments. We combined metabolomics and transcriptomics together with metabolic modelling to elucidate the organism’s response to growth ...
Consortium website: https://covidclinical.net/
Slack: https://c19i2b2.slack.com/ Owner: Nils Gehlenborg (nils@hms.harvard.edu)
i2b2 tranSMART Foundation Call to Action: https://transmartfoundation.org/covid-19-call-to-action/
Submitter: Harald Kusch
Studies: General Information, Phase 1, Phase 1.1, Phase 2
Assays: Chats, Instructions, Websites
Objectives: Empowering smooth implementation and fruitful completion of all WPs and tasks. Implementation of a data management plan for efficient dissemination under F.A.I.R. principles.
Description of Work: The PI of the project with the heads of the collaborating groups will closely monitor the progress of the technical and administrative tasks and it will implement actions to correct any deviation from the established work-plan. The whole group will meet regularly every six months or more ...
Objectives: Establishment of the chemoenzymatic process with the best GO-ATA hybrid catalysts. Highlighting of the potential of the process in semi-preparative scale.
Description of Work: The best hybrid catalysts identified in WP3 will be investigated in coupled one-pot reactions selected in WP1, in batch and continuous flow reactors. The productivity of the system will be optimized with response surface methodology (RSM), for parameters such as temperature, duration, substrate concentration ...
Objectives: Development of efficient ATA immobilization approach. Production of a hybrid catalyst of high catalytic efficiency.
Description of Work: Τhe ATAs selected in WP2 will be expressed, purified and covalently and/or non-covalently immobilized on the GO selected in WP1. The catalytic behavior (in terms of catalytic activity, stability and reusability) and the structural implications of the immobilization will be investigated. For comparison purposes, the non-optimized ATAs (prior to the ...
Objectives: Identification of amine transaminases (ATAs) able to catalyze efficiently the amination of a desired set of ketones and aldehydes (expected products of GO oxidation). Optimization of the most potent biocatalysts, in terms of catalytic efficiency, stability, availability of functional groups for covalent immobilization.
Description of Work: ATAs from our construct selection (>30 wild-type and variants of both (R)- and (S)-enantioselectivity) with different substrate selectivity will ...
Objectives: Protocol identification and establishment for the synthesis of high-performing catalytic GO in the desired oxidation reactions under mild conditions. Characterization of the most prominent materials synthesized and comparison to commercially available material.
Description of Work: Several established chemical methods will be used for the synthesis of GO. Each batch will be characterized, for instance for its C/O ratio, surface area and conductivity. The catalytic profile of the ...
Submitter: Matthias Löbe
Studies: Entwicklung eines Tests zum Nachweis der Immunantwort bei Covid-19 (CoV2...
Assays: No Assays
Die Charité – Universitätsmedizin Berlin betreibt gemeinsam mit dem Berlin Institute of Health Clinical Study Center (BIH-CSC) eine zentrale Registerstudie ("Pa-COVID-19") und Phänotypisierungs- plattform für alle an der Charité behandelten Patienten mit COVID-19. Pa-COVID-19 dient der harmonisierten und standardisierten klinischen und molekularen Phänotypisierung von COVID-19 Patienten. Übergeordnetes Ziel ist die schnelle und umfassende Charakterisierung von COVID-19 zur Identifikation von ...
Governments and policymakers take different measures vis-à-vis the COVID-19 crisis, ranging from advice to reduce social activities, to a complete lock down of society and economy. To support them with tools that enable them to fulfill their tasks we constructed a differential equation model for the COVID-19 epidemics using systems biology methodologies.
Collection of cross-links to other sites that gather COVID-19 information
Submitter: Harald Kusch
Studies: University Medical Center Göttingen, ZB MED – Informationszentrum Lebenswissenschaften
Assays: COVI-19 Übersicht
Submitter: Jurgen Haanstra
Studies: Inhibition with Sulfasalazine (SSZ), Measurements of metabolism of HepG2 cells at 0 mM, 6 mM or 22 mM externa..., protein per cell for HepG2 cells
Assays: Cell counts and BCA Protein, Cell counts and metabolite levels, Inhibition experiment for the effect of SSZ on HepG2 metabolism
The raw data generated in the scope of the SysMetEx project for RNAseq, proteomics, and imaging analysis. The data was generated on single and mixed species cultures of A. Caldus, L.ferriphilum, and/or S.thermosulfidooxidans. Raw RNA data is combined in an ENA umbrella study summarising all short read data generated in the project. Raw proteomics data is provided for distinct conditions at the pride repository. Imaging data is provided for distinct conditions at a zenodo repository.
Submitter: Malte Herold
Studies: Biofilms on chalcopyrite grains, Continuous cultures, Planktonic cells, Supplemental Files
Assays: Links to code repositories, Microscopy imaging, Proteomics rawdata, Proteomics rawdata, Proteomics rawdata, RNAseq rawdata, RNAseq rawdata, RNAseq rawdata, Supplemental Files
The oxidative Weimberg pathway for the five-step pentose degradation to α ketoglutarate from Caulobacter crescentus is a key route for sustainable bioconversion of lignocellulosic biomass to added-value products and biofuels. Here, we developed a novel iterative approach involving initial rate kinetics, progress curves, and enzyme cascades, with high resolution NMR analysis of intermediate dynamics, and multiple cycles of kinetic modelling analyses to construct and validate a quantitative model ...
Submitter: Jacky Snoep
Studies: Cell free extract, Initial rate kinetics, One pot cascade, Progress curves
Assays: Cell free extract, with Mn and NAD recycling, Cell free extract, with Mn, no NAD recycling, Cell free extract, without added Mn, with NAD recycling, KDXD, KGSADH, One pot cascade 10, One pot cascade 12, One pot cascade 13, One pot cascade 16, Progress curve KDXD, Progress curve KGSADH, Progress curve XAD, Progress curve XDH, Progress curve XLA, Progress curves combined, Steady state cell free extract, with Mn and NAD recycling, XAD, XDH, XLA
Collection of models submitted to PLaSMo by Uriel Urquiza Garcia and automatically transferred to FAIRDOM Hub.
Submitter: BioData SynthSys
Studies: F2014.1 - PLM_1030, PLM_67v3withTempPulse - PLM_81
Assays: F2014.1 - PLM_1030, version 1, PLM_67v3withTempPulse - PLM_81, version 1
Investigation: _I_STRT Short Name: STRT Title: Cultivar-specific transcriptome and pan-transcriptome reconstruction of tetraploid potato Description: Cultivar-specific transcriptome and pan-transcriptome reconstruction of tetraploid potato Phenodata: ./phenodata_20191022.txt pISA Investigation creation date: 2019-10-22 pISA Investigation creator: Maja Zagorscak, Ziva Ramsak, Marko Petek Principal investigator: Kristina Gruden License: MIT Sharing permission: Public Upload to FAIRDOMHub: Yes
RELATED ...
Submitter: Maja Zagorscak
Studies: SupplementaryInformation, _S_01_sequences, _S_02_denovo, _S_03_stCuSTr, _S_04_stPanTr
Assays: Supplementary Information, _A_01_GC_content-count, _A_01_evigene, _A_02.1_BUSCO, _A_02.2_assembly-contribution-count, _A_02.3_InterProScan, _A_02.4_STAR, _A_02.5_STARlong_matchAnnot, _A_02.6_TransRate, _A_02.7_VecScreen, _A_02.8_DIAMOND, _A_02_cdhit_3cvs-GFFmerged, _A_03.1_filtering, _A_03.2_components, _A_03_components_3cvs-GFFmerged, _A_04_BUSCO_3cvs-GFFmerged, _A_04_TransRate, _A_05_BUSCO, _A_05_MSA_3cvs-GFFmerged, _A_06_tr_rep-transrate, _A_07_Desiree-mapping, _A_08_centrifuge_3cvs-GFFmerged, _A_09_annotation-GFFmerged
- 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
Project to test effects of temperature cycles on expression of Arabidopsis florigen gene FT, and whether these are mediated by temperature-dependent leaf development or temperature-specific FT expression, or both. Re-used and extended Arabidopsis Framework Model v1 to address this question. Led by Hannah Kinmonth-Schultz in Kim and Imaizumi labs, collaborating with Millar lab.
Submitter: Andrew Millar
This is a collection of deep eutectic solvent (DES) experimental and simulation data that is stored in CML format and analysed using gradient boosting decision trees.
Collection of models submitted to PLaSMo by Yin Hoon and automatically transferred to FAIRDOM Hub.
Submitter: BioData SynthSys
Studies: Chew_et_al_2012_Photothermal_Model - PLM_73, Chew_et_al_2014_Framework_Model - PLM_76, Part_of_Christophe_et_al_2008_Functional_Structural_Plant_Model - PLM_75, Salazar Photoperiodism Model with T6P - PLM_82, Salazar_et_al_2009_Photoperiodism_Model - PLM_74
Assays: Chew_et_al_2012_Photothermal_Model - PLM_73, version 1, Chew_et_al_2014_Framework_Model - PLM_76, version 1, Part_of_Christophe_et_al_2008_Functional_Structural_Plant_Model - PLM_75..., Salazar Photoperiodism Model with T6P - PLM_82, version 1, Salazar_et_al_2009_Photoperiodism_Model - PLM_74, version 1
Collection of models submitted to PLaSMo by Andrew Millar and automatically transferred to FAIRDOM Hub.
Submitter: BioData SynthSys
Studies: Arabidopsis clock model P2011, graphical diagram - PLM_1045, Arabidopsis clock model P2011.3.1 - PLM_1041, Arabidopsis clock model P2011.4.1 - PLM_1042, Arabidopsis clock model P2011.5.1 - PLM_1043, Arabidopsis clock model P2011.6.1 - PLM_1044, Arabidopsis clock models P2011.1.2 and P2011.2.1 - PLM_71, Arabidopsis_clock_P2011 - PLM_64, Arabidopsis_clock_P2012 - PLM_70, At_Pokh2011_LD_degr_Op1Ap3.xml - PLM_67, At_Pokh2011v6_plasmo_ltdParams.xml - PLM_68, AuxSim - PLM_27, AuxSim full - PLM_30, DomijanTS_AtClock2011 - PLM_50, Locke2005_CircadianClock_tanh - PLM_8, Locke2006_CircadianClock_tanh - PLM_10, OK MEP pathway 2013 - PLM_72, P2012_AJMv2_NoABA - PLM_69, Salazar2009_FloweringPhotoperiod - PLM_9, Sorokina2011_Ostreo_starch - PLM_44, Wilczek photothermal Science - PLM_48
Assays: Arabidopsis clock model P2011, graphical diagram - PLM_1045, version 1, Arabidopsis clock model P2011.1.2 - PLM_71, version 1, Arabidopsis clock model P2011.2.1 - PLM_71, version 2, Arabidopsis clock model P2011.3.1 - PLM_1041, version 1, Arabidopsis clock model P2011.4.1 - PLM_1042, version 1, Arabidopsis clock model P2011.5.1 - PLM_1043, version 1, Arabidopsis clock model P2011.6.1 - PLM_1044, version 1, Arabidopsis_clock_P2011 - PLM_64, version 1, Arabidopsis_clock_P2011 - PLM_64, version 2, Arabidopsis_clock_P2011 - PLM_64, version 3, Arabidopsis_clock_P2011 - PLM_64, version 4, Arabidopsis_clock_P2012 - PLM_70, version 1, Arabidopsis_clock_P2012 - PLM_70, version 2, At_Pokh2011_LD_degr_Op1Ap3.xml - PLM_67, version 1, At_Pokh2011_LD_degr_Op1Ap3.xml - PLM_67, version 2, At_Pokh2011_LD_degr_Op1Ap3.xml - PLM_67, version 3, At_Pokh2011_LD_degr_Op1Ap3.xml - PLM_67, version 4, At_Pokh2011_LD_degr_Op1Ap3.xml - PLM_67, version 5, At_Pokh2011_LD_degr_Op1Ap3.xml - PLM_67, version 6, At_Pokh2011v6_plasmo_ltdParams.xml - PLM_68, version 1, AuxSim - PLM_27, version 1, AuxSim full - PLM_30, version 1, DomijanTS_AtClock2011 - PLM_50, version 1, DomijanTS_AtClock2011 - PLM_50, version 2, Locke2005_CircadianClock_tanh - PLM_8, version 1, Locke2006_CircadianClock_tanh - PLM_10, version 1, OK MEP pathway 2013 - PLM_72, version 1, P2012_AJMv2_NoABA - PLM_69, version 1, P2012_AJMv2_NoABA - PLM_69, version 2, Salazar2009_FloweringPhotoperiod - PLM_9, version 1, Salazar2009_FloweringPhotoperiod - PLM_9, version 2, Sorokina2011_Ostreo_starch - PLM_44, version 1, Wilczek photothermal Science - PLM_48, version 1, Wilczek photothermal Science - PLM_48, version 2
Project to test effects of natural compared to growth chamber 16:8 LD cycles, on expression of Arabidopsis flowering-time genes, and to define the genetic mechanisms and environmental triggers involved. Led by Young-Hun Song and Akane Kubota in the Imaizumi lab, with collaborators testing plants in parallel in Zurich and Edinburgh.
Supplementary files for the submission: Reverse Engineering Directed Gene Regulatory Networks from Transcriptomics and Proteomics Data of Biomining Bacterial Communities with Approximate Bayesian Computation and Steady-State Signalling Simulations
Submitter: Malte Herold
Studies: Supplementary files
Assays: Proteome data, RNA data, Simulations for network engineering
Supplementary files for the publication: Deep Neural Networks Outperform Human Expert’s Capacity in Characterizing Bioleaching Bacterial Biofilm Composition
Time series response of potato cv. Désirée, which is tolerant to PVY infection, was analysed in both inoculated as well as upper non-inoculated leaves. Additionally, transgenic plants deficient in accumulation of salicylic acid (NahG- Désirée) were studied in the same setting.
All the files available are published under the CC BY 4.0 license.
Publication data made available for Biotechnology Reports, supplementary data
Submitter: Antoine Buetti-Dinh
Studies: Deep Neural Networks Outperform Human Expert’s Capacity in Characterizin...
Assays: No Assays
Collection of models submitted to PLaSMo by Tomasz Zielinski and automatically transferred to FAIRDOM Hub.
Submitter: BioData SynthSys
Studies: Checking upload for andrew - PLM_1040, Plasmo test model1 - PLM_80
Assays: CHecking if all works - PLM_1000, version 111, Checking upload for andrew - PLM_1040, version 1, Plasmo test model1 - PLM_80, version 1, Test created 1552502361596, Test created 1552502791700, Test created 1552503965203, Test created 1552503978484, Test created 1552504117107, Test created 1552504664537, Test created 1552504857803, Test created 1552505193451
Collection of models submitted to PLaSMo by Alexandra Graf and automatically transferred to FAIRDOM Hub.
Submitter: BioData SynthSys
Studies: TiMet 2011 PP interaction network - PLM_56, TiMet 2011 Pollen network - PLM_54, TiMet 2011 Root network - PLM_55, TiMet 2011 flower specific protein detection network - PLM_57, TiMet 2011 seed network - PLM_53, TiMet 2011 shoot specific diurnal transcript oscillation network - PLM_58, TiMet 2011 silqueue specific protein detection network - PLM_59
Assays: TiMet 2011 PP interaction network - PLM_56, version 1, TiMet 2011 Pollen network - PLM_54, version 1, TiMet 2011 Pollen network - PLM_54, version 2, TiMet 2011 Root network - PLM_55, version 1, TiMet 2011 flower specific protein detection network - PLM_57, version 1, TiMet 2011 seed network - PLM_53, version 1, TiMet 2011 seed network - PLM_53, version 2, TiMet 2011 shoot specific diurnal transcript oscillation network - PLM_5..., TiMet 2011 silqueue specific protein detection network - PLM_59, version 1
Collection of models submitted to PLaSMo by Carl Troein and automatically transferred to FAIRDOM Hub.
Submitter: BioData SynthSys
Studies: T2011 Ostreococcus clock, CCA1 degr D - PLM_86, T2011 Ostreococcus clock, CCA1 degr L - PLM_85, T2011 Ostreococcus clock, CCA1 prod D - PLM_88, T2011 Ostreococcus clock, CCA1 prod L - PLM_87, T2011 Ostreococcus clock, TOC1 act D - PLM_92, T2011 Ostreococcus clock, TOC1 act L - PLM_91, T2011 Ostreococcus clock, TOC1 degr D - PLM_90, T2011 Ostreococcus clock, TOC1 degr L - PLM_89, T2011 Ostreococcus clock, acc immediate - PLM_83, T2011 Ostreococcus clock, acc on - PLM_84, Troein Ostreococcus clock 1-loop - PLM_7
Assays: T2011 Ostreococcus clock, CCA1 degr D - PLM_86, version 1, T2011 Ostreococcus clock, CCA1 degr L - PLM_85, version 1, T2011 Ostreococcus clock, CCA1 prod D - PLM_88, version 1, T2011 Ostreococcus clock, CCA1 prod L - PLM_87, version 1, T2011 Ostreococcus clock, TOC1 act D - PLM_92, version 1, T2011 Ostreococcus clock, TOC1 act L - PLM_91, version 1, T2011 Ostreococcus clock, TOC1 degr D - PLM_90, version 1, T2011 Ostreococcus clock, TOC1 degr L - PLM_89, version 1, T2011 Ostreococcus clock, TOC1 degr L - PLM_89, version 2, T2011 Ostreococcus clock, acc immediate - PLM_83, version 1, T2011 Ostreococcus clock, acc on - PLM_84, version 1, Troein Ostreococcus clock 1-loop - PLM_7, version 1, Troein Ostreococcus clock 1-loop - PLM_7, version 2
Collection of models submitted to PLaSMo by Richard Adams and automatically transferred to FAIRDOM Hub.
Submitter: BioData SynthSys
Studies: Modified Locke Arabadopsis 3 loop Circadian Clock - PLM_66, Neurospora Circadian Clock 3-variable model - PLM_51, Neurospora Circadian Clock 3-variable model - sinusoidal light oscillati...
Assays: Modified Locke Arabadopsis 3 loop Circadian Clock - PLM_66, version 1, Neurospora Circadian Clock 3-variable model - PLM_51, version 1, Neurospora Circadian Clock 3-variable model - sinusoidal light oscillati...
Collection of models submitted to PLaSMo by Jonathan Massheder and automatically transferred to FAIRDOM Hub.
Submitter: BioData SynthSys
Studies: LINTUL_V2 - PLM_42, SUCROS1 - PLM_24
Assays: LINTUL_V2 - PLM_42, version 1, SUCROS1 - PLM_24, version 1
Collection of models submitted to PLaSMo by Rob Smith and automatically transferred to FAIRDOM Hub.
Collection of models submitted to PLaSMo by Martin Beaton and automatically transferred to FAIRDOM Hub.
Submitter: BioData SynthSys
Studies: Central plant metabolism - PLM_61, Glycolysis SBGN - PLM_60, Insulin-like growth factor signaling - PLM_62, Martin test - PLM_65, Neuronal muscle signalling - PLM_63
Assays: Central plant metabolism - PLM_61, version 1, Glycolysis SBGN - PLM_60, version 1, Insulin-like growth factor signaling - PLM_62, version 1, Martin test - PLM_65, version 1, Martin test - PLM_65, version 2, Neuronal muscle signalling - PLM_63, version 1
Collection of models submitted to PLaSMo by Maria-Luisa Guerriero and automatically transferred to FAIRDOM Hub.
Submitter: BioData SynthSys
Studies: arabidopsis_clock_biopepa - PLM_47
Collection of models submitted to PLaSMo by Alexandra Pokhilko and automatically transferred to FAIRDOM Hub.
Submitter: BioData SynthSys
Studies: Arabidopsis_clock_2011 - PLM_43, Arabidopsis_clock_2012_TOC1_repressor - PLM_49, Arabidopsis_clock_extend - PLM_6
Assays: Arabidopsis_clock_2011 - PLM_43, version 1, Arabidopsis_clock_2011 - PLM_43, version 2, Arabidopsis_clock_2011 - PLM_43, version 3, Arabidopsis_clock_2011 - PLM_43, version 4, Arabidopsis_clock_2011 - PLM_43, version 5, Arabidopsis_clock_2011 - PLM_43, version 6, Arabidopsis_clock_2011 - PLM_43, version 7, Arabidopsis_clock_2011 - PLM_43, version 8, Arabidopsis_clock_2011 - PLM_43, version 9, Arabidopsis_clock_2012_TOC1_repressor - PLM_49, version 1, Arabidopsis_clock_2012_TOC1_repressor - PLM_49, version 2, Arabidopsis_clock_extend - PLM_6, version 1, Arabidopsis_clock_extend - PLM_6, version 2, Arabidopsis_clock_extend - PLM_6, version 3
Collection of models submitted to PLaSMo by Daniel Seaton and automatically transferred to FAIRDOM Hub.
Submitter: BioData SynthSys
Studies: Arabidopsis - starch and the circadian clock, Model 1 (Seaton et al., 20..., Arabidopsis - starch and the circadian clock, Model 2 (Seaton et al., 20..., Arabidopsis - starch and the circadian clock, Model 3 (Seaton et al., 20..., Modelling circadian regulation of flowering time and hypocotyl elongatio...
Assays: Arabidopsis - starch and the circadian clock, Model 1 (Seaton et al., 20..., Arabidopsis - starch and the circadian clock, Model 2 (Seaton et al., 20..., Arabidopsis - starch and the circadian clock, Model 3 (Seaton et al., 20..., Modelling circadian regulation of flowering time and hypocotyl elongatio...
Collection of models submitted to PLaSMo by Chris Davey and automatically transferred to FAIRDOM Hub.
Submitter: BioData SynthSys
Studies: AFRC Wheat 2 evapw submodel - PLM_33, AFRC Wheat 2 jdaydif submodel - PLM_34, AFRC Wheat 2 julday submodel - PLM_35, AFRC Wheat 2 ldim submodel - PLM_36, AFRC Wheat 2 photpd submodel - PLM_37, AFRC Wheat 2 tdays submodel - PLM_38, AFRC Wheat 2 vappres submodel - PLM_39, AFRC Wheat 2 vernal submodel - PLM_40, AFRC Wheat 2 weathr submodel - PLM_41, AFRC Wheat2 dev submodel - PLM_32, AFRCtest2 - PLM_25, Arabidopsis leaf carbohydrate model (Rasse and Tocquin) - PLM_2, C3 photosynthesis (Farquhar, von Caemmerer, Berry) model - PLM_1, Miscanmod - PLM_3
Assays: AFRC Wheat 2 evapw submodel - PLM_33, version 1, AFRC Wheat 2 jdaydif submodel - PLM_34, version 1, AFRC Wheat 2 julday submodel - PLM_35, version 1, AFRC Wheat 2 ldim submodel - PLM_36, version 1, AFRC Wheat 2 photpd submodel - PLM_37, version 1, AFRC Wheat 2 tdays submodel - PLM_38, version 1, AFRC Wheat 2 vappres submodel - PLM_39, version 1, AFRC Wheat 2 vernal submodel - PLM_40, version 1, AFRC Wheat 2 weathr submodel - PLM_41, version 1, AFRC Wheat2 dev submodel - PLM_32, version 1, AFRCtest2 - PLM_25, version 1, Arabidopsis leaf carbohydrate model (Rasse and Tocquin) - PLM_2, version 1, C3 photosynthesis (Farquhar, von Caemmerer, Berry) model - PLM_1, version 1, Miscanmod - PLM_3, version 1
Collection of models submitted to PLaSMo by Robert Muetzelfeldt and automatically transferred to FAIRDOM Hub.
Submitter: BioData SynthSys
Studies: 3PG - PLM_12, CENTURY_Rowe_daily - PLM_22, DALEC - PLM_23, LINTUL - PLM_4, McMurtrie vegetation model - PLM_11, TRIFFID - PLM_5
Assays: 3PG - PLM_12, version 1, CENTURY_Rowe_daily - PLM_22, version 1, DALEC - PLM_23, version 1, LINTUL - PLM_4, version 1, McMurtrie vegetation model - PLM_11, version 1, McMurtrie vegetation model - PLM_11, version 2, TRIFFID - PLM_5, version 1
Integrated systems biology approach including transcriptome, metabolome, proteome analyses and modelling to elucidate amino acid degradation in S. solfataricus P2.
Submitter: Jacqueline Wolf
Studies: Comparison of Sulfolobus solfataricus P2 grown on caseinhydrolysate and ...
Assays: Metabolic modelling of S. solfataricus during growth on casaminoacids, Metabolome analysis: Casaminoacids versus D-Glc, Proteome analysis: Casaminoacids versus D-Glc, RNA sequencing: Casaminoacids vs D-glc
Click on Snapshot 2 to download data, models and analysis for Daniel Seaton et al. biorXiv 2017 https://doi.org/10.1101/182071 and Molecular Systems Biology, accepted Jan 2018, https://doi.org/10.15252/msb.20177962. Note that the published paper cannot be fully linked into this record as the DOI above was not live when we made the Research Object from this Investigation on FAIRDOMHub.
Submitter: Andrew Millar
Studies: Modelling and analysis of translational coincidence, Photoperiod-specific proteome data for Arabidopsis, Proteome and translation rate data for the Ostreococcus alga and for cya..., Rhythmic and photoperiod-specific transcriptome datasets for Arabidopsis
Assays: Aryal et al, 2011, metabolic labelling of Cyanothece protein synthesis, Blasing et al, 2005, diurnal microarray in 12L:12D, Estimation of rates of translation and turnover from proteomics datasets, Martin et al, 2012, Ostreococcus N15 labelling proteomics data, Photoperiod proteomics, Stitt lab, TiMet photoperiod microarrays, Translational coincidence model
Data, models and simulations for the Chew et al. 2014 paper (PNAS, https://doi.org/10.1073/pnas.1410238111), using wild-type Arabidopsis ecotype Col-0 in standard 12hL:12hD growth conditions, compared to La(er) or Fei-0 accessions, or to plants overexpressing a micro RNA (miR156).
Submitter: Andrew Millar
Studies: Construction of Framework Model v1, Test of FMv1, growth study of Col-0 accession in 12L:12D, Test of FMv1, growth study of Col-0 accession in 5 photoperiods, Test of FMv1, growth study of other accessions and transgenic line in 12...
Assays: Arabidopsis Framework Model v1, Matlab and Simile version, Gas exchange of Fei-0 and Ler plants in 12hL:12hD, Growth of Col-0 and 35S:miR156 plants in 12hL:12hD, Growth of Col-0 in 12hL:12hD, Growth of Col-0 plants in 5 photoperiods, Growth of Fei-0 and Ler plants in 12hL:12hD
Biphasic response as a mechanism against mutant takeover in tissue homeostasis circuits
Submitter: Jacky Snoep
Studies: Figure 1C: Biphasic control can resist mutant invasion of feedback circu..., Figure 1D: Biphasic control can resist mutant invasion of feedback circu..., Figure 1G: Biphasic control can resist mutant invasion of feedback circu..., Figure 1H: Biphasic control can resist mutant invasion of feedback circu..., Figure 2: Frequency-dependent selection of mutant pancreatic beta cells., Figure 4C: Biphasic control can provide mutant resistance to stem-cell h..., Figure 4D: Biphasic control can provide mutant resistance to stem-cell h...
Assays: Biphasic control can provide mutant resistance to stem-cell homeostatic ..., Biphasic control can provide mutant resistance to stem-cell homeostatic ..., Biphasic control can resist mutant invasion of feedback circuits., Biphasic control can resist mutant invasion of feedback circuits., Biphasic control can resist mutant invasion of feedback circuits., Biphasic control can resist mutant invasion of feedback circuits., Frequency-dependent selection of mutant pancreatic beta cells.
Frequency doubling in the cyanobacterial circadian clock
Submitter: Jacky Snoep
Studies: Figure 4B: A minimal mathematical model, containing an incoherent feedfo..., Figure 6C and D: The clock-sigC circuit represents a general mechanism t...
Assays: Frequency doubling in the cyanobacterial circadian clock, Frequency doubling in the cyanobacterial circadian clock
Submitter: Dawie van Niekerk
Studies: Allosteric regulation of phosphofructokinase controls the emergence of g..., Heterogeneity of glycolytic oscillatory behaviour in individual yeast cells, Sustained glycolytic oscillations in individual isolated yeast cells
Assays: gustavsson1-4 models, gustavsson5 model
Submitter: Jacky Snoep
Studies: Entrainment of heterogeneous glycolytic oscillations in single cells
Assays: No Assays
Submitter: Jacky Snoep
Studies: Substrate preferences for AKR1C3, and implications of varying AKR1C3:17B...
Assays: No Assays
The objectives of WP1 within the colosys project are:
- Produce resources of data and information that will be used for the identification of CC driver genes (WP2) and for the construction and configuration of computational models of cancer-related biological processes (WP2 and WP3)
- Integrate information from public patient data and cancer cell line data repositories with information from project specific clinical and model data
- Convert information from public cellular signalling databases ...
Experimental data and all related material for the publication "Multi -omics reveal lifestyle of acidophile, mineral-oxidizing model species Leptospirillum ferriphilumT". changed ID
Experimental data and all related material for the publication "Multi -omics reveal lifestyle of acidophile, mineral-oxidizing model species Leptospirillum ferriphilumT".
Submitter: Malte Herold
Studies: Omics_data_analysis
Assays: Experimental methods, Genomics, Proteomics, RNAseq
Gene co-epxression network analyses are common in the study of large scale biological data sets. In this study, we have developed a methodology for the comparison of pairs of co-expression networks using the s-core network peeling approach. We apply the methodology to gene-expression data for human and mouse.
The gluconeogenic conversion of 3-phosphoglycerate via 1,3-bisphosphoglycerate to glyceraldehyde-3-phosphate was compared at 30 C and at 70 C. At 30 C it was possible to produce 1,3-bisphosphoglycerate from 3-phosphoglycerate with phosphoglycerate kinase, but at 70 C, 1,3- bisphosphoglycerate was dephosphorylated rapidly to 3-phosphoglycerate, effectively turning the phosphoglycerate kinase into a futile cycle. At both temperatures it was possible to convert 3-phosphoglycerate to glyceraldehyde ...
Submitter: Jacky Snoep
Studies: BPG stability, PGK-30C, PGK-70C, PGK-GAPDH 30C & 70C
Assays: BPG degradation, BPG stability analysis, PGK - GAPDH models, PGK 30C data, PGK 30C model, PGK 70 data, PGK 70C model, PGK-GAPDH 30, PGK-GAPDH 70
Drug detoxification dynamics explain the postantibiotic effect
Understanding how liver function arises from the complex interaction of morphology, perfusion, and metabolism from single cells up to the entire organ requires systems-levels computational approaches.
Submitter: Matthias König
Studies: A Multiscale Computational Model of Human Galactose Metabolism, PKDB Caffeine Study
Assays: Digitized pharmacokinetics data (Akinyinka2000), Digitized pharmacokinetics data (Amchin1999), Digitized pharmacokinetics data (Blanchard1983a), Digitized pharmacokinetics data (Haller2002), Digitized pharmacokinetics data (Healy1991), Digitized pharmacokinetics data (Hetzler1990), Digitized pharmacokinetics data (Jeppesen1996), Digitized pharmacokinetics data (Kakuda2014), Digitized pharmacokinetics data (Kaplan1997), Digitized pharmacokinetics data (Magnusson2008), Digitized pharmacokinetics data (Oh2012), Digitized pharmacokinetics data (Perera2011), Digitized pharmacokinetics data (Spigset1999a), Digitized pharmacokinetics data (Tanaka2014), Galactose Modelling
Protein abundance of AKT and ERK pathway components governs cell-type- specific regulation of proliferation
Antibiotics are made during the second phase of growth when there is a transition in metabolism from primary to secondary metabolism. Primary metabolism is growth related and involves all the normal cellular activities associated with cell growth and division. Whereas secondary metabolism is non-growth linked and is non-essential but many important activities occur during this phase which help the bacterium survive.
One of these activities is antibiotic production and is widespread in streptomycetes ...
Submitter: Jay Moore
Studies: ScoCyc metabolic pathway curation, Timeseries 1
Assays: Metabolic pathway curation, Online/offline measurements, metabolomics, proteomics, transcriptomics
Integrated systems biology approach including transcriptome, metabolome, biochemistry, proteome analyses and modelling to elucidate the catabolic pathway for L-fucose in S. solfataricus P2.
Submitter: Theresa Kouril
Studies: Comparison of S. solfataricus grown on l-fucose and d-glucose
Assays: Cell free extract activity measurements: L-fuc/d-glc, Metabolic model of Sulfolobus solfataricus, Proteome analysis: d-fuc / l-glu, RNA sequencing:l-fuc/d-glu, intracellular metabolome analysis: l-fucose vs d-glucose
Research in Systems Biology involves integrating data and knowledge about the dynamic processes in biological systems in order to understand and model them. By connecting fields such as genomics, proteomics, bioinformatics, mathematics, cell biology, genetics, mathematics, engineering and computer sciences, Systems Biology enables discovery of yet unknown principles underlying the functioning of living cells. At the same time, testable and predictive models of complex cellular pathways and ...
The investigation entails the construction and validation of a detailed mathematical model for glycolysis of the malaria parasite Plasmodium falciparum in the blood stage trophozoite form.
Submitter: Dawie van Niekerk
Studies: Model analysis, Model construction, Model validation
Assays: ALD, ATPASE, Culturing and synchronisation of P. falciparum, ENO, G3PDH, GAPDH, GLC incubation, GLCtr, GLYtr, HK, Inhibition of glucose transport, Inhibition of lactate flux, LACtr, LDH, PFK, PGI, PGK, PGM, PK, PYRtr, Steady state, Supply-demand analysis, TPI, Trophozoite Isolation and Lysate Preparation
Submitter: Ron Henkel
Tool and work flow development for computational biology.
Design principles of nuclear receptor signaling: how complex networking improves signal transduction
Basically extending SYSMO-LAB 1st phase into second with addition of fourth species, Lb. plantarum. The main focus is amino acid metabolism. primary metabolisms, like glycolysis is also interest.
Submitter: Araz Zeyniyev
Studies: Arginine and Glutamine metabolism in S. pyogenes, Determination of essential amino acids for Streptococcus pyogenes
Assays: Characterization of flux distribution of S. pyogenes M9 wild type and th..., Construction of in vivo-like buffer for S. pyogenes, Determination of essential amino acids for Streptococcus pyogenes
Here SYSMO-LAB put all there pre-liminary data files or models ordered per person and project
Submitter: Martijn Bekker
Studies: Pre-liminary data from Martijn Bekker, Pyruvate formate-lyase (PFL), allosteric regulation of pyruvate kinase
Assays: Characterization of enzymes involved in butanediol formation, Kinetic behavior of intracellular metabolites of E. faecalis upon a gluc..., Kinetic behavior of intracellular metabolites of L. lactis upon a glucos..., Pyruvate formate-lyase (PFL): literature review, structure analysis and ..., literature values for allosteric regulation of pyruvate kinase
Sucrose translocation between plant tissues is crucial for growth, development and reproduction of plants. Systemic analysis of this metabolic process and underlying regulatory processes can help to achieve better understanding of carbon distribution within the plant and the formation of phenotypic traits. Sucrose translocation from ‘source’ tissues (e.g. mesophyll) to ‘sink’ tissues (e.g. root) is tightly bound to the proton gradient across the membranes. The plant sucrose transporters are grouped ...
Division of labor by dual feedback regulators controls JAK2/STAT5 signaling over broad ligand range
Atlantic salmon is a main source of essential ω-3 long-chain polyunsaturated fatty acids (LC-PUFA) in many Western diets, especially eicosapentaenoic acid (20:5n-3, EPA) and docosahexaenoic acid (22:6n-3, DHA). However, farmed salmon meat now contains less healthy ω-3 fatty acids (FA) than before, due to the shift from marine to vegetable lipid feed sources. An important future aquaculture challenge is therefore to maintain a healthy and high EPA/DHA content when farmed salmon is fed a vegetable ...
Submitter: Jon Olav Vik
Studies: GSF1: Salmon feed-switch experiment vegetable and fish oil 2015-2016
Assays: Fatty acid contents in feed using Gas chromatography/FAME analysis, Fatty acid contents in tissues using Gas chromatography/FAME analysis, Feed switch 2015-09 Solbergstranda, pilot proteomics, Feed switch 2015-09, 2016-01 Solbergstranda, gross phenotypes, Feed switch 2015-09, 2016-01 Solbergstranda, gut microbiota composition,..., Lipidomics, Metabolomics, Overview of RNAseq datasets in GenoSysFat, RNA sequencing Feed switch- Liver and Gut
Aim: To provide quantitative data that will allow modeling of gene expression for all enzymes of redox metabolism and the pentose phosphate pathway. Modeling will be used to predict enzyme levels based on the integration of an RNA degradation model with translation and protein degradation rates.
Plan: The amounts of a protein in a cell can be determined by the rates of transcription, mRNA processing, translation, mRNA turnover and protein degradation. In trypanosomes analysis is simpler because ...
Aim. To provide critical quantitative parameter information and to model redox balance by determining the cellular concentration of all enzymes involved in the trypanothione-dependent hydroperoxide detoxification system of trypanosomes and by performing the kinetic characterization of the involved enzymes under pseudo-physiological conditions.
Submitter: Alejandro Leroux
Studies: Determination of the redox state and the total concentration of the tryp..., Kinetic characterization of trypanothione-dependent enzymes, Kinetic modelling of Trypanothione Synthetase to elucidate the enzyme me...
Assays: Creating kinetic model of Trypanothione Synthetase, Trypanothione synthetase ATP consumption steady state data, Trypanothione synthetase Gsp and T(SH)2 production measured by HPLC
Cultures grown under standard SUMO conditions were analyzed with respect to heterogeneity in gene expression. To this end GFP reporter strains were constructed and GFP expression at single cell level was monitored by flow cytometry.
The electron transport chain of E. coli is branched. Different NAD Dehydrogenases and terminal oxidases are known to be expressed at different oxygen availabilities. By deleting multiple genes mutant strains were constructed that posses a linear electron transport chain. These mutants were investigated in continous bioreactor experiments with limiting glucose and varying oxygen supply.
Submitter: Katja Bettenbrock
Studies: Analysis of Escherichia coli strains with linear respiratory chain
Assays: Determination of by-product formation and glucose uptake of mutants with..., Deternination of ArcA phosphroylation level in mutants with linear ETC a..., Gene expression analysis of mutants with linear electron transport chain...
An investigation in the central carbon metabolism of S. solfataricus with a focus on the unique temperature adaptations and regulation; using a combined modelling and experimental approach.
Submitter: Jacky Snoep
Studies: Carbon Loss at High Temperature, Model Gluconeogenesis
Assays: Experimental Validation Gluconeogenesis in S. solfataricus, FBPAase, FBPAase Modelling, GAPDH, GAPDH Modelling, Model Validation Gluconeogenesis in S. solfataricus, Modelling Metabolite Degradation at High Temperature, PGK, PGK Modelling, Reconstituted Gluconeogenesis System, TPI, TPI Modelling, Temperature Degradation of Gluconeogenic Intermediates
Investigating oscillations at the level of yeast populations and individual cells
Submitter: Katy Wolstencroft
Studies: Detailed kinetics of yeast glycolytic oscillation, Sustained glycolytic oscillations in individual isolated yeast cells
Assays: Detailed kinetic model of yeast glycolytic oscillation, Metabolite concentrations in yeast glycolytic oscillations, Modelling sustained glycolytic oscillations in individual isolated yeast...
A further investigation of the variation of FNR number in E.coli Cyo/Cyd mutants is carrying out at different oxygen supply levels. The agent-based FNR and ArcBA model is going to be used for this prediction. The number of Cyo or Cyd and other unrelated agents would be set as ‘0’ at the initial XML file with which the model starts. According to the restrictions of supercomputer ‘Iceberg’ (serviced provided by the University of Sheffield), certain parameters, such as memory per node, would be ...
In Escherichia coli several systems are known to transport glucose into the cytoplasm. A series of mutant strains were constructed, which lack one or more of these uptake systems. These were analyzed in aerobic and anaerobic batch cultures, as well as glucose limited continuous cultivations.
Submitter: Sonja Steinsiek
Studies: Characterization of mutant strains with defects in sugar transport systems
Assays: Aerobic and anaerobic characterization of MG1655 and mutant strains with..., Aerobic and anaerobic characterization of MG1655 and mutant strains with..., Characterization of MG1655 and mutant strains under conditions of glucos..., TFinfer2
Transcriptional and physiological responses of anaerobic steady state cultures to pulses of electron acceptors, specifically nitrate, trimethylamine-N-oxide (TMAO)
The aim of the study is to assess the global function of RNase Y in RNA processing and degradation in Bacillus subtilis. To this end we constructed a strain allowing controlled depletion of RNase Y and used microarrays to analyze the transcriptome in response to the expression level of RNase Y.
The aims of this investigation is to quantify metabolites associated with pathways involved in stress responses for parameterising models of oxidative stress metabolism; the measurement of metabolic fluxes of metabolites of interest with intracellular concentrations
Submitter: Dong-Hyun Kim
Studies: Metabolic flux measurement, Targeted metabolite analysis, Untargeted metabolite analysis
Assays: Generation of uniformly 13C-labelled E. coli extract, Intracellular metabolite concentrations in T. brucei exposed to oxidativ..., Intracellular metabolite concentrations in T. brucei under pH stress, LC-MS based absolute quantification of extracellular metabolites, LC-MS based absolute quantification of intracellular metabolites, Metabolite profiling on T. brucei exposed to oxidative stress
Automated model building using Taverna workflows from KEGG-Database
Multiply perturbations of trypanosome redox metabolism, closing the feedback loop between experimentation and in silioc modelling, allowing model refinement or, where there are unexpected outcomes, re-evaluation. Providing a dynamic picture of cell physiology by examining programmed metabolic changes during the developmental life-cycle of these parasites as they adapt to very different external milieus, including distinct levels of oxidative stress and unique adaptations of their redox balance ...
methods developed during COSMIC
Despite a long history in using C. acetobutylicum, little is known about the regulation of the metabolic shift, the characteristics of key-regulatory elements as well as bottlenecks of the metabolism. Goal of the collaborative project ´COSMIC-2` (Clostridium acetobutylicum Systems Microbiology 2; part of ‘SysMO’) is to increase the knowledge of this clostridial metabolism and its regulatory patterns. The focus will be on the key regulatory and metabolic events that occur during the shift from the ...
Submitter: John Raedts
Studies: Developement metabolomics protocol
A key insight, emerging from discussions and data between the projects PIs, was the importance of switching rates in bistable systems. While the existence of multiple steady states in bistable systems can be described by universal models (that do not differ between different systems), switching rates from one stable state to another depend on the molecular details of the system under consideration.
Aim. Constructing a predictive, dynamic model of the redox metabolism of trypanosomes. Aided by this model we will quantify the impact of gene-expression and metabolic regulation on redox metabolism. The model will be constructed in an iterative cycle of experimentation – modelling – analysis – experimentation, such that it can be extended and refined based on new experimental insights.
Submitter: Jurgen Haanstra
Studies: Iterative cycles of model improvement and extension., Modelling of gene expression and Regulation Analysis., Modelling of redox metabolism.
Assays: No Assays
The objective of this project is an integrated understanding the metabolic, proteomic and genetic network that controls the transition from growth to glucose starvation. This transition is a fundamental ecophysiological response that serves as a scientific model for environmental signal integration and is pivotal for industrial fermentations of Bacillus that occur predominantly under nutrient starvation.
Keywords: Glucose starvation, Transcriptomics, Proteomics, Metabolomics,Bacillus subtilis,
Submitter: Praveen kumar Sappa
Studies: B. subtilis Transcription Factor Competition, Batchfermentation exp-starv01_090204, Biphase Batch Fermentation(2009/02/04), Controlled sigmaB induction in shake flask, Transition to starvation in shake flask
Assays: 2D-gelbased analysis of intracellular proteins, Absolute quantification of proteins by the AQUA-technology, B. subtilis Transcription Factor Competition - theoretical interpretation, B. subtilis Transcription Factor Competition - theoretical interpretation, Fermentation-BM5_SysMo, Gene expression(Transcriptome), IPTG induction of sigmaB in BSA115, IPTG induction of sigmaB in BSA115, Relative quantification of proteins by metabolic labeling, Stressosome activation dynamics, metabolome-LCMS
Clostridia are very ancient bacteria which evolved before the earth had an oxygen atmosphere. To them the air we breathe is a poison. To survive they produce a spore resting stage, resistant to physical and chemical agents.
Some species cause devastating diseases, such as the superbug Clostridium difficile. On the other hand, most are totally harmless, and make a wide range of chemicals useful to man. The best example is Clostridium acetobutylicum which makes butanol. Butanol is an alcohol, which ...
Submitter: Holger Janssen
Studies: Investigation of different pH values for metabolic shift
Assays: test
Investigation of how the ENA1 gene is transcriptionally regulated.
Changing the oxygen availability leads to an adaptation of Escherichia coli at different biological levels. After pertubation of oxygen in chemostat experiments the microorganism(s) will come back to another steady state. This investigation deals with these stationary responses of Escherichia coli within the aerobiosis scale. The change for different biological variables, in different areas of the organism like the electron transport chain, the TCA cycle or globally is investigated by wildtype ...
Submitter: Michael Ederer
Studies: Basic regulatory principles of Escherichia coli’s electron transport cha..., Determination of the impact of specific enzyme reactions and regulatory ..., Quantitative analysis of catabolic carbon and electron fluxes in E. coli..., The Escherichia coli steady state response to oxygen: from molecular int...
Assays: Analysis of by-product formation rates in MG1655, Analysis of gene expression rates at different aerobiosis levels via RT-PCR, ArcA phosphorylation at different aerobiosis levels (steady states), Characterization of E. coli MG1655 and ∆sdhC and ∆frdA isogenic mutant s..., Determination of intracellular metabolite concentrations, Determination of intracellular redox state by means of NAD/NADH ratio, Determination of intracellular redox state by means of ubiquinones (oxd/..., FNR activity at different aerobiosis levels (steady state), Kinetic modelling of Escherichia coli's electron transport chain, Kinetic modelling of Escherichia coli's electron transport chain coupled..., Literature Data from Alexeeva et al., J. Bacteriol., 2000, 2002, 2003, Measurement of cytochrome numbers, Physiological measurements from Sheffield chemostat, Steady State Oxygen Response of E. coli WT and two Electron Transport Ch..., Transcriptional profiling of steady states at different aerobiosis levels
Changing the oxygen availability leads to an adaptation of Escherichia coli at different biological levels. After pertubation of oxygen in chemostat experiments there are very quick responses. This investigation deals with this dynamical behaviour (transitions) of Escherichia coli within the aerobiosis scale. The change for different biological variables, in different areas of the organism like the electron transport chain, the TCA cycle or globally is investigated by wildtype and mutants experiments ...
The Sulfolobus systems biology (‘‘SulfoSYS’’)-project represented the first (hyper-)thermophilic Systems Biology project, funded within the European trans-national research initiative ‘‘Systems Biology of Microorganisms’’. Within the SulfoSYS-project, focus lies on studying the effect of temperature variation on the central carbohydrate metabolism (CCM) of S. solfataricus that is characterized by the branched Entner–Doudoroff (ED)-like pathway for sugar (glucose, galactose) degradation and the ...
Submitter: Pawel Sierocinski
Studies: Pilot experiment - S. solfataricus grown at 70 and 80 C.
Assays: Comparison of proteome of S. solfataricus at 70 and 80C, Comparison of transcriptome of S. solfataricus at 70 and 80C, Enzyme activity tests for S. solfataricus, Fermentation of S. solfataricus at 70 and 80C in a batch fermenter, Intracellular metabolomics of S. solfataricus at 70 and 80C
Experimental approaches to evaluate cellular response to Potassium limitation. For this purpose, a series of isogenic strains derived from BY4741 and lacking one (TRK1 or TRK2) or both TRK genes encoding specific potassium uptake systems was constructed using the homologous recombination and Cre-lox system.
Submitter: Simon Borger
Studies: Analysis of proton and potassium fluxes, Experimental approaches to determine the dependence of volume, pH and me..., Ion Flux Changes, Key Cell-Physiological Parameters, Long Term Metabolomic Profile, Proteomic Studies, Pysiological Model, Transcriptional Profile
Assays: 2D-Gel Electrophoresis, Ammonium fluxes, External Potassium Concentration, External pH changes, HPLC-MS, How does internal potassium change (/decrease) during several hours of p..., How starvation affect protein content in yeast cells, LacZ Reporters, Membrane Potential, NMR, Potassium fluxes, Protein Concentration, Protein Identification - MS, Proton fluxes, RT-PCR, Stable membrane potential, Stable pH, Stable potassium concentration, Stable volume, Time Course Micro Array Experiment, Time courses of the internal pH changes, Volume determination during starvation at different times.
Challenge: Comparative analyses, as demonstrated by comparative genomics and bioinformatics, are extremely powerful for (i) transfer of information from (experimentally) well-studied organisms to the other organisms, and (ii) when coupled to functional and phenotypic information, insight in the relative importance of components to the observed differences and simalities. The central principle of this proposal is that important aspects of the functional differences between organisms derive not ...
Submitter: Martijn Bekker
Studies: Comparative modeling and phosphate dependence flux distributions and glu..., Kinetics of L-lactate dehydrogenase from S. pyogenes, E. faecalis and L...., Reconstructing the metabolic pathways of S. pyogenes and E. faecalis fro..., Study of the physiological characterization of three lactic acid bacteri...
Assays: BIOLOG substrate utilization assay, Genome-Scale Model Enterococcus faecalis V583, Genome-scale model of Streptococcus pyogenes, Global sensitivity analysis, Glucose pulsed L. lactis, Glucose pulsed S. pyogenes, Kinetics of L-lactate dehydrogenase from L. lactis, Kinetics of L-lactate dehydrogenase from S. pyogenes, E. faecalis, and L..., Maximal specific growth rates of the three lactic acid bacteria and thei..., Model of L. lactis glycolysis, Physiological characterization of Lactic acid bacteria grown in C-limite..., Regulation of the activity of lactate dehydrogenases from four lactic ac...
Investigation of dynamics of the central metabolism (glycolysis, PPP, anaplerotic reactions, purines) of yeast Saccharomyces cerevisiae in anaerobic conditions
Submitter: Maksim Zakhartsev
Studies: Metabolic perturbation of the steady state culture by glucose pulse
Assays: Biomass weight during glucose pulse, Cellular size and granularity during glucose pulse, Dynamics of extracellular metabolites during glucose pulse, Dynamics of intracellular metabolites during glucose pulse, Dynamics of macromolecules during glucose pulse, MOSES: dynamic model of glucose pulse
Steady state metabolic fluxes and metabolite concentrations of yeast Saccharomyces cerevisiae in anaerobic chemostat at D=0.1 h-1
Submitter: Maksim Zakhartsev
Studies: Steady state concentrations of metabolites in yeast Saccharomyces cerevi..., Steady state fluxes in yeast Saccharomyces cerevisiae in anaerobic chemo...
Assays: Steady state concentrations of extracellular metabolites in yeast Saccha..., Steady state concentrations of intracellular metabolites in yeast Saccha..., Steady state extracellular fluxes in anaerobic yeast Saccharomyces cerev...
Bacillus subtilis was subjected to various stress conditions like high temperature(57°C), low temperature(16°C), high osmalarity(1.2M NaCl). The above mentioned stress conditions are again split into two different types as 'continuous stress condition' and 'sudden shock'. All the conditions were then done in biological triplicates. Transcriptome for these samples was then analysed with Nimblegen Tiling array.
Submitter: Praveen kumar Sappa
Studies: Transcriptome analysis of glucose starvation in B. subtilis, Transcriptome of continuously stressed B. subtilis, Transcriptome of shocked B. subtilis cells
Assays: Tiling Array analysis of glucose strarved B. subtilis cells, Tiling Array analysis of shocked B. subtilis cells, Tiling array analysis of continuous growth stress conditions in SMM
Cellular parameters of strains lacking both TRK1 and TRK2 genes.
Submitter: Falko Krause
Studies: Bioinformatic studies, Current-voltage relation, Genetic analysis, Key Cell-Physiological Parameters of TRK1,2 Transport Systems Investiga..., Kinetic properties of Trk, Promotor Anaysis, Proteomic analysis, Transcriptional Profile, Transcriptomic Profiling of 14-3-3 Mutants
Assays: 2D Gel Analysis, Current voltage relation for different external KCl, Current-voltage relation for different internal potassium, Describing of membrane potential changes in response to proton fluxes., Determination of kinetic properties based on MIFE flux data and measurem..., In silico Promotor Anaysis, Insilico Promotor Anaysis, Interaction Database Analysis, Internal pH, Membrane Potential, Modelling of the Trk-current, Potassium Concentration, Protein Concentration, Volume
Investigation of the role of 14-3-3 proteins in the S. cerevisiae cation homeostasis
Submitter: Paul Heusden
Studies: Role of 14-3-3 proteins in the localization of proteins involved in cati...
Assays: No Assays
Experimental approaches to study the mechanism and ions involved in potassium uptake after long term potassium starvation.
Properties of cells lacking the NHA1 gene.
This investigation examines the effect of benzoic acid, a food preservative, on the ATP levels of yeast cells.
Submitter: Martin Valachovic
Studies: ATP levels after benzoic acid pretreatments, ATP levels under 10 mM benzoic acid stress, ATP levels under 30 mM and 50 mM benzoic acid stress, Cell survival under different benzoic acid concentrations, Test different ATP extraction protocols and conditions
Assays: ATP measurement under 10mM benzoic acid stress, ATP measurement under 30mM benzoic acid stress, ATP measurement under 50mM benzoic acid stress, Compare ATP extraction methods
Submitter: Christina Döring
Studies: Effect of pH on the metabolome, Effect of pH on the proteome, Effect of pH upon the transcriptome, Identification of clusters of co-regulated and anti-regulated genes, Modelling the effect of pH on the metabolic shift
Assays: Comparison of the proteome between pH 5.7 (acidogenesis) and pH 4.5 (sol..., Comparison of the transcriptome between pH 5.7 (acidogenesis) and pH 4.5..., Comparison of the transcriptome between pH 5.8 (acidogenesis) and pH 4.5..., Identification of dynamically similar transcript profiles, Steady state study of the effect of gene regulation on yields of end-pro..., Study of the end products of the acidogenesis and solventogenesis pathways, Time-dependent simulations
Handling and manipulation of S. pneumoniae using molecular, cell biological and genetic tools.
Submitter: Jan-Willem Veening
Studies: Automated time-lapse microscopy, Chromosome segregation in S. pneumoniae, Investigation of bacterial transcription fidelity and processivity, The role of transcription factor GreA in transcription fidelity and proc...
Assays: Kinetics of misincorporation and proofreading by bacterial RNA polymerase, Live Cell Imaging of Bacillus subtilis and Streptococcus pneumoniae usin..., ParB-GFP ChIP on chip, RNA-Seq
The aim of this project is to develop a detailed kinetic model of the CcpA-dependent regulatory network, the key regulon of flux regulation in B. subtilis. Thereby involved are more than 300 genes e.g. catabolism, overflow metabolism, the TCA cycle and amino acid anabolism which are regulated via carbon catabolite regulation (CCR)
High salinity chemostat cultivation, multiomics sampling (proteome, transcriptome, metabolome, fluxome) and modelling of carbon core metabolism of Bacillus subtilis 168.
Submitter: Sandra Maass
Studies: B. subtilis_SysMo2_Chemostat_growthrate-salt, Fluxome analysis of Bacillus subtilis 168 under osmotic stress
Assays: 13C Metabolic Flux Analysis of Bacillus subtilis 168 in continuous high-..., Absolute quantification of proteins by the AQUA-technology, Absolute quantification of proteins using QconCAT technology, Relative quantification of proteins by metabolic labeling, Transcriptome data for chemostat cultivated samples, extracellular metabolites, intracellular metabolites