Investigations
What is an Investigation?Filters
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..., Patient-specific vascularized tumor model: Blocking monocyte recruitment..., Personalized Vascularized Models of Breast Cancer Desmoplasia Reveal Bio..., Polyploidy of MDA-MB-231 cells drives increased extravasation with enhan..., Utilizing convolutional neural networks for discriminating cancer and st...
Assays: All Metadata, All Metadata, Cancer Cell Extravasation Analysis - Data Linked, Cancer Cell Extravasation Analysis - Data Linked, Cell Culture - Metadata, Cell Culture Imaging - Data Linked, Cell Culture Imaging Analysis - Data Linked, Cell Culture and Tumor Spheroid Creation - Metadata, Cell Culture and Tumor Spheroid Creation - Metadata, Clot Modeling Analysis - Data Linked, Convolutional Neural Network - Data Linked, Device Creation - Metadata, Device Creation - Metadata, Device Imaging - Data Linked, Device Imaging - Data Linked, Device Imaging - Data Linked, Device Imaging - Metadata, Flow Cytometry - Data Linked, Flow Cytometry - Data Linked, Flow Cytometry Analysis - Data Linked, Flow Cytometry Analysis - Data Linked, Fluorescence-Activated Cell Sorting - Data Linked, Gene Expression Analysis - Data Linked, Imaging Analysis - Data Attached, Library Prep - Metadata, Microfluidic Device Creation - Metadata, Microfluidic Device Creation - Metadata, Microfluidic Device Imaging - Data Linked, Microvascular Network Formation - Metadata, Migration Assay Analysis - Data Linked, Permeability Analysis - Data Linked, RNA Extraction - Metadata, Real-time RT-PCR - Data Linked, Short Read Sequencing - Data Linked, Tumoroid Formation - Metadata
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: Age and sex influence antibody profiles associated with tuberculosis pro..., CD4+ T cells re-wire granuloma cellularity and regulatory networks to pr..., CD8+ lymphocytes are critical for early control of tuberculosis in macaques, Comparable Non-canonical T cell responses are associated with protection..., Fc-FcγR interactions shift alveolar macrophage metabolism to promote Myc..., Fc-engineered antibodies leverage neutrophils to drive control of Mycoba..., High-dose intravenous BCG vaccination induces enhanced immune signaling ..., Humoral correlates of protection against Mycobacterium tuberculosis foll..., Immune cells in bronchoalveolar lavage fluid of Ugandan adults who resis..., Intravenous BCG-mediated protection against tuberculosis requires CD4+ T..., Multi-modal data integration using Markov Field graphical networks predi..., Multimodal profiling of lung granulomas in macaques reveals cellular cor..., Robust IgM responses following intravenous vaccination with Bacille Calm..., Specific CD4+ T cell phenotypes associate with bacterial control in peop..., Systematic deconstruction of myeloid cell signaling in tuberculosis gran..., Systems-level computational translation of mouse and human transcriptomi...
Assays: All Metadata, All Metadata, All Metadata, All Metadata, All Metadata, All Metadata, All Metadata, All Metadata, All Metadata, Anti-Microbial Assay – Metadata, Antibody Challenge - Metadata, Antibody Titer - Data Linked, Antibody Titer Analysis - Data Linked, 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, Antibody-dependent Cellular Phagocytosis - Data Linked, Antibody-dependent Complement Deposition - Data Linked, Antibody-dependent NK Cell Activation - Data Linked, Antibody-dependent Neutrophil Phagocytosis - Data Linked, Bacterial Challenge - Metadata, Bacterial Extraction - Metadata, Bacterial Extraction - Metadata, Bacterial Extraction - Metadata, Bacterial Survivability Restriction Assay - Data Linked, Bacterial Survivability Restriction Assay: Validation Data - Data Attached, CITESEQ Analysis - Data Linked, Cell Extraction: Validation Data - Metadata, Cell Isolation - Metadata, Cell Isolation - Metadata, DNA Extraction - Metadata, Digitally Barcoded Mtb Matrix Analysis - Data Attached, Digitally Barcoded Mtb Matrix Analysis - Data Attached, Digitally Barcoded Mtb Matrix Analysis - Data Attached, ELISA - Data Linked, 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 - Data Linked, Flow Cytometry - Data Linked, Flow Cytometry - Data Linked, Flow Cytometry - Data Linked, Flow Cytometry - Data Linked, Flow Cytometry Analysis - Data Attached, Flow Cytometry Analysis - Data Linked, Flow Cytometry Analysis - Data Linked, Flow Cytometry Analysis - Data Linked, Flow Cytometry Analysis - Data Linked, Flow Cytometry Analysis - Data Linked, Flow Cytometry Analysis - Data Linked, Flow Cytometry Processing – Data Attached, Flow Cytometry – Data Linked, Functional Assay – Metadata, Gene Expression Analysis - Data Linked, Gene Expression Analysis: Training Data - Data Linked, Gene Expression Analysis: Validation Data - Data Linked, Glycosylation Assay - Data Linked, Histology - Data Linked, Immunohistochemistry - Data Linked, Immunohistochemistry - Data Linked, Immunohistochemistry – Data Linked, Library Creation - Metadata, Library Creation - Metadata, Library Creation - Metadata, Library Creation – Metadata, Library Prep - Metadata, Library Prep - Metadata, Library Prep - Metadata, Library Prep - Metadata, Library Prep: Training Data - Metadata, Library Prep: Validation Data - Metadata, Linear Mixed Model - Data Linked, Luminex - Data Linked, Luminex Assay – Metadata, Luminex Data Processing – Data Attached, Mass Cytometry - Data Linked, Mass Cytometry Analysis - Data Linked, Model Validation, Model Validation - Data Linked, NHP Necropsy – Metadata, NHP Tissue Collection – Metadata, PCR: Validation Data - Data Attached, PET-CT Scan - Data Linked, PET-CT Scan - Data Linked, PET-CT Scan Analysis – Data Linked, PET-CT Scan – Data Linked, PET/CT Scan - Data Linked, PET/CT Scan - Data Linked, Pathogen Challenge and Antibody Depletion - Metadata, Patient Visit - Metadata, Patient Visit - Metadata, Patient Visit - Metadata, Patient Visit - Metadata, Patient Visit - Metadata, Patient Visit - Metadata, Patient Visit - Metadata, Patient Visit - Metadata, Patient Visit - Metadata, Patient Visit - Metadata, Patient Visit - Metadata, Patient Visit – Metadata, Patient Visit – Metadata, RNA Extraction: Validation Data - Metadata, Short Read Sequencing - Data Linked, Short Read Sequencing - Data Linked, Short Read Sequencing - Data Linked, Short Read Sequencing - Data Linked, Short Read Sequencing - Data Linked, Short Read Sequencing - Data Linked, Short Read Sequencing - Data Linked, Short Read Sequencing: Training Data - Data Linked, Short Read Sequencing: Validation Data - Data Linked, Single Cell Clustering Analysis - Data Linked, Single Cell Clustering Analysis – Data Linked, Single Cell Expression Analysis - Data Linked, Single Cell Expression Analysis - Data Linked, Single Cell Expression Analysis - Data Linked, Single Cell Expression Analysis - Data Linked, Single Cell Expression 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 Collection - Metadata, Tissue Collection - Metadata, Tissue Collection - Metadata, Tissue Collection - Metadata, Tissue Collection - Metadata, Tissue Collection - Metadata, Tissue Collection - Metadata, Tissue Collection: Training Data - Metadata, Tissue Extraction - Metadata, Tissue Extraction – Metadata, Titer Assay - Data Linked, Titer Assay - Data Linked, Titer Assay Analysis - Data Linked, TransCompR Cross Species Modeling - 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 ...