Investigations

What is an Investigation?
194 Investigations visible to you, out of a total of 583

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

Submitter: Martin Golebiewski

Studies: No Studies

Assays: No Assays

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.

Submitter: Martin Golebiewski

Studies: No Studies

Assays: No Assays

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: Martin Golebiewski

Studies: No Studies

Assays: No Assays

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.

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 ...

No description specified

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

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 ...

Submitter: Rahuman Sheriff

Studies: No Studies

Assays: No Assays

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. ...

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 ...

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).

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) ...

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 ...

No description specified

Submitter: James Wordsworth

Studies: No Studies

Assays: No Assays

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

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

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

No description specified

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 ...

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 ...

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 ...

Submitter: Rupert Overall

Studies: No Studies

Assays: No Assays

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