Investigations

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

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: 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

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

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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 ...

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)

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 ...

Collection of models submitted to PLaSMo by Richard Adams and automatically transferred to FAIRDOM Hub.

Protein abundance of AKT and ERK pathway components governs cell-type- specific regulation of proliferation

Integrated systems biology approach including transcriptome, metabolome, proteome analyses and modelling to elucidate amino acid degradation in S. solfataricus P2.

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.

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 ...

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.

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.

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.

Design, synthesis, computational studies and biological evaluation of antiparasitic dinitroaniline-ether phospholipid hybrids

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.

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).

Division of labor by dual feedback regulators controls JAK2/STAT5 signaling over broad ligand range

Collection of models submitted to PLaSMo by Martin Beaton and automatically transferred to FAIRDOM Hub.

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 ...

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 ...

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 ...

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.

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).

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 ...

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/

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.