Studies

To map genome wide transcriptome responses in Atlantic cod PCLS treated with BaP and EE2. See Yadetie et al., 2018.

Study: _S_04_stPanTr
Short Name: 04_stPanTr
Title: Solanum tuberosum Pan-Transcriptome
Description: Solanum tuberosum Pan-Transcriptome
Raw Data: _S_03_stCuSTr/
pISA Study creation date: 2019-10-22
pISA Study creator: Maja Zagorscak, Marko Petek, Ziva Ramsak
Principal investigator: Kristina Gruden
License: MIT
Sharing permission: Public
Upload to FAIRDOMHub: Yes

RELATED FILES:
/reports/README.MD https://fairdomhub.org/documents/349
/_STUDY_METADATA.TXT https://fairdomhub.org/documents/348
/README.MD
...

Study: _S_03_stCuSTr
Short Name: 03_stCuSTr
Title: Solanum tuberosum Cultivar-Specific Transcriptomes
Description: Solanum tuberosum Cultivar-Specific Transcriptomes
Raw Data: ../_S_01_sequences/, ../_S_02_denovo/
pISA Study creation date: 2019-10-22
pISA Study creator: Maja Zagorscak, Marko Petek, Ziva Ramsak
Principal investigator: Kristina Gruden
License: MIT
Sharing permission: Public
Upload to FAIRDOMHub: Yes

RELATED FILES:
/reports/README.MD https://fairdomhub.org/documents/346
/_STUDY_METADATA.TXT
...

Study: _S_02_denovo
Short Name: 02_denovo
Title: De novo assemblies
Description: De novo assemblies for cration of potato reference transcriptomes
Raw Data: ../_S_01_sequences/
pISA Study creation date: 2019-10-23
pISA Study creator: Maja Zagorscak, Marko Petek, Ziva Ramsak
Principal investigator: Kristina Gruden
License: MIT
Sharing permission: Public
Upload to FAIRDOMHub: Yes

RELATED FILES:
/reports/README.MD https://fairdomhub.org/documents/343
/_STUDY_METADATA.TXT https://fairdomhub.org/documents/342
...

Study: _S_01_sequences
Short Name: 01_sequences
Title: NGS sequences for de novo assembly
Description: NGS sequences for de novo assembly; input for Study 02_denovo
Raw Data: see: ./reports/SupplementaryTableS1-Input_sequences_information.xlsx
pISA Study creation date: 2019-10-23
pISA Study creator: Maja Zagorscak, Marko Petek, Ziva Ramsak
Principal investigator: Kristina Gruden
License: MIT
Sharing permission: Public
Upload to FAIRDOMHub: Yes

RELATED FILES:
/reports/README.MD
...

Predictions made using the core model for combinatorial perturbations to the model simulating combined effects from OE, KO mutants, perturbations and time series concentrations.

Validation of the core model of glycolysis, pyruvate metabolism and ATPase reaction using OE, KO mutant samples and perturbation samples

Training of the core model, parameter estimation using Evolutionary Programming using metabolomics, proteomics and some flux data.
The core model contains reactions in glycolysis, pyruvate metabolism and ATPase

Internal metabolites concentrations for time series data (not pulse experiments) and for mutant OE, KO mutants and perturbations
External metabolite concentrations for time series data (not pulse experiments) and for mutant OE, KO mutants and perturbations
Mutant (OE, KO, perturbation) metabolite measurements

This section contains all the raw data and files required for each figures.

Determination of thermophysical properties (densities, diffusion coefficients, energy contributions) of different methanol-water mixtures using molecular dynamics simulations.

Assays for model composition here, in order to share model files; potentially training and validation data in other Studies.

This is a collection of data involving choline chloride:glycerol:water mixtures stored in CML.

Pharmacokinetics data set for caffeine

This is the SimileXML for the Salazar2009_FloweringPhotoperiod model in PlaSMo. It corresponds to Model 3 in the publication of Salazar et al 2009. The Simile version of this model is also attached here. Instructions to run the Photoperiodism Model in Simile 1.       Save all the files into the same folder. 2.       Copy and paste the attached ‘lightfunction.pl’ file in the following folder:            Program File > Simile6.0 (or other software version)> Functions 3.       Download the
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This is the SimileXML for the Salazar model linked to the T6P/TPS pathway (Wahl et al. Science 2013). The Simile version of this model and the parameter file are also attached here. Time series data of T6P and FT mRNA for Col wild type and tps1 mutant from Fig. 1 in Wahl et al were used to re-optimise Bco, KCO, kT6P and vT6P (which replaces VCO). Note: This set of parameter values has only been optimised and tested for a 16:8 light:dark cycle, and the initial values in the Simile model are for
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This is part of the GreenLab Functional-Structural Plant Model for Arabidopsis published in Christophe et al 2008. This model was re-factored, to facilitate the integration in the Chew et al Framework Model, and it cannot be run as a standalone model.  Related PublicationsAngélique Christophe A E, Véronique Letort B, Irène Hummel A, Paul-Henry Cournède B, Philippe de Reffye C, Jérémie Lecœur (2008). A model-based analysis of the dynamics of carbon balance at the whole-plant level in Arabidopsis
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This is the Framework Model (Chew et al, PNAS 2014; http://www.pnas.org/content/early/2014/08/27/1410238111) that links the following: 1. Arabidopsis leaf carbohydrate model (Rasse and Tocquin) - Carbon Dynamic Model 2. Part of the Christophe et al 2008 Functional-Structural Plant Model 3. Chew et al 2012 Photothermal Model 4. Salazar et al 2009 Photoperiodism Model   To run the model in Simile, please download the Evaluation Edition of the software from http://www.simulistics.com/products/simile.php
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This is a photothermal model for Arabidopsis that predicts flowering time, published in Chew et al (2012). It is an improved version of the model in Wilczek et al (Science 2009). A Simile version of the model is attached. Instructions to run the Photothermal Model in Simile 1.       Download the Simile file attached or import the XML into Simile:            a.       File > Import > XML Model Description 2.       To run the model:            a.       Model > Run or click on the ‘Play’
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Proteomics and transcriptomics data tables, sample IDs and description, source code

edit later

Publication data made available for Biotechnology Reports, supplementary data

This study involves all data gathered from the Kollevåg study - studying environmental pollution at a capped waste disposal site in Kollevåg, Askøy.

Cod were caged in Kollevåg (Stations 1, 2 and 3 - from inner to outer parts) and at a reference location (Ref station) for a period of six weeks, from 2nd September 2016, to 17-18th October 2016.

By generating CRISPR-mediated elovl2 knockout, we are planning to study the crucial role of elovl2 for multi-tissue synthesis of 22:6n-3 in vivo. Endogenously synthesized PUFAs are important for transcriptional regulation of lipogenic genes in Atlantic salmon. This study demonstrates key roles of elovl2 at two penultimate steps of PUFA synthesis in vivo and suggests Srebp-1 as a main regulator of endogenous PUFA synthesis in Atlantic salmon.

Hormonomics measurements.

Symptoms obsevation, photosynthetic, pathogen (qPCR), transcriptomics (qPCR, microarrays, Degradome-Seq) and proteomics (MS) measurements.

The models in this record were published in Flis et al. Royal Society Open Biology 2015. Their original IDs in the PlaSMo resource and IDs in Biomodels are given below. Please select files for download from the 'Related Items' list or the object tree/graph, below. 'SUBMITTED' is the original model version; 'SIMPLIFIED' removes SBML elements that were incompatible with SloppyCell software.

Original model: Arabidopsis clock model P2011.1.1 from Pokhilko et al. Mol Syst. Biol. 2012,
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Photothermal model for Arabidopsis development, as published, converted to Simile format by Yin-Hoon Chew. Note that the XML file is just a dummy SBML file, the .SML is the working model file. Simile can read csv files (as attached) for meteorological data (hourly temperature, sunrise, sunset). Users only need to change the directory of the input variables. I have also attached the set of parameter values for each genotype.Related PublicationsWilczek et al. (2009). Effects of Genetic Perturbation
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Detailed model of starch metabolism from Sorokina et al. BMC Sys Bio 2011. First upload is a draft.

Related Publications
Sorokina et al (2011). BMicroarray data can predict diurnal changes of starch content in the picoalga Ostreococcus.. BMC Systems Biology. Retrieved from: http://www.ncbi.nlm.nih.gov/pubmed/21352558

Originally submitted to PLaSMo on 2011-08-12 15:34:00