Assays

Biomass, leaf number and gas exchange data for Col0 (WT), prr7prr9, and lsf1, compiled from four studies: L&H1-3 and the 'no GA' controls of Gibberellins 1.

Follow-up to the validation experiments on FMv2, testing candidate mechanisms for high malate and fumarate accumulation in the Arabidopsis double mutant prr7prr9 and its parent accession Col.

In this study, 14CO2 labelling was used to test the rate of carbon assimilation in the dark at the end of the subjective night (starting about ZT21), which is indicative of PEPC activity in forming malate, and the subsequent partitioning of this labelled C into various cellular fractions. The short-period ...

Follow-up to the validation experiments on FMv2, testing candidate mechanisms for high malate and fumarate accumulation in the Arabidopsis double mutant prr7prr9 and its parent accession Col.

In this study, thiamine vitamers were quantified to test whether the essential cofactor TDP had altered enzyme activities to affect the malate and fumarate levels, using existing plant samples harvested from am earlier L&H study.

Biomass (fresh mass, dry mass), leaf numbers, leaf area, gas exchange and 12 metabolites in Col0 (WT), prr7prr9, and pgm at days 29 and 35, presented in the preprint/publication, with most data also for Col and lhycca1 at days 21/22/23, not analysed further.

We suggest that the lower carbon assimilation rate measured in lhycca1 (see gas exchange data) might allow a calibirated simulation in the FMv2 model in future to incorporate the indirect effects of nightly carbon starvation in this genotype ...

effects of 1% increase in each parameter, more detailed analysis of water content

correlations of starch mobilisation and fresh weight under single parameter changes

Comparison of simulated wild-type and prr7prr9 double mutant under 12L:12D cycles. Simulation with CVODE simulator via SBSI v1.5 framework.

Biomass (fresh mass, dry mass), leaf numbers, leaf area, gas exchange and 12 metabolites in Col0 (WT), prr7prr9, and lsf1 (presented in the preprint/paper) and pgm (not analysed further).

Simulation data from FMv2 calibrated for experiment L&H2, an experiment run at 18.5C instead of the 20.5C of the replicate and related studies. The Excel file includes the mean and SD of the relevant experimental data, and the figure panels.

Metabolite analysis in clock mutants: Col-0 parent and mutants gi-201, toc1-101 and prr7prr9; WS parent and lhy/cca1 double mutant. Plants grown in Golm and harvested at End of Day and End of Night, , assays 22 major metabolites. More detail on TiMet wiki if required. Heteroscedastic t-tests to highlight most significant changes, without multiple-testing correction.

RNA timeseries data from TiMet for clock genes in prr7 prr9 and Col wild-type plants under 12L:12D cycle and LL

Combination of multiple sub-models to form Framework Model version 2

Biomass, leaf number and metabolites in Col0 (WT), prr7, prr7prr9, and lsf1. Metabolite data from plants after 28 days of growth were analysed most (27 days 'end of night', 28 days 'end of day' and 'end of night'). The data file also includes data from 21 days of growth ('end of day' and 'end of night'), which is useful for comparison to early-flowering plants not tested here, such as the lhycca1 double mutant, that flower before 28 days, altering their physiology.

The data is submitted to the PRIDE repository, and will be linked here.

Targeted lipidomic analysis was performed on plasma and isolated liver microsomes of eight male fish from solvent control (Control) and High-Dose groups (n = 8) at Cinta Porte’s lab at CSIC, Spain, using Flow Injection Analysis High-Resolution Mass Spectrometry (FIA-HRMS).

The data is submitted to the MetaboLights repository.

This Jupyter Notebook assists you in understanding how a Selwyn Test works.

For help on installing the classical Jupyter Notebook, see here: https://jupyter.org/install

For documentation about Juypter Notebooks, see here: https://jupyter-notebook.readthedocs.io/en/stable/

There are multiple tutorials online that help you to learn how to use a Jupyter notebook.

The notebook is provided as an .ipynb and as a .pdf file.

The plots the script generates with the default values are also given as .png ...

This Jupyter Notebook assists you in understanding how a progress curve experiment can look like.

For help on installing the classical Jupyter Notebook, see here: https://jupyter.org/install

For documentation about Juypter Notebooks, see here: https://jupyter-notebook.readthedocs.io/en/stable/

There are multiple tutorials online that help you to learn how to use a Jupyter notebook.

The notebook is provided as an .ipynb and as a .pdf file.

The plots the script generates with the default values are ...

This Jupyter Notebook assists you in the analysis of initial rate experiments.

For help on installing the classical Jupyter Notebook, see here: https://jupyter.org/install

For documentation about Juypter Notebooks, see here: https://jupyter-notebook.readthedocs.io/en/stable/

There are multiple tutorials online that help you to learn how to use a Jupyter notebook.

The notebook is provided as an .ipynb and as a .pdf file. The plots the script generates with the default input data are also given as ...

Short Name: 06_extr_bact-assembly Assay Class: DRY Assay Type: assembly Title: De novo genome assembly of bacteria Description: De novo genome assembly of bacteria from rcf-extracted shotgun metagenomics reads pISA Assay creation date: 2021-01-16 pISA Assay creator: Marko Petek Phenodata: ../../phenodata_20210115.txt Featuredata: Data:

Short Name: 05_extr_reads-rcf Assay Class: DRY Assay Type: rcf Title: Extract reads for specific taxa using recentrifuge (rcf) Description: Extract reads for specific bacterial taxa using recentrifuge for further use in de novo genome assembly pISA Assay creation date: 2021-01-16 pISA Assay creator: Marko Petek Phenodata: ../../phenodata_20210115.txt Featuredata: Data:

Short Name: 03-Centrifuge Assay Class: DRY Assay Type: Centrifuge Title: Centrifuge classification of DNA reads Description: Taxonomic classification of shotgun gDNA Illumina reads from CPB gut microbiome and visualization using pavian pISA Assay creation date: 2021-01-15 pISA Assay creator: Marko Petek Phenodata: ../../phenodata_20210115.txt Featuredata: Data: http://stork/dirindex/fitostorage/fitostorageA/datarepo/ngs_omics/NGS_lde_dna-seq_2018_mpe_CPB-gut-metagenome/data/

Short Name: 02-DNASeq Assay Class: WET Assay Type: DNASeq Title: Shotgun CPB gut microbiome DNA-Seq Description: Sequencing of CPB gut microbiome genomic DNA to determine the offect of dsRNA feeding on the microbial flora pISA Assay creation date: 2021-01-15 pISA Assay creator: Marko Petek Phenodata: ../../phenodata_20210115.txt Featuredata: