Data files

https://doi.org/10.1105/tpc.15.00737

https://doi.org/10.1038%2Fnplants.2017.87

The file contains the matrices that come from the MCMH sampling during the inference process from PBMs

The file contains the matrices that come from the MCMH sampling during the inference process from PBMs

https://doi.org/10.1073/pnas.1316278111

https://doi.org/10.1016%2Fj.cub.2010.12.021

Transformation of RLU into absolute units using a calibration curve of recombinant MBP-NanoLUC-3FLAG-10His

Plot of linear regresion of calibration curve for inferring number of molecules from NanoLUC biolumienescence in plant extracts

4 seeds of stable NanoLUC T3 homozygous lines for LHY, PRR7, TOC1, and ELF3 were seeded in 96-well flat white plate that contained 150 µl of ROBUST media and stratified for 2 days at 4ºC. Then plates were incubated in a 2 hours pulse of white light given and transferred to 22 hours darkness at 21 ºC. Then transferred 12L:12D photoperiod for 10 days. On day 10, 50 µl of 1:50 Furimazine:0.05% Triton X-100 added to each well for tracking NanoLUC bioluminescence. A) Measurements using a Tristar plate ...

4 seeds of stable NanoLUC T3 homozygous lines for LHY, TOC1 and ELF3 were seeded in 96-well flat white plate that contained 150 µl of ROBUST media and stratified for 2 days at 4ºC. Then a 2 hours pulse of white light given and transferred to 22 hours darkness at 21 ºC. Then transferred 12L:12D photoperiod for 10 days at which 50 µl of 1:50 Furimazine:0.05% Triton X-100 added to each well for tracking NanoLUC bioluminescence. Measurements using a Tristar plate reader were performed automatically ...

Small data base of clock proteins profiles obtained with western blots by several authors of A. thaliana collected from the literature. This data can be fed into simple models for making prediction of abosute number of protein when combined with RNA data in absolute units. For example the TiMet data set

"Samples of plants were collected in pre-weighed 2 ml microfuge tubes (safelock, Eppendorf) with 5 mm stainless steel grinding balls, and flash frozen in liquid nitrogen. The tissue was ground twice at 30Hz for 1 min in a Tissue Lyser (Qiagen). The samples were flash frozen between grinding steps, then placed on ice and 150 μl of BSII buffer was added to protect the samples from proteolysis, without phosphatase inhibitors (Huang et al. 2016). The tube was weighed and further BSII buffer added to ...

"Plates inoculated with Col-0 seed were grown under the same photoperiod conditions to the plants to be analysed. Plant tissue was harvested, making aliquots of 0.4 gFW. MBP-NL3F10H protein was prepared by the method described by Urquiza-Garcia U. and Millar A.J. in Plant Methods 2019. and then quantified by the linearized Bradford assay protocol using both Bovine serum albumin BSA and Ovoalbumin as standards (Ernst & Zor 2010). Then aliquots spiked with purified enzyme to generate a curve ...

This time series were obtained from the literature by perroming rough quantiftification from western blot images. In some cases the data was quantified by the authors and graphs were provided in the publications. In this case we used ImageJ or https://automeris.io/WebPlotDigitizer/

This files contains the predicions generated using a simple model of translation, described in the manuscript. This synthetic data was used to rescale U219.3 resulting in U2019.4 and U2020.3 into U2020.4. The .4 models are only resceled for the mass scale of protein and still present the dynamics of the .3 version

Analysis of carbon metabolites in clock mutants by Anna Flis and Ronan Sulpice, Mark Stitt lab

Excel spreadsheet with data and simulations used to prepare figures for publication, see Metadata sheet for conditions. Data Fresh (not dry) rosette leaf biomass, measured in samples of 5 plants each on multiple days, as mean and SD; Simulation outputs from FMv2 for Col Wild Type plants, and two simulations for prr7prr9 where the mutation affects only starch degradation or both starch degradation and malate/fumarate store mobilisation.

Starch levels in carbon units (not C6) measured on on days ...

Excel workbook with included Read.Me sheet, including FW and DW biomass data derived from files linked elsewhere; a compilation of the rosette area and gas exchange data for every plant measured of the Col, lsf1 and prr7prr9 genotypes; statistical analysis across the experiments; and charts of the compiled data, some of which are presented as figure panels in the 2022 versions.

Biomass data for individual plants at day 35, fresh and dry weights, as well as mean and SD, from study Gibberellins 1

Excel sheet with mean and SD biomass data and charts, individual metabolite replicates, mean, SD and charts Details on Read.ME worksheet

14CO2 assimilation in the night-time, in plants of Col, prr7prr9; Ws, lhycca1 genotypes at 18 and 28 days, and partitioning among cellular fractions.

Experimental data for Laurel and Hardy 3, in MATLAB binary format.

Simulation data for Laurel and Hardy 2, in MATLAB binary format.

Simulation data for Laurel and Hardy 3, in MATLAB binary format.

Excel spreadsheets for biomass, leaf number, gas exchange and metabolites, including pgm and lhycca1. Key data are for 27-28 day old plants for Col and prr7prr9, analysed for the preprint/publication. Gas exchange data for lhycca1 showed lower Assimilation per unit area than Col, prr7prr9; A in pgm was higher than Col. Metabolite data were also collected for Col and lhycca1 at 18 days, before the lhycca1 flowered, but these are marked as unreliable.

Excel spreadsheet with data and simulations used to prepare figures for publication, see Metadata sheet for conditions. Data Fresh (not dry) rosette leaf biomass, measured in samples of 5 plants each on multiple days, as mean and SD; Simulation outputs from FMv2 for Col Wild Type plants, lsf1, and two simulations for prr7prr9 where the mutation affects only starch degradation or both starch degradation and malate/fumarate store mobilisation.

Starch levels in carbon units (not C6) measured on on ...

For Chew, Seaton et al. Figure 1

Experimental data for Laurel and Hardy 2, in MATLAB binary format.

Model analysis results in binary Matlab format

Mean and SD data for metabolites and biomass, along with metadata used to simulate this experiment.

Complete excel spradsheets for Laurel and Hardy 2, including data for the pgm mutant that were not analysed in the Chew et al. 2017 preprint/publication. Data include fresh and dry biomass, gas exchange, leaf numbers and metabolites in Col0 (WT), prr7prr9, pgm and lsf1 plants. Metabolite data are from plants after 27 days of growth (end of night) and 28 days (end of day and end of night).

RNA levels for control amplicons and multiple clock genes in 2 WT (Col, Ws) and 5 clock mutants of Arabidopsis, in biological duplicates, from three conditions: Diurnal cycle (12L/12D), Extended night (DD), Extended light (LL), harvested every 2 hours. Numbers are in transcript copy per cell, obtained assuming 1 g FW contains 25000000 cells. Comments: Data from LD are concateneted with DD and LL for better visualization. Toc1-101 (col-0) gi-201 (col-0) prr7-3 prr9-1 (col-0) , lhy cca1 (ws) elf3-4 ...

for Chew, Seaton et al. paper Figure 1

For Chew, Seaton et al. Figure 1

Excel spreadsheet with data and simulations used to prepare figures for publication, see Metadata sheet for conditions. Data Fresh (not dry) rosette leaf biomass, measured in samples of 5 plants each on multiple days, as mean and SD; Simulation outputs from FMv2 for Col Wild Type plants, lsf1, and two simulations for prr7prr9 where the mutation affects only starch degradation or both starch degradation and malate/fumarate store mobilisation.

Starch levels in carbon units (not C6) measured on on ...

Experimental data, in MATLAB binary file format.

Model simulation data for Laurel and Hardy 1, in MATLAB binary format.

Biomass and metabolite data for Laurel and Hardy 1.

SD values of clock gene RNA data in absolute units of RNA copies per cell (calculated from copies per gFW, / 25 million cells/gFW) from TiMet WP1.1, RNA dataset ros (from rosettes). Note the Col data are from WP1.1, not substituted with Col from the LD12:12 of the WP1.2 photoperiod data set, as they were in Flis et al. 2015. Note also that cL_m in these data is taken from CCA1 only, not the average of CCA1 and LHY as in the data sets used for optimisation of P2011.2.1 in Flis et al. 2015.

The ...

Mean values of clock gene RNA data in absolute units of RNA copies per cell (calculated from copies per gFW, / 25 million cells/gFW) from TiMet WP1.1, RNA dataset ros (from rosettes). Note the Col data are from WP1.1, not substituted with Col from the LD12:12 of the WP1.2 photoperiod data set, as they were in Flis et al. 2015. Note also that cL_m in these data is taken from CCA1 only, not the average of CCA1 and LHY as in the data sets used for optimisation of P2011.2.1 in Flis et al. 2015.

The ...

Data for Figs. 2I, 2J, 2K in Chew et al. PNAS 2014 Fresh biomass, dry biomass (i.e. after baking out all water), SLA - specific leaf area (area per g)

The same data are available on the BioDare resource, with additional experimental meta data on growth conditions. BioDare ID 13790828881028, title "Physiology experiment using Col", the direct link is: https://www.biodare.ed.ac.uk/robust/ShowExperiment.action?experimentId=13790828881028

Data for Figs. 3D, 3E in Chew et al. PNAS 2014 Fresh biomass, dry biomass (i.e. after baking out all water), SLA - specific leaf area (area per g) Also FMv1 model simulation results.

The same data are available on the BioDare resource, with additional experimental meta data on growth conditions. BioDare ID 13790837647786, title "Physiology experiment using Fei", the direct link is: https://www.biodare.ed.ac.uk/robust/ShowExperiment.action?experimentId=13790837647786

Data for Figs. 3A, 3B in Chew et al. PNAS 2014 Fresh biomass, dry biomass (i.e. after baking out all water), SLA - specific leaf area (area per g)

Also contains model simulation data from the FMv1 The same data are available, with additional experimental meta data on growth conditions, from the BioDare resource: BioDare experiment 13790834110003; title "Physiology experiment using Ler", the direct link is: https://www.biodare.ed.ac.uk/robust/ShowExperiment.action?experimentId=13790834110003

Intact rosette is pictured, with plant number and genotype in handwritten labels, and ruler for scale. Then dissected leaves are organised in sequence of age, if necessary with small cuts to let them lie flat. Areas are then measured in image processing.

Data for Figs 3C, 3F and Supp 2 in Chew et al. PNAS 2014 Leaf number of the growing rosettes, from 4 to 37 days after sowing (DAS). Data and also results of FMv1 model simulations. Note that Fei-0 was previously tested by Mendez-Vigo et al, suggesting this line had a higher leaf appearance rate. We suggested that its larger final leaf number was more likely due to faster germination.

binary data file from "Hobo" environment multi-sensor + data logger, located next to the plants used in the experiment. Usually read in HOBOware software, free from Onsetcomp.com. Useful temperature record. Though light levels can usefully show changes they are not well calibrated.

Fig 5D

Figure 5D

Data for Fig. Supp 7B in Chew et al. PNAS 2014 Leaf number of the growing rosettes, from 5 to 37 days after sowing. Data and also results of three FMv1 model simulations, with default, fitted and linear (i.e. no juvenile-adult transition in phyllochron)

Data for Figs. 5D, 5E and Supp 7C in Chew et al. PNAS 2014 FW - fresh weight DW - dry weight (i.e. after baking out all water) SLA - specific leaf area (area per g mass), indicates leaf thickness Indiv, data for individual leaves rather than rosette

Experiment conducted in early April 2014 Intact rosette is pictured, with plant number and genotype in handwritten labels, and ruler for scale. Then dissected leaves are organised in sequence of age, if necessary with small cuts to let them lie flat.

Areas are then measured in image processing.

Supplementary information file from Chew et al. PNAS 2014, including full model description for Arabidopsis Framework Model v1, model simulations and experimental validations.

Microarray data at end of day (ED) and end of night (EN) in 4, 6, 8, 12, and 18h photoperiods.

Mean and standard deviation of protein abundances in 6h, 8h, 12h, and 18h photoperiods.

Results of the statistical analysis, identifying proteins that change in abundance significantly across photoperiods.

Proteomics data for N15 incorporation into protein in Ostreococcus grown in 12L:12D light:dark cycles.

Quantitative proteomic analysis of Cyanothece ATCC51142 grown in 12L:12D light:dark cycles, using partial metabolic labeling and LC-MS analysis.