Experimental data reported in the Seaton et al. 2017 study; data processing by Alex Graf. Part of the EU FP7 TiMet project.
SEEK ID: https://fairdomhub.org/studies/301
Experimentalists: Plant samples generated by Mark Stitt lab, Max Planck Institute, Golm; Proteomics study and data analysis from Alex Graf; Katja Baerenfaller; Wilhelm Gruissem.
Created: 16th Nov 2017 at 13:19
Last updated: 20th Feb 2018 at 23:03
Projects: Millar group, TiMet, PHYTOCAL: Phytochrome Control of Resource Allocation and Growth in Arabidopsis and in Brassicaceae crops, POP - the Parameter Optimisation Problem, Regulation of flowering time pathways in Arabidopsis on the summer Solstice.
Institutions: University of Edinburghorcid.org/0000-0003-1756-3654
EU FP7 collaborative project TiMet, award number 245143. Funded 2010-2015.
"TiMet assembles world leaders in experimental and theoretical plant systems biology to advance understanding of the regulatory interactions between the circadian clock and plant metabolism, and their emergent effects on whole-plant growth and productivity."
Click on Snapshot 2 to download data, models and analysis for Daniel Seaton et al.
biorXiv 2017 https://doi.org/10.1101/182071 and
Molecular Systems Biology, accepted Jan 2018, https://doi.org/10.15252/msb.20177962.
Note that the published paper cannot be fully linked into this record as the DOI above was not live when we made the Research Object from this Investigation on FAIRDOMHub.
Studies: Modelling and analysis of translational coincidence, Photoperiod-specific proteome data for Arabidopsis, Proteome and translation rate data for the Ostreococcus alga and for cya..., Rhythmic and photoperiod-specific transcriptome datasets for Arabidopsis
Assays: Aryal et al, 2011, metabolic labelling of Cyanothece protein synthesis, Blasing et al, 2005, diurnal microarray in 12L:12D, Estimation of rates of translation and turnover from proteomics datasets, Martin et al, 2012, Ostreococcus N15 labelling proteomics data, Photoperiod proteomics, Stitt lab, TiMet photoperiod microarrays, Translational coincidence model
The same plant material used for transcriptome analysis in (Flis et al., 2016) was the basis of our proteome study. Briefly, Arabidopsis thaliana Col-0 plants were grown on GS 90 soil mixed in a ratio 2:1 (v/v) with vermiculite. Plants were grown for 1 week in a 16 h light (250 μmol m−2 s−1, 20 °C)/8 h dark (6 °C) regime followed by an 8 h light (160 μmol m−2 s−1, 20 °C)/16 h dark (16 °C) regime for one week. Plants were then replanted with five seedlings per pot, transferred for
Contributor: Daniel Seaton
Assay type: Protein Quantification
Technology type: Mass Spectrometry
Snapshots: No snapshots
Investigation: Photoperiodic control of the Arabidopsis proteo...
SOPs: No SOPs
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.
Investigations: Photoperiodic control of the Arabidopsis proteo...
Assays: Photoperiod proteomics
Date Published: No date defined
Journal: Not specified
Citation: Photoperiodic control of the Arabidopsis proteome reveals a translational coincidence mechanism