Transcript profiling by microarray in 4, 6, 8, 12 and 18 h photoperiods, originally published in Flis et al, 2016, Photoperiod-dependent changes in the phase of core clock transcripts and global transcriptional outputs at dawn and dusk in Arabidopsis. doi: 10.1111/pce.12754.
SEEK ID: https://fairdomhub.org/assays/590
Assay type: Gene Expression Profiling
Technology type: Microarray
Created: 4th Dec 2017 at 14:23
Last updated: 20th Feb 2018 at 23:03
- People (2)
- Projects (2)
- Investigations (1)
- Studies (1)
- Strains (0+1)
- Data files (1)
- Publications (1)
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 in natural conditions, PlaSMo model repository
Institutions: University of Edinburghhttps://orcid.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
Literature data used in the Seaton et al. 2017 study; data processing by Daniel Seaton.
Person responsible: Andrew Millar
Snapshots: No snapshots
Microarray data at end of day (ED) and end of night (EN) in 4, 6, 8, 12, and 18h photoperiods.
Investigations: Photoperiodic control of the Arabidopsis proteo...
Authors: A. Flis, R. Sulpice, D. D. Seaton, A. A. Ivakov, M. Liput, C. Abel, A. J. Millar, M. Stitt
Date Published: No date defined
Journal: Plant Cell Environ
PubMed ID: 27075884
Citation: Plant Cell Environ. 2016 Sep;39(9):1955-81. doi: 10.1111/pce.12754. Epub 2016 Jul 15.