Evidence map›Paper›PMID 26468131›Full record

ArticleOpen biology2015

Defining the robust behaviour of the plant clock gene circuit with absolute RNA timeseries and open infrastructure.

Anna Flis, Aurora Piñas Fernández, Tomasz Zielinski, Virginie Mengin, Ronan Sulpice, Kevin Stratford, Alastair Hume, Alexandra Pokhilko, Megan M Southern, Daniel D Seaton and 4 more

Open access · goldAbstract read
In one paragraph

Article in Open biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
9.8field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 44 citations in OpenAlex.

  1. Practical RNA-Seq with Spike-Ins: A Bench-to-Bioinformatics Guide.Methods in molecular biology (Clifton, N.J.) · 2026
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  18. Parallel analysis ofOpen biology · 2017
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 4 institutions in 2 countries.

Anna FlisMax Planck Institute of Molecular Plant Physiology, Am Muehlenberg 1, 14476 Potsdam-Golm, Germany.
Aurora Piñas FernándezSynthSys and School of Biological Sciences, University of Edinburgh, C.H. Waddington Building, Edinburgh EH9 3JD, UK.
Tomasz ZielinskiSynthSys and School of Biological Sciences, University of Edinburgh, C.H. Waddington Building, Edinburgh EH9 3JD, UK.
Virginie MenginMax Planck Institute of Molecular Plant Physiology, Am Muehlenberg 1, 14476 Potsdam-Golm, Germany.
Ronan SulpiceMax Planck Institute of Molecular Plant Physiology, Am Muehlenberg 1, 14476 Potsdam-Golm, Germany.
Kevin StratfordEPCC, University of Edinburgh, James Clerk Maxwell Building, Edinburgh EH9 3JZ, UK.
Alastair HumeSynthSys and School of Biological Sciences, University of Edinburgh, C.H. Waddington Building, Edinburgh EH9 3JD, UK EPCC, University of Edinburgh, James Clerk Maxwell Building, Edinburgh EH9 3JZ, UK.
Alexandra PokhilkoSynthSys and School of Biological Sciences, University of Edinburgh, C.H. Waddington Building, Edinburgh EH9 3JD, UK Institute of Molecular Cell and Systems Biology, University of Glasgow, Bower Building, Glasgow G12 8QQ, UK.
Megan M SouthernDepartment of Biological Sciences, University of Warwick, Coventry CV4 7AL, UK.
Daniel D SeatonSynthSys and School of Biological Sciences, University of Edinburgh, C.H. Waddington Building, Edinburgh EH9 3JD, UK.
Harriet G McWattersSynthSys and School of Biological Sciences, University of Edinburgh, C.H. Waddington Building, Edinburgh EH9 3JD, UK.
Mark StittMax Planck Institute of Molecular Plant Physiology, Am Muehlenberg 1, 14476 Potsdam-Golm, Germany mstitt@mpimp-golm.mpg.de.
Karen J HallidaySynthSys and School of Biological Sciences, University of Edinburgh, C.H. Waddington Building, Edinburgh EH9 3JD, UK karen.halliday@ed.ac.uk.
Andrew J MillarSynthSys and School of Biological Sciences, University of Edinburgh, C.H. Waddington Building, Edinburgh EH9 3JD, UK andrew.millar@ed.ac.uk.ORCID http://orcid.org/0000-0003-1756-3654
University of Edinburgh · GBMax Planck Institute of Molecular Plant Physiology · DEUniversity of Glasgow · GBUniversity of Warwick · GB

Funding

Biotechnology and Biological Sciences Research Council BB/D019621/1Biotechnology and Biological Sciences Research Council BB/F005237/1Biotechnology and Biological Sciences Research Council BB/F005296/1
6 · The paper itself

Abstract

Our understanding of the complex, transcriptional feedback loops in the circadian clock mechanism has depended upon quantitative, timeseries data from disparate sources. We measure clock gene RNA profiles in Arabidopsis thaliana seedlings, grown with or without exogenous sucrose, or in soil-grown plants and in wild-type and mutant backgrounds. The RNA profiles were strikingly robust across the experimental conditions, so current mathematical models are likely to be broadly applicable in leaf tissue. In addition to providing reference data, unexpected behaviours included co-expression of PRR9 and ELF4, and regulation of PRR5 by GI. Absolute RNA quantification revealed low levels of PRR9 transcripts (peak approx. 50 copies cell(-1)) compared with other clock genes, and threefold higher levels of LHY RNA (more than 1500 copies cell(-1)) than of its close relative CCA1. The data are disseminated from BioDare, an online repository for focused timeseries data, which is expected to benefit mechanistic modelling. One data subset successfully constrained clock gene expression in a complex model, using publicly available software on parallel computers, without expert tuning or programming. We outline the empirical and mathematical justification for data aggregation in understanding highly interconnected, dynamic networks such as the clock, and the observed design constraints on the resources required to make this approach widely accessible.

Indexed as

ArabidopsisArabidopsis ProteinsBiological ClocksCircadian RhythmCLOCK ProteinsDatabases, GeneticDNA-Binding ProteinsFeedback, PhysiologicalGene Expression ProfilingGene Expression Regulation, PlantGene Regulatory NetworksRNA, MessengerSucroseTranscription FactorsArabidopsis ProteinsAt2g25930 protein, ArabidopsisCCA1 protein, ArabidopsisCLOCK ProteinsDNA-Binding ProteinsELF4 protein, ArabidopsisGI protein, ArabidopsisLHY protein, ArabidopsisLux Arrhythmo protein, ArabidopsisPRR5 protein, ArabidopsisPRR9 protein, ArabidopsisRNA, MessengerSucroseTranscription Factorsbiological clockscircadian rhythmsdata managementgene regulatory networksmodel optimizationplant biology

Identifiers

PMID26468131
PMCPMC4632509
OpenAlexW2184489869

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.