Evidence map›Paper›PMID 20118660›Full record

ReviewPlant signaling & behavior2010

Gibberellic acid and cGMP-dependent transcriptional regulation in Arabidopsis thaliana.

René Bastian, Adam Dawe, Stuart Meier, Ndiko Ludidi, Vladimir B Bajic, Chris Gehring

Open access · hybridAbstract readReview
In one paragraph

Review in Plant signaling & behavior, 2010. 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
5.4field-weighted citation impact, top 5% 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, 56 citations in OpenAlex.

  1. Article
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  10. Downstream Targets of Cyclic Nucleotides in Plants.Frontiers in plant science · 2018
    Article
  11. Article
  12. The arabidopsis cyclic nucleotide interactome.Cell communication and signaling : CCS · 2016
    Article
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  15. Review
  16. Article
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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

6 authors at 3 institutions in 2 countries.

René BastianDepartment of Biotechnology, University of the Western Cape, Bellville, South Africa.
Adam Dawe
Stuart Meier
Ndiko Ludidi
Vladimir B Bajic
Chris Gehring
King Abdullah University of Science and Technology · SAStellenbosch University · ZAUniversity of the Western Cape · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An ever increasing amount of transcriptomic data and analysis tools provide novel insight into complex responses of biological systems. Given these resources we have undertaken to review aspects of transcriptional regulation in response to the plant hormone gibberellic acid (GA) and its second messenger guanosine 3',5'-cyclic monophosphate (cGMP) in Arabidopsis thaliana, both wild type and selected mutants. Evidence suggests enrichment of GA-responsive (GARE) elements in promoters of genes that are transcriptionally upregulated in response to cGMP but downregulated in a GA insensitive mutant (ga1-3). In contrast, in the genes upregulated in the mutant, no enrichment in the GARE is observed suggesting that GARE motifs are diagnostic for GA-induced and cGMP-dependent transcriptional upregulation. Further, we review how expression studies of GA-dependent transcription factors and transcriptional networks based on common promoter signatures derived from ab initio analyses can contribute to our understanding of plant responses at the systems level.

Indexed as

Gene Expression Regulation, PlantArabidopsisCyclic GMPGene Regulatory NetworksGibberellinsMutationPlant Growth RegulatorsTranscription FactorsTranscription, GeneticCyclic GMPgibberellic acidGibberellinsPlant Growth RegulatorsTranscription Factors

Identifiers

PMID20118660
PMCPMC2881265
OpenAlexW2150613877

What OpenQuestion holds

Textmetadata
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.