Evidence map›Paper›PMID 28864470›Full record

ArticlePlant physiology2017

The G-Box Transcriptional Regulatory Code in Arabidopsis.

Daphne Ezer, Samuel J K Shepherd, Anna Brestovitsky, Patrick Dickinson, Sandra Cortijo, Varodom Charoensawan, Mathew S Box, Surojit Biswas, Katja E Jaeger, Philip A Wigge

Open access · bronzeAbstract read
In one paragraph

Article in Plant physiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 91 papers.

0numbers the graph read from it
0cells of the map it votes in
91citing papers in PubMed
32.4field-weighted citation impact, top 1% 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

91 citing papers in PubMed, 175 citations in OpenAlex.

  1. Article
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  5. Functional Analysis ofPlants (Basel, Switzerland) · 2026
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  20. Characterization, Evolution, Expression and Functional Divergence of theInternational journal of molecular sciences · 2024
    Article

31 more citing papers are in PubMed but not listed here.

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

10 authors at 1 institution in 2 countries.

Daphne EzerSainsbury Laboratory, University of Cambridge, Cambridge CB2 1LR, United Kingdom.ORCID http://orcid.org/0000-0002-1685-6909
Samuel J K ShepherdSainsbury Laboratory, University of Cambridge, Cambridge CB2 1LR, United Kingdom.
Anna BrestovitskySainsbury Laboratory, University of Cambridge, Cambridge CB2 1LR, United Kingdom.
Patrick DickinsonSainsbury Laboratory, University of Cambridge, Cambridge CB2 1LR, United Kingdom.
Sandra CortijoSainsbury Laboratory, University of Cambridge, Cambridge CB2 1LR, United Kingdom.ORCID http://orcid.org/0000-0003-3291-6729
Varodom CharoensawanSainsbury Laboratory, University of Cambridge, Cambridge CB2 1LR, United Kingdom.ORCID http://orcid.org/0000-0002-2199-4126
Mathew S BoxSainsbury Laboratory, University of Cambridge, Cambridge CB2 1LR, United Kingdom.ORCID http://orcid.org/0000-0001-7995-5384
Surojit BiswasSainsbury Laboratory, University of Cambridge, Cambridge CB2 1LR, United Kingdom.
Katja E JaegerSainsbury Laboratory, University of Cambridge, Cambridge CB2 1LR, United Kingdom.ORCID http://orcid.org/0000-0002-4153-7328
Philip A WiggeSainsbury Laboratory, University of Cambridge, Cambridge CB2 1LR, United Kingdom philip.wigge@slcu.cam.ac.uk.ORCID http://orcid.org/0000-0003-4822-361X
University of Cambridge · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plants have significantly more transcription factor (TF) families than animals and fungi, and plant TF families tend to contain more genes; these expansions are linked to adaptation to environmental stressors. Many TF family members bind to similar or identical sequence motifs, such as G-boxes (CACGTG), so it is difficult to predict regulatory relationships. We determined that the flanking sequences near G-boxes help determine in vitro specificity but that this is insufficient to predict the transcription pattern of genes near G-boxes. Therefore, we constructed a gene regulatory network that identifies the set of bZIPs and bHLHs that are most predictive of the expression of genes downstream of perfect G-boxes. This network accurately predicts transcriptional patterns and reconstructs known regulatory subnetworks. Finally, we present Ara-BOX-cis (araboxcis.org), a Web site that provides interactive visualizations of the G-box regulatory network, a useful resource for generating predictions for gene regulatory relations.

Indexed as

Gene Regulatory NetworksNucleotide MotifsArabidopsisBasic Helix-Loop-Helix ProteinsBasic-Leucine Zipper Transcription FactorsG-Box Binding FactorsGene Expression Regulation, PlantPlant ProteinsBasic Helix-Loop-Helix ProteinsBasic-Leucine Zipper Transcription FactorsG-Box Binding FactorsPlant Proteins

Identifiers

PMID28864470
PMCPMC5619884
OpenAlexW2951620549

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.