Evidence map›Paper›PMID 25531128›Full record

ArticlePlant signaling & behavior2014

Expression of PRX36, PMEI6 and SBT1.7 is controlled by complex transcription factor regulatory networks for proper seed coat mucilage extrusion.

Philippe Ranocha, Edith Francoz, Vincent Burlat, Christophe Dunand

Open access · bronzeAbstract read
In one paragraph

Article in Plant signaling & behavior, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-weighted citation impact, top 18% 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

9 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
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  4. Article
  5. Class III Peroxidases in Response to Multiple Abiotic Stresses inInternational journal of molecular sciences · 2022
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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

4 authors at 3 institutions in 1 country.

Philippe Ranochaa Université de Toulouse; UPS; UMR 5546; Laboratoire de Recherche en Sciences Végétales ; Castanet-Tolosan , France.
Edith Francoz
Vincent Burlat
Christophe Dunand
Université Fédérale de Toulouse Midi-Pyrénées · FRCentre National de la Recherche Scientifique · FRUniversité Toulouse III - Paul Sabatier · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mucilage secretory cells (MSC) form an intriguing cell layer important for seed germination. In Arabidopsis thaliana, several master transcription factors (TFs) and "actor" proteins have already been identified as key players for seed coat differentiation including epidermal cell formation, mucilage production and extrusion. The regulation of the genes coding for MSC cell wall "actor" proteins by TFs needs to be better established. Here, the expression and the regulation of 3 known actors (PRX36, PMEI6, SBT1.7) and 2 additional putative actors (PRX56, DIR12) have been analyzed in T-DNA mutants affected in master TFs (ap2, egl3/gl3, gl2, myb5, tt8, ttg1, ttg2 and luh1/mum1). Genes with somehow similar function are differentially regulated and conversely, genes with different functions are regulated in similar manner.

Indexed as

Gene Expression Regulation, PlantGene Regulatory NetworksArabidopsisArabidopsis ProteinsGenes, PlantModels, BiologicalMutationPlant MucilageSeedsSubtilisinsTranscription FactorsArabidopsis ProteinsPlant MucilageSBT1.7 protein, ArabidopsisSubtilisinsTranscription FactorsAP2, APETALA2Arabidopsiscell wallclass III peroxidasesEGL3, ENHANCER OF GLABRA3GL2, GLABRA2LUH/MUM1, LEUNIG HOMOLOG1/ MODIFIED MUCILAGE1MSC, mucilage secretory cellspectic mucilageseed coattranscription factorsTT8, TRANSPARENT TESTA8TTG1, TRANSPARENT TESTA GLABRA1TTG2, TRANSPARENT TESTA GLABRA2

Identifiers

PMID25531128
PMCPMC4622701
OpenAlexW2088941947

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.