Evidence map›Paper›PMID 21862708›Full record

ArticleThe Plant cell2011

Generation of signaling specificity in Arabidopsis by spatially restricted buffering of ligand-receptor interactions.

Emily B Abrash, Kelli A Davies, Dominique C Bergmann

Abstract read
In one paragraph

Article in The Plant cell, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers.

0numbers the graph read from it
0cells of the map it votes in
82citing papers in PubMed
–field-weighted citation impact
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

82 citing papers in PubMed.

  1. Review
  2. Article
  3. ERECTA-family receptor kinases: versatile regulators of plant developmental signaling.The Plant journal : for cell and molecular biology · 2026
    Review
  4. Article
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  6. Review
  7. Review
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  15. Review
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  19. Review
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22 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

3 authors.

Emily B AbrashDepartment of Biology, Stanford University, Stanford, California 94305-5020, USA.
Kelli A Davies
Dominique C Bergmann

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Core signaling pathways function in multiple programs during multicellular development. The mechanisms that compartmentalize pathway function or confer process specificity, however, remain largely unknown. In Arabidopsis thaliana, ERECTA (ER) family receptors have major roles in many growth and cell fate decisions. The ER family acts with receptor TOO MANY MOUTHS (TMM) and several ligands of the EPIDERMAL PATTERNING FACTOR LIKE (EPFL) family, which play distinct yet overlapping roles in patterning of epidermal stomata. Here, our examination of EPFL genes EPFL6/CHALLAH (CHAL), EPFL5/CHALLAH-LIKE1, and EPFL4/CHALLAH-LIKE2 (CLL2) reveals that this family may mediate additional ER-dependent processes. chal cll2 mutants display growth phenotypes characteristic of er mutants, and genetic interactions are consistent with CHAL family molecules acting as ER family ligands. We propose that different classes of EPFL genes regulate different aspects of ER family function and introduce a TMM-based discriminatory mechanism that permits simultaneous, yet compartmentalized and distinct, function of the ER family receptors in growth and epidermal patterning.

Indexed as

Amino Acid SequenceArabidopsisArabidopsis ProteinsBody PatterningCell DifferentiationGene Expression Regulation, PlantHypocotylLigandsMeristemModels, BiologicalMolecular Sequence DataMutationPhenotypePlant EpidermisPlants, Genetically ModifiedPlant StomataArabidopsis ProteinsCHALLAH protein, ArabidopsisEPFL4 protein, ArabidopsisEPFL5 protein, ArabidopsisER protein, ArabidopsisLigandsProtein Serine-Threonine KinasesReceptors, Cell Surfacetoo many mouths protein, Arabidopsis

Identifiers

PMID21862708
PMCPMC3180797

What OpenQuestion holds

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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.