Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 288

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Competitive binding of antagonistic peptides fine-tunes stomatal patterning

Open access
Lee, Jin Suk, Hnilova, Marketa, Maes, Michal, Lin, Ya-Chen Lisa, Putarjunan, Aarthi, Han, Soon-Ki, Avila, Julian, Torii, Keiko U.·2015·Nature

Abstract

During development, cells interpret complex and often conflicting signals to make optimal decisions. Plant stomata, the cellular interface between a plant and the atmosphere, develop according to positional cues, which include a family of secreted peptides called epidermal patterning factors (EPFs). How these signalling peptides orchestrate pattern formation at a molecular level remains unclear. Here we report in Arabidopsis that Stomagen (also called EPF-LIKE9) peptide, which promotes stomatal development, requires ERECTA (ER)-family receptor kinases and interferes with the inhibition of stomatal development by the EPIDERMAL PATTERNING FACTOR 2 (EPF2)–ER module. Both EPF2 and Stomagen directly bind to ER and its co-receptor TOO MANY MOUTHS. Stomagen peptide competitively replaced EPF2 binding to ER. Furthermore, application of EPF2, but not Stomagen, elicited rapid phosphorylation of downstream signalling components in vivo. Our findings demonstrate how a plant receptor agonist and antagonist define inhibitory and inductive cues to fine-tune tissue patterning on the plant epidermis.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/nature14561

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 288

Metadata

Authors
Lee, J. S., Hnilova, M., Maes, M., Lin, Y.-C. L., Putarjunan, A., Han, S.-K., Avila, J., & Torii, K. U.
Venue
Nature
Published
2015-06
Volume
522
Issue
7557
Pages
439-443
ISSN
  • 0028-0836 (ISSN-L)
  • 1476-4687
OpenAlex
W1593061023
Cited by
288
References
1
FWCI
36.30
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Competitive binding of antagonistic peptides fine-tunes stomatal patterning. https://app.cochat.ai/papers/10.1038/nature14561
The paper
Lee, J. S., Hnilova, M., Maes, M., Lin, Y.-C. L., Putarjunan, A., Han, S.-K., Avila, J., & Torii, K. U. (2015). Competitive binding of antagonistic peptides fine-tunes stomatal patterning. Nature. https://doi.org/10.1038/nature14561

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.