Evidence map›Paper›PMID 41607092›Full record

ArticlePlant biotechnology journal2026

S

Kelly L Vomo-Donfack, Mariem Abaach, Ana M Luna, Grégory Ginot, Verónica G Doblas, Ian Morilla

Abstract read
In one paragraph

Article in Plant biotechnology journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Kelly L Vomo-DonfackUniversité Sorbonne Paris Nord, LAGA, CNRS, UMR 7539, Laboratoire D'excellence Infibrex, Villetaneuse, France.ORCID https://orcid.org/0009-0008-2799-2472
Mariem AbaachMAP5 UMR CNRS 8145, Université de Paris, Paris, France.
Ana M LunaInstituto de Hortofruticultura Subtropical y Mediterránea La Mayora (IHSM), Universidad de Málaga-Consejo Superior de Investigaciones Científicas, Málaga, Spain.
Grégory GinotUniversité Sorbonne Paris Nord, LAGA, CNRS, UMR 7539, Laboratoire D'excellence Infibrex, Villetaneuse, France.
Verónica G DoblasInstituto de Hortofruticultura Subtropical y Mediterránea La Mayora (IHSM), Universidad de Málaga-Consejo Superior de Investigaciones Científicas, Málaga, Spain.ORCID https://orcid.org/0000-0002-5476-3228
Ian MorillaUniversité Sorbonne Paris Nord, LAGA, CNRS, UMR 7539, Laboratoire D'excellence Infibrex, Villetaneuse, France.ORCID https://orcid.org/0000-0002-5100-5990

Funding

Consejería de Universidad, Investigación e Innovación Junta de Andalucía ProyExec_0499Ministerio de Ciencia, Innovación y Universidad PID2020-113378RA-I00Universidad de Málaga B1-2022-29
6 · The paper itself

Abstract

Small signalling peptides (SSPs) serve as crucial mediators of cell-to-cell communication in plants, orchestrating diverse physiological processes from development to stress responses. While recent advances in sequencing technologies have improved genome annotation, the identification of novel SSPs remains challenging due to their small size, sequence diversity, and often transient expression patterns. To address this bottleneck, we developed S

Indexed as

PeptidesPlant ProteinsPlantsSoftwareInternetMachine LearningPrediction AlgorithmsSignal TransductionPeptidesPlant Proteinsmachine learning in plant biologyplant development and stress responseplant signalling peptide predictionsmall signalling peptides

Identifiers

PMID41607092
PMCPMC13110189

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.