Evidence map›Paper›PMID 41501532›Full record

ArticleNature plants2026

Imputation integrates single-cell and spatial gene expression data to resolve transcriptional networks in barley shoot meristem development.

Edgar Demesa-Arevalo, Hannah Dӧrpholz, Isaia Vardanega, Jan Eric Maika, Itzel Pineda-Valentino, Stella Eggels, Tobias Lautwein, Karl Kӧhrer, Thorsten Schnurbusch, Maria von Korff and 2 more

Abstract read
In one paragraph

Article in Nature plants, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
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  6. Single-cell insights into plant growth, adaptation, and evolution.Journal of integrative plant biology · 2026
    Review
  7. Article
  8. Article
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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

12 authors.

Edgar Demesa-ArevaloInstitute for Developmental Genetics, Faculty of Mathematics and Natural Sciences, Heinrich-Heine University, Düsseldorf, Germany.ORCID 0000-0002-2793-5928
Hannah DӧrpholzInstitute of Bio and Geosciences (IBG-4: Bioinformatics) and Bioeconomy Science Center (BioSC), Forschungszentrum Jülich, Jülich, Germany.ORCID 0000-0002-0476-9699
Isaia VardanegaInstitute for Developmental Genetics, Faculty of Mathematics and Natural Sciences, Heinrich-Heine University, Düsseldorf, Germany.ORCID 0000-0002-3642-9381
Jan Eric MaikaInstitute for Developmental Genetics, Faculty of Mathematics and Natural Sciences, Heinrich-Heine University, Düsseldorf, Germany.ORCID 0009-0009-2110-0821
Itzel Pineda-ValentinoCluster of Excellence on Plant Sciences (CEPLAS), Heinrich-Heine University, Düsseldorf, Germany.ORCID 0009-0005-1523-2247
Stella EggelsInstitute of Bio and Geosciences (IBG-4: Bioinformatics) and Bioeconomy Science Center (BioSC), Forschungszentrum Jülich, Jülich, Germany.ORCID 0000-0001-9436-3109
Tobias LautweinGenomics and Transcriptomics Laboratory (GTL), Biological and Medical Research Center (BMFZ), Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany.ORCID 0000-0002-3872-3613
Karl KӧhrerGenomics and Transcriptomics Laboratory (GTL), Biological and Medical Research Center (BMFZ), Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany.ORCID 0000-0003-3644-2022
Thorsten SchnurbuschResearch Group Plant Architecture, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), OT Gatersleben, Seeland, Germany.ORCID 0000-0002-5267-0677
Maria von KorffInstitute for Plant Genetics, Faculty of Mathematics and Natural Sciences, Heinrich-Heine University, Düsseldorf, Germany.
Bjӧrn UsadelCluster of Excellence on Plant Sciences (CEPLAS), Heinrich-Heine University, Düsseldorf, Germany.ORCID 0000-0003-0921-8041
Rüdiger SimonInstitute for Developmental Genetics, Faculty of Mathematics and Natural Sciences, Heinrich-Heine University, Düsseldorf, Germany. ruediger.simon@hhu.de.ORCID 0000-0002-1317-7716

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) CSCS FOR5235Deutsche Forschungsgemeinschaft (German Research Foundation) EXC2048Deutsche Forschungsgemeinschaft (German Research Foundation) EXC2048 CEPLASDeutsche Forschungsgemeinschaft (German Research Foundation) FOR5235
6 · The paper itself

Abstract

Grass inflorescences are composite structures, featuring complex sets of meristems as stem cell niches that are initiated in a repetitive manner. Meristems differ in identity and longevity, generate branches or split to form flower meristems that finally produce seeds. Within meristems, distinct cell types are determined by positional information and the regional activity of gene regulatory networks. Understanding these local microenvironments requires precise spatio-temporal information on gene expression profiles, which current technology cannot achieve.Here we investigate transcriptional changes during barley development, from the specification of meristem and organ founder cells to the initiation of distinct floral organs, on the basis of an imputation approach integrating deep single-cell RNA sequencing with spatial gene expression data. The expression profiles of more than 40,000 genes can now be analysed at cellular resolution in multiple barley tissues using the new web-based graphical interface BARVISTA, which enables precise virtual microdissection to analyse any sub-ensemble of cells. Our study pinpoints previously inaccessible key transcriptional events in founder cells during primordia initiation and specification, characterizes complex branching mutant phenotypes by barcoding gene expression profiles, and defines spatio-temporal trajectories during flower development. We thus uncover the genetic basis of complex developmental processes, providing novel opportunities for precisely targeted manipulation of barley traits.

Indexed as

Gene Regulatory NetworksHordeumMeristemGene Expression ProfilingGene Expression Regulation, PlantPlant ShootsSingle-Cell AnalysisSingle-Cell Gene Expression AnalysisSpatial Transcriptomics

Identifiers

PMID41501532
PMCPMC12830361

What OpenQuestion holds

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Registered trials

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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.