Evidence map›Paper›PMID 41493197›Full record

ArticlePlant biotechnology journal2026

Serial Spatial Transcriptomes Reveal Regulatory Transitions in Maize Leaf Development.

Chi-Chih Wu, Ludvig Larsson, Kun-Ting Hsieh, Chun-Ping Yu, Yi-Hua Chen, Kai-Hsuan Ding, Ho-Chun Yang, Joakim Lundeberg, Chin-Min Kimmy Ho, Shu-Hsing Wu and 2 more

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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.

Chi-Chih WuBiodiversity Research Center, Academia Sinica, Taipei, Taiwan.ORCID https://orcid.org/0000-0003-1130-7051
Ludvig LarssonScience for Life Laboratory, Department of Gene Technology, KTH Royal Institute of Technology, Stockholm, Sweden.ORCID https://orcid.org/0000-0003-4209-2911
Kun-Ting HsiehBiodiversity Research Center, Academia Sinica, Taipei, Taiwan.ORCID https://orcid.org/0000-0002-0740-0854
Chun-Ping YuBiodiversity Research Center, Academia Sinica, Taipei, Taiwan.ORCID https://orcid.org/0000-0002-6806-9157
Yi-Hua ChenBiodiversity Research Center, Academia Sinica, Taipei, Taiwan.
Kai-Hsuan DingBiodiversity Research Center, Academia Sinica, Taipei, Taiwan.
Ho-Chun YangBiodiversity Research Center, Academia Sinica, Taipei, Taiwan.
Joakim LundebergScience for Life Laboratory, Department of Gene Technology, KTH Royal Institute of Technology, Stockholm, Sweden.ORCID https://orcid.org/0000-0003-4313-1601
Chin-Min Kimmy HoInstitute of Plant and Microbial Biology, Academia Sinica, Taipei, Taiwan.ORCID https://orcid.org/0000-0002-7994-0630
Shu-Hsing WuInstitute of Plant and Microbial Biology, Academia Sinica, Taipei, Taiwan.ORCID https://orcid.org/0000-0002-7179-3138
Mei-Yeh Jade LuBiodiversity Research Center, Academia Sinica, Taipei, Taiwan.ORCID https://orcid.org/0000-0002-4053-4889
Wen-Hsiung LiBiodiversity Research Center, Academia Sinica, Taipei, Taiwan.ORCID https://orcid.org/0000-0003-2757-5026

Funding

Academia Sinica
6 · The paper itself

Abstract

Plant leaves originate from the shoot apical meristem (SAM) and undergo a developmental process of highly coordinated gene expression regulation. To date, only a few key regulators have been identified and characterised, so the gene expression cascades responsible for leaf cell specification and differentiation from SAM remain largely elusive. Here, we optimised a spatial transcriptomics protocol using the 10× Genomics Visium system and developed computational pipelines to reconstruct three-dimensional gene expression profiles of the SAM and sequentially developing leaves in maize seedlings. These enabled positional indexing of cells sampled from consecutive developmental stages, revealing dynamic transitions from undifferentiated stem cells in the SAM to functionally differentiated leaf structures. Through spatial-temporal transcriptome analysis, we identified distinct transcriptional programs and key regulatory genes involved in meristem maintenance, leaf primordia initiation, vascular tissue differentiation, and cellular heterogeneity. This approach outperforms the single-cell transcriptome profiling, which lacks temporal and spatial contexts. Our optimised experimental pipeline, which goes from section preparation to data processing, enables the spatial resolution and 3-dimensional mapping of gene expression profiles. The established pipeline is readily applicable to delineating molecular events underlying developmental transitions, cell type specifications, and differentiation in plants.

Indexed as

Plant LeavesTranscriptomeZea maysCell DifferentiationGene Expression ProfilingGene Expression Regulation, PlantMeristemSeedlings3D gene expression mappingdevelopmental trajectorygrowth‐regulating factorsmaize leaf developmentspatial transcriptomicstranscription factor networks

Identifiers

PMID41493197
PMCPMC13110159

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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.