Evidence map›Paper›PMID 40889291›Full record

ReviewPlant physiology2025

Plant metabolism: Zoom in to the single-cell level.

Nikolaos Ntelkis, C Robin Buell, Alain Goossens

Abstract readReview
In one paragraph

Review in Plant physiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Decoding plant metabolism.Plant physiology · 2026
    Article
  4. 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

3 authors.

Nikolaos NtelkisDepartment of Plant Biotechnology and Bioinformatics, Ghent University, Ghent B-9052, Belgium.ORCID 0000-0003-2310-4040
C Robin BuellCenter for Applied Genetic Technologies, University of Georgia, Athens, GA 30602, USA.
Alain GoossensDepartment of Plant Biotechnology and Bioinformatics, Ghent University, Ghent B-9052, Belgium.ORCID 0000-0002-1599-551X

Funding

Multi-omics approaches to lower the barriers to sustainable production of plant natural products with relevance to human healthR01AT012783 · NCCIH · UNIVERSITY OF GEORGIA · PI Carol Robin Buell · 2024 to 2026
$1.5M
European Union's Horizon 2020 101000373Georgia Research AllianceGeorgia Seed DevelopmentNCCIH NIH HHS R01 AT012783Research Foundation Flanders G0E1122NUnited States National Institutes of Health 1R01AT012783United States National Science Foundation MCB-2309665University of Georgia
6 · The paper itself

Abstract

Plant specialized metabolism is intricately regulated and often compartmentalized at the cell-type level. Understanding where and when metabolites accumulate is essential for uncovering their function, biosynthesis, and regulation. Historically, studies have inferred metabolite localization based on the expression patterns of genes encoding biosynthetic enzymes, but these approaches fall short due to the complexity of metabolite transport and the discrepancy between transcript, protein, and metabolite abundance. Recent advances in mass spectrometry imaging, single-cell transcriptomics, and multiomics have enabled the direct visualization and quantification of metabolites and gene expression at cellular resolution. These technologies have revealed striking cell type- and organ-specific patterns of metabolite accumulation, as well as the underlying transcriptional and chromatin regulatory networks. In this review, we describe case studies in several model and medicinal plant species that highlight the roles of rare or specialized cell types in specialized metabolite biosynthesis and the importance of spatiotemporal regulation. In addition, we discuss why it is becoming increasingly important to transition from single- to multiomics approaches. As new tools continue to evolve, the regulation of plant metabolism will be uncovered at higher resolution, enabling precise pathway discovery and metabolic engineering for agriculture, biotechnology, and medicine.

Indexed as

Plant CellsPlantsSingle-Cell AnalysisGene Expression Regulation, PlantMetabolomics

Identifiers

PMID40889291
PMCPMC12481219

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.