Evidence map›Paper›PMID 42761523›Full record

ReviewFrontiers in plant science2026

Cell-type-specific alkaloid and terpenoid biosynthesis in glandular trichomes: single-cell and spatial transcriptomic perspectives.

Hao Wei, Hengyu Zhang, Jinrong Wang, Jingyi Wei, Mengxin Zhu, Abinaya Manivannan

Abstract readReview
In one paragraph

Review in Frontiers in plant science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Hao Wei *School of Life Sciences, Qufu Normal University, Qufu, Shandong, China.
Hengyu Zhang *School of Life Sciences, Qufu Normal University, Qufu, Shandong, China.
Jinrong Wang *School of Life Sciences, Qufu Normal University, Qufu, Shandong, China.
Jingyi WeiDivision of Life Science Department, Gyeongsang National University, Jinju, Republic of Korea.
Mengxin ZhuSchool of Life Sciences, Qufu Normal University, Qufu, Shandong, China.
Abinaya ManivannanSchool of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glandular trichomes serve as critical cellular factories for plant secondary metabolism, playing a central role in the biosynthesis, transport, and storage of diverse secondary metabolites. However, traditional macro-scale omics approaches often overlook the cellular heterogeneity within tissues, making it difficult to resolve the specific dynamics of different cell types in glandular trichomes. This limitation has hindered a deeper understanding of secondary metabolic pathways and their regulatory mechanisms. Recent advances in single-cell and spatial omics technologies are now helping to address this challenge. Single-cell omics enables researchers to elucidate the complex mechanisms of metabolic biosynthesis and intercellular transport at higher resolution. Meanwhile, spatial omics reveals their precise three-dimensional organization within intact glandular trichomes. By integrating these complementary approaches, researchers can identify candidate genes, spatial distribution of metabolic enzymes and transporters across distinct cell types, thereby constructing more refined and predictive metabolic network models. This review systematically summarizes the latest applications of single-cell and spatial omics technologies in research on glandular trichomes. Particularly focusing on the biosynthetic pathways of alkaloids and terpenoids in key model plants, including

Indexed as

intercellular transportmetabolic compartmentalizationsecondary metabolismspatial omicssynthetic biology

Identifiers

PMID42761523
PMCPMC13587695

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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.