Evidence map›Paper›PMID 41772475›Full record

ArticleBMC plant biology2026

Comprehensive insights into the development of arabidopsis trichomes by single-nucleus RNA-seq.

Hongyu Chen, Xiner Shen, Yaqian Lu

Abstract read
In one paragraph

Article in BMC plant biology, 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

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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

3 authors.

Hongyu ChenJiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Zhongshan Biological Breeding Laboratory/Key Laboratory of Plant Functional Genomics of the Ministry of Education/Jiangsu Key Laboratory of Crop Genetics and Physiology, Agricultural College of Yangzhou University, Yangzhou, 225009, China. hongyuchen@yzu.edu.cn.
Xiner ShenInstitute of Crop Science & Institute of Bioinformatics, Zhejiang University, Hangzhou, 310058, China.
Yaqian LuInstitute of Crop Science & Institute of Bioinformatics, Zhejiang University, Hangzhou, 310058, China.

Funding

China Postdoctoral Science Foundation 2023M743078
6 · The paper itself

Abstract

backgroundTrichomes are specialized epidermal structures that perform critical functions in plant defense and development. Despite their importance, the molecular programs governing trichome initiation, differentiation, maturation, and complete developmental progression remain incompletely characterized, largely due to the inherent limitations of conventional bulk RNA sequencing approaches in capturing cellular heterogeneity. To address this knowledge gap, we leveraged publicly available single-nucleus RNA sequencing (snRNA-seq) data from Arabidopsis thaliana to construct a high-resolution developmental trajectory of trichomes, encompassing the transition from epidermal cells through initiation to branching stages. This approach enabled us to identify stage-specific transcriptional regulators and refine the molecular framework underlying trichome development.

resultsWe successfully reconstructed a continuous developmental trajectory of arabidopsis trichomes and identified distinct stages characterized by extensive transcriptional reprogramming. Key regulatory genes, including VILLIN 1(VLN1), exhibited strong stage-specific expression during the initiation phase. Additionally, multiple long non-coding RNAs (lncRNAs) were found to be differentially expressed across developmental stages, suggesting potential roles in early lineage specification and trichome fate commitment.

conclusionsThis study presents a high-resolution single-nucleus transcriptomic atlas of Arabidopsis trichome development, spanning the continuum from epidermal cells to trichome branching stages, and establishes a comprehensive molecular framework delineating the complete developmental trajectory. This resource provides valuable genetic insights for future functional investigations.

Indexed as

ArabidopsisTrichomesArabidopsis ProteinsCell NucleusGene Expression Regulation, PlantRNA-SeqSingle-Cell Gene Expression AnalysisArabidopsis ProteinsArabidopsis thalianaSnRNA-seqTrichome

Identifiers

PMID41772475
PMCPMC13059157

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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.