Evidence map›Paper›PMID 40672567›Full record

ArticleFrontiers in plant science2025

Transcriptomic exploration yields novel perspectives on the regulatory network underlying trichome initiation in

Yuxing Xie, Luying Yang, Zewei Zhao, Mingquan Ding, Yuefen Cao, Xin Hu, Junkang Rong

Abstract read
In one paragraph

Article in Frontiers in plant science, 2025. 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

7 authors.

Yuxing Xie *College of Advanced Agricultural Sciences, Zhejiang A&F University, Linan, Hangzhou, Zhejiang, China.
Luying Yang *College of Advanced Agricultural Sciences, Zhejiang A&F University, Linan, Hangzhou, Zhejiang, China.
Zewei ZhaoCollege of Advanced Agricultural Sciences, Zhejiang A&F University, Linan, Hangzhou, Zhejiang, China.
Mingquan DingCollege of Advanced Agricultural Sciences, Zhejiang A&F University, Linan, Hangzhou, Zhejiang, China.
Yuefen CaoCollege of Advanced Agricultural Sciences, Zhejiang A&F University, Linan, Hangzhou, Zhejiang, China.
Xin HuCollege of Advanced Agricultural Sciences, Zhejiang A&F University, Linan, Hangzhou, Zhejiang, China.
Junkang RongCollege of Advanced Agricultural Sciences, Zhejiang A&F University, Linan, Hangzhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Trichomes play a crucial role in plant stress tolerance and serve as an excellent model for studying epidermal cell differentiation. To elucidate the molecular mechanisms underlying trichome development in cotton stems, we investigated two Gossypium arboreum mutants that exhibit abnormal trichome patterns during hypocotyl growth. Based on morphological characteristics, we classified four developmental stages: preinitiation, initiation, elongation, and maturation. Comparative transcriptome profiling of epidermal cells across these stages identified differentially expressed genes (DEGs) through maSigPro analysis, which revealed that these DEGs were primarily associated with pathways involved in cell wall metabolism. Additionally, integrated weighted gene co-expression network analysis (WGCNA) and Cytoscape analyses identified 20 core regulatory genes from a total of 59 candidates linked to epidermal development. Utilizing three machine learning algorithms (SVM-RFE, Boruta, and LASSO), we consistently prioritized five key regulators:

Indexed as

Gossypium arboreummachine learningtranscriptome analysistrichome initiation developmentWGCNA

Identifiers

PMID40672567
PMCPMC12263914

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.