ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025
Cell-Type Specific miRNA Regulatory Network Responses to ABA Stress Revealed by Time Series Transcriptional Atlases in Arabidopsis.
Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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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.
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.
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Who cites it
11 citing papers in PubMed.
- Article
- Cell-type specific early perception of nine phytohormones revealed by single-nucleus transcriptomics in Arabidopsis.Nature communications · 2026Article
- A four-dimensional spatial transcriptome atlas of barley caryopsis development and germination.The Plant cell · 2026Article
- Inhibition of miR-224-5p promotes osteogenesis in dental pulp stem cells by targeting the PTEN/PI3K/AKT axis.Journal of orthopaedic surgery and research · 2026Article
- Genome-Wide Identification of miRNAs and Pollen-Associated miRNA-Target Relationships inPlants (Basel, Switzerland) · 2026Article
- The eTM-miR3699-MAN7 mediated cell wall degradation in regulating embryogenic cell formation during the early stage of somatic embryogenesis in apple.Horticulture research · 2026Article
- Single-Cell/Nucleus RNA-Sequencing for Phytohormone Signaling in Plants.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Epigenetic modifications in plant abiotic stress adaptation: towards climate-resilient and sustainable crop improvement.Frontiers in plant science · 2026Review
- Cell-Type Specific miRNA Regulatory Network Responses to ABA Stress Revealed by Time Series Transcriptional Atlases in Arabidopsis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- RNA interference shapes stress responses inFrontiers in plant science · 2025Review
- Plant responses to heat stress and advances in mitigation strategies.Frontiers in plant science · 2025Review
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
In plants, microRNAs (miRNAs) participate in complex gene regulatory networks together with the transcription factors (TFs) in response to biotic and abiotic stresses. To date, analyses of miRNAs-induced transcriptome remodeling are at the whole plant or tissue levels. Here, Arabidopsis's ABA-induced single-cell RNA-seq (scRNA-seq) is performed at different stages of time points-early, middle, and late. Single-cell level primary miRNAs (pri-miRNAs) atlas supported the rapid, dynamic, and cell-type specific miRNA responses under ABA treatment. MiRNAs respond rapidly and prior to target gene expression dynamics, and these rapid response miRNAs are highly cell-type specific, especially in mesophyll and vascular cells. MiRNA-TF-mRNA regulation modules are identified by identifying miRNA-contained feed-forward loops (M-FFLs) in the regulatory network, and regulatory networks with M-FFLs have higher co-expression and clustering coefficient (CC) values than those without M-FFLs, suggesting the hub role of miRNAs in regulatory networks. The cell-type-specific M-FFLs are regulated by these hub miRNAs rather than TFs through sc-RNA-seq network analysis. MiR858a-FBH3-MYB module inhibited the expression of MYB63 and MYB20, which related to the formation of plant secondary wall and the production of lignin, through M-FFL specifically in vascular. These results can provide prominent insights into miRNAs' dynamic and cell-type-specific roles in plant development and stress responses.
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Registered trials
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.