ReviewAdvanced biotechnology2025
Single-cell omics in plant biology: mechanistic insights and applications for crop improvement.
Review in Advanced biotechnology, 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
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.
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.
Who cites it
11 citing papers in PubMed.
- Revisiting the Molecular Roadmap for Sugar Crops: Genome Reading, Trait Writing and Variety Redesigning.Plant biotechnology journal · 2026Review
- Identification, expression and potential functional analyses of the seven chloride channels in grapevine.Protoplasma · 2026Article
- Nanopore direct RNA sequencing and the epitranscriptome: Advances in mapping native RNA landscapes.iMeta · 2026Review
- Single-cell RNA-sequencing profiles reveal the developmental landscape of hawthorn leaves.BMC plant biology · 2026Article
- Deciphering Cell-Type-Specific Transcriptional Regulation in Tomato Leaves Through Ensemble Machine Learning and Single-Cell Transcriptomics.Plants (Basel, Switzerland) · 2026Article
- Next-Generation Genotyping: Innovations Driving Plant Genomic Improvement.Life (Basel, Switzerland) · 2026Review
- Cross-species optimization of nuclei isolation in ten plant species.Plant methods · 2026Article
- Productive chaos and precision engineering: decoupling discovery from manufacturing to revolutionize plant-inspired therapeutics.Frontiers in plant science · 2026Article
- Advancements in photosynthetic efficiency: Pathways, regulation, and biotechnological applications for enhancing crop productivity.Plant signaling & behavior · 2025Review
- Review
- Multi-Level Approaches for Assessing Molecular and Physiological Traits of Drought and Heat Stress Tolerance in Plant Reproductive Development.Physiologia plantarumReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
In recent years, single-cell omics technologies have significantly advanced plant and agricultural research, providing transformative insights into plant development, cellular heterogeneity, and environmental response mechanisms. Traditional bulk-level analyses often obscure differences between individual cells, whereas single-cell RNA sequencing (scRNA-seq) and single-nucleus RNA sequencing (snRNA-seq) now reveal unique expression profiles across distinct cell populations, facilitating the identification of novel cell types and elucidation of gene regulatory networks. Additionally, epigenomic approaches like single-nucleus ATAC sequencing (snATAC-seq) offer a deeper understanding of chromatin accessibility and its complex relationship with gene regulation. These technologies have seen widespread application in model plants such as Arabidopsis thaliana, as well as in major crops and horticultural plants, providing essential data for crop improvement and breeding strategies. Moving forward, with the continued development and integration of single-cell multi-omics technologies, there will be greater depth of insight into cell-type-specific regulation and complex trait analysis, bringing new opportunities for sustainable agriculture and crop improvement.
Indexed as
Identifiers
What OpenQuestion holds
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.