ReviewBiodesign research2024
Advances in the Application of Single-Cell Transcriptomics in Plant Systems and Synthetic Biology.
Review in Biodesign research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed, 31 citations in OpenAlex.
- Integrating single-cell omic techniques to resolve the spatio-temporal complexity of arbuscular mycorrhizal symbiosis.Journal of experimental botany · 2026Review
- Single-nucleus transcriptomic data of susceptible and resistant tobacco stems after black shank infection.Data in brief · 2026Article
- ThePlants (Basel, Switzerland) · 2026Review
- Single-cell RNA-sequencing profiles reveal the developmental landscape of hawthorn leaves.BMC plant biology · 2026Article
- Exploring specialized metabolic pathways in medicinal plants with single-cell and spatial omics.Acta pharmaceutica Sinica. B · 2026Review
- Advances in polyethylene biodegradation and bioconversion: Microbial, enzymatic, and biotechnological insights.Engineering microbiology · 2026Review
- Cross-species optimization of nuclei isolation in ten plant species.Plant methods · 2026Article
- Identification of Phloem Cell Transcriptome via Single-Cell RNA-Sequencing.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Single-Cell/Nucleus RNA-Sequencing for Phytohormone Signaling in Plants.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Mechanisms of Silique Dehiscence in Rapeseed: A Review of Research Progress.Current issues in molecular biology · 2025Review
- Single-cell omics in plant biology: mechanistic insights and applications for crop improvement.Advanced biotechnology · 2025Review
- A split ribozyme system for in vivo plant RNA imaging and genetic engineering.Plant biotechnology journal · 2025Article
- Opportunities and challenges in the application of single-cell transcriptomics in plant tissue research.Physiology and molecular biology of plants : an international journal of functional plant biology · 2025Review
- Review
- Recent advances in designing synthetic plant regulatory modules.Frontiers in plant science · 2025Review
- Harnessing Single-Cell and Spatial Transcriptomics for Crop Improvement.Plants (Basel, Switzerland) · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Plants are complex systems hierarchically organized and composed of various cell types. To understand the molecular underpinnings of complex plant systems, single-cell RNA sequencing (scRNA-seq) has emerged as a powerful tool for revealing high resolution of gene expression patterns at the cellular level and investigating the cell-type heterogeneity. Furthermore, scRNA-seq analysis of plant biosystems has great potential for generating new knowledge to inform plant biosystems design and synthetic biology, which aims to modify plants genetically/epigenetically through genome editing, engineering, or re-writing based on rational design for increasing crop yield and quality, promoting the bioeconomy and enhancing environmental sustainability. In particular, data from scRNA-seq studies can be utilized to facilitate the development of high-precision Build-Design-Test-Learn capabilities for maximizing the targeted performance of engineered plant biosystems while minimizing unintended side effects. To date, scRNA-seq has been demonstrated in a limited number of plant species, including model plants (e.g.,
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.