ReviewGenomics, proteomics & bioinformatics2024
Opportunities and Challenges in Advancing Plant Research with Single-cell Omics.
Review in Genomics, proteomics & bioinformatics, 2024. 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.
- Cell-Specific Expression and Cellular Compartmental Regulation in Camptothecin Biosynthesis.Plant biotechnology journal · 2026Article
- Single-Cell Transcriptomics Reveals the FA9-VAP Module Regulating Fatty Acid Accumulation in Soybean Seeds.Plant biotechnology journal · 2026Article
- Single-cell insights into plant growth, adaptation, and evolution.Journal of integrative plant biology · 2026Review
- Multi-omics biomarkers in endometrial receptivity: from mechanisms to clinical translation.Journal of translational medicine · 2026Review
- Exploring specialized metabolic pathways in medicinal plants with single-cell and spatial omics.Acta pharmaceutica Sinica. B · 2026Review
- Genomics in wheat improvement: Progress and perspectives.The plant genome · 2026Review
- Epigenomics and Non-Coding RNAs in Soybean Adaptation to Abiotic Stresses.International journal of molecular sciences · 2025Review
- Molecular Network Analysis in Model and Non-Model Legumes: Challenges in Omics Data Interpretation Across Species, with a Focus onPlants (Basel, Switzerland) · 2025Review
- Review
- Review
- Emerging Trends in Microfluidic Biomaterials: From Functional Design to Applications.Journal of functional biomaterials · 2025Review
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
No grant is acknowledged in the PubMed record.
Abstract
Plants possess diverse cell types and intricate regulatory mechanisms to adapt to the ever-changing environment of nature. Various strategies have been employed to study cell types and their developmental progressions, including single-cell sequencing methods which provide high-dimensional catalogs to address biological concerns. In recent years, single-cell sequencing technologies in transcriptomics, epigenomics, proteomics, metabolomics, and spatial transcriptomics have been increasingly used in plant science to reveal intricate biological relationships at the single-cell level. However, the application of single-cell technologies to plants is more limited due to the challenges posed by cell structure. This review outlines the advancements in single-cell omics technologies, their implications in plant systems, future research applications, and the challenges of single-cell omics in plant systems.
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.