ArticleProceedings of the National Academy of Sciences of the United States of America2025
Single-cell metabolome and RNA-seq multiplexing on single plant cells.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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
9 citing papers in PubMed.
- Shaping Plant Adaptation in a Warmer World: Developmental Plasticity Under Moderately Elevated Temperatures.Plants (Basel, Switzerland) · 2026Review
- Research Progress on Preparation, Transformation and Application of Protoplasts Derived from Medicinal Plants.Plants (Basel, Switzerland) · 2026Review
- Review
- Review
- Integrating Single-Cell and Spatial Multi-Omics to Decode Plant-Microbe Interactions at Cellular Resolution.Microorganisms · 2026Review
- Cell-type-specific alkaloid and terpenoid biosynthesis in glandular trichomes: single-cell and spatial transcriptomic perspectives.Frontiers in plant science · 2026Review
- Productive chaos and precision engineering: decoupling discovery from manufacturing to revolutionize plant-inspired therapeutics.Frontiers in plant science · 2026Article
- Single-cell metabolome and RNA-seq multiplexing on single plant cells.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- A Metabolomics and Transcriptomics Resource for Identifying Candidate Genes in the Biosynthesis of Specialised Metabolites in Populus tremula.Physiologia plantarumArticle
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Plants produce valuable natural products used for a wide variety of industrial applications. Thus, there is enormous interest in elucidating the biosynthetic pathways that are responsible for the production of these compounds. Identification of the genes that comprise these biosynthetic pathways has been enabled by gene-to-metabolite networks that are generated from transcriptomic and metabolomic datasets. Recent advances in both single-cell RNA-seq (scRNA-seq) and single-cell mass spectrometry metabolomics (scMS) have enabled the measurement of either gene expression or metabolite levels in individual cells. However, these datasets can only be used to indirectly correlate gene expression levels with metabolite concentrations at the single-cell level. In this proof-of-concept study, performed on cells derived from the leaves of the medicinal plant
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Registered trials
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