Evidence map›Paper›PMID 39138868›Full record

ArticleJournal of the American Chemical Society2024

Quantitative Single-Cell Mass Spectrometry Provides a Highly Resolved Analysis of Natural Product Biosynthesis Partitioning in Plants.

Anh Hai Vu, Moonyoung Kang, Jens Wurlitzer, Sarah Heinicke, Chenxin Li, Joshua C Wood, Veit Grabe, C Robin Buell, Lorenzo Caputi, Sarah E O'Connor

Abstract read
In one paragraph

Article in Journal of the American Chemical Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Discovery of a Plant Pictet-Spenglerase With R-Stereoselectivity.Angewandte Chemie (International ed. in English) · 2026
    Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Single-cell metabolome and RNA-seq multiplexing on single plant cells.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  11. Review
  12. Review
  13. Article
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  15. Review
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  17. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Anh Hai VuDepartment of Natural Product Biosynthesis, Max Planck Institute for Chemical Ecology, Jena 07745, Germany.ORCID 0000-0002-7815-0426
Moonyoung KangDepartment of Natural Product Biosynthesis, Max Planck Institute for Chemical Ecology, Jena 07745, Germany.
Jens WurlitzerDepartment of Natural Product Biosynthesis, Max Planck Institute for Chemical Ecology, Jena 07745, Germany.
Sarah HeinickeDepartment of Natural Product Biosynthesis, Max Planck Institute for Chemical Ecology, Jena 07745, Germany.
Chenxin LiCenter for Applied Genetic Technologies, University of Georgia, Athens, Georgia 30602, United States.
Joshua C WoodCenter for Applied Genetic Technologies, University of Georgia, Athens, Georgia 30602, United States.
Veit GrabeMicroscopic Imaging Service, Max Planck Institute for Chemical Ecology, Jena 07745, Germany.
C Robin BuellCenter for Applied Genetic Technologies, University of Georgia, Athens, Georgia 30602, United States.
Lorenzo CaputiDepartment of Natural Product Biosynthesis, Max Planck Institute for Chemical Ecology, Jena 07745, Germany.
Sarah E O'ConnorDepartment of Natural Product Biosynthesis, Max Planck Institute for Chemical Ecology, Jena 07745, Germany.ORCID 0000-0003-0356-6213

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plants produce an extraordinary array of natural products (specialized metabolites). Notably, these structurally complex molecules are not evenly distributed throughout plant tissues but are instead synthesized and stored in specific cell types. Elucidating both the biosynthesis and function of natural products would be greatly facilitated by tracking the location of these metabolites at the cell-level resolution. However, detection, identification, and quantification of metabolites in single cells, particularly from plants, have remained challenging. Here, we show that we can definitively identify and quantify the concentrations of 16 molecules from four classes of natural products in individual cells of leaf, root, and petal of the medicinal plant

Indexed as

Biological ProductsCatharanthusMass SpectrometrySingle-Cell AnalysisPlant LeavesPlant RootsBiological Products

Identifiers

PMID39138868
PMCPMC11363012

What OpenQuestion holds

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Registered trials

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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.