Evidence map›Paper›PMID 40863156›Full record

ReviewMetabolites2025

Spatially Resolved Plant Metabolomics.

Ronald J Myers, Zachary M Tretter, Abigail G Daffron, Eric X Fritschi, William Thives Santos, Maiya L Foster, Matthew Klotz, Kristin M Stafford, Christina Kasch, Thomas J Taylor and 5 more

Abstract readReview
In one paragraph

Review in Metabolites, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Review
  3. Metabolites · 2026
    Article
  4. Review
  5. Review
  6. Article
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

15 authors.

Ronald J MyersDivision of Biochemistry, University of Missouri-Columbia, Columbia, MO 65211, USA.ORCID 0000-0003-4723-4974
Zachary M TretterDivision of Biochemistry, University of Missouri-Columbia, Columbia, MO 65211, USA.
Abigail G DaffronDivision of Biochemistry, University of Missouri-Columbia, Columbia, MO 65211, USA.
Eric X FritschiDivision of Biochemistry, University of Missouri-Columbia, Columbia, MO 65211, USA.
William Thives SantosDivision of Biochemistry, University of Missouri-Columbia, Columbia, MO 65211, USA.ORCID 0009-0002-8819-7989
Maiya L FosterDivision of Biochemistry, University of Missouri-Columbia, Columbia, MO 65211, USA.
Matthew KlotzDivision of Biochemistry, University of Missouri-Columbia, Columbia, MO 65211, USA.
Kristin M StaffordDivision of Biochemistry, University of Missouri-Columbia, Columbia, MO 65211, USA.
Christina KaschDivision of Biochemistry, University of Missouri-Columbia, Columbia, MO 65211, USA.
Thomas J TaylorDivision of Biochemistry, University of Missouri-Columbia, Columbia, MO 65211, USA.
Lillian C TellefsonDivision of Biochemistry, University of Missouri-Columbia, Columbia, MO 65211, USA.
Tyler HartmanDivision of Biochemistry, University of Missouri-Columbia, Columbia, MO 65211, USA.
Dru HacklerDivision of Biochemistry, University of Missouri-Columbia, Columbia, MO 65211, USA.
Preston StephenDivision of Biochemistry, University of Missouri-Columbia, Columbia, MO 65211, USA.
Lloyd W SumnerDivision of Biochemistry, University of Missouri-Columbia, Columbia, MO 65211, USA.ORCID 0000-0002-4086-663X

Funding

NP-MRD: Natural Products Magnetic Resonance DatabaseU24AT010811 · NCCIH · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI CORT, JOHN R · 2020 to 2024
$4.1M
NCCIH NIH HHS U24 AT010811
6 · The paper itself

Abstract

Research and innovation in metabolomics tools to measure metabolite accumulation within plants have led to important discoveries with respect to the improvement of plant stress tolerance, development, and crop yield. Traditional metabolomics analyses have commonly utilized gas chromatography-mass spectrometry and liquid chromatography-mass spectrometry, but these methods are often performed without regard for the spatial locations of metabolites within tissues. Methods for mass spectral imaging (MSI) have recently been developed to detect and spatially resolve metabolite accumulation and are rapidly being adopted on a wider scale. Since 2010, the number of publications incorporating mass spectral imaging has grown from approximately 80 articles to over 378 on a yearly basis, constituting an increase of at least 350% during this time frame. Spatially resolved metabolite accumulation data provides unique insights into the function and regulation of plant biochemical pathways. Mass spectral imaging is commonly paired with desorption ionization technologies, including matrix-assisted laser desorption ionization (MALDI) and desorption electrospray ionization (DESI), to generate accurate, spatially resolved metabolomics data from prepared tissue segments. Here, we describe the most recent advancements in sample preparation methods, mass spectral imaging technologies, and data processing tools that have been developed to address the limits of MSI technology. Additionally, we summarize recent applications of MSI technologies in plant metabolomics and discuss potential avenues for future research advancements within the plant biology community through the use of these technologies.

Indexed as

desorption electrospray ionizationmass spectral imagingmass spectrometrymatrix-assisted laser desorption ionizationplant metabolismplant stressspatial metabolomics

Identifiers

PMID40863156
PMCPMC12388700

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.