Evidence map›Paper›PMID 40393357›Full record

ReviewCurrent opinion in plant biology2025

Quantitative ambient mass spectrometry imaging in plants: A perspective on challenges and future applications.

Sarah E Noll, Andrea M Sama, Abigail Tripka, Alexandra J Dickinson

Abstract readReview
In one paragraph

Review in Current opinion in plant biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

4 authors.

Sarah E NollDepartment of Chemistry, Pomona College, Claremont, CA, 91711, USA; The Conservation Center, The Institute of Fine Arts, New York University, New York, NY, 10075, USA. Electronic address: sarah.noll@pomona.edu.
Andrea M SamaCell and Developmental Biology, University of California San Diego, La Jolla, CA, 92093, USA.
Abigail TripkaCell and Developmental Biology, University of California San Diego, La Jolla, CA, 92093, USA.
Alexandra J DickinsonCell and Developmental Biology, University of California San Diego, La Jolla, CA, 92093, USA. Electronic address: adickinson@ucsd.edu.

Funding

Pathways in Biological Sciences Training ProgramT32GM133351 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Matthew Daugherty, Randolph Y. Hampton · 2020 to 2026
$9.9M
Illuminating the chemical biology of stem cell decisions in plant rootsR35GM147216 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Alexandra Jazz Dickinson · 2022 to 2026
$2.0M
Training Program in Quantitative Integrative BiologyT32GM127235 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HWA, TERENCE · 2018 to 2022
$1.3M
NIGMS NIH HHS R35 GM147216NIGMS NIH HHS T32 GM127235NIGMS NIH HHS T32 GM133351
6 · The paper itself

Abstract

Mass spectrometry imaging (MSI) is a powerful approach to understanding plant chemistry in a native context because it retains key spatial information that is otherwise averaged out, permitting chemical compounds to be mapped to specific tissue structures. Identifying the spatial localization of compounds in plant tissues has provided insights into the synthesis and functional role of a wide range of endogenous molecules. The power and utility of MSI is being further expanded through the development of quantitative methodologies, which enable relative and absolute quantification of target analytes. Here, we briefly summarize applications of MSI in plant studies. We then turn our discussion to the challenges and developments in quantitative MSI, with a particular focus on ambient liquid extraction-based methods. Quantitative MSI is an emerging discipline in plant studies and holds great promise for revealing new information about the molecular composition of plant tissues and the pathways that regulate plant physiology.

Indexed as

Mass SpectrometryPlantsMass spectrometry imagingPlant metabolitesQuantitative analysis

Identifiers

PMID40393357
PMCPMC12140171

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.