Evidence map›Paper›PMID 38103980›Full record

ReviewTrends in pharmacological sciences2024

Spatial pharmacology using mass spectrometry imaging.

Presha Rajbhandari, Taruna V Neelakantan, Noreen Hosny, Brent R Stockwell

Abstract readReview
In one paragraph

Review in Trends in pharmacological sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Review
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  12. EXO : beyond the cell · 2026
    Article
  13. Review
  14. Article
  15. Review
  16. Mass Spectrometry Imaging for Spatial Toxicology Research.Journal of mass spectrometry : JMS · 2024
    Review
  17. Article
  18. Review
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  20. Review
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.

Presha RajbhandariDepartment of Biological Sciences, Columbia University, New York, NY, USA.
Taruna V NeelakantanDepartment of Chemistry, Columbia University, New York, NY, USA.
Noreen HosnyIrving Institute for Cancer Dynamics, Columbia University, New York, NY, USA; Department of Molecular Biology, Princeton University, Princeton, NJ, USA.
Brent R StockwellDepartment of Biological Sciences, Columbia University, New York, NY, USA; Department of Chemistry, Columbia University, New York, NY, USA; Irving Institute for Cancer Dynamics, Columbia University, New York, NY, USA; Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA; Department of Pathology and Cell Biology, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA. Electronic address: bstockwell@columbia.edu.

Funding

Defining the functions and translational potential of ferroptosisR35CA209896 · NCI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI STOCKWELL, BRENT R. · 2016 to 2022
$6.5M
Multimodal mass spectrometry imaging of mouse and human liverUH3CA256962 · NCI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI STOCKWELL, BRENT R., TIAN, HUA · 2022 to 2023
$1.4M
NCI NIH HHS R35 CA209896NCI NIH HHS UH3 CA256962
6 · The paper itself

Abstract

The emerging and powerful field of spatial pharmacology can map the spatial distribution of drugs and their metabolites, as well as their effects on endogenous biomolecules including metabolites, lipids, proteins, peptides, and glycans, without the need for labeling. This is enabled by mass spectrometry imaging (MSI) that provides previously inaccessible information in diverse phases of drug discovery and development. We provide a perspective on how MSI technologies and computational tools can be implemented to reveal quantitative spatial drug pharmacokinetics and toxicology, tissue subtyping, and associated biomarkers. We also highlight the emerging potential of comprehensive spatial pharmacology through integration of multimodal MSI data with other spatial technologies. Finally, we describe how to overcome challenges including improving reproducibility and compound annotation to generate robust conclusions that will improve drug discovery and development processes.

Indexed as

Drug DiscoveryPeptidesBiomarkersHumansReproducibility of ResultsSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationBiomarkersPeptidesDESimagingMALDImass spectrometry imagingmultimodal imagingSIMS

Identifiers

PMID38103980
PMCPMC10842749

What OpenQuestion holds

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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.