Evidence map›Paper›PMID 40643895›Full record

ReviewThe Analyst2025

MALDI mass spectrometry imaging of extracellular matrix proteins.

Akaansha Rampal, Shelly R Peyton, Richard W Vachet

Abstract readReview
In one paragraph

Review in The Analyst, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. 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

3 authors.

Akaansha RampalMolecular and Cellular Biology Graduate Program, University of Massachusetts, Amherst, MA 01003, USA. vachet@umass.edu.ORCID http://orcid.org/0009-0004-9630-1699
Shelly R PeytonMolecular and Cellular Biology Graduate Program, University of Massachusetts, Amherst, MA 01003, USA. vachet@umass.edu.ORCID http://orcid.org/0000-0002-7364-8727
Richard W VachetMolecular and Cellular Biology Graduate Program, University of Massachusetts, Amherst, MA 01003, USA. vachet@umass.edu.ORCID http://orcid.org/0000-0003-4514-0210

Funding

Novel metabolomic contrast probes for human lung cancer characterizationR01CA273010 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI FARRAR, CHRISTIAN T · 2022 to 2025
$3.3M
NCI NIH HHS R01 CA273010
6 · The paper itself

Abstract

The identity, quantity, and spatial distribution of extracellular matrix (ECM) proteins in tissues defines the function of cells within. Dysregulation of ECM proteins can be coincident with or even drive various pathological conditions. Common techniques that are used to spatially detect and identify ECM proteins include magnetic resonance imaging (MRI), immunohistochemistry (IHC), second harmonic generation (SHG) imaging, and scanning electron microscopy (SEM). However, these techniques typically limit detection to only a few proteins simultaneously. Matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) has emerged as a tool capable of detecting various biomolecules such as lipids, proteins, peptides, and glycans in a spatially-defined manner due to its high molecular specificity. However, it is rarely applied to ECM proteins because of their highly cross-linked nature, relatively low abundance, and prevalence of post-translational modifications. This perspective discusses the current state and future of MALDI-MSI of ECM proteins, details the technical hurdles limiting the adoption of MALDI-MSI for ECM imaging, and summarizes the potential opportunities that MALDI-MSI has for spatially resolving ECM proteins in healthy and diseased tissues.

Indexed as

Extracellular Matrix ProteinsSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationAnimalsHumansExtracellular Matrix Proteins

Identifiers

PMID40643895
PMCPMC12426872

What OpenQuestion holds

Textmetadata
LicenceTDM
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.