Evidence map›Paper›PMID 24276555›Full record

ArticleHealth physics2014

Mass spectrometry imaging enriches biomarker discovery approaches with candidate mapping.

Alison J Scott, Jace W Jones, Christie M Orschell, Thomas J MacVittie, Maureen A Kane, Robert K Ernst

Abstract read
In one paragraph

Article in Health physics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. MALDI-MSI-A Step Forward in Overcoming the Diagnostic Challenges in Ovarian Tumors.International journal of environmental research and public health · 2020
    Article
  6. Article
  7. Article
  8. Host-based lipid inflammation drives pathogenesis inProceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  9. Article
  10. Article
  11. Article
  12. 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

6 authors.

Alison J Scott*University of Maryland, School of Dentistry, Baltimore, MD; †University of Maryland, School of Pharmacy, Baltimore, MD; ‡Indiana University, School of Medicine, Indianapolis, IN; §University of Maryland, School of Medicine, Baltimore, MD.
Jace W Jones
Christie M Orschell
Thomas J MacVittie
Maureen A Kane
Robert K Ernst

Funding

Signaling Pathways in Innate ImmunityT32AI095190 · NIAID · UNIVERSITY OF MARYLAND BALTIMORE · PI Stefanie N. Vogel · 2012 to 2026
$4.7M
IMMUNITY AND INFECTIONT32AI007540 · NIAID · UNIVERSITY OF MARYLAND BALTIMORE · PI KAPER, JAMES B · 1998 to 2018
$2.2M
NIAID NIH HHS HHSN272201000046CNIAID NIH HHS T32 AI007540NIAID NIH HHS T32 AI095190
6 · The paper itself

Abstract

Integral to the characterization of radiation-induced tissue damage is the identification of unique biomarkers. Biomarker discovery is a challenging and complex endeavor requiring both sophisticated experimental design and accessible technology. The resources within the National Institute of Allergy and Infectious Diseases (NIAID)-sponsored Consortium, Medical Countermeasures Against Radiological Threats (MCART), allow for leveraging robust animal models with novel molecular imaging techniques. One such imaging technique, MALDI (matrix-assisted laser desorption ionization) mass spectrometry imaging (MSI), allows for the direct spatial visualization of lipids, proteins, small molecules, and drugs/drug metabolites-or biomarkers-in an unbiased manner. MALDI-MSI acquires mass spectra directly from an intact tissue slice in discrete locations across an x, y grid that are then rendered into a spatial distribution map composed of ion mass and intensity. The unique mass signals can be plotted to generate a spatial map of biomarkers that reflects pathology and molecular events. The crucial unanswered questions that can be addressed with MALDI-MSI include identification of biomarkers for radiation damage that reflect the response to radiation dose over time and the efficacy of therapeutic interventions. Techniques in MALDI-MSI also enable integration of biomarker identification among diverse animal models. Analysis of early, sublethally irradiated tissue injury samples from diverse mouse tissues (lung and ileum) shows membrane phospholipid signatures correlated with histological features of these unique tissues. This paper will discuss the application of MALDI-MSI for use in a larger biomarker discovery pipeline.

Indexed as

Mass SpectrometryMolecular ImagingAnimalsBiomarkersFemaleIleumLungMaleMiceMice, Inbred C57BLProteolysisBiomarkers

Identifiers

PMID24276555
PMCPMC4015108

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.