Evidence map›Paper›PMID 24802717›Full record

ArticleThe Analyst2014

Matrix effects in biological mass spectrometry imaging: identification and compensation.

Ingela Lanekoff, Susan L Stevens, Mary P Stenzel-Poore, Julia Laskin

Abstract read
In one paragraph

Article in The Analyst, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing 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

55 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Quantitative mass spectrometry imaging (qMSI): A tutorial.Journal of mass spectrometry : JMS · 2024
    Article
  17. Article
  18. Quantitative mass spectrometry imaging: therapeutics & biomolecules.Chemical communications (Cambridge, England) · 2024
    Review
  19. Article
  20. 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.

Ingela LanekoffPhysical Sciences Division, Pacific Northwest National Laboratory, PO Box 999, K8-88, Richland, WA 99352, USA. Julia.Laskin@pnnl.gov.
Susan L Stevens
Mary P Stenzel-Poore
Julia Laskin

Funding

Molecular Mechanisms of LPS Preconditioning In StrokeR01NS050567 · NINDS · OREGON HEALTH & SCIENCE UNIVERSITY · PI STENZEL-POORE, MARY P · 2005 to 2015
$3.3M
Toll-like Receptors: Novel targets of neuroprotection in ischemic brain injuryR01NS062381 · NINDS · OREGON HEALTH & SCIENCE UNIVERSITY · PI STENZEL-POORE, MARY P · 2009 to 2013
$1.8M
NINDS NIH HHS NS062381NINDS NIH HHS R01 NS050567NINDS NIH HHS R01 NS062381
6 · The paper itself

Abstract

Matrix effects in mass spectrometry imaging (MSI) may affect the observed molecular distribution in chemical and biological systems. In this study, we use mouse brain tissue of a middle cerebral artery occlusion (MCAO) stroke model to examine matrix effects in nanospray desorption electrospray ionization MSI (nano-DESI MSI). This is achieved by normalizing the intensity of the sodium and potassium adducts of endogenous phosphatidylcholine (PC) species to the intensity of the corresponding adduct of the PC standard supplied at a constant rate with the nano-DESI solvent. The use of MCAO model with an ischemic region localized to one hemisphere of the brain enables immediate comparison of matrix effects within one ion image. Furthermore, significant differences in sodium and potassium concentrations in the ischemic region in comparison with the healthy tissue allowed us to distinguish between two types of matrix effects. Specifically, we discuss matrix effects originating from variations in alkali metal concentrations and matrix effects originating from variations in the molecular composition of the tissue. Compensation for both types of matrix effects was achieved by normalizing the signals corresponding to endogenous PC to the signals of the standards. This approach, which does not introduce any complexity in sample preparation, efficiently compensates for signal variations resulting from differences in the local concentrations of sodium and potassium in tissue sections and from the complexity of the extracted analyte mixture derived from local variations in molecular composition.

Indexed as

Brain ChemistryAnimalsBrainInfarction, Middle Cerebral ArteryMiceMice, Inbred C57BLOptical ImagingPhosphatidylcholinesPotassiumSodiumSpectrometry, Mass, Electrospray IonizationPhosphatidylcholinesPotassiumSodium

Identifiers

PMID24802717
PMCPMC4078919

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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.