Evidence map›Paper›PMID 31451764›Full record

ArticleNature methods2019

Transmission-mode MALDI-2 mass spectrometry imaging of cells and tissues at subcellular resolution.

M Niehaus, J Soltwisch, M E Belov, K Dreisewerd

Abstract read
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In one paragraph

Article in Nature methods, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 192 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
192citing papers in PubMed, 1 pooled it
22.9field-weighted citation impact, top 1% of its field
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

192 citing papers in PubMed, 1 synthesis or guideline pooled it, 410 citations in OpenAlex.

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  18. Enhancing the Sensitivity of Mass Spectrometry Imaging through Spatial Signal Averaging.Journal of the American Society for Mass Spectrometry · 2026
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132 more citing papers are in PubMed but not listed here.

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 at 1 institution in 1 country.

M Niehaus *Institute for Hygiene, University of Münster, Münster, Germany.ORCID http://orcid.org/0000-0002-4876-6190
J Soltwisch *Institute for Hygiene, University of Münster, Münster, Germany.ORCID http://orcid.org/0000-0002-0258-1561
M E BelovSpectroglyph LLC, Kennewick, WA, USA.
K DreisewerdInstitute for Hygiene, University of Münster, Münster, Germany. klaus.dreisewerd@uni-muenster.de.ORCID http://orcid.org/0000-0002-7619-808X
University of Münster · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Matrix-assisted laser desorption-ionization mass spectrometry imaging in transmission-mode geometry (t-MALDI-MSI) can provide molecular information with a pixel size of 1 µm and smaller, which makes this label-free method highly interesting for characterizing the chemical composition of tissues and cells on a (sub)cellular level. However, a major hindrance for wider use of the technology is the reduced ion abundance at small pixel sizes. Here we mitigate this problem by use of laser-induced post-ionization (MALDI-2) and by adapting a t-MALDI-2 ion source to an Orbitrap mass analyzer. We demonstrate the crucial sensitivity and accuracy boosts that are achieved with this combination by visualizing the distribution of numerous phospho- and glycolipids in mouse cerebellum and kidney slices, and in cultured Vero B4 cells. With brain tissue, a pixel size of 600 nm was achieved. Our method could constitute a valuable new tool for research in cell biology and biomedicine.

Indexed as

AnimalsBrainChlorocebus aethiopsEpithelial CellsFemaleImage Processing, Computer-AssistedKidneyLasersMiceMice, Inbred C57BLMolecular ImagingSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationVero Cells

Identifiers

PMID31451764
OpenAlexW2970286047

What OpenQuestion holds

Textmetadata
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.