Evidence map›Paper›PMID 34841074›Full record

ArticleClinical mass spectrometry (Del Mar, Calif.)2019

Development and evaluation of matrix application techniques for high throughput mass spectrometry imaging of tissues in the clinic.

Lennart R S Huizing, Shane R Ellis, Bart W A M M Beulen, Florian P Y Barré, Paul B Kwant, Rob J Vreeken, Ron M A Heeren

Abstract read
In one paragraph

Article in Clinical mass spectrometry (Del Mar, Calif.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Article
  2. Review
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  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Prospective on Imaging Mass Spectrometry in Clinical Diagnostics.Molecular & cellular proteomics : MCP · 2023
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Influence of Ion Source Geometry on the Repeatability of Topographically Guided LAESI-MSI.Journal of the American Society for Mass Spectrometry · 2022
    Article
  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

7 authors.

Lennart R S HuizingThe Maastricht MultiModal Molecular Imaging Institute (M4I), Division of Imaging Mass Spectrometry, Maastricht University, Universiteitssingel 50, 6229 ER Maastricht, The Netherlands.
Shane R EllisThe Maastricht MultiModal Molecular Imaging Institute (M4I), Division of Imaging Mass Spectrometry, Maastricht University, Universiteitssingel 50, 6229 ER Maastricht, The Netherlands.
Bart W A M M BeulenInstrument Development Engineering and Evaluation, Engineering Department, Maastricht University, Universiteitssingel 50, 6229 ER Maastricht, The Netherlands.
Florian P Y BarréThe Maastricht MultiModal Molecular Imaging Institute (M4I), Division of Imaging Mass Spectrometry, Maastricht University, Universiteitssingel 50, 6229 ER Maastricht, The Netherlands.
Paul B KwantInstrument Development Engineering and Evaluation, Engineering Department, Maastricht University, Universiteitssingel 50, 6229 ER Maastricht, The Netherlands.
Rob J VreekenThe Maastricht MultiModal Molecular Imaging Institute (M4I), Division of Imaging Mass Spectrometry, Maastricht University, Universiteitssingel 50, 6229 ER Maastricht, The Netherlands.
Ron M A HeerenThe Maastricht MultiModal Molecular Imaging Institute (M4I), Division of Imaging Mass Spectrometry, Maastricht University, Universiteitssingel 50, 6229 ER Maastricht, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Matrix-assisted laser desorption ionization (MALDI) mass spectrometry imaging (MSI) is a sensitive label-free technique that can be used to study a wide variety of clinical phenotypes. In this context, MSI offers huge diagnostic potential by supporting decision making in the determination of personalized treatment strategies. However, improvements in throughput and robustness are still needed before it finds a place in routine application. While the field has seen tremendous improvements in the throughput of data acquisition, robust and high-throughput sample preparation methods compatible with these acquisition methods need to be developed. To address this challenge, we have developed several methods to reduce the matrix application time to less than 5 min, while maintaining sensitivity and reproducibility. Workflows incorporating these methods provide a pipeline analysis time for MSI sample preparation and acquisition of less than 30 min. The reduced time for these analyses will contribute towards the integration of MSI into routine molecular pathology for clinical diagnostics.

Indexed as

CHCl3, chloroformDa, DaltonDHB, 2 5-dihydroxybenzoic acide.g, exempli gratiāFT-ICR, Fourier transform ion cyclotron resonanceFT-MS, Fourier transform mass spectrometryFWHM, full width at half maximumH&E, hematoxylin and eosini.e, id esITO, indium tin oxideMALDI, matrix assisted laser desorption ionizationmBar, milliBarMeOH, methanolMSI, mass spectrometry imagingm/z, mass over charge ratioNRM, norharmanePa, PascalPC, phosphatidylcholinePE, phosphatidylethanolaminePI, phosphatidylinositolPpm, parts per millionRSD, relative standard deviationSM, sphingomyelinS/N, signal-to-noise ratioTFA, trifluoroacetic acidTIC, total ion countTOF, time-of-flightV:V, volume concentration

Identifiers

PMID34841074
PMCPMC8620134

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.