Evidence map›Paper›PMID 28945354›Full record

ArticleAnalytical chemistry2017

Integration of Ion Mobility MS

Lieke Lamont, Mark Baumert, Nina Ogrinc Potočnik, Mark Allen, Rob Vreeken, Ron M A Heeren, Tiffany Porta

Open access · hybridAbstract read
In one paragraph

Article in Analytical chemistry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
4.0field-weighted citation impact, top 5% 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

21 citing papers in PubMed, 38 citations in OpenAlex.

  1. Mass Spectrometry Imaging.Analytical chemistry · 2025
    Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Single-Cell Metabolomics by Mass Spectrometry Imaging.Advances in experimental medicine and biology · 2021
    Article
  8. Review
  9. Nano-liquid chromatography-mass spectrometry and recent applications in omics investigations.Analytical methods : advancing methods and applications · 2020
    Review
  10. Review
  11. Article
  12. Localization of sterols and oxysterols in mouse brain reveals distinct spatial cholesterol metabolism.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Imaging Isomers on a Biological Surface: A Review.Mass spectrometry (Tokyo, Japan) · 2019
    Article
  18. 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 at 3 institutions in 3 countries.

Lieke LamontMaastricht Multimodal Molecular Imaging (M4I) Institute, Division of Imaging Mass Spectrometry, Maastricht University , Maastricht, The Netherlands.
Mark BaumertAdvion , Harlow CM20 2NQ, United Kingdom.
Nina Ogrinc PotočnikMaastricht Multimodal Molecular Imaging (M4I) Institute, Division of Imaging Mass Spectrometry, Maastricht University , Maastricht, The Netherlands.
Mark AllenAdvion , Harlow CM20 2NQ, United Kingdom.
Rob VreekenMaastricht Multimodal Molecular Imaging (M4I) Institute, Division of Imaging Mass Spectrometry, Maastricht University , Maastricht, The Netherlands.
Ron M A HeerenMaastricht Multimodal Molecular Imaging (M4I) Institute, Division of Imaging Mass Spectrometry, Maastricht University , Maastricht, The Netherlands.ORCID 0000-0002-6533-7179
Tiffany PortaMaastricht Multimodal Molecular Imaging (M4I) Institute, Division of Imaging Mass Spectrometry, Maastricht University , Maastricht, The Netherlands.ORCID 0000-0001-5454-1863
Maastricht University · NLAdvion (United Kingdom) · GBJanssen (Belgium) · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Direct analysis by mass spectrometry (imaging) has become increasingly deployed in preclinical and clinical research due to its rapid and accurate readouts. However, when it comes to biomarker discovery or histopathological diagnostics, more sensitive and in-depth profiling from localized areas is required. We developed a comprehensive, fully automated online platform for high-resolution liquid extraction surface analysis (HR-LESA) followed by micro-liquid chromatography (LC) separation and a data-independent acquisition strategy for untargeted and low abundant analyte identification directly from tissue sections. Applied to tissue sections of rat pituitary, the platform demonstrated improved spatial resolution, allowing sample areas as small as 400 μm to be studied, a major advantage over conventional LESA. The platform integrates an online buffer exchange and washing step for removal of salts and other endogenous contamination that originates from local tissue extraction. Our carry over-free platform showed high reproducibility, with an interextraction variability below 30%. Another strength of the platform is the additional selectivity provided by a postsampling gas-phase ion mobility separation. This allowed distinguishing coeluted isobaric compounds without requiring additional separation time. Furthermore, we identified untargeted and low-abundance analytes, including neuropeptides deriving from the pro-opiomelanocortin precursor protein and localized a specific area of the pituitary gland (i.e., adenohypophysis) known to secrete neuropeptides and other small metabolites related to development, growth, and metabolism. This platform can thus be applied for the in-depth study of small samples of complex tissues with histologic features of ∼400 μm or more, including potential neuropeptide markers involved in many diseases such as neurodegenerative diseases, obesity, bulimia, and anorexia nervosa.

Identifiers

PMID28945354
PMCPMC5677252
OpenAlexW2757211861

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.