Evidence map›Paper›PMID 21614190›Full record

ReviewInternational journal of molecular sciences2010

Matrix-assisted laser desorption/ionization imaging mass spectrometry.

Nobuhiro Zaima, Takahiro Hayasaka, Naoko Goto-Inoue, Mitsutoshi Setou

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

42 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Omics Technologies-Driven Research and Applications of Synthetic Biology.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  5. Article
  6. Review
  7. Review
  8. Review
  9. Article
  10. Review
  11. Review
  12. Review
  13. Review
  14. Article
  15. Article
  16. Lysophosphatidylcholine: Potential Target for the Treatment of Chronic Pain.International journal of molecular sciences · 2022
    Review
  17. Article
  18. Article
  19. Review
  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.

Nobuhiro ZaimaDepartment of Molecular Anatomy, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu, Shizuoka 431-3192, Japan; E-Mails: thaya@hama-med.ac.jp (T.H.); naoko.goto.inoue@gmail.com (N.G.-I.); setou@hama-med.ac.jp (M.S.).
Takahiro Hayasaka
Naoko Goto-Inoue
Mitsutoshi Setou

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) is a powerful tool that enables the simultaneous detection and identification of biomolecules in analytes. MALDI-imaging mass spectrometry (MALDI-IMS) is a two-dimensional MALDI-mass spectrometric technique used to visualize the spatial distribution of biomolecules without extraction, purification, separation, or labeling of biological samples. MALDI-IMS has revealed the characteristic distribution of several biomolecules, including proteins, peptides, amino acids, lipids, carbohydrates, and nucleotides, in various tissues. The versatility of MALDI-IMS has opened a new frontier in several fields such as medicine, agriculture, biology, pharmacology, and pathology. MALDI-IMS has a great potential for discovery of unknown biomarkers. In this review, we describe the methodology and applications of MALDI-IMS for biological samples.

Indexed as

Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionizationbiomarkerimaging mass spectrometrylipidsmatrix-assisted laser desorption/ionization mass spectrometryprotein

Identifiers

PMID21614190
PMCPMC3100838

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.