Evidence map›Paper›PMID 20419488›Full record

ReviewAnalytical and bioanalytical chemistry2010

Mass spectral imaging and profiling of neuropeptides at the organ and cellular domains.

Ruibing Chen, Lingjun Li

Abstract readEvaluation StudyReview
In one paragraph

Review in Analytical and bioanalytical chemistry, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

16 citing papers in PubMed, 29 citations in OpenAlex.

  1. Review
  2. Mass Spectrometry Imaging.Mass spectrometry (Tokyo, Japan) · 2022
    Article
  3. Neuropeptide Localization inFrontiers in molecular neuroscience · 2021
    Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Small-volume analysis of cell-cell signaling molecules in the brain.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2014
    Review
  11. Effective Sample Preparations in Imaging Mass Spectrometry.Mass spectrometry (Tokyo, Japan) · 2014
    Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. 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

2 authors at 1 institution in 2 countries.

Ruibing ChenDepartment of Chemistry & School of Pharmacy, University of Wisconsin-Madison, 777 Highland Avenue, Madison, WI 53705-2222, USA.
Lingjun Li
University of Wisconsin–Madison · US

Funding

Mass Spectrometric Studies of Neuropeptides in FeedingR01DK071801 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI LINGJUN LI · 2006 to 2026
$6.7M
NIDDK NIH HHS 1R01DK071801NIDDK NIH HHS R01 DK071801
6 · The paper itself

Abstract

Matrix-assisted laser desorption/ionization (MALDI) mass spectrometry (MS) is a rapid and sensitive analytical method that is well suited for determining molecular weights of peptides and proteins from complex samples. MALDI-MS can be used to profile the peptides and proteins from single-cell and small tissue samples without the need for extensive sample preparation. Furthermore, the recently developed MALDI imaging technique enables mapping of the spatial distribution of signaling molecules in tissue samples. Several examples of signaling molecule analysis at the single-cell and single-organ levels using MALDI-MS technology are highlighted followed by an outlook of future directions.

Indexed as

Cytological TechniquesAmino Acid SequenceAnimalsCellsHumansImage Processing, Computer-AssistedMolecular Sequence DataNervous SystemNeuropeptidesSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationNeuropeptides

Identifiers

PMID20419488
PMCPMC6314848
OpenAlexW1985327544

What OpenQuestion holds

Textmetadata
LicenceTDM
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.