Evidence map›Paper›PMID 28190025›Full record

ArticleJournal of visualized experiments : JoVE2017

Imaging Metals in Brain Tissue by Laser Ablation - Inductively Coupled Plasma - Mass Spectrometry (LA-ICP-MS).

Dominic J Hare, Kai Kysenius, Bence Paul, Beate Knauer, Robert W Hutchinson, Ciaran O'Connor, Fred Fryer, Tom P Hennessey, Ashley I Bush, Peter J Crouch and 1 more

Open access · hybridAbstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

17 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. The use of LA-ICP-MS as an auxiliary tool to assess the pulmonary toxicity of molybdenum(IV) sulfide (MoSInternational journal of occupational medicine and environmental health · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Copper signalling: causes and consequences.Cell communication and signaling : CCS · 2018
    Review
  16. Article
  17. CuFrontiers in neuroscience · 2018
    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

11 authors at 5 institutions in 2 countries.

Dominic J HareElemental Bio-imaging Facility, University of Technology Sydney; Florey Institute of Neuroscience and Mental Health, The University of Melbourne; dominic.hare@uts.edu.au.
Kai KyseniusDepartment of Pathology, The University of Melbourne.
Bence PaulSchool of Earth Sciences, The University of Melbourne.
Beate KnauerResearch School, Ruhr University; Department of Physiology, Monash University.
Robert W HutchinsonESI Ltd., Bozeman.
Ciaran O'ConnorESI Ltd., Bozeman.
Fred FryerAgilent Technologies, Mulgrave.
Tom P HennesseyAgilent Technologies, Mulgrave.
Ashley I BushFlorey Institute of Neuroscience and Mental Health, The University of Melbourne.
Peter J CrouchDepartment of Pathology, The University of Melbourne.
Philip A DobleElemental Bio-imaging Facility, University of Technology Sydney.
University of Melbourne · AUAgilent Technologies (Australia) · AUFlorey Institute of Neuroscience and Mental Health · AURuhr University Bochum · DEUniversity of Technology Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metals are found ubiquitously throughout an organism, with their biological role dictated by both their chemical reactivity and abundance within a specific anatomical region. Within the brain, metals have a highly compartmentalized distribution, depending on the primary function they play within the central nervous system. Imaging the spatial distribution of metals has provided unique insight into the biochemical architecture of the brain, allowing direct correlation between neuroanatomical regions and their known function with regard to metal-dependent processes. In addition, several age-related neurological disorders feature disrupted metal homeostasis, which is often confined to small regions of the brain that are otherwise difficult to analyze. Here, we describe a comprehensive method for quantitatively imaging metals in the mouse brain, using laser ablation - inductively coupled plasma - mass spectrometry (LA-ICP-MS) and specially designed image processing software. Focusing on iron, copper and zinc, which are three of the most abundant and disease-relevant metals within the brain, we describe the essential steps in sample preparation, analysis, quantitative measurements and image processing to produce maps of metal distribution within the low micrometer resolution range. This technique, applicable to any cut tissue section, is capable of demonstrating the highly variable distribution of metals within an organ or system, and can be used to identify changes in metal homeostasis and absolute levels within fine anatomical structures.

Indexed as

AnimalsBrainLaser TherapyMass SpectrometryMetalsMiceMolecular ImagingMetals

Identifiers

PMID28190025
PMCPMC5352277
OpenAlexW2581227631

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.