Evidence map›Paper›PMID 29364257›Full record

ArticleJournal of visualized experiments : JoVE2018

Optimal Preparation of Formalin Fixed Samples for Peptide Based Matrix Assisted Laser Desorption/Ionization Mass Spectrometry Imaging Workflows.

Matthew B O'Rourke, Matthew P Padula, Caine Smith, Priscilla Youssef, Stuart Cordwell, Paul Witting, Greg Sutherland, Ben Crossett

Abstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

8 authors.

Matthew B O'RourkeMass Spectrometry Core Facility, University of Sydney; Proteomics Core Facility, University of Technology Sydney; matthew.orourke@sydney.edu.au.
Matthew P PadulaProteomics Core Facility, University of Technology Sydney.
Caine SmithNeuropathology Group, Discipline of Pathology, School of Medical Sciences, University of Sydney.
Priscilla YoussefRedox Biology Group, Discipline of Pathology, School of Medical Sciences, University of Sydney.
Stuart CordwellMass Spectrometry Core Facility, University of Sydney.
Paul WittingRedox Biology Group, Discipline of Pathology, School of Medical Sciences, University of Sydney.
Greg SutherlandNeuropathology Group, Discipline of Pathology, School of Medical Sciences, University of Sydney.
Ben CrossettMass Spectrometry Core Facility, University of Sydney.

Funding

Brain Tissue Resource Centre for Alcohol ResearchR28AA012725 · NIAAA · UNIVERSITY OF SYDNEY · PI Greg Trevor Sutherland · 2012 to 2026
$7.0M
NIAAA NIH HHS R28 AA012725
6 · The paper itself

Abstract

The use of matrix-assisted laser desorption/ionization, mass spectrometry imaging (MALDI MSI) has rapidly expanded, since this technique analyzes a host of biomolecules from drugs and lipids to N-glycans. Although various sample preparation techniques exist, detecting peptides from formaldehyde preserved tissues remains one of the most difficult challenges for this type of mass spectrometric analysis. For this reason, we have created and optimized a robust methodology that preserves the spatial information contained within the sample, while eliciting the greatest number of ionizable peptides. We have also aimed to achieve this in a cost effective and simple way, thereby eliminating potential bias or preparation error, which can occur when using automated instrumentation. The end result is a reproducible and inexpensive protocol.

Indexed as

BrainBrain ChemistryFormaldehydeHumansParaffin EmbeddingPeptidesSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationTissue FixationFormaldehydePeptides

Identifiers

PMID29364257
PMCPMC5908653

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.