Evidence map›Paper›PMID 34699220›Full record

ArticleJournal of the American Society for Mass Spectrometry2021

Factorial Design to Optimize Matrix Spraying Parameters for MALDI Mass Spectrometry Imaging.

Caitlin Tressler, Sloane Tilley, Ethan Yang, Christopher Donohue, Eric Barton, Alain Creissen, Kristine Glunde

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

19 citing papers in PubMed, 28 citations in OpenAlex.

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  12. Quantitative mass spectrometry imaging: therapeutics & biomolecules.Chemical communications (Cambridge, England) · 2024
    Review
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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

7 authors at 1 institution in 1 country.

Caitlin TresslerThe Russell H. Morgan Department of Radiology and Radiological Science, Division of Cancer Imaging Research, The Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, United States.ORCID https://orcid.org/0000-0001-9152-8123
Sloane TilleyHTX Technologies, LLC, Chapel Hill, North Carolina 27516, United States.
Ethan YangThe Russell H. Morgan Department of Radiology and Radiological Science, Division of Cancer Imaging Research, The Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, United States.
Christopher DonohueThe Russell H. Morgan Department of Radiology and Radiological Science, Division of Cancer Imaging Research, The Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, United States.
Eric BartonThe Russell H. Morgan Department of Radiology and Radiological Science, Division of Cancer Imaging Research, The Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, United States.
Alain CreissenHTX Technologies, LLC, Chapel Hill, North Carolina 27516, United States.
Kristine GlundeThe Russell H. Morgan Department of Radiology and Radiological Science, Division of Cancer Imaging Research, The Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, United States.ORCID https://orcid.org/0000-0002-5067-2724
Johns Hopkins University · US

Funding

Hypoxia-derived molecular MSI signatures to predict breast cancer outcomeR01CA213492 · NCI · JOHNS HOPKINS UNIVERSITY · PI GLUNDE, KRISTINE, HEEREN, RON · 2017 to 2021
$2.1M
Molecular studies of the MR-detectable oncometabolite glycerophosphocholineR01CA213428 · NCI · JOHNS HOPKINS UNIVERSITY · PI GLUNDE, KRISTINE · 2017 to 2021
$1.9M
Reprogramming of creatine metabolism in breast cancer metastasisR01CA264901 · NCI · JOHNS HOPKINS UNIVERSITY · PI Kristine Glunde · 2022 to 2026
$1.8M
NCI NIH HHS R01 CA213428NCI NIH HHS R01 CA213492NCI NIH HHS R01 CA264901
6 · The paper itself

Abstract

Matrix deposition is a critical step in obtaining reproducible and spatially representative matrix-assisted laser desorption/ionization (MALDI) mass spectrometry imaging data. To date, few limited studies have examined the optimization of matrix spraying parameters for maximizing analyte extraction while minimizing analyte delocalization. Herein, we present a study using automated pneumatic spraying with a heated sample-holder tray to determine an optimized model for mouse whole kidney lipid imaging using a 2,5-dihydroxybenzoic acid matrix in which the solvent flow rate, nozzle velocity, and sample heating were optimized using a two-level factorial experimental design. Parameters examined to determine the optimum model include the number of analytes, the matrix crystal size, off tissue delocalization, the signal intensity, and spray time. Our results show that sample heating using a heated tray while spraying improves the MALDI imaging performance. This improvement is possible because higher solvent flow rates can be used in the pneumatic sprayer, allowing for better sample extraction, while sample delocalization is minimized due to sample heating.

Indexed as

design of experimentkidneylipidMALDI imagingmass spectrometrysample preparation

Identifiers

PMID34699220
PMCPMC9867919
OpenAlexW3209897126

What Socratic 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 Socratic graph.