Improving the Signal Intensity of Cryosections Using a Conductive Adhesive Film in Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry Imaging.
conductive adhesive film
mass spectrometry imaging
matrix-assisted laser desorption/ionization
phospholipids
Journal
Mass spectrometry (Tokyo, Japan)
ISSN: 2187-137X
Titre abrégé: Mass Spectrom (Tokyo)
Pays: Japan
ID NLM: 101603453
Informations de publication
Date de publication:
2023
2023
Historique:
received:
31
07
2023
accepted:
27
10
2023
medline:
18
12
2023
pubmed:
18
12
2023
entrez:
18
12
2023
Statut:
ppublish
Résumé
The matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) technique was used to obtain the molecular images of cryosections without labeling. Although MALDI-MSI has been widely used to detect small molecules from biological tissues, issues remain due to the technical process of cryosectioning and limited mass spectrometry parameters. The use of a conductive adhesive film is a unique method to obtain high-quality sections from cutting tissue, such as bone, muscle, adipose tissue, and whole body of mice or fish, and we have reported the utilization of the film for MALDI-MSI in previous. However, some signal of the small molecules using the conductive adhesive films was still lower than on the indium tin oxide (ITO) glass slide. Here, the sample preparation and analytical conditions for MALDI-MSI using an advanced conductive adhesive film were optimized to obtain strong signals from whole mice heads. The effects of tissue thickness and laser ionization power on signal intensity were verified using MALDI-MSI. The phospholipid signal intensity was measured for samples with three tissue thicknesses (5, 10, and 20 μm); compared to the signals from the samples on the ITO glass slides, the signals with conductive adhesive films exhibited significantly higher intensities when a laser with a higher range of power was used to ionize the small molecules. Thus, the technique using the advanced conductive adhesive film showed an improvement in MALDI-MSI analysis.
Identifiants
pubmed: 38107656
doi: 10.5702/massspectrometry.A0137
pmc: PMC10721960
doi:
Types de publication
Journal Article
Langues
eng
Pagination
A0137Informations de copyright
Copyright © 2023 Daisuke Saigusa, Ritsumi Saito, Komei Kawamoto, Akira Uruno, Kuniyuki Kano, Shuichi Shimma, Junken Aoki, Masayuki Yamamoto, and Tadafumi Kawamoto.
Déclaration de conflit d'intérêts
The authors declare no conflicts of interest.