Mass spectrometry imaging of free-floating brain sections detects pathological lipid distribution in a mouse model of Alzheimer's-like pathology.


Journal

The Analyst
ISSN: 1364-5528
Titre abrégé: Analyst
Pays: England
ID NLM: 0372652

Informations de publication

Date de publication:
07 Jul 2020
Historique:
pubmed: 22 5 2020
medline: 16 4 2021
entrez: 22 5 2020
Statut: ppublish

Résumé

Mass spectrometry imaging (MSI) is a modern analytical technique capable of monitoring the spatial distribution of compounds within target tissues. Collection and storage are important steps in sample preparation. The recommended and most widely used preservation procedure for MSI is freezing samples in isopentane and storing them at temperatures below -80 °C. On the other hand, the most common and general method for preserving biological samples in clinical practice is fixation in paraformaldehyde. Special types of samples prepared from these fixed tissues that are used for histology and immunohistochemistry are free-floating sections. It would be very beneficial if the latter procedure could also be applicable for the samples intended for subsequent MSI analysis. In the present work, we optimized and evaluated paraformaldehyde-fixed free-floating sections for the analysis of lipids in mouse brains and used the sections for the study of lipid changes in double transgenic APP/PS1 mice, a model of Alzheimer's-like pathology. Moreover, we examined the neuroprotective properties of palm

Identifiants

pubmed: 32436545
doi: 10.1039/d0an00592d
doi:

Substances chimiques

APP protein, human 0
Amyloid beta-Protein Precursor 0
Lipids 0
PSEN1 protein, human 0
Polymers 0
Presenilin-1 0
Prolactin-Releasing Hormone 0
palm11-PrRP31 0
Formaldehyde 1HG84L3525
Liraglutide 839I73S42A
paraform Y19UC83H8E

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

4595-4605

Auteurs

Štěpán Strnad (Š)

Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences, 166 10, Prague, Czech Republic. vladimir.vrkoslav@uochb.cas.cz.

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Classifications MeSH