Validating MALDI-IMS Feasibility in Ex Vivo Brain Slices.
Nikita Ollen-BittleChloe A LowryKatherine E DonovanR David AndrewShawn Narain WhiteheadPublished in: Journal of the American Society for Mass Spectrometry (2023)
Matrix-assisted laser desorption ionization imaging mass spectrometry (MALDI-IMS) generates unique mass spectra in X / Y coordinates across a tissue sample, thus allowing for the spatial detection and relative quantification of biologic compounds in situ . The soft ionization of MALDI-IMS makes it an ideal technique for high-resolution imaging of complex lipid species. Lipid-based spatial chemical maps derived from MALDI-IMS provide critical insight into the unique molecular profiles of a variety of neurologic diseases. Ex vivo brain slice preparations are a prominent alternative to in vivo animal models for studying many different neurologic conditions. For the first time, we present a feasible protocol for achieving reproducible lipidomic MALDI-IMS data from ex vivo rat brain slices and provide evidence that ex vivo brain slices maintain spatiochemical lipidomic profiles representative of an intact whole brain. We conducted a methods comparison assessing the lipid profiles within the neocortex, striatum, and corpus callosum between coronal sections taken from ex vivo brain slices and the current gold standard tissue preparation method, fresh frozen whole brains. For the first time we demonstrate a technique by which 400 μm ex vivo brain slices can be extracted from an imaging chamber and prepared for MALDI-IMS in a way that preserves their lipidomic integrity. We demonstrate the feasibility of MALDI-IMS in ex vivo brain slices and provide a roadmap for MALDI-IMS utilization in uncharted neuroscience fields.
Keyphrases
- mass spectrometry
- high resolution
- white matter
- resting state
- liquid chromatography
- gas chromatography
- high performance liquid chromatography
- capillary electrophoresis
- rheumatoid arthritis
- cerebral ischemia
- randomized controlled trial
- computed tomography
- magnetic resonance imaging
- fatty acid
- multiple sclerosis
- machine learning
- cross sectional
- photodynamic therapy
- electronic health record
- blood brain barrier
- big data
- quantum dots
- contrast enhanced
- density functional theory
- genetic diversity
- deep learning