Feasibility Assessment of a MALDI FTICR Imaging Approach for the 3D Reconstruction of a Mouse Lung.

Abstract

Matrix assisted laser desorption ionization imaging mass spectrometry (MALDI IMS) has proven to be a quick, robust, and label-free tool to produce two-dimensional (2D) ion-density maps representing the distribution of a variety of analytes across a tissue section of interest. In addition, three-dimensional (3D) imaging mass spectrometry workflows have been developed that are capable of visualizing these same analytes throughout an entire volume of a tissue rather than a single cross-section. Until recently, the use of Fourier transform ion cyclotron resonance (FTICR) mass spectrometers for 3D volume reconstruction has been impractical due to software limitations, such as inadequate capacity to manipulate the extremely large data files produced during an imaging experiment. Fortunately with recent software and hardware advancements, 3D reconstruction from MALDI FTICR IMS datasets is now feasible. Here we describe the first proof of principle study for a 3D volume reconstruction of an entire mouse lung using data collected on a FTICR mass spectrometer. Each lung tissue section was analyzed with high mass resolution and mass accuracy, and considered as an independent dataset. Each subsequent lung section image, or lung dataset, was then co-registered to its adjacent section to reconstruct a 3D volume. Volumes representing various endogenous lipid species were constructed, including sphingolipids and phosphatidylcholines (PC), and species confirmation was performed with on-tissue collision induced dissociation (CID). Graphical Abstract ᅟ.