Connecting imaging mass spectrometry and magnetic resonance imaging-based anatomical atlases for automated anatomical interpretation and differential analysis
| Autor: | Ariel Y. Deutch, Hui-Dong Wang, Raf Van de Plas, Richard M. Caprioli, Nico Verbeeck, Monika J. M. Murphy, Jeffrey M. Spraggins |
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| Rok vydání: | 2017 |
| Předmět: |
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0301 basic medicine MALDI imaging Computer science Anatomical structures Biophysics Bioinformatics Biochemistry Mass Spectrometry Differential analysis Mass spectrometry imaging Analytical Chemistry Rats Sprague-Dawley Mice 03 medical and health sciences Imaging Three-Dimensional Image Processing Computer-Assisted medicine Animals Molecular Biology Ions medicine.diagnostic_test business.industry Brain atlas Brain Parkinson Disease Pattern recognition Magnetic resonance imaging Rat brain Magnetic Resonance Imaging Rats 030104 developmental biology Artificial intelligence Molecular imaging business |
| Zdroj: | Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1865:967-977 |
| ISSN: | 1570-9639 |
| Popis: | Imaging mass spectrometry (IMS) is a molecular imaging technology that can measure thousands of biomolecules concurrently without prior tagging, making it particularly suitable for exploratory research. However, the data size and dimensionality often makes thorough extraction of relevant information impractical. To help guide and accelerate IMS data analysis, we recently developed a framework that integrates IMS measurements with anatomical atlases, opening up opportunities for anatomy-driven exploration of IMS data. One example is the automated anatomical interpretation of ion images, where empirically measured ion distributions are automatically decomposed into their underlying anatomical structures. While offering significant potential, IMS-atlas integration has thus far been restricted to the Allen Mouse Brain Atlas (AMBA) and mouse brain samples. Here, we expand the applicability of this framework by extending towards new animal species and a new set of anatomical atlases retrieved from the Scalable Brain Atlas (SBA). Furthermore, as many SBA atlases are based on magnetic resonance imaging (MRI) data, a new registration pipeline was developed that enables direct non-rigid IMS-to-MRI registration. These developments are demonstrated on protein-focused FTICR IMS measurements from coronal brain sections of a Parkinson's disease (PD) rat model. The measurements are integrated with an MRI-based rat brain atlas from the SBA. The new rat-focused IMS-atlas integration is used to perform automated anatomical interpretation and to find differential ions between healthy and diseased tissue. IMS-atlas integration can serve as an important accelerator in IMS data exploration, and with these new developments it can now be applied to a wider variety of animal species and modalities. This article is part of a Special Issue entitled: MALDI Imaging, edited by Dr. Corinna Henkel and Prof. Peter Hoffmann. |
| Databáze: | OpenAIRE |
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