Proteomics

Dataset Information

1

Analysis of Amyloid Plaque Composition in two mouse models of Alzheimer’s disease


ABSTRACT: MALDI mass spectrometry imaging (MSI) enables label-free, spatially resolved analysis of a wide range of analytes in tissue sections. Quantitative analysis of MSI datasets is typically performed on single pixels or manually assigned regions of interest (ROI). However, many sparse, small objects such as Alzheimer’s disease (AD) brain deposits of amyloid peptides called plaques are neither single pixels nor ROI. Here, we propose a new approach to facilitate comparative computational evaluation of amyloid plaque-like objects by MSI: a fast PLAQUE PICKER tool that enables statistical evaluation of heterogeneous amyloid peptide composition. Comparing two AD mouse models, APP NL-G-F and APP PS1, we identified distinct heterogeneous plaque populations in the NL-G-F model, but only one class of plaques in the PS1 model. We propose quantitative metrics for the comparison of technical and biological MSI replicates.

INSTRUMENT(S): Bruker Daltonics flex series

ORGANISM(S): Mus musculus  

TISSUE(S): Brain

DISEASE(S): Alzheimer's Disease

SUBMITTER: Thomas Enzlein  

LAB HEAD: Carsten Hopf

PROVIDER: PXD020824 | Pride | 2020-10-15

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
APP NL-G-F_18weeks_LP2-10kDa_20um.ibd Other
APP NL-G-F_18weeks_LP2-10kDa_20um.imzML Other
APP NL-G-F_18weeks_optical image.png Other
APP NL-G-F_67weeks_LP2-10kDa_20um.ibd Other
APP NL-G-F_67weeks_LP2-10kDa_20um.imzML Other
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Publications

Computational Analysis of Alzheimer Amyloid Plaque Composition in 2D- and Elastically Reconstructed 3D-MALDI MS Images.

Enzlein Thomas T   Cordes Jonas J   Munteanu Bogdan B   Michno Wojciech W   Serneels Lutgarde L   De Strooper Bart B   Hanrieder Jörg J   Wolf Ivo I   Chávez-Gutiérrez Lucía L   Hopf Carsten C  

Analytical chemistry 20201014 21


MALDI mass spectrometry imaging (MSI) enables label-free, spatially resolved analysis of a wide range of analytes in tissue sections. Quantitative analysis of MSI datasets is typically performed on single pixels or manually assigned regions of interest (ROIs). However, many sparse, small objects such as Alzheimer's disease (AD) brain deposits of amyloid peptides called plaques are neither single pixels nor ROIs. Here, we propose a new approach to facilitate the comparative computational evaluati  ...[more]

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