Jörg Hanrieder
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Recent Grants
Grant: Close
Quantal fluctuations of glutamate in neurotransmission
Open Date: 2021-01-01
Close Date: 2024-12-31
Grant: Close
CASCADE: CAuSe or Consequence in Alzheimer DiseasE?
Open Date: 2020-01-01
Close Date: 2025-12-31
Grant: Close
Probing Amyloid Aggregation Dynamics In Vivo, Using SILK Imaging
Open Date: 2019-01-01
Close Date: 2022-12-31
Grant: Close
Probing Amyloid Plaque Pathology in Alzheime´s Disease using Advanced Imaging Mass Spectrometry
Open Date: 2015-01-01
Close Date: 2018-12-31
Grant: Close
Molecular Snapshots of Neurodegeneration - Nanoscale Imaging Mass Spectrometry of Single Nerve Cells in Parkinsons´s Disease
Open Date: 2011-07-01
Close Date: 2013-06-30
Articles (17)
Year:
2025
Given the complexity of nervous tissues, understanding neurochemical pathophysiology puts high demands on bioanalytical techniques with respect to specificity and sensitivity. Mass spectrometry imaging (MSI) has evolved to become an important, biochemical imaging technology for spatial biology in biological and translational research. The technique facilitates comprehensive, sensitive elucidation of the spatial distribution patterns of drugs, lipids, peptides, and small proteins in situ. Matrix‐assisted laser desorption ionization (MALDI)‐based MSI is the dominating modality due to its broad applicability and fair compromise of selectivity, sensitivity price, throughput, and ease of use. This is particularly relevant for the analysis of spatial lipid patterns, where no other comparable spatial profiling tools are available. Understanding spatial lipid biology in nervous tissue is therefore a key and emerging application area of MSI research. The aim of this review is to give a concise guide through the MSI workflow for lipid imaging in central nervous system (CNS) tissues and essential parameters to consider while developing and optimizing MSI assays. Further, this review provides a broad overview of key developments and applications of MALDI MSI‐based spatial neurolipidomics to map lipid dynamics in neuronal structures, ultimately contributing to a better understanding of neurodegenerative disease pathology.
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2024
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2024
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2024
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2023
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2023
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2023
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2023
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2023
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2023
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2023
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2023
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2022
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2022
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2021
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2021
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2021
Collaborators (10)
Martin Rahm
Professor at Chalmers University of Technology
Chalmers University of Technology
Edward Trybala
University of Gothenburg
Henrik Zetterberg
Professor
University of Gothenburg
Takshashila Tripathi
Lecturer (Teaching)
University College London
Ezequiel Perez-Inestrosa
University of Malaga
Ann-Sofie Cans
Associate Professor
Chalmers University of Technology
Francisco Nájera Albendín
Profesor Titular de Universidad – TU/ Catedrático de Escuela Universitaria - CEU
University of Malaga
Kasper Moth-Poulsen
ICREA Professor
Universitat Politècnica de Catalunya
Junyue Ge
University of Gothenburg
Karl Börjesson
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