Author
Listed:
- Lars Gruber
(Technische Hochschule Mannheim
Heidelberg University)
- Stefan Schmidt
(Technische Hochschule Mannheim)
- Thomas Enzlein
(Technische Hochschule Mannheim)
- Huong Giang Vo
(Mainz University)
- Tobias Bausbacher
(Technische Hochschule Mannheim
Heidelberg University)
- James Lucas Cairns
(Technische Hochschule Mannheim
Heidelberg University)
- Yasemin Ucal
(Technische Hochschule Mannheim)
- Florian Keller
(Technische Hochschule Mannheim)
- Martina Kerndl
(Medical University of Vienna
Christian Doppler Laboratory for Arginine Metabolism in Rheumatoid Arthritis and Multiple)
- Denis Abu Sammour
(Technische Hochschule Mannheim)
- Omar Sharif
(Medical University of Vienna
Christian Doppler Laboratory for Immunometabolism and Systems Biology of Obesity-Related Diseases (InSpiReD))
- Gernot Schabbauer
(Medical University of Vienna
Christian Doppler Laboratory for Arginine Metabolism in Rheumatoid Arthritis and Multiple)
- Rüdiger Rudolf
(Technische Hochschule Mannheim
Heidelberg University)
- Matthias Eckhardt
(University of Bonn)
- Stefania Alexandra Iakab
(Technische Hochschule Mannheim)
- Laura Bindila
(Mainz University)
- Carsten Hopf
(Technische Hochschule Mannheim
Heidelberg University
Heidelberg University)
Abstract
In spatial’omics, highly confident molecular identifications are indispensable for the investigation of complex biology and for spatial biomarker discovery. However, current mass spectrometry imaging (MSI)-based spatial ‘omics must compromise between data acquisition speed and biochemical profiling depth. Here, we introduce fast, label-free quantum cascade laser mid-infrared imaging microscopy (QCL-MIR imaging) to guide MSI to high-interest tissue regions as small as kidney glomeruli, cultured multicellular spheroid cores or single motor neurons. Focusing on smaller tissue areas enables extensive spatial lipid identifications by on-tissue tandem-MS employing imaging parallel reaction monitoring-Parallel Accumulation-Serial Fragmentation (iprm-PASEF). QCL-MIR imaging-guided MSI allowed for unequivocal on-tissue elucidation of 157 sulfatides selectively accumulating in kidneys of arylsulfatase A-deficient mice used as ground truth concept and provided chemical rationales for improvements to ion mobility prediction algorithms. Using this workflow, we characterized sclerotic spinal cord lesions in mice with experimental autoimmune encephalomyelitis (EAE), a model of multiple sclerosis, and identified upregulation of inflammation-related ceramide-1-phosphate and ceramide phosphatidylethanolamine as markers of white matter lipid remodeling. Taken together, widely applicable and fast QCL-MIR imaging-based guidance of MSI ensures that more time is available for exploration and validation of new biology by default on-tissue tandem-MS analysis.
Suggested Citation
Lars Gruber & Stefan Schmidt & Thomas Enzlein & Huong Giang Vo & Tobias Bausbacher & James Lucas Cairns & Yasemin Ucal & Florian Keller & Martina Kerndl & Denis Abu Sammour & Omar Sharif & Gernot Scha, 2025.
"Deep MALDI-MS spatial omics guided by quantum cascade laser mid-infrared imaging microscopy,"
Nature Communications, Nature, vol. 16(1), pages 1-15, December.
Handle:
RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-59839-3
DOI: 10.1038/s41467-025-59839-3
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