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Mapping Molecular Complexity with Spatially-Resolved Proteomics
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Discuss how spatial enables precise mapping of molecular complexity in the brain, revealing region-specific protein expression patterns relevant to neurodegeneration.
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Highlight comparative neuropathology across human and mouse models to understand mechanisms driving regional vulnerability in Parkinson’s disease and to validate new MRI-based biomarkers.
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Present how integrating spatial with other omics with newly generated Parkinson’s models supports deeper insight into disease mechanisms and strengthens translational pathways toward improved diagnostics and therapies.
