Multiscale biochemical mapping of the brain through deep-learning-enhanced high-throughput mass spectrometry.

ABSTRACT: Spatial omics technologies can reveal the molecular intricacy of the brain. While mass spectrometry imaging (MSI) provides spatial localization of compounds, comprehensive biochemical profiling at a brain-wide scale in three dimensions by MSI with single-cell resolution has not been achieved. We demonstrate complementary brain-wide and single-cell biochemical mapping using MEISTER, an integrative experimental and computational mass spectrometry (MS) framework. Our framework integrates a deep-learning-based reconstruction that accelerates high-mass-resolving MS by 15-fold, multimodal registration creating three-dimensional (3D) molecular distributions and a data integration method fitting cell-specific mass spectra to 3D datasets. We imaged detailed lipid profiles in tissues with millions o

SUBMITTER: Xie YR 

PROVIDER: S-EPMC10927565 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature