
pmid: 34875226
Determining the spatial organization and morphological characteristics of molecularly defined cell types is a major bottleneck for characterizing the architecture underpinning brain function. We developed Expansion-Assisted Iterative Fluorescence In Situ Hybridization (EASI-FISH) to survey gene expression in brain tissue, as well as a turnkey computational pipeline to rapidly process large EASI-FISH image datasets. EASI-FISH was optimized for thick brain sections (300 μm) to facilitate reconstruction of spatio-molecular domains that generalize across brains. Using the EASI-FISH pipeline, we investigated the spatial distribution of dozens of molecularly defined cell types in the lateral hypothalamic area (LHA), a brain region with poorly defined anatomical organization. Mapping cell types in the LHA revealed nine spatially and molecularly defined subregions. EASI-FISH also facilitates iterative reanalysis of scRNA-seq datasets to determine marker-genes that further dissociated spatial and morphological heterogeneity. The EASI-FISH pipeline democratizes mapping molecularly defined cell types, enabling discoveries about brain organization.
Male, Neurons, Transcription, Genetic, Gene Expression Profiling, Neuropeptides, Mice, Inbred C57BL, Mice, Imaging, Three-Dimensional, Gene Expression Regulation, Hypothalamic Area, Lateral, Animals, RNA, RNA-Seq, Single-Cell Analysis, Proto-Oncogene Proteins c-fos, Biomarkers, In Situ Hybridization, Fluorescence
Male, Neurons, Transcription, Genetic, Gene Expression Profiling, Neuropeptides, Mice, Inbred C57BL, Mice, Imaging, Three-Dimensional, Gene Expression Regulation, Hypothalamic Area, Lateral, Animals, RNA, RNA-Seq, Single-Cell Analysis, Proto-Oncogene Proteins c-fos, Biomarkers, In Situ Hybridization, Fluorescence
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