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Cell
Article . 2021 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Cell
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EASI-FISH for thick tissue defines lateral hypothalamus spatio-molecular organization

Authors: Yuhan Wang; Mark Eddison; Greg Fleishman; Martin Weigert; Shengjin Xu; Tim Wang; Konrad Rokicki; +11 Authors

EASI-FISH for thick tissue defines lateral hypothalamus spatio-molecular organization

Abstract

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.

Keywords

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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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
143
Top 1%
Top 10%
Top 1%
hybrid