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Spatial transcriptomics in neuroscience
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DOI：10.1038/s12276-023-01093-y.png)
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Abstract
En 中文
The brain is one of the most complex living tissue types and is composed of an exceptional diversity of cell types displaying unique functional connectivity. Single-cell RNA sequencing (scRNA-seq) can be used to efficiently map the molecular identities of the various cell types in the brain by providing the transcriptomic profiles of individual cells isolated from the tissue. However, the lack of spatial context in scRNA-seq prevents a comprehensive understanding of how different configurations of cell types give rise to specific functions in individual brain regions and how each distinct cell is connected to form a functional unit. To understand how the various cell types contribute to specific brain functions, it is crucial to correlate the identities of individual cells obtained through scRNA-seq with their spatial information in intact tissue. Spatial transcriptomics (ST) can resolve the complex spatial organization of cell types in the brain and their connectivity. Various ST tools developed during the past decade based on imaging and sequencing technology have permitted the creation of functional atlases of the brain and have pulled the properties of neural circuits into ever-sharper focus. In this review, we present a summary of several ST tools and their applications in neuroscience and discuss the unprecedented insights these tools have made possible. Spatial transcriptomics technologies are revolutionizing our understanding of the brain's complex cellular architecture and function. A recent review highlights the advances in imaging-based and sequencing-based methods that enable researchers to study gene expression at single-cell resolution within intact tissues. These tools have been applied to various areas of neuroscience, including mapping cell types in different brain regions, studying neural circuits, and investigating molecular and cellular responses to external stimuli. The integration of spatial transcriptomics with other cutting-edge techniques promises to provide unprecedented insights into the mechanisms underlying brain function and dysfunction, ultimately paving the way for new therapeutic strategies for neurological disorders.
Keywords:
GENOME-WIDE EXPRESSION
IN-SITU
SINGLE CELLS
TISSUE
ORGANIZATION
VISUALIZATION
HYBRIDS
CORTEX
ATLAS
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