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Spatial transcriptomics in neuroscience

  • 작성자

    Tae-Kyung Kim
  • 작성일자

    2023-12-21
  • 조회수

    708
Tae-Kyung Kim( tkkim@postech.ac.kr )
2018-Associate Professor (tenured) / Professor, Life Sciences, POSTECH / Adjunct Professor at UT Southwestern Medical Center (UTSW)
2010-2018Assistant Professor / Associate Professor (tenured), UT Southwestern Medical Center (UTSW)
2002-2009Postdoctoral Fellow, Harvard Medical School
2001-2002Postdoctoral Fellow, Rutgers University - Robert Wood Johnson Medical School
1993-2000Ph.D., Rutgers University – Robert Wood Johnson Medical School

Spatial transcriptomics in neuroscience

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.

Exp Mol Med. 2023 Oct;55(10):2105-2115. doi: 10.1038/s12276-023-01093-y.
https://pubmed.ncbi.nlm.nih.gov/37779145/