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Author Spotlight: Integrating Organoid Models with Single-Cell and Spatial Transcriptomics Technologies
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Application of spatial transcriptome technologies to neurological diseases.

Dongshan Ya1,2, Yingmei Zhang1,2, Qi Cui1,2

  • 1Laboratory of Neuroscience, Affiliated Hospital of Guilin Medical University, Guilin Medical University, Guilin, China.

Frontiers in Cell and Developmental Biology
|March 20, 2023
PubMed
Summary

Spatial transcriptome technology maps gene expression within tissues, aiding neurological disease research. This review covers key methods and their applications for understanding brain disorders and identifying therapeutic targets.

Keywords:
epilepsyneurodegenerative diseaseneuropsychiatric illnessspatial transcriptomestroke

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Area of Science:

  • Neuroscience and Genomics
  • Molecular Biology
  • Biotechnology

Background:

  • Spatial transcriptome technology provides in situ gene expression profiles, crucial for understanding cellular functions within their microenvironments.
  • Investigating cell heterogeneity, microenvironment, function, and interactions is key to exploring neurological disease mechanisms.
  • Current research highlights the need for advanced techniques to analyze cell-type-specific responses and spatial localization in the brain.

Purpose of the Study:

  • To provide a comprehensive overview of various spatial transcriptome technologies.
  • To detail the methods, throughput, resolution, advantages, and limitations of each technology.
  • To outline the applications of these technologies in understanding and treating neurological diseases.

Main Methods:

  • Review of spatial transcriptome technologies including microdissection, in situ hybridization, in situ sequencing, in situ capture, and live cell labeling.
  • Analysis of the technical specifications such as detection throughput and spatial resolution for each method.
  • Examination of the benefits and drawbacks associated with different spatial transcriptome approaches.

Main Results:

  • Detailed descriptions of five major spatial transcriptome technologies are presented.
  • Each technology's suitability for different research questions in neuroscience is discussed.
  • The review highlights the comparative strengths and weaknesses of the discussed methods.

Conclusions:

  • Spatial transcriptome technologies offer powerful tools for dissecting complex neurological diseases at a cellular and spatial level.
  • Understanding these technologies is vital for advancing research in neurodegenerative diseases, neuropsychiatric disorders, stroke, and epilepsy.
  • These techniques can significantly aid in identifying disease mechanisms, therapeutic targets, and diagnostic biomarkers.