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Updated: Jul 14, 2025

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
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Spatial transcriptomics in development and disease.

Ran Zhou1, Gaoxia Yang1,2, Yan Zhang3

  • 1Department of Neurosurgery, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, 610041, China.

Molecular Biomedicine
|October 8, 2023
PubMed
Summary
This summary is machine-generated.

Spatial transcriptomics (ST) maps gene expression within tissues, revealing cellular organization and interactions. This technology offers new insights into biological complexity, development, and diseases.

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Area of Science:

  • Molecular Biology
  • Genomics
  • Systems Biology

Background:

  • Cellular spatial organization is crucial for biological functions.
  • Traditional sequencing methods lack spatial resolution.
  • Spatially resolved technologies are essential for understanding tissue architecture and cell interactions.

Purpose of the Study:

  • To review advancements in spatial transcriptomics (ST).
  • To compare ST methods and bioinformatics tools.
  • To highlight ST applications in development and disease.

Main Methods:

  • Spatial transcriptomics (ST) enables gene expression mapping with spatial context.
  • Integration of ST with other omics data provides a holistic biological view.
  • Emerging ST technologies offer higher throughput and resolution.

Main Results:

  • ST reveals cellular heterogeneity, spatial domains, and cell-cell interactions.
  • ST applications are expanding in developmental biology and disease research.
  • New ST methods provide deeper insights into biological complexity.

Conclusions:

  • ST is a powerful tool for understanding biological systems at a spatial level.
  • Continued development of ST methods and bioinformatics tools is crucial.
  • ST holds significant potential for future biomedical research and discovery.