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Updated: Jun 26, 2025

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

Sanjay Jain1, Michael T Eadon2

  • 1Division of Nephrology, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA. sanjayjain@wustl.edu.

Nature Reviews. Nephrology
|May 8, 2024
PubMed
Summary
This summary is machine-generated.

Spatial transcriptomics maps gene activity in tissues, revealing cell types and interactions. This technology enhances understanding of organ function and disease, driving discoveries in fields like nephrology.

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Area of Science:

  • Molecular Biology
  • Genomics
  • Systems Biology

Background:

  • Understanding cellular and spatial organization of organs requires localizing macromolecules.
  • Spatially resolved transcriptomic technologies map transcripts at single-cell resolution.
  • These technologies accelerate discovery in fields like nephrology.

Purpose of the Study:

  • To review current and emerging spatial transcriptomic methods.
  • To discuss applications of spatial transcriptomics in biological research.
  • To identify challenges and future directions in the field.

Main Methods:

  • Spatially resolved transcriptomic technologies.
  • Single-cell or near single-cell resolution transcript mapping.
  • Multiplex analysis of transcripts within tissue context.

Main Results:

  • Spatial transcriptomics provides information on new cell types.
  • It offers insights into cell-cell interactions within tissue neighborhoods.
  • It improves understanding of molecular changes in response to injury.

Conclusions:

  • Integration with other omics (proteomics, epigenetics) will create comprehensive molecular atlases.
  • Spatial transcriptomics provides insights into molecular dynamics in homeostasis and disease.
  • Continued technological development is crucial for advancing biological understanding.