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Updated: Jul 27, 2025

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
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Spatial transcriptomics: new dimension of understanding biological complexity.

Zhuxia Li1,2, Guangdun Peng1,3,4

  • 1Ceter for Cell Lineage and Development, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China.

Biophysics Reports
|June 8, 2023
PubMed
Summary
This summary is machine-generated.

Spatial transcriptomics reveals gene expression within tissues, overcoming limitations of previous sequencing methods. This technology enables a deeper understanding of cellular organization and biological processes.

Keywords:
HistologySingle-cell sequencingSpatial data analysisSpatial multi-omicsSpatial transcriptomics

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Area of Science:

  • Molecular Biology
  • Genomics
  • Systems Biology

Background:

  • Cellular and tissue organization is fundamental to organismal function and biological processes.
  • Traditional sequencing methods like bulk RNA sequencing and single-cell RNA sequencing lack spatial information.
  • Understanding spatial cellular changes is crucial for large-scale biological event exploration.

Purpose of the Study:

  • To review the evolution and methods of spatially resolved transcriptomics.
  • To summarize computational analysis pipelines for spatial gene expression data.
  • To propose future directions for spatial multi-omics technologies.

Main Methods:

  • Survey of representative spatially resolved transcriptomic technologies.
  • Discussion of historical development of spatially resolved transcriptome.
  • Summary of computational analysis pipelines for spatial gene expression data.

Main Results:

  • Spatially resolved technologies provide crucial spatial information previously unavailable.
  • Rapid advancements in high-throughput and high-resolution spatial transcriptomic methods.
  • Increased research utilizing spatial transcriptomics for biological discoveries.

Conclusions:

  • Spatial transcriptomics offers a new dimension for interrogating gene expression, microenvironments, and cell interactions.
  • Continued technological development in spatial multi-omics promises accelerated biological discoveries.
  • This field is rapidly expanding, driving new insights into biological complexity.