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Related Concept Videos

Ribosome Profiling02:24

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Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
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Updated: Aug 11, 2025

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
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Spatially resolved transcriptomics: advances and applications.

Honglin Duan1, Tao Cheng1,2,3, Hui Cheng1,2,3

  • 1State Key Laboratory of Experimental Hematology, Haihe Laboratory of Cell Ecosystem, National Clinical Research Center for Blood Diseases, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China.

Blood Science (Baltimore, Md.)
|February 6, 2023
PubMed
Summary
This summary is machine-generated.

Spatial transcriptomics (ST) reveals gene activity and location in tissues, advancing biological and disease research. New high-throughput technologies offer improved resolution and multiplexing for diverse applications.

Keywords:
In situ hybridizationIn situ sequencingSpatially resolved multi-omicsSpatially resolved transcriptomics

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Area of Science:

  • Molecular Biology
  • Genomics
  • Biotechnology

Background:

  • Spatial transcriptomics (ST) integrates gene expression with spatial information within tissues.
  • Rapid technological advancements have enhanced ST capabilities, leading to high-resolution, high-throughput, and multiplexed analyses.
  • ST is crucial for understanding complex biological processes and disease mechanisms at a cellular level.

Purpose of the Study:

  • To provide a comprehensive summary and comparison of major spatial transcriptomics methods.
  • To highlight key applications of ST across various scientific domains.
  • To discuss future directions and potential clinical impact of ST technologies.

Main Methods:

  • Review and comparison of imaging-based, sequencing-based, and in situ sequencing methods for spatial transcriptomics.
  • Analysis of technological advancements driving multiplexing, resolution, and throughput.
  • Exploration of diverse applications in neuroscience, cancer, developmental, and hematology research.

Main Results:

  • Categorization of current major spatial transcriptomics technologies.
  • Demonstration of ST's utility in fields such as neuroscience and cancer biology.
  • Identification of emerging trends and challenges in the field.

Conclusions:

  • Spatial transcriptomics is a rapidly evolving field with significant potential for biological discovery.
  • Future developments are expected to enhance resolution, throughput, and multi-omic integration.
  • ST holds promise for advancing both fundamental research and clinical diagnostics, particularly in areas like adult bone marrow analysis.