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Related Concept Videos

RNA-seq03:21

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Related Experiment Video

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An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing
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Sequencing-free whole-genome spatial transcriptomics at single-molecule resolution.

Yubao Cheng1, Shengyuan Dang1, Yuan Zhang1

  • 1Department of Genetics, Yale University School of Medicine, New Haven, CT 06510, USA.

Cell
|October 2, 2025
PubMed
Summary

Researchers developed RAEFISH, a novel spatial transcriptomics method providing whole-genome coverage and single-molecule resolution. This technology enables high-resolution mapping of gene expression in intact tissues, advancing cellular and tissue analysis.

Keywords:
high content CRISPR screenhighly multiplexed RNA imagingspatial transcriptomics

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Area of Science:

  • Molecular Biology
  • Genomics
  • Biotechnology

Background:

  • Spatial transcriptomics advances cellular and tissue understanding.
  • Current methods face limitations in transcriptomic coverage and spatial resolution.
  • Unbiased, high-resolution transcriptomic analysis remains a challenge.

Purpose of the Study:

  • To develop a novel spatial transcriptomics method with enhanced coverage and resolution.
  • To enable unbiased, hypothesis-free transcriptomic analyses in intact tissues.
  • To profile gene expression at single-molecule resolution across the whole genome.

Main Methods:

  • Developed reverse-padlock amplicon-encoding fluorescence in situ hybridization (RAEFISH).
  • RAEFISH is an image-based spatial transcriptomics technique.
  • Applied RAEFISH to intact human and mouse tissues for transcript profiling.

Main Results:

  • Achieved whole-genome coverage and single-molecule resolution in situ.
  • Demonstrated spatial profiling of ~23,000 human or ~22,000 mouse genes.
  • Revealed transcript localization, cell-type-specific transcriptomes, and gene programs for cell interactions.
  • Adapted RAEFISH for spatial readout of guide RNAs in CRISPR screens.

Conclusions:

  • RAEFISH offers a broadly applicable technology for high-coverage, high-resolution spatial RNA profiling.
  • Enables detailed analysis of native and engineered RNAs in diverse biomedical contexts.
  • Facilitates advancements in understanding cellular function, organization, and interactions.