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Related Concept Videos

RNA-seq03:21

RNA-seq

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RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
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Related Experiment Video

Updated: Jan 12, 2026

Multiplexed Barcoding Image Analysis for Immunoprofiling and Spatial Mapping Characterization in the Single-Cell Analysis of Paraffin Tissue Samples
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High-plex spatial RNA imaging in one round with conventional microscopes using color-intensity barcodes.

Tianyi Chang1, Shihui Zhao1,2, Kunyue Deng1,2

  • 1Biomedical Pioneering Innovation Center (BIOPIC), Peking University International Cancer Institute, School of Life Sciences, Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China.

Nature Biotechnology
|October 31, 2025
PubMed
Summary
This summary is machine-generated.

Profiling of RNA in situ through single-round imaging (PRISM) enables 64-plex RNA imaging using standard microscopes by expanding color capacity. This breakthrough facilitates detailed spatial transcriptomic analysis across diverse biological systems.

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Area of Science:

  • Molecular Biology
  • Genomics
  • Microscopy

Background:

  • Conventional fluorescence microscopy limits spatial RNA imaging to few channels.
  • Sequential fluorescence in situ hybridization requires complex instrumentation for multiplexing.

Purpose of the Study:

  • Introduce a novel method, PRISM, for high-plex spatial RNA imaging.
  • Expand RNA coding capacity using color intensity grading.
  • Enable multiplexed RNA imaging with conventional microscopes.

Main Methods:

  • Developed PRISM (Profiling of RNA in situ through single-round imaging).
  • Utilized color intensity grading for expanded coding capacity.
  • Employed radius vector filtering for codeword distinguishability.
  • Achieved 64-plex color-barcoded RNA imaging in a single round.

Main Results:

  • Demonstrated PRISM's versatility across multiple tissues.
  • Generated a 3D mouse embryonic development atlas (E12.5-E14.5).
  • Created a quasi-3D human hepatocellular carcinoma tumor-normal transition landscape.
  • Mapped 3D cell atlas and subcellular RNA localization in mouse brain.
  • Identified the role of cancer-associated fibroblasts in tumor immune microenvironments.

Conclusions:

  • PRISM significantly enhances spatial RNA imaging capabilities.
  • The method supports high-plex analysis with accessible instrumentation.
  • PRISM provides new insights into developmental biology, cancer, and neuroscience.