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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: May 10, 2025

Retrospective MicroRNA Sequencing: Complementary DNA Library Preparation Protocol Using Formalin-fixed Paraffin-embedded RNA Specimens
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Single-nucleus total RNA sequencing of formalin-fixed paraffin-embedded samples using snRandom-seq.

Ziye Xu1,2, Yuexiao Lyu1, Haide Chen1

  • 1Department of Laboratory Medicine of The First Affiliated Hospital & Liangzhu Laboratory, Zhejiang University School of Medicine, Hangzhou, China.

Nature Protocols
|April 25, 2025
PubMed
Summary

snRandom-seq enables single-nucleus RNA sequencing from challenging formalin-fixed paraffin-embedded (FFPE) tissues. This novel method enhances RNA detection and offers a 4-day protocol for analyzing archived clinical specimens.

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Area of Science:

  • Genomics
  • Molecular Biology
  • Bioinformatics

Background:

  • Formalin-fixed paraffin-embedded (FFPE) tissues are a rich source of clinical data but difficult for single-nucleus RNA sequencing.
  • Existing high-throughput single-cell/single-nucleus RNA sequencing (sc/snRNA-seq) methods face challenges with FFPE sample quality and RNA integrity.

Purpose of the Study:

  • To develop and validate a novel method for single-nucleus RNA sequencing (snRNA-seq) specifically optimized for FFPE tissues.
  • To overcome limitations in RNA capture and detection in archived clinical samples.

Main Methods:

  • Developed snRandom-seq, a droplet- and random primer-based technology for FFPE snRNA-seq.
  • Protocol includes single-nucleus isolation, in situ DNA blocking, reverse transcription, dA tailing, barcoding, and library preparation.
  • Utilizes random primers for comprehensive total RNA capture.

Main Results:

  • snRandom-seq achieved a low doublet rate of 0.3%.
  • Demonstrated increased RNA coverage and enhanced detection of non-coding and nascent RNAs compared to other methods.
  • The entire protocol is completed within 4 days.

Conclusions:

  • snRandom-seq is a powerful and efficient platform for snRNA-seq analysis of FFPE clinical specimens.
  • This technology expands the utility of archived tissues for studying complex biological systems and diseases.
  • Enables deeper insights into cellular heterogeneity and molecular mechanisms from historical patient cohorts.