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High-throughput single nucleus total RNA sequencing of formalin-fixed paraffin-embedded tissues by snRandom-seq

Ziye Xu, Tianyu Zhang, Hongyu Chen, Yuyi Zhu, Yuexiao Lv, Shunji Zhang, Jiaye Chen, Haide Chen, Lili Yang, Weiqin Jiang, Shengyu Ni, Fangru Lu, Zhaolun Wang, Hao Yang, Ling Dong, Feng Chen, Hong Zhang, Yu Chen, Jiong Liu, Dandan Zhang, Longjiang Fan, Guoji Guo, Yongcheng Wang

2023Nature Communications100 citationsDOIOpen Access PDF

Abstract

Formalin-fixed paraffin-embedded (FFPE) tissues constitute a vast and valuable patient material bank for clinical history and follow-up data. It is still challenging to achieve single cell/nucleus RNA (sc/snRNA) profile in FFPE tissues. Here, we develop a droplet-based snRNA sequencing technology (snRandom-seq) for FFPE tissues by capturing full-length total RNAs with random primers. snRandom-seq shows a minor doublet rate (0.3%), a much higher RNA coverage, and detects more non-coding RNAs and nascent RNAs, compared with state-of-art high-throughput scRNA-seq technologies. snRandom-seq detects a median of >3000 genes per nucleus and identifies 25 typical cell types. Moreover, we apply snRandom-seq on a clinical FFPE human liver cancer specimen and reveal an interesting subpopulation of nuclei with high proliferative activity. Our method provides a powerful snRNA-seq platform for clinical FFPE specimens and promises enormous applications in biomedical research.

Topics & Concepts

RNANucleusSmall nuclear RNAComputational biologyBiologyGeneRNA-SeqMolecular biologyGene expressionBioinformaticsCell biologyGeneticsNon-coding RNATranscriptomeCancer-related molecular mechanisms researchMolecular Biology Techniques and ApplicationsSingle-cell and spatial transcriptomics
High-throughput single nucleus total RNA sequencing of formalin-fixed paraffin-embedded tissues by snRandom-seq | Litcius