sc-rDSeq: a robust and cost-effective full-length total RNA sequencing method for single cells reveals multilayered heterogeneity in drug-resistant lung cancer cells

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Authors: Xue Sun, Shir-Liya Dadon, Dena Ennis, Wenpeng Fan, Muhammad Awawdy, Eli Reuveni, Adi Alajem, Oren Ram
Cited by: 1
References: 111

Abstract

sc-rDSeq is a scalable, full-length total RNA droplet-based technology that captures both polyadenylated and nonpolyadenylated RNAs, including histone RNAs, small and long non-coding RNAs, and enhancer RNAs. It achieves a 10-fold increase in UMIs per cell compared to conventional scRNAseq like 10× Chromium and inDrops, while remaining simple and cost-efficient. Applied to lung cancer cells, sc-rDSeq uncovered hidden heterogeneity, divergent signaling pathways, and non-polyA RNA variations undetectable by 3' end-based methods. Following EGFR inhibitor treatment, cell cycle arrest was detected through non-polyA histone messenger RNA expression, revealing seven distinct subpopulations of cells with upregulation of different persister-related programs, like migration, sterol synthesis and matrix formation. Additionally, by leveraging single-cell expression variability and pseudo-bulk analyses, sc-rDSeq unveiled alternative splicing events and single nucleotide variations that distinguished the drug resistant subsets. sc-rDSeq therefore opens the way for in-depth personalized medicine applications through massive-scale and multifaceted analysis of different RNA species, splicing events, and sequence variations.

Fields of Study & Subjects

RNA Research and Splicing Single-cell and spatial transcriptomics RNA modifications and cancer

Publication details

Journal / source
Nucleic Acids Research
Publisher
Oxford University Press (OUP)
Volume
54
Issue
7
Publication date
26 March 2026
Language
EN