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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

  • Xue Sun*
  • , Shir Liya Dadon
  • , Dena Ennis
  • , Wenpeng Fan
  • , Muhammad Awawdy
  • , Eli Reuveni
  • , Adi Alajem
  • , Oren Ram*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
JournalNucleic Acids Research
Volume54
Issue number7
DOIs
StatePublished - Apr 2026

Bibliographical note

Publisher Copyright:
© The Author(s) 2026. Published by Oxford University Press.

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