Abstract
This protocol describes sc-rDSeq, a scalable, droplet-based method for full-length, strand-specific total RNA sequencing at single-cell resolution. The protocol uses a refined set of 220 ribosomal-depleted sequences (rDS) primers that selectively exclude ribosomal RNA during initial reverse transcription, enabling capture of both polyadenylated and non-polyadenylated RNAs such as histone RNAs, noncoding RNAs, and enhancer RNAs, without requiring costly post-amplification depletion steps. This method is useful for researchers who would like to detect not only gene expression variations, but also alternative splicing events and single nucleotide variations in complex heterogenous cellular systems, providing a more complete view of cellular heterogeneity and regulatory programs that remain invisible to conventional polyadenylated-only sequencing approaches. Compared with existing full-length protocols, which are often limited by high reagent costs or reliance on complex multistep microfluidics, sc-rDSeq provides a simpler, single-step microfluidic workflow compatible with standard inDrops platforms, which may reduce experimental complexity and cost relative to existing full-length total-RNA methods. A key improvement is the 10-fold increase in unique molecular identifiers per cell relative to 3′ end-based methods, at a reported reagent cost of approximately $0.08 per cell, making deep total transcriptome analysis more accessible. The protocol includes three major parts: sc-rDSeq barcode synthesis, single-cell co-encapsulation, and library construction.
| Original language | English |
|---|---|
| Article number | bpag027 |
| Journal | Biology Methods and Protocols |
| Volume | 11 |
| Issue number | 1 |
| DOIs | |
| State | Published - 2026 |
Bibliographical note
Publisher Copyright:© The Author(s) 2026. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact [email protected] for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact [email protected].
Keywords
- Drop-based microfluidics
- Full transcriptomics
- Single-cell total RNA-seq
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