sc-rDSeq: Droplet-based single-cell full-length total RNA-seq method
Clicks: 1
ID: 315267
2026
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
0.0
/100
1 views
0 readers
AI Quality Assessment
Not analyzed
Readership in this journal
Ranked #2 of 20 articles by views in Biology Methods and Protocols
Most read
Least read
Bar heights use a square-root scale.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
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, non‑coding 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 heterogeneous 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 multi‑step 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 tenfold 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. For complete details on the use and execution of this protocol, please refer to Sun et al., 2026 (DOI: 10.1093/nar/gkag312).
| Reference Key |
openalex_W7162784515
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Xue Sun, Oren Ram |
| Journal | Biology Methods and Protocols |
| Year | 2026 |
| DOI |
10.1093/biomethods/bpag027
|
| URL | |
| Keywords | Keywords not found |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.