ArticleCommunications biology2025
Enhancing single-cell transcriptomics using interposed anchor oligonucleotide sequences.
Article in Communications biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Unique molecular identifiers don't need to be unique: a collision-aware estimator for RNA-seq quantification.bioRxiv : the preprint server for biology · 2026Article
- Harvesting more reads from single-cell combinatorial barcoding data with scarecrow.Bioinformatics (Oxford, England) · 2026Article
- Review
- Understanding and Advancing Wound Healing in the Era of Multi-Omic Technology.Bioengineering (Basel, Switzerland) · 2025Review
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Authors and funding
12 authors.
Funding
Abstract
Single-cell transcriptomics, which utilises barcodes and unique molecular identifiers (UMIs) for polyA+ mRNA capture, is compromised by oligonucleotide synthesis errors. To address this, we modified the oligonucleotide capture design and integrated an interposed anchor between the barcode and the UMI. This design significantly reduces the need to discard reads due to synthesis inaccuracies. Our results demonstrate that this anchor-enhanced design substantially improves gene expression profiles in droplet-based single-cell sequencing analyses.
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Registered trials
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