ReviewNature protocols2025
Long-read RNA sequencing of transposable elements from single cells using CELLO-seq.
Review in Nature protocols, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- Reading the SINEs - functionality in noncoding RNA 'cheap genes'.RNA biology · 2026Review
- Review
- Transposable Element Dysregulation in Hepatocellular Carcinoma: Epigenetic Mechanisms, Immune Remodeling, and Translational Opportunities.Journal of hepatocellular carcinoma · 2026Review
- Research Progress Regarding the Use of Single-Cell Sequencing Technology in Analyzing Tumor Endothelial Cell Pathophysiology.International journal of molecular sciences · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Transposable elements (TEs) form 50% of the mammalian genome sequence, and their expression contributes to processes from development to disease. Owing to the abundance and high sequence similarity of TEs, short-read single-cell sequencing methods promote ambiguous mapping to many almost-identical TE loci across the genome. Here we present a protocol for single-cell long-read RNA sequencing (CELLO-seq) to enable the mapping of TE-derived reads to unique genomic loci. CELLO-seq enables the error correction of long reads through the incorporation of long 50-nucleotide unique molecular identifiers and high polymerase chain reaction duplicate numbers. Taken together, these features of CELLO-seq enable the high-fidelity mapping of expression data to highly sequence-similar young TEs, as well as to gene and TE isoforms. This will enable in-depth exploration into the interaction of individual TEs and genes within single cells. This Protocol is designed to be accessible for users with experience in molecular biology and transcriptomic analysis and can be completed within a week from cell isolation through to quantification.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.