Evidence map›Paper›PMID 40183637›Full record

ArticleNucleic acids research2025

True length of diverse capped RNA sequencing (TLDR-seq): 5'-3'-end sequencing of capped RNAs regardless of 3'-end status.

Jamie Auxillos, Arnaud Stigliani, Christian Skov Vaagensø, William Garland, Adnan Muhammed Niazi, Eivind Valen, Torben Heick Jensen, Albin Sandelin

Abstract read
In one paragraph

Article in Nucleic acids research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Jamie AuxillosSection for Computational and RNA Biology, Department of Biology, University of Copenhagen, DK2200 Copenhagen, Denmark.
Arnaud StiglianiSection for Computational and RNA Biology, Department of Biology, University of Copenhagen, DK2200 Copenhagen, Denmark.
Christian Skov VaagensøSection for Computational and RNA Biology, Department of Biology, University of Copenhagen, DK2200 Copenhagen, Denmark.
William GarlandDepartment of Molecular Biology and Genetics, Aarhus University, DK8000 Aarhus, Denmark.
Adnan Muhammed NiaziComputational Biology Unit, Department of Informatics, University of Bergen, N-5008 Bergen, Norway.
Eivind ValenComputational Biology Unit, Department of Informatics, University of Bergen, N-5008 Bergen, Norway.ORCID 0000-0003-1840-6108
Torben Heick JensenDepartment of Molecular Biology and Genetics, Aarhus University, DK8000 Aarhus, Denmark.ORCID 0000-0001-5127-1239
Albin SandelinSection for Computational and RNA Biology, Department of Biology, University of Copenhagen, DK2200 Copenhagen, Denmark.ORCID 0000-0002-7109-7378

Funding

Independent Research Fund Denmark 1030-00020BNovo Nordisk Foundation NNF20OC0059951
6 · The paper itself

Abstract

Analysis of transcript function is greatly aided by knowledge of the full-length RNA sequence. New long-read sequencing enabled by Oxford Nanopore and PacBio devices have the potential to provide full-length transcript information; however, standard methods still lack the ability to capture true RNA 5' ends and select for polyadenylated (pA+) transcripts only. Here, we present a method that, by utilizing cap trapping and 3'-end adapter ligation, sequences transcripts between their exact 5' and 3' ends regardless of polyadenylation status and without the need for ribosomal RNA depletion, with the ability to characterize polyadenylation length of RNAs, if any. The method shows high reproducibility, can faithfully detect 5' ends, 3' ends and splice junctions, and produces gene-expression estimates that are highly correlated to those of short-read sequencing techniques. We also demonstrate that the method can detect and sequence full-length nonadenylated (pA-) RNAs, including long noncoding RNAs, promoter upstream transcripts, and enhancer RNAs, and present cases where pA+ and pA- RNAs show preferences for different but closely located transcription start sites. Our method is therefore useful for the characterization of diverse capped RNA species and analysis of relationships between transcription initiation, termination, and RNA processing.

Indexed as

RNA CapsSequence Analysis, RNAHigh-Throughput Nucleotide SequencingHumansPolyadenylationPromoter Regions, GeneticRNA, Long NoncodingRNA, MessengerRNA CapsRNA, Long NoncodingRNA, Messenger

Identifiers

PMID40183637
PMCPMC11969664

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Registered trials

None linked

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.