Evidence map›Paper›PMID 38937428›Full record

ArticleNature communications2024

CapTrap-seq: a platform-agnostic and quantitative approach for high-fidelity full-length RNA sequencing.

Sílvia Carbonell-Sala, Tamara Perteghella, Julien Lagarde, Hiromi Nishiyori, Emilio Palumbo, Carme Arnan, Hazuki Takahashi, Piero Carninci, Barbara Uszczynska-Ratajczak, Roderic Guigó

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Review
  2. Towards mRNA therapeutics 2.0.Nature reviews. Drug discovery · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. TEITbase: a database for transposable element (TE)-initiated transcripts in human cancers.Database : the journal of biological databases and curation · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Sílvia Carbonell-SalaCentre for Genomic Regulation (CRG), the Barcelona Institute of Science and Technology, Barcelona, Catalonia, Spain.ORCID 0000-0001-7956-6215
Tamara PerteghellaCentre for Genomic Regulation (CRG), the Barcelona Institute of Science and Technology, Barcelona, Catalonia, Spain.
Julien LagardeCentre for Genomic Regulation (CRG), the Barcelona Institute of Science and Technology, Barcelona, Catalonia, Spain.
Hiromi NishiyoriLaboratory for Transcriptome Technology, RIKEN Center for Integrative Medical Sciences (IMS), Yokohama, Kanagawa, Japan.ORCID 0000-0002-7370-3909
Emilio PalumboCentre for Genomic Regulation (CRG), the Barcelona Institute of Science and Technology, Barcelona, Catalonia, Spain.ORCID 0000-0003-4599-8161
Carme ArnanCentre for Genomic Regulation (CRG), the Barcelona Institute of Science and Technology, Barcelona, Catalonia, Spain.
Hazuki TakahashiLaboratory for Transcriptome Technology, RIKEN Center for Integrative Medical Sciences (IMS), Yokohama, Kanagawa, Japan.ORCID 0000-0001-7315-7349
Piero CarninciLaboratory for Transcriptome Technology, RIKEN Center for Integrative Medical Sciences (IMS), Yokohama, Kanagawa, Japan.ORCID 0000-0001-7202-7243
Barbara Uszczynska-RatajczakCentre for Genomic Regulation (CRG), the Barcelona Institute of Science and Technology, Barcelona, Catalonia, Spain. barbara.uszczynska@gmail.com.ORCID 0000-0003-0150-3841
Roderic GuigóCentre for Genomic Regulation (CRG), the Barcelona Institute of Science and Technology, Barcelona, Catalonia, Spain. roderic.guigo@crg.cat.ORCID 0000-0002-5738-4477

Funding

GENCODE: comprehensive reference genome annotation for human and mouseU24HG007234 · NHGRI · EUROPEAN MOLECULAR BIOLOGY LABORATORY · PI Fergal James Martin · 2021 to 2026
$16.1M
NHGRI NIH HHS U24 HG007234
6 · The paper itself

Abstract

Long-read RNA sequencing is essential to produce accurate and exhaustive annotation of eukaryotic genomes. Despite advancements in throughput and accuracy, achieving reliable end-to-end identification of RNA transcripts remains a challenge for long-read sequencing methods. To address this limitation, we develop CapTrap-seq, a cDNA library preparation method, which combines the Cap-trapping strategy with oligo(dT) priming to detect 5' capped, full-length transcripts. In our study, we evaluate the performance of CapTrap-seq alongside other widely used RNA-seq library preparation protocols in human and mouse tissues, employing both ONT and PacBio sequencing technologies. To explore the quantitative capabilities of CapTrap-seq and its accuracy in reconstructing full-length RNA molecules, we implement a capping strategy for synthetic RNA spike-in sequences that mimics the natural 5'cap formation. Our benchmarks, incorporating the Long-read RNA-seq Genome Annotation Assessment Project (LRGASP) data, demonstrate that CapTrap-seq is a competitive, platform-agnostic RNA library preparation method for generating full-length transcript sequences.

Indexed as

Gene LibrarySequence Analysis, RNAAnimalsHigh-Throughput Nucleotide SequencingHumansMiceRNARNA CapsRNARNA Caps

Identifiers

PMID38937428
PMCPMC11211341

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.