Evidence map›Paper›PMID 33326074›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2021

Annotation of Full-Length Long Noncoding RNAs with Capture Long-Read Sequencing (CLS).

Sílvia Carbonell Sala, Barbara Uszczyńska-Ratajczak, Julien Lagarde, Rory Johnson, Roderic Guigó

Erratum issuedAbstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Human mtDNA-Encoded Long ncRNAs: Knotty Molecules and Complex Functions.International journal of molecular sciences · 2024
    Review
  5. Review
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Sílvia Carbonell Sala *Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Catalonia, Spain.
Barbara Uszczyńska-Ratajczak *Institute of Bioorganic Chemistry Polish Academy of Sciences, Poznan, Poland.
Julien LagardeCentre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Catalonia, Spain.
Rory JohnsonDepartment of Medical Oncology, Inselspital, University Hospital, University of Bern, Bern, Switzerland. rory.johnson@dbmr.unibe.ch.
Roderic GuigóCentre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Catalonia, Spain. roderic.guigo@crg.cat.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metazoan genomes produce thousands of long-noncoding RNAs (lncRNAs), of which just a small fraction have been well characterized. Understanding their biological functions requires accurate annotations, or maps of the precise location and structure of genes and transcripts in the genome. Current lncRNA annotations are limited by compromises between quality and size, with many gene models being fragmentary or uncatalogued. To overcome this, the GENCODE consortium has developed RNA capture long-read sequencing (CLS), an approach combining targeted RNA capture with third-generation long-read sequencing. CLS provides accurate annotations at high-throughput rates. It eliminates the need for noisy transcriptome assembly from short reads, and requires minimal manual curation. The full-length transcript models produced are of quality comparable to present-day manually curated annotations. Here we describe a detailed CLS protocol, from probe design through long-read sequencing to creation of final annotations.

Indexed as

AnimalsComputational BiologyData CurationHigh-Throughput Nucleotide SequencingMolecular Sequence AnnotationRNA, Long NoncodingSequence Analysis, RNARNA, Long NoncodingCaptureSeqGENCODEGenome annotationlncRNAsLong-read RNA sequencingNanoporeNext-generation sequencingNGSPacBioTargeted RNA sequencing

Identifiers

What OpenQuestion holds

Textmetadata
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.