Evidence map›Paper›PMID 34470578›Full record

ArticleRNA biology2021

Custom long non-coding RNA capture enhances detection sensitivity in different human sample types.

Annelien Morlion, Celine Everaert, Justine Nuytens, Eva Hulstaert, Jo Vandesompele, Pieter Mestdagh

Open access · bronzeAbstract read
In one paragraph

Article in RNA biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 44% of its field
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, 8 citations in OpenAlex.

  1. Article
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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

6 authors at 1 institution in 1 country.

Annelien MorlionOncoRNALab, Center for Medical Genetics, Department of Biomolecular Medicine, Ghent University, B-9000 Ghent, Belgium.ORCID 0000-0003-1791-2359
Celine EveraertOncoRNALab, Center for Medical Genetics, Department of Biomolecular Medicine, Ghent University, B-9000 Ghent, Belgium.ORCID 0000-0001-7772-4259
Justine NuytensOncoRNALab, Center for Medical Genetics, Department of Biomolecular Medicine, Ghent University, B-9000 Ghent, Belgium.
Eva HulstaertOncoRNALab, Center for Medical Genetics, Department of Biomolecular Medicine, Ghent University, B-9000 Ghent, Belgium.
Jo VandesompeleOncoRNALab, Center for Medical Genetics, Department of Biomolecular Medicine, Ghent University, B-9000 Ghent, Belgium.ORCID 0000-0001-6274-0184
Pieter MestdaghOncoRNALab, Center for Medical Genetics, Department of Biomolecular Medicine, Ghent University, B-9000 Ghent, Belgium.ORCID 0000-0001-7821-9684
Ghent University Hospital · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long non-coding RNAs (lncRNAs) are a heterogeneous group of transcripts that lack protein coding potential and display regulatory functions in various cellular processes. As a result of their cell- and cancer-specific expression patterns, lncRNAs have emerged as potential diagnostic and therapeutic targets. The accurate characterization of lncRNAs in bulk transcriptome data remains challenging due to their low abundance compared to protein coding genes. To tackle this issue, we describe a unique short-read custom lncRNA capture sequencing approach that relies on a comprehensive set of 565,878 capture probes for 49,372 human lncRNA genes. This custom lncRNA capture approach was evaluated on various sample types ranging from artificial high-quality RNA mixtures to more challenging formalin-fixed paraffin-embedded tissue and biofluid material. The custom enrichment approach allows the detection of a more diverse repertoire of lncRNAs, with better reproducibility and higher coverage compared to classic total RNA-sequencing.

Indexed as

Body FluidsHigh-Throughput Nucleotide SequencingHumansParaffin EmbeddingReverse Transcriptase Polymerase Chain ReactionRNA, Long NoncodingRNA, Long NoncodingbiofluidFFPElncRNAlncRNomeprobesRNA abundanceRNA expressionRNA sequencing

Identifiers

PMID34470578
PMCPMC8682977
OpenAlexW3152913156

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.