Evidence map›Paper›PMID 38997264›Full record

ArticleNature communications2024

Exploring the impact of primer length on efficient gene detection via high-throughput sequencing.

Julia Micheel, Aram Safrastyan, Franziska Aron, Damian Wollny

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

4 authors.

Julia MicheelRNA Bioinformatics and High Throughput Analysis, Friedrich Schiller University, Jena, Germany.ORCID 0000-0002-5582-5064
Aram SafrastyanRNA Bioinformatics and High Throughput Analysis, Friedrich Schiller University, Jena, Germany.ORCID 0000-0003-0325-6549
Franziska AronRNA Bioinformatics and High Throughput Analysis, Friedrich Schiller University, Jena, Germany.ORCID 0000-0003-4126-8612
Damian WollnyRNA Bioinformatics and High Throughput Analysis, Friedrich Schiller University, Jena, Germany. labwollny@gmail.com.ORCID 0000-0003-0562-3226

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reverse transcription (RT) is a crucial step in most RNA analysis methods. Optimizing protocols for this initial stage is critical for effective target detection, particularly when working with limited input RNA. Several factors, such as the input material quality and reaction conditions, influence RT efficiency. However, the effect of RT primer length on gene detection efficiency remains largely unknown. Thus, we investigate its impact by generating RNA-seq libraries with random RT primers of 6, 12, 18, or 24 nucleotides. To our surprise, the 18mer primer shows superior efficiency in overall transcript detection compared to the commonly used 6mer primer, especially in detecting longer RNA transcripts in complex human tissue samples. This study highlights the critical role of primer length in RT efficiency, which has significant potential to benefit various transcriptomic assays, from basic research to clinical diagnostics, given the central role of RT in RNA-related analyses.

Indexed as

DNA PrimersHigh-Throughput Nucleotide SequencingGene LibraryHumansReverse TranscriptionRNASequence Analysis, RNADNA PrimersRNA

Identifiers

PMID38997264
PMCPMC11245535

What OpenQuestion holds

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LicenceCC BY
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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.