Evidence map›Paper›PMID 41068925›Full record

ArticleGenome biology2025

Evaluating the potential and limitations of nanopore adaptive sampling for targeted transcriptome sequencing.

Nicole DeBruyne, Feng Wang, Yang Xu, Lan Lin

Abstract readEvaluation Study
In one paragraph

Article in Genome biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
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  3. Review
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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

4 authors.

Nicole DeBruyneGraduate Group in Cell and Molecular Biology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Feng WangCenter for Computational and Genomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Yang XuCenter for Computational and Genomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Lan LinCenter for Computational and Genomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA. linlan@chop.edu.

Funding

Regulation and Function of RNA Editing in Human TranscriptomesR01GM121827 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LIN, LAN · 2017 to 2021
$1.9M
Long-read strategies for elucidating transcriptome complexity and advancing genomic medicineR35GM158057 · NIGMS · CHILDREN'S HOSP OF PHILADELPHIA · PI Lan Lin · 2025 to 2026
$890k
NIGMS NIH HHS R01 GM121827NIGMS NIH HHS R35 GM158057NIH HHS R01GM121827
6 · The paper itself

Abstract

Long-read RNA sequencing is a powerful technology for transcriptomics, but low throughput and high cost pose challenges. Adaptive sampling, a feature of Oxford Nanopore Technologies, offers real-time enrichment by selectively ejecting non-target molecules. We evaluate adaptive sampling for human transcriptome analysis. Adaptive sampling modestly enriches target transcripts (1.3 × for cDNA sequencing, 1.9 × for direct RNA sequencing) while preserving gene expression and splicing profiles, but is significantly less effective than cDNA hybridization capture. Short read lengths and low sequencing quality limit performance. Adaptive sampling on direct RNA sequencing can boost target yield (~ 20%) within fixed run times, potentially aiding time-constrained applications.

Indexed as

Gene Expression ProfilingNanopore SequencingSequence Analysis, RNADNA, ComplementaryHumansTranscriptomeDNA, ComplementaryAdaptive samplingLong-read sequencingOxford Nanopore TechnologiesRNA sequencingSelective sequencingTargeted sequencingTranscriptomics

Identifiers

PMID41068925
PMCPMC12509409

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.