Evidence map›Paper›PMID 40082608›Full record

ArticleNature methods2025

A systematic benchmark of Nanopore long-read RNA sequencing for transcript-level analysis in human cell lines.

Ying Chen, Nadia M Davidson, Yuk Kei Wan, Fei Yao, Yan Su, Hasindu Gamaarachchi, Andre Sim, Harshil Patel, Hwee Meng Low, Christopher Hendra and 40 more

Abstract read
In one paragraph

Article in Nature methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 126 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
126citing papers in PubMed, 2 pooled it
–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

126 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Systematic review and meta-analysis of bulk RNAseq studies in human Alzheimer's disease brain tissue.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Pooled it
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  9. Epitranscriptomic Analysis of A-to-I RNA Editing and mInternational journal of molecular sciences · 2026
    Review
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  11. Integrating mass spectrometry with Nanopore direct RNA sequencing forbioRxiv : the preprint server for biology · 2026
    Article
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66 more citing papers are in PubMed but not listed here.

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

50 authors.

Ying Chen *Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore. chen_ying@gis.a-star.edu.sg.ORCID http://orcid.org/0000-0001-7876-4877
Nadia M Davidson *The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia.ORCID http://orcid.org/0000-0002-8461-7467
Yuk Kei Wan *Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore.ORCID http://orcid.org/0000-0003-1774-261X
Fei Yao *Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore.
Yan SuGenome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore.ORCID http://orcid.org/0000-0002-8878-8191
Hasindu GamaarachchiSchool of Computer Science and Engineering, UNSW Sydney, Sydney, New South Wales, Australia.ORCID http://orcid.org/0000-0002-9034-9905
Andre SimGenome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore.ORCID http://orcid.org/0000-0002-4062-469X
Harshil PatelSeqera, Barcelona, Spain.
Hwee Meng LowGenome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore.
Christopher HendraGenome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore.
Laura WrattenGenome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore.ORCID http://orcid.org/0000-0003-4470-5785
Christopher HakkaartSeqera, Barcelona, Spain.ORCID http://orcid.org/0000-0001-5007-2684
Chelsea SawyerBioinformatics and Biostatistics, The Francis Crick Institute, London, UK.ORCID http://orcid.org/0000-0001-7146-6981
Viktoriia IakovlevaGenome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore.ORCID http://orcid.org/0000-0002-1824-2556
Puay Leng LeeGenome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore.
Lixia XinGenome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore.
Hui En Vanessa NgCancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore.ORCID http://orcid.org/0000-0001-8668-1801
Jia Min LooGenome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore.ORCID http://orcid.org/0000-0002-6605-4031
Xuewen OngCancer and Stem Cell Biology Program, Duke-NUS Medical School, Singapore, Singapore.
Hui Qi Amanda NgGenome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore.
Jiaxu WangGenome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore.ORCID http://orcid.org/0000-0001-7101-8230
Wei Qian Casslynn KohGenome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore.
Suk Yeah Polly PoonGenome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore.
Dominik StanojevicGenome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore.ORCID http://orcid.org/0000-0001-7297-0629
Hoang-Dai TranGenome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore.ORCID http://orcid.org/0000-0002-4658-3091
Kok Hao Edwin LimGenome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore.
Shen Yon TohNational Cancer Centre Singapore, Singapore, Singapore.ORCID http://orcid.org/0000-0002-6421-0862
Philip Andrew EwelsSeqera, Barcelona, Spain.ORCID http://orcid.org/0000-0003-4101-2502
Huck-Hui NgGenome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore.
N Gopalakrishna IyerNational Cancer Centre Singapore, Singapore, Singapore.ORCID http://orcid.org/0000-0002-8812-6219
Alexandre ThieryDepartment of Statistics and Applied Probability, National University of Singapore, Singapore, Singapore.ORCID http://orcid.org/0000-0002-9542-509X
Wee Joo ChngCancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore.
Leilei ChenCancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore.
Ramanuj DasGuptaGenome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore.ORCID http://orcid.org/0000-0001-9015-3729
Mile SikicGenome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore.ORCID http://orcid.org/0000-0002-8370-0891
Yun-Shen ChanGenome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore.
Boon Ooi Patrick TanGenome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore.ORCID http://orcid.org/0000-0002-0179-8048
Yue WanGenome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore.ORCID http://orcid.org/0000-0002-2433-9637
Wai Leong TamGenome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore.ORCID http://orcid.org/0000-0003-2365-5264
Qiang YuGenome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore.
Chiea Chuan KhorGenome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore.ORCID http://orcid.org/0000-0002-1128-4729
Torsten WüstefeldGenome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore.ORCID http://orcid.org/0000-0002-0639-6048
Alexander LezhavaGenome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore.ORCID http://orcid.org/0000-0002-2188-5763
Ploy N PratanwanichGenome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore.ORCID http://orcid.org/0000-0003-3684-6967
Michael I LoveDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Wee Siong Sho GohGenome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore.
Sarah B NgGenome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore.
Alicia OshlackPeter MacCallum Cancer Centre, Melbourne, Victoria, Australia.ORCID http://orcid.org/0000-0001-9788-5690
SG-NEx consortium
Jonathan GökeGenome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore. gokej@gis.a-star.edu.sg.ORCID http://orcid.org/0000-0002-0825-4991

Funding

A Modular Framework for Accurate, Interpretable, and Reproducible Analysis of Long Read RNA-Seq DataR01HG009937 · NHGRI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Michael Isaiah Love, Robert Patro · 2018 to 2026
$2.8M
Department of Health | National Health and Medical Research Council (NHMRC) GNT2016547Department of Health | National Health and Medical Research Council (NHMRC) NHMRC GNT1196256Ministry of Education - Singapore (MOE) MOE-MOET32023-0002MOH | National Medical Research Council (NMRC) OFIRG16nov019MOH | National Medical Research Council (NMRC) OFIRG20nov-0108National Research Foundation Singapore (National Research Foundation-Prime Minister's office, Republic of Singapore) NRF-CRP26-2021-0001National Research Foundation Singapore (National Research Foundation-Prime Minister's office, Republic of Singapore) NRF-NRFI08-2022-0007NHGRI NIH HHS R01 HG009937
6 · The paper itself

Abstract

The human genome contains instructions to transcribe more than 200,000 RNAs. However, many RNA transcripts are generated from the same gene, resulting in alternative isoforms that are highly similar and that remain difficult to quantify. To evaluate the ability to study RNA transcript expression, we profiled seven human cell lines with five different RNA-sequencing protocols, including short-read cDNA, Nanopore long-read direct RNA, amplification-free direct cDNA and PCR-amplified cDNA sequencing, and PacBio IsoSeq, with multiple spike-in controls, and additional transcriptome-wide N

Indexed as

Gene Expression ProfilingNanoporesNanopore SequencingSequence Analysis, RNABenchmarkingCell LineGenome, HumanHumansTranscriptome

Identifiers

PMID40082608
PMCPMC11978509

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.