Evidence map›Paper›PMID 34850115›Full record

ArticleNucleic acids research2022

Accurate expression quantification from nanopore direct RNA sequencing with NanoCount.

Josie Gleeson, Adrien Leger, Yair D J Prawer, Tracy A Lane, Paul J Harrison, Wilfried Haerty, Michael B Clark

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers.

0numbers the graph read from it
0cells of the map it votes in
84citing papers in PubMed
6.9field-weighted citation impact, top 2% 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

84 citing papers in PubMed, 118 citations in OpenAlex.

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24 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

7 authors at 5 institutions in 2 countries.

Josie GleesonCentre for Stem Cell Systems, Department of Anatomy and Physiology, The University of Melbourne, Parkville, VIC, Australia.
Adrien LegerEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.ORCID 0000-0001-8772-6776
Yair D J PrawerCentre for Stem Cell Systems, Department of Anatomy and Physiology, The University of Melbourne, Parkville, VIC, Australia.
Tracy A LaneDepartment of Psychiatry, University of Oxford, Oxford, UK.
Paul J HarrisonDepartment of Psychiatry, University of Oxford, Oxford, UK.
Wilfried HaertyThe Earlham Institute, Norwich, UK.ORCID 0000-0003-0111-191X
Michael B ClarkCentre for Stem Cell Systems, Department of Anatomy and Physiology, The University of Melbourne, Parkville, VIC, Australia.ORCID 0000-0002-2903-9537
The University of Melbourne · AUEuropean Bioinformatics Institute · GBOxford Health NHS Foundation Trust · GBUniversity of East Anglia · GBUniversity of Oxford · GB

Funding

Biotechnology and Biological Sciences Research Council BB/J004669/1Biotechnology and Biological Sciences Research Council BB/P016774/1Biotechnology and Biological Sciences Research Council BBS/E/T/000PR9817Department of Health BRC-1215-20005Medical Research Council MR/P026028/1Wellcome TrustWellcome Trust 102616Wellcome Trust 201879/Z/16/Z
6 · The paper itself

Abstract

Accurately quantifying gene and isoform expression changes is essential to understanding cell functions, differentiation and disease. Sequencing full-length native RNAs using long-read direct RNA sequencing (DRS) has the potential to overcome many limitations of short and long-read sequencing methods that require RNA fragmentation, cDNA synthesis or PCR. However, there are a lack of tools specifically designed for DRS and its ability to identify differential expression in complex organisms is poorly characterised. We developed NanoCount for fast, accurate transcript isoform quantification in DRS and demonstrate it outperforms similar methods. Using synthetic controls and human SH-SY5Y cell differentiation into neuron-like cells, we show that DRS accurately quantifies RNA expression and identifies differential expression of genes and isoforms. Differential expression of 231 genes, 333 isoforms, plus 27 isoform switches were detected between undifferentiated and differentiated SH-SY5Y cells and samples clustered by differentiation state at the gene and isoform level. Genes upregulated in neuron-like cells were associated with neurogenesis. NanoCount quantification of thousands of novel isoforms discovered with DRS likewise enabled identification of their differential expression. Our results demonstrate enhanced DRS isoform quantification with NanoCount and establish the ability of DRS to identify biologically relevant differential expression of genes and isoforms.

Indexed as

NanoporesNanopore SequencingGene Expression ProfilingHumansProtein IsoformsRNASequence Analysis, RNATranscriptomeProtein IsoformsRNA

Identifiers

PMID34850115
PMCPMC8886870
OpenAlexW3216955846

What OpenQuestion holds

Textmetadata
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.