Evidence map›Paper›PMID 36536091›Full record

ArticleNature methods2023

Nano3P-seq: transcriptome-wide analysis of gene expression and tail dynamics using end-capture nanopore cDNA sequencing.

Oguzhan Begik, Gregor Diensthuber, Huanle Liu, Anna Delgado-Tejedor, Cassandra Kontur, Adnan Muhammad Niazi, Eivind Valen, Antonio J Giraldez, Jean-Denis Beaudoin, John S Mattick and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Nature methods, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
4.9field-weighted citation impact, top 3% 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

49 citing papers in PubMed, 58 citations in OpenAlex.

  1. Review
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  3. Single-molecule mbioRxiv : the preprint server for biology · 2026
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  19. 3AIM-seq: Quality assessment of mRNA therapeutics using sequencing for 3' poly(A) tails of in vitro-transcribed mRNA.Molecular therapy : the journal of the American Society of Gene Therapy · 2025
    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

11 authors at 6 institutions in 4 countries.

Oguzhan BegikCentre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain.ORCID http://orcid.org/0000-0002-8663-4586
Gregor DiensthuberCentre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain.
Huanle LiuCentre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain.ORCID http://orcid.org/0000-0002-4910-3698
Anna Delgado-TejedorCentre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain.
Cassandra KonturDepartment of Genetics, Yale University, New Haven, CT, USA.
Adnan Muhammad NiaziComputational Biology Unit, Department of Informatics, University of Bergen, Bergen, Norway.ORCID http://orcid.org/0000-0001-6955-2506
Eivind ValenComputational Biology Unit, Department of Informatics, University of Bergen, Bergen, Norway.
Antonio J GiraldezDepartment of Genetics, Yale University, New Haven, CT, USA.ORCID http://orcid.org/0000-0002-6823-137X
Jean-Denis BeaudoinDepartment of Genetics and Genome Sciences, Institute for Systems Genomics, University of Connecticut Health Center, Farmington, CT, USA.ORCID http://orcid.org/0000-0003-4932-1668
John S MattickGarvan Institute of Medical Research, Sydney, New South Wales, Australia.ORCID http://orcid.org/0000-0002-7680-7527
Eva Maria NovoaCentre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain. eva.novoa@crg.eu.ORCID http://orcid.org/0000-0002-9367-6311
Centre for Genomic Regulation · ESGarvan Institute of Medical Research · AUUniversitat Pompeu Fabra · ESUniversity of Bergen · NOYale University · USUConn Health · US

Funding

GENETICS AND GENOMICS OF HUMAN DISEASET32HD007149 · NICHD · YALE UNIVERSITY · PI James P Noonan · 1985 to 2026
$8.2M
Molecular mechanisms of the maternal to zygotic transitionR35GM122580 · NIGMS · YALE UNIVERSITY · PI Antonio J Giraldez · 2017 to 2026
$8.1M
Deciphering the regulatory code that specifies different cell fates in development using single cell genomicsR01HD100035 · NICHD · YALE UNIVERSITY · PI GIRALDEZ, ANTONIO J, KRISHNASWAMY, SMITA · 2020 to 2024
$2.8M
Analysis of the Molecular Machinery Regulating Gene Expression during Vertebrate DevelopmentR00HD093873 · NICHD · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI BEAUDOIN, JEAN-DENIS · 2020 to 2022
$630k
NICHD NIH HHS R00 HD093873NICHD NIH HHS R01 HD100035NICHD NIH HHS T32 HD007149NIGMS NIH HHS R35 GM122580
6 · The paper itself

Abstract

RNA polyadenylation plays a central role in RNA maturation, fate, and stability. In response to developmental cues, polyA tail lengths can vary, affecting the translation efficiency and stability of mRNAs. Here we develop Nanopore 3' end-capture sequencing (Nano3P-seq), a method that relies on nanopore cDNA sequencing to simultaneously quantify RNA abundance, tail composition, and tail length dynamics at per-read resolution. By employing a template-switching-based sequencing protocol, Nano3P-seq can sequence RNA molecule from its 3' end, regardless of its polyadenylation status, without the need for PCR amplification or ligation of RNA adapters. We demonstrate that Nano3P-seq provides quantitative estimates of RNA abundance and tail lengths, and captures a wide diversity of RNA biotypes. We find that, in addition to mRNA and long non-coding RNA, polyA tails can be identified in 16S mitochondrial ribosomal RNA in both mouse and zebrafish models. Moreover, we show that mRNA tail lengths are dynamically regulated during vertebrate embryogenesis at an isoform-specific level, correlating with mRNA decay. Finally, we demonstrate the ability of Nano3P-seq in capturing non-A bases within polyA tails of various lengths, and reveal their distribution during vertebrate embryogenesis. Overall, Nano3P-seq is a simple and robust method for accurately estimating transcript levels, tail lengths, and tail composition heterogeneity in individual reads, with minimal library preparation biases, both in the coding and non-coding transcriptome.

Indexed as

NanoporesTranscriptomeAnimalsDNA, ComplementaryGene Expression ProfilingMicePoly ARNARNA, MessengerSequence Analysis, RNAZebrafishDNA, ComplementaryPoly ARNARNA, Messenger

Identifiers

PMID36536091
PMCPMC9834059
OpenAlexW4312020019

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.