Evidence map›Paper›PMID 36658122›Full record

ArticleNature communications2023

Semi-quantitative detection of pseudouridine modifications and type I/II hypermodifications in human mRNAs using direct long-read sequencing.

Sepideh Tavakoli, Mohammad Nabizadeh, Amr Makhamreh, Howard Gamper, Caroline A McCormick, Neda K Rezapour, Ya-Ming Hou, Meni Wanunu, Sara H Rouhanifard

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers.

0numbers the graph read from it
0cells of the map it votes in
83citing 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

83 citing papers in PubMed.

  1. Ψ-Atlas: An Integrated Atlas for Pseudouridine Epitranscriptome.Genomics, proteomics & bioinformatics · 2026
    Article
  2. Article
  3. Integrating mass spectrometry with Nanopore direct RNA sequencing forbioRxiv : the preprint server for biology · 2026
    Article
  4. Review
  5. NanoCortex: A Unified Agentic System for Nanopore Sequencing Analysis.bioRxiv : the preprint server for biology · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Comprehensive discovery of mNature communications · 2025
    Article
  18. Article
  19. Review
  20. Article

23 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

9 authors.

Sepideh Tavakoli *Department of Bioengineering, Northeastern University, Boston, MA, USA.
Mohammad Nabizadeh *Department of Mechanical Engineering, Northeastern University, Boston, MA, USA.ORCID 0000-0003-0151-767X
Amr MakhamrehDepartment of Bioengineering, Northeastern University, Boston, MA, USA.ORCID 0000-0002-4615-5820
Howard GamperDepartment of Biochemistry and Molecular Biology, Thomas Jefferson University, Philadelphia, PA, USA.ORCID 0000-0001-9007-8546
Caroline A McCormickDepartment of Bioengineering, Northeastern University, Boston, MA, USA.
Neda K RezapourDepartment of Physics, Northeastern University, Boston, MA, USA.
Ya-Ming HouDepartment of Biochemistry and Molecular Biology, Thomas Jefferson University, Philadelphia, PA, USA.ORCID 0000-0001-6546-2597
Meni WanunuDepartment of Bioengineering, Northeastern University, Boston, MA, USA.ORCID 0000-0002-9837-0004
Sara H RouhanifardDepartment of Bioengineering, Northeastern University, Boston, MA, USA. s.rouhanifard@northeastern.edu.ORCID 0000-0002-6991-4877

Funding

tRNA in codon usageR35GM134931 · NIGMS · THOMAS JEFFERSON UNIVERSITY · PI HOU, YA-MING · 2020 to 2025
$5.4M
Single-cell direct RNA sequencing using electrical zero-mode waveguides and engineered reverse transcriptasesR01HG011087 · NHGRI · NORTHEASTERN UNIVERSITY · PI WANUNU, MENI · 2020 to 2023
$3.0M
Exploring 3Dpol for RNA sequencing in real timeR21HG011120 · NHGRI · THOMAS JEFFERSON UNIVERSITY · PI HOU, YA-MING · 2020 to 2022
$624k
NHGRI NIH HHS R01 HG011087NHGRI NIH HHS R21 HG011120
6 · The paper itself

Abstract

Here, we develop and apply a semi-quantitative method for the high-confidence identification of pseudouridylated sites on mammalian mRNAs via direct long-read nanopore sequencing. A comparative analysis of a modification-free transcriptome reveals that the depth of coverage and specific k-mer sequences are critical parameters for accurate basecalling. By adjusting these parameters for high-confidence U-to-C basecalling errors, we identify many known sites of pseudouridylation and uncover previously unreported uridine-modified sites, many of which fall in k-mers that are known targets of pseudouridine synthases. Identified sites are validated using 1000-mer synthetic RNA controls bearing a single pseudouridine in the center position, demonstrating systematic under-calling using our approach. We identify mRNAs with up to 7 unique modification sites. Our workflow allows direct detection of low-, medium-, and high-occupancy pseudouridine modifications on native RNA molecules from nanopore sequencing data and multiple modifications on the same strand.

Indexed as

PseudouridineSaccharomyces cerevisiaeAnimalsHumansMammalsRNARNA, MessengerTranscriptomePseudouridineRNARNA, Messenger

Identifiers

PMID36658122
PMCPMC9852470

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Registered trials

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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.