Evidence map›Paper›PMID 38724548›Full record

ArticleNature communications2024

Prediction of m6A and m5C at single-molecule resolution reveals a transcriptome-wide co-occurrence of RNA modifications.

P Acera Mateos, A J Sethi, A Ravindran, A Srivastava, K Woodward, S Mahmud, M Kanchi, M Guarnacci, J Xu, Z W S Yuen and 13 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers.

0numbers the graph read from it
0cells of the map it votes in
78citing 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

78 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Compendium of RNA modifications for bacterial stress adaptation.Microbiology and molecular biology reviews : MMBR · 2026
    Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Single-molecule mbioRxiv : the preprint server for biology · 2026
    Article
  10. Article
  11. Article
  12. Article
  13. The Role of NMedComm · 2026
    Review
  14. Review
  15. Article
  16. Emerging roles of non-mNature plants · 2026
    Review
  17. Pseudouridylation landscape across 42bioRxiv : the preprint server for biology · 2026
    Article
  18. Article
  19. Article
  20. Article

18 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

23 authors.

P Acera MateosEMBL Australia Partner Laboratory Network at the Australian National University, Canberra, ACT, 2601, Australia.
A J Sethi *EMBL Australia Partner Laboratory Network at the Australian National University, Canberra, ACT, 2601, Australia.
A Ravindran *EMBL Australia Partner Laboratory Network at the Australian National University, Canberra, ACT, 2601, Australia.
A Srivastava *EMBL Australia Partner Laboratory Network at the Australian National University, Canberra, ACT, 2601, Australia.ORCID http://orcid.org/0000-0002-4553-9232
K WoodwardThe Shine-Dalgarno Centre for RNA Innovation, The John Curtin School of Medical Research, Australian National University, Canberra, ACT, 2601, Australia.
S MahmudThe Shine-Dalgarno Centre for RNA Innovation, The John Curtin School of Medical Research, Australian National University, Canberra, ACT, 2601, Australia.
M KanchiThe Shine-Dalgarno Centre for RNA Innovation, The John Curtin School of Medical Research, Australian National University, Canberra, ACT, 2601, Australia.
M GuarnacciThe Shine-Dalgarno Centre for RNA Innovation, The John Curtin School of Medical Research, Australian National University, Canberra, ACT, 2601, Australia.
J XuEMBL Australia Partner Laboratory Network at the Australian National University, Canberra, ACT, 2601, Australia.
Z W S YuenEMBL Australia Partner Laboratory Network at the Australian National University, Canberra, ACT, 2601, Australia.ORCID http://orcid.org/0000-0002-8567-9168
Y ZhouBuchmann Institute for Molecular Life Sciences (BMLS) & Faculty of Biological Sciences, Goethe University Frankfurt, 60438, Frankfurt am Main, Germany.ORCID http://orcid.org/0000-0003-1755-9073
A SneddonEMBL Australia Partner Laboratory Network at the Australian National University, Canberra, ACT, 2601, Australia.ORCID http://orcid.org/0000-0001-6199-7439
W HamiltonPeter MacCallum Cancer Centre, Melbourne, VIC, 3052, Australia.ORCID http://orcid.org/0000-0003-2029-1944
J GaoThe Shine-Dalgarno Centre for RNA Innovation, The John Curtin School of Medical Research, Australian National University, Canberra, ACT, 2601, Australia.
L M StarrsThe Shine-Dalgarno Centre for RNA Innovation, The John Curtin School of Medical Research, Australian National University, Canberra, ACT, 2601, Australia.
R HayashiThe Shine-Dalgarno Centre for RNA Innovation, The John Curtin School of Medical Research, Australian National University, Canberra, ACT, 2601, Australia.ORCID http://orcid.org/0000-0002-5848-9019
V WickramasinghePeter MacCallum Cancer Centre, Melbourne, VIC, 3052, Australia.ORCID http://orcid.org/0000-0002-9438-3457
K ZarnackBuchmann Institute for Molecular Life Sciences (BMLS) & Faculty of Biological Sciences, Goethe University Frankfurt, 60438, Frankfurt am Main, Germany.ORCID http://orcid.org/0000-0003-3527-3378
T PreissThe Shine-Dalgarno Centre for RNA Innovation, The John Curtin School of Medical Research, Australian National University, Canberra, ACT, 2601, Australia.ORCID http://orcid.org/0000-0001-6273-784X
G BurgioThe Shine-Dalgarno Centre for RNA Innovation, The John Curtin School of Medical Research, Australian National University, Canberra, ACT, 2601, Australia.ORCID http://orcid.org/0000-0002-7434-926X
N DehorterThe Eccles Institute of Neuroscience, The John Curtin School of Medical Research, Australian National University, Canberra, ACT, 2601, Australia.ORCID http://orcid.org/0000-0001-7599-2866
N E ShirokikhThe Shine-Dalgarno Centre for RNA Innovation, The John Curtin School of Medical Research, Australian National University, Canberra, ACT, 2601, Australia. nikolay.shirokikh@anu.edu.au.ORCID http://orcid.org/0000-0001-8249-358X
E EyrasEMBL Australia Partner Laboratory Network at the Australian National University, Canberra, ACT, 2601, Australia. eduardo.eyras@anu.edu.au.ORCID http://orcid.org/0000-0003-0793-6218

Funding

Department of Health | National Health and Medical Research Council (NHMRC) 2018833Department of Health | National Health and Medical Research Council (NHMRC) APP1135928Department of Health | National Health and Medical Research Council (NHMRC) GNT1175388
6 · The paper itself

Abstract

The epitranscriptome embodies many new and largely unexplored functions of RNA. A significant roadblock hindering progress in epitranscriptomics is the identification of more than one modification in individual transcript molecules. We address this with CHEUI (CH3 (methylation) Estimation Using Ionic current). CHEUI predicts N6-methyladenosine (m6A) and 5-methylcytosine (m5C) in individual molecules from the same sample, the stoichiometry at transcript reference sites, and differential methylation between any two conditions. CHEUI processes observed and expected nanopore direct RNA sequencing signals to achieve high single-molecule, transcript-site, and stoichiometry accuracies in multiple tests using synthetic RNA standards and cell line data. CHEUI's capability to identify two modification types in the same sample reveals a co-occurrence of m6A and m5C in individual mRNAs in cell line and tissue transcriptomes. CHEUI provides new avenues to discover and study the function of the epitranscriptome.

Indexed as

5-MethylcytosineAdenosineSequence Analysis, RNATranscriptomeHumansMethylationRNARNA, MessengerRNA Processing, Post-Transcriptional5-MethylcytosineAdenosineN-methyladenosineRNARNA, Messenger

Identifiers

PMID38724548
PMCPMC11082244

What Socratic 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 Socratic graph.