Evidence map›Paper›PMID 34348892›Full record

ArticleScience advances2021

Repurposing RNA sequencing for discovery of RNA modifications in clinical cohorts.

Kar-Tong Tan, Ling-Wen Ding, Chan-Shuo Wu, Daniel G Tenen, Henry Yang

Open access · goldAbstract read
In one paragraph

Article in Science advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

16 citing papers in PubMed, 23 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. RNA mCancer communications (London, England) · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. MRT-ModSeq - Rapid detection of RNA modifications with MarathonRT.bioRxiv : the preprint server for biology · 2023
    Article
  12. Article
  13. Article
  14. Epitranscriptome: Review of Top 25 Most-Studied RNA Modifications.International journal of molecular sciences · 2022
    Review
  15. Article
  16. Article
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

5 authors at 2 institutions in 2 countries.

Kar-Tong TanCancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore.ORCID 0000-0002-0393-1930
Ling-Wen DingDepartment of Pathology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.ORCID 0000-0003-0022-1551
Chan-Shuo WuCancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore.
Daniel G TenenCancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore. daniel.tenen@nus.edu.sg csiyangh@nus.edu.sg.ORCID 0000-0002-6423-3888
Henry YangCancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore. daniel.tenen@nus.edu.sg csiyangh@nus.edu.sg.ORCID 0000-0002-1155-8216
National University of Singapore · SGHarvard University · US

Funding

Transcriptional and epigenetic heterogeneity of stem/progenitor cellsP01HL131477 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI DANIEL G TENEN · 2017 to 2026
$24.6M
Mechanisms of regulation by RNA in acute myeloid leukemiaR35CA197697 · NCI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI TENEN, DANIEL G · 2015 to 2021
$7.1M
NCI NIH HHS R35 CA197697NHLBI NIH HHS P01 HL131477
6 · The paper itself

Abstract

The study of RNA modifications in large clinical cohorts can reveal relationships between the epitranscriptome and human diseases, although this is especially challenging. We developed ModTect (https://github.com/ktan8/ModTect), a statistical framework to identify RNA modifications de novo by standard RNA-sequencing with deletion and mis-incorporation signals. We show that ModTect can identify both known (

Indexed as

NeoplasmsRNA Processing, Post-TranscriptionalBase SequenceHigh-Throughput Nucleotide SequencingHumansRNASequence Analysis, RNARNA

Identifiers

PMID34348892
PMCPMC8336963
OpenAlexW3190211944

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.