Evidence map›Paper›PMID 30120023›Full record

ReviewTrends in molecular medicine2018

Epitranscriptomic Code and Its Alterations in Human Disease.

Rajashekar Varma Kadumuri, Sarath Chandra Janga

Open access · greenAbstract readReview
In one paragraph

Review in Trends in molecular medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed, 1 pooled it
6.3field-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

83 citing papers in PubMed, 1 synthesis or guideline pooled it, 143 citations in OpenAlex.

  1. Pooled it
  2. Dual Roles of mCells · 2026
    Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Genome-Wide Identification and Expression Analysis of mInternational journal of molecular sciences · 2025
    Article
  13. Review
  14. Article
  15. Review
  16. mNature communications · 2024
    Article
  17. Article
  18. Review
  19. Article
  20. ExploringHorticulture research · 2024
    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

2 authors at 1 institution in 1 country.

Rajashekar Varma KadumuriDepartment of BioHealth Informatics, School of Informatics and Computing, Walker Plaza Building, Indiana University-Purdue University Indianapolis, 719 Indiana Avenue, Suite 319, Indianapolis, IN 46202, USA.
Sarath Chandra JangaDepartment of BioHealth Informatics, School of Informatics and Computing, Walker Plaza Building, Indiana University-Purdue University Indianapolis, 719 Indiana Avenue, Suite 319, Indianapolis, IN 46202, USA; Department of Medical and Molecular Genetics, Medical Research and Library Building, Indiana University School of Medicine, 975 West Walnut Street, Indianapolis, IN 46202, USA; Centre for Computational Biology and Bioinformatics, 5021 Health Information and Translational Sciences, Indiana University School of Medicine, 410 West 10th Street, Indianapolis, IN 46202, USA. Electronic address: scjanga@iupui.edu.
Walker (United States) · US

Funding

Mapping RNA protein interaction networks in the human genomeR01GM123314 · NIGMS · INDIANA UNIVERSITY INDIANAPOLIS · PI JANGA, SARATH CHANDRA · 2017 to 2021
$1.7M
NIGMS NIH HHS R01 GM123314
6 · The paper itself

Abstract

Innovations in epitranscriptomics have resulted in the identification of more than 160 RNA modifications to date. These developments, together with the recent discovery of writers, readers, and erasers of modifications occurring across a wide range of RNAs and tissue types, have led to a surge in integrative approaches for transcriptome-wide mapping of modifications and protein-RNA interaction profiles of epitranscriptome players. RNA modification maps and crosstalk between them have begun to elucidate the role of modifications as signaling switches, entertaining the notion of an epitranscriptomic code as a driver of the post-transcriptional fate of RNA. Emerging single-molecule sequencing technologies and development of antibodies specific to various RNA modifications could enable charting of transcript-specific epitranscriptomic marks across cell types and their alterations in disease.

Indexed as

Epigenesis, GeneticRNA Processing, Post-TranscriptionalTranscriptomeCardiovascular DiseasesCongenital AbnormalitiesHigh-Throughput Nucleotide SequencingHumansMetabolic DiseasesMethylationMitochondrial DiseasesNeoplasmsNervous System DiseasesPurine NucleotidesPyrimidine NucleotidesRNAPurine NucleotidesPyrimidine NucleotidesRNAnext-generation sequencingpost-transcriptional regulationregulatory networksRNA metabolismRNA modifications

Identifiers

PMID30120023
PMCPMC6168408
OpenAlexW2886338523

What OpenQuestion holds

Textmetadata
LicenceTDM
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.