Evidence map›Paper›PMID 29443978›Full record

ArticleNature chemical biology2018

Distinguishing RNA modifications from noise in epitranscriptome maps.

Anya V Grozhik, Samie R Jaffrey

Abstract read
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In one paragraph

Article in Nature chemical biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.

0numbers the graph read from it
0cells of the map it votes in
63citing 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

63 citing papers in PubMed.

  1. Article
  2. mMolecular medicine reports · 2026
    Review
  3. Review
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  5. Review
  6. Article
  7. Article
  8. Review
  9. Single-cell mNature neuroscience · 2024
    Article
  10. Article
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  12. 2'-RNA (New York, N.Y.) · 2024
    Review
  13. Article
  14. Current progress in strategies to profile transcriptomic mFrontiers in cell and developmental biology · 2024
    Review
  15. Review
  16. MePMe-seq: antibody-free simultaneous mNature communications · 2023
    Article
  17. Article
  18. Article
  19. Review
  20. Article

3 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.

Anya V GrozhikDepartment of Pharmacology, Weill Cornell Medicine, Cornell University, New York, New York, USA.
Samie R JaffreyDepartment of Pharmacology, Weill Cornell Medicine, Cornell University, New York, New York, USA.ORCID 0000-0003-3615-6958

Funding

Clinical and Translational Science CenterUL1TR000457 · NCATS · WEILL MEDICAL COLL OF CORNELL UNIV · PI IMPERATO-MCGINLEY, JULIANNE L · 2012 to 2016
$46.0M
Pathways controlling mRNA translation pathways in dopaminergic neuronsR01DA037755 · NIDA · WEILL MEDICAL COLL OF CORNELL UNIV · PI JAFFREY, SAMIE R · 2014 to 2018
$1.1M
NIH HHS R01DA037755NIH HHS UL1 TR000457
6 · The paper itself

Abstract

Messenger RNA (mRNA) and long noncoding RNA (lncRNA) can be subjected to a variety of post-transcriptional modifications that markedly influence their fate and function. This concept of 'epitranscriptomic' modifications and the understanding of their function has been driven by new technologies for transcriptome-wide mapping of modified nucleotides using next-generation sequencing. Mapping technologies have successfully documented the location and prevalence of several modified nucleotides in the transcriptome. However, some mapping methods have led to proposals of pervasive novel RNA modifications that have subsequently been shown to be exceptionally rare. These controversies have resulted in confusion about the identity of the modified nucleotides comprising the epitranscriptome in mRNA and lncRNA. Here we discuss the different transcriptome-wide technologies for mapping modified nucleotides. We describe why these methods can have poor accuracy and specificity. Finally, we describe emerging strategies that minimize false positives and other pitfalls associated with mapping and measuring epitranscriptomic modifications.

Indexed as

High-Throughput Nucleotide SequencingRNA Processing, Post-TranscriptionalTranscriptomeDNA Mutational AnalysisEpigenesis, GeneticHEK293 CellsHeLa CellsHumansNucleotidesRNARNA, Long NoncodingRNA, MessengerTranscription, GeneticNucleotidesRNARNA, Long NoncodingRNA, Messenger

Identifiers

PMID29443978

What OpenQuestion holds

Textmetadata
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.