Evidence map›Paper›PMID 29463900›Full record

ReviewCell research2018

Modifications and functional genomics of human transfer RNA.

Tao Pan

Open access · hybridAbstract readReview
In one paragraph

Review in Cell research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 247 papers.

0numbers the graph read from it
0cells of the map it votes in
247citing papers in PubMed
16.2field-weighted citation impact, top 1% 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

247 citing papers in PubMed, 418 citations in OpenAlex.

  1. Article
  2. Thermophysical Properties of a tRNA Isodecoder.The journal of physical chemistry. B · 2026
    Article
  3. Review
  4. Article
  5. TRMT1-mediated tRNA mCell death & disease · 2026
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. RNA modification systems as therapeutic targets.Nature reviews. Drug discovery · 2026
    Review
  18. Article
  19. Review
  20. Article

187 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

1 author at 1 institution in 1 country.

Tao PanDepartment of Biochemistry and Molecular Biology, University of Chicago, Chicago, IL, 60637, USA. taopan@uchicago.edu.
University of Chicago · US

Funding

Mis-translation as a new mechanism of stress response in biologyDP1GM105386 · NIGMS · UNIVERSITY OF CHICAGO · PI PAN, TAO · 2012 to 2015
$3.1M
NIGMS NIH HHS DP1 GM105386
6 · The paper itself

Abstract

Transfer RNA (tRNA) is present at tens of millions of transcripts in a human cell and is the most abundant RNA in moles among all cellular RNAs. tRNA is also the most extensively modified RNA with, on an average, 13 modifications per molecule. The primary function of tRNA as the adaptor of amino acids and the genetic code in protein synthesis is well known. tRNA modifications play multi-faceted roles in decoding and other cellular processes. The abundance, modification, and aminoacylation (charging) levels of tRNAs contribute to mRNA decoding in ways that reflect the cell type and its environment; however, how these factors work together to maximize translation efficiency remains to be understood. tRNAs also interact with many proteins not involved in translation and this may coordinate translation activity and other processes in the cell. This review focuses on the modifications and the functional genomics of human tRNA and discusses future perspectives on the explorations of human tRNA biology.

Indexed as

RNA Processing, Post-TranscriptionalAcylationAminationAnimalsBase SequenceGenomicsHumansMethylationRNA, TransferRNA, Transfer

Identifiers

PMID29463900
PMCPMC5939049
OpenAlexW2792897553

What OpenQuestion 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 OpenQuestion graph.