Evidence map›Paper›PMID 22291204›Full record

ArticleRNA (New York, N.Y.)2012

Widespread RNA 3'-end oligouridylation in mammals.

Yun S Choi, Weronika Patena, Andrew D Leavitt, Michael T McManus

Abstract read
In one paragraph

Article in RNA (New York, N.Y.), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Review
  2. Review
  3. Terminal nucleotidyl transferases (TENTs) in mammalian RNA metabolism.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2018
    Review
  4. Article
  5. The Nefarious Nexus of Noncoding RNAs in Cancer.International journal of molecular sciences · 2018
    Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

4 authors.

Yun S ChoiBiomedical Sciences Graduate Program, University of California, San Francisco, San Francisco, California 94143, USA.
Weronika Patena
Andrew D Leavitt
Michael T McManus

Funding

Research BaseP30DK063720 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KRUMMEL, MATTHEW F · 2003 to 2019
$21.8M
Resolving MicroRNA TargetsR01DA026065 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MCMANUS, MICHAEL T · 2009 to 2010
$765k
NIDA NIH HHS 5R01DA026065NIDA NIH HHS R01 DA026065NIDDK NIH HHS P30 DK063720NIDDK NIH HHS P30DK063720
6 · The paper itself

Abstract

Nontemplated 3'-end oligouridylation of RNA occurs in many species, including humans. Unlike the familiar phenomenon of polyadenylation, nontemplated addition of uridines to RNA is poorly characterized in higher eukaryotes. Recent studies have reported nontemplated 3'-end oligouridylation of small RNAs and mRNAs. Oligouridylation is involved in many aspects of microRNA biology from biogenesis to turnover of the mature species, and it may also mark long mRNAs for degradation by promoting decapping of the protective 5'-cap structure. To determine the prevalence of oligouridylation in higher eukaryotes, we used next-generation sequencing technology to deeply examine the population of small RNAs in human cells. Our data revealed widespread nontemplated nucleotide addition to the 3' ends of many classes of RNA, with short stretches of uridine being the most frequently added nucleotide.

Indexed as

RNA 3' End ProcessingAnimalsCell LineHumansIntronsMammalsMicroRNAsRNARNA SplicingTranscription Initiation SiteUridineMicroRNAsRNAUridine

Identifiers

PMID22291204
PMCPMC3285928

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.