Evidence map›Paper›PMID 32483315›Full record

ReviewNature reviews. Molecular cell biology2020

A tale of non-canonical tails: gene regulation by post-transcriptional RNA tailing.

Sha Yu, V Narry Kim

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Molecular cell biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 94 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
94citing papers in PubMed, 1 pooled it
6.4field-weighted citation impact, top 2% 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

94 citing papers in PubMed, 1 synthesis or guideline pooled it, 134 citations in OpenAlex.

  1. Pooled it
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  16. Target-Directed miRNA Degradation: Mechanisms and Significance.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  17. Article
  18. Poly(A) tail regulation in stem cells and early development.Cell regeneration (London, England) · 2025
    Review
  19. Article
  20. Article

34 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 2 institutions in 2 countries.

Sha YuCenter for RNA Research, Institute for Basic Science, Seoul, Korea.
V Narry KimCenter for RNA Research, Institute for Basic Science, Seoul, Korea. narrykim@snu.ac.kr.ORCID http://orcid.org/0000-0002-3213-4965
Institute for Basic Science · KRSeoul National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RNA tailing, or the addition of non-templated nucleotides to the 3' end of RNA, is the most frequent and conserved type of RNA modification. The addition of tails and their composition reflect RNA maturation stages and have important roles in determining the fate of the modified RNAs. Apart from canonical poly(A) polymerases, which add poly(A) tails to mRNAs in a transcription-coupled manner, a family of terminal nucleotidyltransferases (TENTs), including terminal uridylyltransferases (TUTs), modify RNAs post-transcriptionally to control RNA stability and activity. The human genome encodes 11 different TENTs with distinct substrate specificity, intracellular localization and tissue distribution. In this Review, we discuss recent advances in our understanding of non-canonical RNA tails, with a focus on the functions of human TENTs, which include uridylation, mixed tailing and post-transcriptional polyadenylation of mRNAs, microRNAs and other types of non-coding RNA.

Indexed as

3' Untranslated RegionsAnimalsGene Expression RegulationHumansMicroRNAsNucleotidyltransferasesPolyadenylationRNARNA, MessengerRNA Processing, Post-TranscriptionalRNA Stability3' Untranslated RegionsMicroRNAsNucleotidyltransferasesRNARNA, Messenger

Identifiers

PMID32483315
OpenAlexW3032039819

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.