Evidence map›Paper›PMID 22190744›Full record

ArticleRNA (New York, N.Y.)2012

Probing the substrate specificity of the bacterial Pnkp/Hen1 RNA repair system using synthetic RNAs.

Can Zhang, Chio Mui Chan, Pei Wang, Raven H Huang

Open access · bronzeAbstract 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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.5field-weighted citation impact, top 33% 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

9 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Structure and two-metal mechanism of a eukaryal nick-sealing RNA ligase.Proceedings of the National Academy of Sciences of the United States of America · 2015
    Article
  6. Article
  7. Article
  8. Article
  9. Molecular basis of bacterial protein Hen1 activating the ligase activity of bacterial protein Pnkp for RNA repair.Proceedings of the National Academy of Sciences of the United States of America · 2012
    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 at 1 institution in 1 country.

Can ZhangDepartment of Biochemistry, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.
Chio Mui Chan
Pei Wang
Raven H Huang
University of Illinois Urbana-Champaign · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ribotoxins cleave essential RNAs involved in protein synthesis as a strategy for cell killing. RNA repair systems exist in nature to counteract the lethal actions of ribotoxins, as first demonstrated by the RNA repair system from bacteriophage T4 25 yr ago. Recently, we found that two bacterial proteins, named Pnkp and Hen1, form a stable complex and are able to repair ribotoxin-cleaved tRNAs in vitro. However, unlike the well-studied T4 RNA repair system, the natural RNA substrates of the bacterial Pnkp/Hen1 RNA repair system are unknown. Here we present comprehensive RNA repair assays with the recombinant Pnkp/Hen1 proteins from Anabaena variabilis using a total of 33 different RNAs as substrates that might mimic various damaged forms of RNAs present in living cells. We found that unlike the RNA repair system from bacteriophage T4, the bacterial Pnkp/Hen1 RNA repair system exhibits broad substrate specificity. Based on the experimental data presented here, a model of preferred RNA substrates of the Pnkp/Hen1 repair system is proposed.

Indexed as

Anabaena variabilisBacterial ProteinsRNARNA, BacterialRNA, TransferSequence DeletionSubstrate SpecificityBacterial ProteinsRNARNA, BacterialRNA, Transfer

Identifiers

PMID22190744
PMCPMC3264919
OpenAlexW2155217408

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.