Evidence map›Paper›PMID 32521689›Full record

ArticleToxins2020

mRNA Interferase

Sung-Min Kang, Ji Sung Koo, Chang-Min Kim, Do-Hee Kim, Bong-Jin Lee

Open access · goldAbstract read
In one paragraph

Article in Toxins, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 40% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

5 authors at 2 institutions in 1 country.

Sung-Min KangThe Research Institute of Pharmaceutical Sciences, College of Pharmacy, Seoul National University, Gwanakgu, Seoul 08826, Korea.ORCID 0000-0002-6381-4680
Ji Sung KooThe Research Institute of Pharmaceutical Sciences, College of Pharmacy, Seoul National University, Gwanakgu, Seoul 08826, Korea.
Chang-Min KimThe Research Institute of Pharmaceutical Sciences, College of Pharmacy, Seoul National University, Gwanakgu, Seoul 08826, Korea.
Do-Hee KimCollege of Pharmacy, Jeju National University, Jeju 63243, Korea.
Bong-Jin LeeThe Research Institute of Pharmaceutical Sciences, College of Pharmacy, Seoul National University, Gwanakgu, Seoul 08826, Korea.
Seoul National University · KRJeju National University · KR

Funding

National Research Foundation of Korea 2018R1A2A1A19018526, 2018R1A5A2024425, 2019R1C1C1002128, and 2019R1I1A1A01057713
6 · The paper itself

Abstract

Toxin-antitoxin (TA) systems are prevalent in bacteria and are known to regulate cellular growth in response to stress. As various functions related to TA systems have been revealed, the importance of TA systems are rapidly emerging. Here, we present the crystal structure of putative mRNA interferase BC0266 and report it as a type II toxin MazF. The MazF toxin is a ribonuclease activated upon and during stressful conditions, in which it cleaves mRNA in a sequence-specific, ribosome-independent manner. Its prolonged activity causes toxic consequences to the bacteria which, in turn, may lead to bacterial death. In this study, we conducted structural and functional investigations of

Indexed as

Toxin-Antitoxin SystemsBacillus cereusBacterial ProteinsBacterial ToxinsEndoribonucleasesProtein ConformationRNA, MessengerStructure-Activity RelationshipSubstrate SpecificityBacterial ProteinsBacterial ToxinsEndoribonucleasesRNA, MessengermazFmRNA interferasetoxintoxin–antitoxin systemtype IIX-ray crystallography

Identifiers

PMID32521689
PMCPMC7354611
OpenAlexW3033669620

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.