Evidence map›Paper›PMID 33877415›Full record

ArticleApplied microbiology and biotechnology2021

Characterization of DinJ-YafQ toxin-antitoxin module in Tetragenococcus halophilus: activity, interplay, and evolution.

Xiaotong Luo, Jieting Lin, Junwei Yan, Xiaoxian Kuang, Hantao Su, Weifeng Lin, Lixin Luo

Abstract read
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In one paragraph

Article in Applied microbiology and biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 27% 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, 7 citations in OpenAlex.

  1. Article
  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

7 authors at 1 institution in 1 country.

Xiaotong LuoSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou, 510006, People's Republic of China.
Jieting LinSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou, 510006, People's Republic of China.
Junwei YanSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou, 510006, People's Republic of China.
Xiaoxian KuangSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou, 510006, People's Republic of China.
Hantao SuSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou, 510006, People's Republic of China.
Weifeng LinSchool of Food Science and Engineering, South China University of Technology, Guangzhou, 510006, People's Republic of China.
Lixin LuoSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou, 510006, People's Republic of China. btlxluo@scut.edu.cn.ORCID http://orcid.org/0000-0003-0880-0144
South China University of Technology · CN

Funding

National Natural Science Foundation of China 31271924National Natural Science Foundation of China 31771962
6 · The paper itself

Abstract

Tetragenococcus halophilus is a moderately halophilic lactic acid bacterium widely used in high-salt food fermentation because of its coping ability under various stress conditions. Bacterial toxin-antitoxin (TA) modules are widely distributed and play important roles in stress response, but those specific for genus Tetragenococcus have never been explored. Here, a bona fide TA module named DinJ

Indexed as

AntitoxinsBacterial ToxinsEscherichia coli ProteinsEnterococcaceaeEscherichia coliAntitoxinsBacterial ToxinsDinJ protein, E coliEscherichia coli ProteinsYafQ protein, E coliDinJ-YafQEvolutionInterplayTetragenococcus halophilusToxin–antitoxin system

Identifiers

PMID33877415
OpenAlexW3154272459

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.