Evidence map›Paper›PMID 33317063›Full record

ArticleGenes2020

DetR DB: A Database of Ionizing Radiation Resistance Determinants.

Alina Ryabova, Olga Kozlova, Azat Kadirov, Anastasiia Ananeva, Oleg Gusev, Elena Shagimardanova

Abstract readDataset
In one paragraph

Article in Genes, 2020. 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
–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

3 citing papers in PubMed.

  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

6 authors.

Alina RyabovaInstitute of Fundamental Medicine and Biology, Kazan Federal University, Kazan 420008, Russia.ORCID 0000-0001-8890-1441
Olga KozlovaInstitute of Fundamental Medicine and Biology, Kazan Federal University, Kazan 420008, Russia.
Azat KadirovInstitute of Fundamental Medicine and Biology, Kazan Federal University, Kazan 420008, Russia.ORCID 0000-0001-6279-5994
Anastasiia AnanevaInstitute of Fundamental Medicine and Biology, Kazan Federal University, Kazan 420008, Russia.ORCID 0000-0002-8069-7244
Oleg GusevInstitute of Fundamental Medicine and Biology, Kazan Federal University, Kazan 420008, Russia.ORCID 0000-0002-6203-9758
Elena ShagimardanovaInstitute of Fundamental Medicine and Biology, Kazan Federal University, Kazan 420008, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nuclear pollution is an urgent environmental issue and is a consequence of rapid industrialization and nuclear accidents in the past. Remediation of nuclear polluted sites using microbial vital activity (bioremediation) is a promising approach to recover contaminated areas in an environmentally friendly and cost-saving way. At the same time, the number of known bacterial and archaeal species able to withstand extremely high doses of ionizing radiation (IR) is steadily growing every year, together with growing knowledge about mechanisms of radioresistance that opens up opportunities for developing new biotechnological solutions. However, these data are often not systemized, and can be difficult to access. Here, we present the Determinants of Radioresistance Database, or DetR DB, gathering a comprehensive catalog of radioresistant microbes and their molecular and genetic determinants of enhanced IR tolerance. The database provides search tools, including taxonomy, common gene name, and BLAST. DetR DB will be a useful tool for the research community by facilitating the extraction of the necessary information to help further analysis of radiation-resistant mechanisms.

Indexed as

Databases, FactualArchaeaBacteriaBiodegradation, EnvironmentalEnvironmental PollutantsRadiation, IonizingRadiation ToleranceEnvironmental Pollutantsgenetic mechanismsionizing radiationmicroorganismsradiation resistance

Identifiers

PMID33317063
PMCPMC7764150

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.