Evidence map›Paper›PMID 36959250›Full record

ArticleScientific reports2023

Characterization of radiation-resistance mechanism in Spirosoma montaniterrae DY10

Changyun Cho, Dohoon Lee, Dabin Jeong, Sun Kim, Myung Kyum Kim, Sathiyaraj Srinivasan

Full text read
In one paragraph

Article in Scientific reports, 2023. 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. Radiation-TolerantGenes · 2024
    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.

Changyun ChoInterdisciplinary Program in Bioinformatics, Seoul National University, Seoul, 08826, Republic of Korea.
Dohoon LeeBioinformatics Institute, Seoul National University, Seoul, 08826, Republic of Korea.
Dabin JeongInterdisciplinary Program in Bioinformatics, Seoul National University, Seoul, 08826, Republic of Korea.
Sun KimInterdisciplinary Program in Bioinformatics, Seoul National University, Seoul, 08826, Republic of Korea.
Myung Kyum KimDepartment of Bio & Environmental Technology, College of Natural Science, Seoul Women's University, Seoul, 01797, Republic of Korea. biotech@swu.ac.kr.
Sathiyaraj SrinivasanDepartment of Bio & Environmental Technology, College of Natural Science, Seoul Women's University, Seoul, 01797, Republic of Korea. drsrini@swu.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To respond to the external environmental changes for survival, bacteria regulates expression of a number of genes including transcription factors (TFs). To characterize complex biological phenomena, a biological system-level approach is necessary. Here we utilized six computational biology methods to infer regulatory network and to characterize underlying biologically mechanisms relevant to radiation-resistance. In particular, we inferred gene regulatory network (GRN) and operons of radiation-resistance bacterium Spirosoma montaniterrae DY10[Formula: see text] and identified the major regulators for radiation-resistance. Our results showed that DNA repair and reactive oxygen species (ROS) scavenging mechanisms are key processes and Crp/Fnr family transcriptional regulator works as a master regulatory TF in early response to radiation.

Indexed as

CytophagaceaeTranscription FactorsComputational BiologyGene Expression RegulationGene Regulatory NetworksTranscription Factors

Identifiers

PMID36959250
PMCPMC10036542

What Socratic holds

Textfull text, public
LicenceCC BY
measurements read12
table measurements read4
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 Socratic graph.