Evidence map›Paper›PMID 28515790›Full record

ArticleGut pathogens2017

Comparative genomic analysis reveals genetic features related to the virulence of

Hyun-Jin Koo, Sojin Ahn, Han Young Chung, Suyeon Kim, Kwondo Kim, Sangryeol Ryu, Ju-Hoon Lee, Sang Ho Choi, Heebal Kim

Open access · goldAbstract readCase Reports
In one paragraph

Article in Gut pathogens, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

8 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
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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

9 authors at 2 institutions in 1 country.

Hyun-Jin KooDepartment of Agricultural Biotechnology and Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea.
Sojin AhnInterdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea.
Han Young ChungFood-Borne Pathogen Omics Research Center (FORC), Seoul National University, Seoul, Republic of Korea.
Suyeon KimFood-Borne Pathogen Omics Research Center (FORC), Seoul National University, Seoul, Republic of Korea.
Kwondo KimInterdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea.
Sangryeol RyuFood-Borne Pathogen Omics Research Center (FORC), Seoul National University, Seoul, Republic of Korea.
Ju-Hoon LeeFood-Borne Pathogen Omics Research Center (FORC), Seoul National University, Seoul, Republic of Korea.
Sang Ho ChoiFood-Borne Pathogen Omics Research Center (FORC), Seoul National University, Seoul, Republic of Korea.
Heebal KimDepartment of Agricultural Biotechnology and Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea.
Seoul National University · KRKyung Hee University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background

resultsWe fully assembled the single circular chromosome (5,418,913 bp) and one plasmid (259,749 bp); 5511 open reading frames (ORFs) and 283 ORFs were predicted for the chromosome and plasmid, respectively. Moreover, we detected that the enterotoxin (NHE, HBL, CytK) induces food-borne illness with diarrheal symptom, and that the pleiotropic regulator, along with other virulence factors, plays a role in surviving and biofilm formation. Through comparative analysis using the complete genome sequence of

conclusionsThrough genome analysis of

Indexed as

Bacillus cereusComparative genomicsPositive selectionUnique genesVirulence

Identifiers

PMID28515790
PMCPMC5433235
OpenAlexW2612992285

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.