Evidence map›Paper›PMID 30076202›Full record

ArticleGenetics2018

Spatial Vulnerabilities of the

Xiaolong Zhang, Xuehong Zhang, Xia Zhang, Yuwei Liao, Luyao Song, Qingzheng Zhang, Peiying Li, Jichao Tian, Yanyan Shao, Aisha Mohammed Ai-Dherasi and 9 more

Open access · bronzeAbstract read
In one paragraph

Article in Genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 26% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Mutation bias and adaptation in bacteria.Microbiology (Reading, England) · 2023
    Review
  3. Article
  4. 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

19 authors at 3 institutions in 2 countries.

Xiaolong ZhangCenter of Genome and Personalized Medicine, Institute of Cancer Stem Cell, Dalian Medical University, Liaoning 116044, China.
Xuehong ZhangCenter of Genome and Personalized Medicine, Institute of Cancer Stem Cell, Dalian Medical University, Liaoning 116044, China.
Xia ZhangCenter of Genome and Personalized Medicine, Institute of Cancer Stem Cell, Dalian Medical University, Liaoning 116044, China.
Yuwei LiaoCenter of Genome and Personalized Medicine, Institute of Cancer Stem Cell, Dalian Medical University, Liaoning 116044, China.
Luyao SongCenter of Genome and Personalized Medicine, Institute of Cancer Stem Cell, Dalian Medical University, Liaoning 116044, China.
Qingzheng ZhangCenter of Genome and Personalized Medicine, Institute of Cancer Stem Cell, Dalian Medical University, Liaoning 116044, China.
Peiying LiCenter of Genome and Personalized Medicine, Institute of Cancer Stem Cell, Dalian Medical University, Liaoning 116044, China.
Jichao TianCenter of Genome and Personalized Medicine, Institute of Cancer Stem Cell, Dalian Medical University, Liaoning 116044, China.
Yanyan ShaoCenter of Genome and Personalized Medicine, Institute of Cancer Stem Cell, Dalian Medical University, Liaoning 116044, China.
Aisha Mohammed Ai-DherasiCenter of Genome and Personalized Medicine, Institute of Cancer Stem Cell, Dalian Medical University, Liaoning 116044, China.
Yulong LiCenter of Genome and Personalized Medicine, Institute of Cancer Stem Cell, Dalian Medical University, Liaoning 116044, China.
Ruimei LiuCenter of Genome and Personalized Medicine, Institute of Cancer Stem Cell, Dalian Medical University, Liaoning 116044, China.
Tao ChenDivision of Genetic and Molecular Toxicology, National Center for Toxicological Research, Food and Drug Administration, Jefferson, Arkansas 72079.
Xiaodi DengCenter of Genome and Personalized Medicine, Institute of Cancer Stem Cell, Dalian Medical University, Liaoning 116044, China.
Yu ZhangCenter of Genome and Personalized Medicine, Institute of Cancer Stem Cell, Dalian Medical University, Liaoning 116044, China.
Dekang LvCenter of Genome and Personalized Medicine, Institute of Cancer Stem Cell, Dalian Medical University, Liaoning 116044, China dekanglv@dmu.edu.cn xyzhaoj@163.com chenjundl@vip.sina.com zhiguangli2013@126.com.
Jie ZhaoSchool of Medicine, Dalian Medical University, Liaoning 116044, China dekanglv@dmu.edu.cn xyzhaoj@163.com chenjundl@vip.sina.com zhiguangli2013@126.com.
Jun ChenThe Second Hospital of Dalian Medical University, Liaoning 116023, China dekanglv@dmu.edu.cn xyzhaoj@163.com chenjundl@vip.sina.com zhiguangli2013@126.com.
Zhiguang LiCenter of Genome and Personalized Medicine, Institute of Cancer Stem Cell, Dalian Medical University, Liaoning 116044, China dekanglv@dmu.edu.cn xyzhaoj@163.com chenjundl@vip.sina.com zhiguangli2013@126.com.
Dalian Medical University · CNNational Center for Toxicological Research · USSecond Affiliated Hospital of Dalian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Investigation of spontaneous mutations by next-generation sequencing technology has attracted extensive attention lately due to the fundamental roles of spontaneous mutations in evolution and pathological processes. However, these studies only focused on the mutations accumulated through many generations during long-term (possibly be years of) culturing, but not the freshly generated mutations that occur at very low frequencies. In this study, we established a molecularly barcoded deep sequencing strategy to detect low abundant spontaneous mutations in genomes of bacteria cell cultures. Genome-wide spontaneous mutations in 15

Indexed as

Genome, BacterialMutation RateEscherichia coliGenetic LociModels, GeneticSequence Analysis, DNAbinomial distributionduplex sequencingEscherichia colihotspotspontaneous mutations

Identifiers

PMID30076202
PMCPMC6216599
OpenAlexW2894872846

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.