Evidence map›Paper›PMID 26750429›Full record

ArticleScientific reports2016

Global Transcriptomic Analysis of Interactions between Pseudomonas aeruginosa and Bacteriophage PaP3.

Xia Zhao, Canhuang Chen, Wei Shen, Guangtao Huang, Shuai Le, Shuguang Lu, Ming Li, Yan Zhao, Jing Wang, Xiancai Rao and 6 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
5.2field-weighted citation impact, top 5% 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

40 citing papers in PubMed, 57 citations in OpenAlex.

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  13. Impact of phage predation onRNA biology · 2023
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  19. Phages from GenusViruses · 2021
    Article
  20. Review
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

16 authors at 2 institutions in 1 country.

Xia ZhaoDepartment of Microbiology, Third Military Medical University, Chongqing, 400038, China.
Canhuang ChenNo. 180 Hospital of PLA, Quanzhou City, Fujian Province, 362000, China.
Wei ShenDepartment of Microbiology, Third Military Medical University, Chongqing, 400038, China.
Guangtao HuangInstitute of Burn Research, Southwest Hospital, Third Military Medical University, Chongqing, 400038, China.
Shuai LeDepartment of Microbiology, Third Military Medical University, Chongqing, 400038, China.
Shuguang LuDepartment of Microbiology, Third Military Medical University, Chongqing, 400038, China.
Ming LiDepartment of Microbiology, Third Military Medical University, Chongqing, 400038, China.
Yan ZhaoDepartment of Microbiology, Third Military Medical University, Chongqing, 400038, China.
Jing WangDepartment of Microbiology, Third Military Medical University, Chongqing, 400038, China.
Xiancai RaoDepartment of Microbiology, Third Military Medical University, Chongqing, 400038, China.
Gang LiDepartment of Microbiology, Third Military Medical University, Chongqing, 400038, China.
Mengyu ShenDepartment of Microbiology, Third Military Medical University, Chongqing, 400038, China.
Keke GuoDepartment of Microbiology, Third Military Medical University, Chongqing, 400038, China.
Yuhui YangDepartment of Microbiology, Third Military Medical University, Chongqing, 400038, China.
Yinling TanDepartment of Microbiology, Third Military Medical University, Chongqing, 400038, China.
Fuquan HuDepartment of Microbiology, Third Military Medical University, Chongqing, 400038, China.
Army Medical University · CNThe 180th Hospital of PLA · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The interactions between Bacteriophage (phage) and host bacteria are widespread in nature and influences of phage replication on the host cells are complex and extensive. Here, we investigate genome-wide interactions of Pseudomonas aeruginosa (P. aeruginosa) and its temperate phage PaP3 at five time points during phage infection. Compared to the uninfected host, 38% (2160/5633) genes of phage-infected host were identified as differentially expressed genes (DEGs). Functional analysis of the repressed DEGs revealed infection-stage-dependent pathway communications. Based on gene co-expression analysis, most PaP3 middle genes were predicted to have negative impact on host transcriptional regulators. Sub-network enrichment analysis revealed that adjacent genes of PaP3 interacted with the same host genes and might possess similar functions. Finally, our results suggested that during the whole infection stage, the early genes of PaP3 had stronger regulatory role in host gene expression than middle and late genes, while the host genes involved amino acid metabolism were the most "vulnerable" targets of these phage genes. This work provides the basis for understanding survival mechanisms of parasites and host, and seeking phage gene products that could potentially be used in anti-bacterial infection.

Indexed as

Gene Expression ProfilingGene Expression Regulation, BacterialGene Expression Regulation, ViralTranscriptomeAmino AcidsBacteriophagesCluster AnalysisGene Regulatory NetworksGenome, BacterialGenome, ViralHost-Pathogen InteractionsMetabolic Networks and PathwaysPseudomonas aeruginosaTranscription FactorsAmino AcidsTranscription Factors

Identifiers

PMID26750429
PMCPMC4707531
OpenAlexW2236472218

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Registered trials

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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.