Evidence map›Paper›PMID 29348862›Full record

ArticleOncotarget2017

Digital gene expression analysis in mice lung with coinfection of influenza and streptococcus pneumoniae.

Jun Luo, Linlin Zhou, Hongren Wang, Zhen Qin, Li Xiang, Jie Zhu, Xiaojun Huang, Yuan Yang, Wanyi Li, Baoning Wang and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 51% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

11 authors at 2 institutions in 1 country.

Jun LuoDepartment of Microbiology, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu 610041, China.
Linlin ZhouDepartment of Microbiology, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu 610041, China.
Hongren WangDepartment of Microbiology, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu 610041, China.
Zhen QinDepartment of Microbiology, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu 610041, China.
Li XiangDepartment of Microbiology, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu 610041, China.
Jie ZhuDepartment of Microbiology, Guizhou Medical University, Guiyang 550004, China.
Xiaojun HuangDepartment of Microbiology, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu 610041, China.
Yuan YangDepartment of Microbiology, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu 610041, China.
Wanyi LiDepartment of Microbiology, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu 610041, China.
Baoning WangDepartment of Microbiology, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu 610041, China.
Mingyuan LiDepartment of Microbiology, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu 610041, China.
West China Medical Center of Sichuan University · CNGuiyang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Influenza A virus (IAV) and Streptococcus pneumoniae (SP) are two major upper respiratory tract pathogens that can also cause infection in polarized bronchial epithelial cells to exacerbate disease in coinfected individuals which may result in significant morbidity. However, the underlying molecular mechanism is poorly understood. Here, we employed BALB/c ByJ mice inflected with SP, IAV, IAV followed by SP (IAV+SP) and PBS (Control) as models to survey the global gene expression using digital gene expression (DGE) profiling. We attempt to gain insights into the underlying genetic basis of this synergy at the expression level. Gene expression profiles were obtain using the Illimina/Hisseq sequencing technique, and further analyzed by enrichment analysis of Gene Ontology (GO) and Pathway function. The hematoxylin-eosin (HE) staining revealed different tissue changes in groups during which IAV+SP group showed the most severe cell apoptosis. Compared with Control, a total of 2731, 3221 and 3946 differentially expressed genes (DEGs) were detected in SP, IAV and IAV+SP respectively. Besides, sixty-two GO terms were identified by Gene Ontology functional enrichment analysis, such as cell killing, biological regulation, response to stimulus, signaling, biological adhesion, enzyme regulator activity, receptor regulator activity and translation regulator activity. Pathway significant enrichment analysis indicated the dysregulation of multiple pathways, including apoptosis pathway. Among these, five selected genes were further verified by quantitative reverse transcription-polymerase chain reaction (qRT-PCR). This study shows that infection with SP, IAV or IAV+SP induces apoptosis with different degrees which might provide insights into the molecular mechanisms to facilitate further research.

Indexed as

apoptosisdigital gene expressioninfluenza A virusstreptococcus pneumoniae

Identifiers

PMID29348862
PMCPMC5762547
OpenAlexW2774904705

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.