Evidence map›Paper›PMID 33344528›Full record

ArticleFrontiers in veterinary science2020

Phosphoproteomics to Characterize Host Response During H3N2 Canine Influenza Virus Infection of Dog Lung.

Yongbo Liu, Cheng Fu, Shaotang Ye, Yingxin Liang, Zhonghe Qi, Congwen Yao, Zhen Wang, Ji Wang, Siqi Cai, Shiyu Tang and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in veterinary science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 45% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

12 authors at 3 institutions in 1 country.

Yongbo LiuCollege of Veterinary Medicine, South China Agricultural University, Guangzhou, China.
Cheng FuCollege of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, China.
Shaotang YeCollege of Veterinary Medicine, South China Agricultural University, Guangzhou, China.
Yingxin LiangCollege of Veterinary Medicine, South China Agricultural University, Guangzhou, China.
Zhonghe QiCollege of Veterinary Medicine, South China Agricultural University, Guangzhou, China.
Congwen YaoCollege of Veterinary Medicine, South China Agricultural University, Guangzhou, China.
Zhen WangCollege of Veterinary Medicine, South China Agricultural University, Guangzhou, China.
Ji WangCollege of Veterinary Medicine, South China Agricultural University, Guangzhou, China.
Siqi CaiCollege of Veterinary Medicine, South China Agricultural University, Guangzhou, China.
Shiyu TangCollege of Veterinary Medicine, South China Agricultural University, Guangzhou, China.
Ying ChenCollege of Veterinary Medicine, South China Agricultural University, Guangzhou, China.
Shoujun LiCollege of Veterinary Medicine, South China Agricultural University, Guangzhou, China.
South China Agricultural University · CNGuangdong Provincial Center for Disease Control and Prevention · CNZhongkai University of Agriculture and Engineering · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Avian-origin H3N2 canine influenza viruses (CIVs) cause severe contagious respiratory disease in dogs, and quickly adapt to new environments. To further understand the mechanism of virus infection and host-virus interactions, we characterized the complete phosphoproteome of dogs infected with H3N2 CIV. Nine-week-old Beagle dogs were inoculated intranasally with 10

Indexed as

canine influenzadoggoH3N2KEGGphosphoproteomics

Identifiers

PMID33344528
PMCPMC7744373
OpenAlexW3108071616

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.