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Transcriptional analysis of immune-related gene expression in p53-deficient mice with increased susceptibility to influenza A virus infection

Overview of attention for article published in BMC Medical Genomics, August 2015
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Title
Transcriptional analysis of immune-related gene expression in p53-deficient mice with increased susceptibility to influenza A virus infection
Published in
BMC Medical Genomics, August 2015
DOI 10.1186/s12920-015-0127-8
Pubmed ID
Authors

Wenjun Yan, Jianchao Wei, Xufang Deng, Zixue Shi, Zixiang Zhu, Donghua Shao, Beibei Li, Shaohui Wang, Guangzhi Tong, Zhiyong Ma

Abstract

p53 is a tumor suppressor that contributes to the host immune response against viral infections in addition to its well-established protective role against cancer development. In response to influenza A virus (IAV) infection, p53 is activated and plays an essential role in inhibiting IAV replication. As a transcription factor, p53 regulates the expression of a range of downstream responsive genes either directly or indirectly in response to viral infection. We compared the expression profiles of immune-related genes between IAV-infected wild-type p53 (p53WT) and p53-deficient (p53KO) mice to gain an insight into the basis of p53-mediated antiviral response. p53KO and p53WT mice were infected with influenza A/Puerto Rico/8/1934 (PR8) strain. Clinical symptoms and body weight changes were monitored daily. Lung specimens of IAV-infected mice were collected for analysis of virus titers and gene expression profiles. The difference in immune-related gene expression levels between IAV-infected p53KO and p53WT mice was comparatively determined using microarray analysis and confirmed by quantitative real-time reverse transcription polymerase chain reaction. p53KO mice showed an increased susceptibility to IAV infection compared to p53WT mice. Microarray analysis of gene expression profiles in the lungs of IAV-infected mice indicated that the increased susceptibility was associated with significantly changed expression levels in a range of immune-related genes in IAV-infected p53KO mice. A significantly attenuated expression of Ifng (encoding interferon (IFN)-gamma), Irf7 (encoding IFN regulator factor 7), and antiviral genes, such as Mx2 and Eif2ak2 (encoding PKR), were observed in IAV-infected p53KO mice, suggesting an impaired IFN-mediated immune response against IAV infection in the absence of p53. In addition, dysregulated expression levels of proinflammatory cytokines and chemokines, such as Ccl2 (encoding MCP-1), Cxcl9, Cxcl10 (encoding IP-10), and Tnf, were detected in IAV-infected p53KO mice during early IAV infection, reflecting an aberrant inflammatory response. Lack of p53 resulted in the impaired expression of genes involved in IFN signaling and the dysregulated expression of cytokine and chemokine genes in IAV-infected mice, suggesting an essential role of p53 in the regulation of antiviral and inflammatory responses during IAV infection.

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The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 28%
Student > Master 5 12%
Student > Ph. D. Student 4 9%
Student > Doctoral Student 3 7%
Student > Bachelor 3 7%
Other 4 9%
Unknown 12 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 19%
Agricultural and Biological Sciences 8 19%
Medicine and Dentistry 6 14%
Immunology and Microbiology 4 9%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 2 5%
Unknown 14 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 April 2016.
All research outputs
#16,721,717
of 25,374,647 outputs
Outputs from BMC Medical Genomics
#1,194
of 2,444 outputs
Outputs of similar age
#157,302
of 277,646 outputs
Outputs of similar age from BMC Medical Genomics
#31
of 61 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,444 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 46th percentile – i.e., 46% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 277,646 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.