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Transcriptomic Analysis on Responses of Murine Lungs to Pasteurella multocida Infection

Overview of attention for article published in Frontiers in Cellular and Infection Microbiology, June 2017
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4 X users

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Title
Transcriptomic Analysis on Responses of Murine Lungs to Pasteurella multocida Infection
Published in
Frontiers in Cellular and Infection Microbiology, June 2017
DOI 10.3389/fcimb.2017.00251
Pubmed ID
Authors

Chenlu Wu, Xiaobin Qin, Pan Li, Tingting Pan, Wenkai Ren, Nengzhang Li, Yuanyi Peng

Abstract

Pasteurella multocida infection in cattle causes serious epidemic diseases and leads to great economic losses in livestock industry; however, little is known about the interaction between host and P. multocida in the lungs. To explore a fully insight into the host responses in the lungs during P. multocida infection, a mouse model of Pasteurella pneumonia was established by intraperitoneal infection, and then transcriptomic analysis of infected lungs was performed. P. multocida localized and grew in murine lungs, and induced inflammation in the lungs, as well as mice death. With transcriptomic analysis, approximately 10(7) clean reads were acquired. 4236 differently expressed genes (DEGs) were detected during P. multocida infection, of which 1924 DEGs were up-regulated. By gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) enrichments, 5,303 GO enrichments and 116 KEGG pathways were significantly enriched in the context of P. multocida infection. Interestingly, genes related to immune responses, such as pattern recognition receptors (PRRs), chemokines and inflammatory cytokines, were significantly up-regulated, suggesting the key roles of these genes in P. multocida infection. Transcriptomic data showed that IFN-γ/IL-17-related genes were increased, which were validated by qRT-PCR, ELISA, and immunoblotting. Our study characterized the transcriptomic profile of the lungs in mice upon Pasteurella infection, and our findings could provide valuable information with respect to better understanding the responses in mice during P. multocida infection.

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X Demographics

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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 17%
Student > Bachelor 2 8%
Student > Master 2 8%
Professor > Associate Professor 2 8%
Researcher 2 8%
Other 3 13%
Unknown 9 38%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 4 17%
Agricultural and Biological Sciences 4 17%
Unspecified 1 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Business, Management and Accounting 1 4%
Other 3 13%
Unknown 10 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 20 June 2017.
All research outputs
#13,482,918
of 22,981,247 outputs
Outputs from Frontiers in Cellular and Infection Microbiology
#2,200
of 6,474 outputs
Outputs of similar age
#159,710
of 316,825 outputs
Outputs of similar age from Frontiers in Cellular and Infection Microbiology
#70
of 183 outputs
Altmetric has tracked 22,981,247 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,474 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 65% of its peers.
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 316,825 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 183 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.