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Transcriptomic responses of water buffalo liver to infection with the digenetic fluke Fasciola gigantica

Overview of attention for article published in Parasites & Vectors, February 2017
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Title
Transcriptomic responses of water buffalo liver to infection with the digenetic fluke Fasciola gigantica
Published in
Parasites & Vectors, February 2017
DOI 10.1186/s13071-017-1990-2
Pubmed ID
Authors

Fu-Kai Zhang, Xiao-Xuan Zhang, Hany M. Elsheikha, Jun-Jun He, Zhao-An Sheng, Wen-Bin Zheng, Jian-Gang Ma, Wei-Yi Huang, Ai-Jiang Guo, Xing-Quan Zhu

Abstract

Fasciola gigantica, the tropical liver fluke, infects buffaloes in Asian and African countries and causes significant economic losses and poses public health threat in these countries. However, little is known of the transcriptional response of buffaloes to infection with F. gigantica. The objective of the present study was to perform the first transcriptomic analysis of buffalo liver infected by F. gigantica. Understanding the mechanisms that underpin F. gigantica infection in buffaloes will contribute to our ability to control this parasite. We challenged buffaloes with 500 viable F. gigantica metacercariae and collected liver samples through a time course at 3, 42 and 70 days post-infection (dpi). Then, we performed gene expression analysis on liver samples using RNA sequencing (RNA-Seq) Illumina technology and confirmed the RNA-Seq data by quantitative RT-PCR analysis. Totals of 496, 880 and 441 differentially expressed transcripts were identified in the infected livers at 3, 42 and 70 dpi, respectively. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis revealed that transcriptional changes in the liver of infected buffaloes evolve over the course of infection. The predominant response of buffaloes to infection was mediated by certain pathways, such as MHC antigen processing and presentation, Toll-like receptor 4 (TLR4), transforming growth factor beta (TGF-β), and the cytochrome P450. Hepatic drug metabolizing enzymes and bile secretion were also affected. Fasciola gigantica can induce statistically significant and biologically plausible differences in the hepatic gene expression of infected buffaloes. These findings provide new insights into the response of buffaloes to F. gigantica over the course of infection, which may be useful in determining pathways that can modulate host-parasite interaction and thus potentially important for clearance of the parasite.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Uruguay 1 6%
Unknown 17 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 28%
Student > Master 3 17%
Professor 2 11%
Professor > Associate Professor 2 11%
Student > Bachelor 1 6%
Other 1 6%
Unknown 4 22%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 7 39%
Biochemistry, Genetics and Molecular Biology 3 17%
Agricultural and Biological Sciences 3 17%
Economics, Econometrics and Finance 1 6%
Unknown 4 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 02 February 2017.
All research outputs
#17,873,766
of 22,950,943 outputs
Outputs from Parasites & Vectors
#3,837
of 5,483 outputs
Outputs of similar age
#293,559
of 420,361 outputs
Outputs of similar age from Parasites & Vectors
#85
of 139 outputs
Altmetric has tracked 22,950,943 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,483 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 22nd percentile – i.e., 22% 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 420,361 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 139 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.