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<objIdentifier>datacite____::2e16bf224c0544ff0c801028e9205462</objIdentifier>
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<dateOfCollection>2017-02-16T12:15:01.524Z</dateOfCollection>
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<language classid="und" classname="Undetermined" schemeid="dnet:languages"
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<dateofacceptance>2017-01-01</dateofacceptance>
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schemename="dnet:result_typologies"/>
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<publisher>Figshare</publisher>
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<title classid="main title" classname="main title" schemeid="dnet:dataCite_title"
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schemename="dnet:dataCite_title">Transcriptomic responses of water buffalo liver
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to infection with the digenetic fluke Fasciola gigantica</title>
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>food and beverages</subject>
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schemeid="dnet:subject_classification_typologies"
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schemename="dnet:subject_classification_typologies">Microbiology</subject>
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schemename="dnet:subject_classification_typologies">Computational
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schemename="dnet:subject_classification_typologies">Virology</subject>
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schemename="dnet:subject_classification_typologies">Genetics</subject>
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schemename="dnet:subject_classification_typologies">Infectious
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Diseases</subject>
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trust="0.8397">parasitic diseases</subject>
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<subject classid="mesheuropmc" classname="mesheuropmc"
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schemeid="dnet:subject_classification_typologies"
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schemename="dnet:subject_classification_typologies" inferred="true"
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inferenceprovenance="iis::document_classes" provenanceaction="iis"
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trust="0.7461">animal diseases</subject>
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<subject classid="keyword" classname="keyword"
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schemeid="dnet:subject_classification_typologies"
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schemename="dnet:subject_classification_typologies">Cancer</subject>
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<relevantdate classid="UNKNOWN" classname="UNKNOWN" schemeid="dnet:dataCite_date"
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schemename="dnet:dataCite_date">2017-02-01</relevantdate>
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<format/>
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<lastmetadataupdate>2017-02-01</lastmetadataupdate>
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<description>Abstract Background Fasciola gigantica, the tropical liver fluke,
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infects buffaloes in Asian and African countries and causes significant economic
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losses and poses public health threat in these countries. However, little is
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known of the transcriptional response of buffaloes to infection with F.
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gigantica. The objective of the present study was to perform the first
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transcriptomic analysis of buffalo liver infected by F. gigantica. Understanding
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the mechanisms that underpin F. gigantica infection in buffaloes will contribute
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to our ability to control this parasite. Methods We challenged buffaloes with
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500 viable F. gigantica metacercariae and collected liver samples through a time
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course at 3, 42 and 70Â days post-infection (dpi). Then, we performed gene
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expression analysis on liver samples using RNA sequencing (RNA-Seq) Illumina
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technology and confirmed the RNA-Seq data by quantitative RT-PCR analysis.
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Results Totals of 496, 880 and 441 differentially expressed transcripts were
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identified in the infected livers at 3, 42 and 70 dpi, respectively. Gene
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Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis
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revealed that transcriptional changes in the liver of infected buffaloes evolve
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over the course of infection. The predominant response of buffaloes to infection
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was mediated by certain pathways, such as MHC antigen processing and
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presentation, Toll-like receptor 4 (TLR4), transforming growth factor beta
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(TGF-β), and the cytochrome P450. Hepatic drug metabolizing enzymes and bile
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secretion were also affected. Conclusions Fasciola gigantica can induce
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statistically significant and biologically plausible differences in the hepatic
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gene expression of infected buffaloes. These findings provide new insights into
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the response of buffaloes to F. gigantica over the course of infection, which
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may be useful in determining pathways that can modulate host-parasite
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interaction and thus potentially important for clearance of the
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parasite.</description>
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schemename="dnet:pid_types">10.6084/m9.figshare.c.3678754</pid>
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>Transcriptomic responses of water buffalo liver to infection with the
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digenetic fluke Fasciola gigantica</title>
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