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WeightNameValue
1000 Titel
  • Comprehensive Genomic Characterization Analysis of lncRNAs in Cells With Porcine Delta Coronavirus Infection
1000 Autor/in
  1. Liu, Junli |
  2. Wang, Fangfang |
  3. Du, Liuyang |
  4. Li, Juan |
  5. Yu, Tianqi |
  6. Jin, Yulan |
  7. Yan, Yan |
  8. Zhou, Jiyong |
  9. Gu, Jinyan |
1000 Erscheinungsjahr 2020
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2020-01-28
1000 Erschienen in
1000 Quellenangabe
  • 10:3036
1000 Copyrightjahr
  • 2020
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.3389/fmicb.2019.03036 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6999024/ |
1000 Ergänzendes Material
  • https://www.frontiersin.org/articles/10.3389/fmicb.2019.03036/full#S9 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Porcine delta coronavirus (PDCoV) is a novel emerging enterocytetropic virus causing diarrhea, vomiting, dehydration, and mortality in suckling piglets. Long non-coding RNAs (lncRNAs) are known to be important regulators during virus infection. Here, we describe a comprehensive transcriptome profile of lncRNA in PDCoV-infected swine testicular (ST) cells. In total, 1,308 annotated and 1,190 novel lncRNA candidate sequences were identified. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis revealed that these lncRNAs might be involved in numerous biological processes. Clustering analysis of differentially expressed lncRNAs showed that 454 annotated and 376 novel lncRNAs were regulated after PDCoV infection. Furthermore, we constructed a lncRNA-protein-coding gene co-expression interaction network. The KEGG analysis of the co-expressed genes showed that these differentially expressed lncRNAs were enriched in pathways related to metabolism and TNF signaling. Our study provided comprehensive information about lncRNAs that would be a useful resource for studying the pathogenesis of and designing antiviral therapy for PDCoV infection.
1000 Sacherschließung
lokal lncRNA
gnd 1206347392 COVID-19
lokal RNA-seq
lokal TNF
lokal PDCoV infection
lokal metabolic pathway
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/TGl1LCBKdW5saQ==|https://frl.publisso.de/adhoc/uri/V2FuZywgRmFuZ2Zhbmc=|https://frl.publisso.de/adhoc/uri/RHUsIExpdXlhbmc=|https://frl.publisso.de/adhoc/uri/TGksIEp1YW4=|https://frl.publisso.de/adhoc/uri/WXUsIFRpYW5xaQ==|https://frl.publisso.de/adhoc/uri/SmluLCBZdWxhbg==|https://frl.publisso.de/adhoc/uri/WWFuLCBZYW4=|https://frl.publisso.de/adhoc/uri/WmhvdSwgSml5b25n|https://frl.publisso.de/adhoc/uri/R3UsIEppbnlhbg==
1000 Label
1000 Förderer
  1. National Basic Research Program of China (973 Program) |
1000 Fördernummer
  1. 2016YFD0500102
1000 Förderprogramm
  1. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer National Basic Research Program of China (973 Program) |
    1000 Förderprogramm -
    1000 Fördernummer 2016YFD0500102
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6422342.rdf
1000 Erstellt am 2020-08-05T12:23:37.620+0200
1000 Erstellt von 24
1000 beschreibt frl:6422342
1000 Bearbeitet von 25
1000 Zuletzt bearbeitet 2021-02-12T09:41:53.580+0100
1000 Objekt bearb. Fri Feb 12 09:41:53 CET 2021
1000 Vgl. frl:6422342
1000 Oai Id
  1. oai:frl.publisso.de:frl:6422342 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

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