Download
Competing endogenous RNA network profiling reveals novel host dependency factors required for MERS CoV propagation.pdf 4,04MB
WeightNameValue
1000 Titel
  • Competing endogenous RNA network profiling reveals novel host dependency factors required for MERS-CoV propagation
1000 Autor/in
  1. Zhang, Xi |
  2. Chu, Hin |
  3. Wen, Lei |
  4. Shuai, Huiping |
  5. Yang, Dong |
  6. Wang, Yixin |
  7. Hou, Yuxin |
  8. Zhu, Zheng |
  9. Yuan, Shuofeng |
  10. Yin, Feifei |
  11. Chan, Jasper Fuk-Woo |
  12. Yuen, Kwok-Yung |
1000 Erscheinungsjahr 2020
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2020-03-30
1000 Erschienen in
1000 Quellenangabe
  • 9(1):733-746
1000 Copyrightjahr
  • 2020
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1080/22221751.2020.1738277 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7170352/ |
1000 Ergänzendes Material
  • https://www.tandfonline.com/doi/suppl/10.1080/22221751.2020.1738277?scroll=top |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Circular RNAs (circRNAs) are an integral component of the host competitive endogenous RNA (ceRNA) network. These noncoding RNAs are characterized by their unique splicing reactions to form covalently closed loop structures and play important RNA regulatory roles in cells. Recent studies showed that circRNA expressions were perturbed in viral infections and circRNAs might serve as potential antiviral targets. We investigated the host ceRNA network changes and biological relevance of circRNAs in human lung adenocarcinoma epithelial (Calu-3) cells infected with the highly pathogenic Middle East respiratory syndrome coronavirus (MERS-CoV). A total of ≥49337 putative circRNAs were predicted. Among the 7845 genes which generated putative circRNAs, 147 (1.9%) of them each generated ≥30 putative circRNAs and were involved in various biological, cellular, and metabolic processes, including viral infections. Differential expression (DE) analysis showed that the proportion of DE circRNAs significantly (P < 0.001) increased at 24 h-post infection. These DE circRNAs were clustered into 4 groups according to their time-course expression patterns and demonstrated inter-cluster and intra-cluster variations in the predicted functions of their host genes. Our comprehensive circRNA-miRNA-mRNA network identified 7 key DE circRNAs involved in various biological processes upon MERS-CoV infection. Specific siRNA knockdown of two selected DE circRNAs (circFNDC3B and circCNOT1) significantly reduced MERS-CoV load and their target mRNA expression which modulates various biological pathways, including the mitogen-activated protein kinase (MAPK) and ubiquitination pathways. These results provided novel insights into the ceRNA network perturbations, biological relevance of circRNAs, and potential host-targeting antiviral strategies for MERS-CoV infection.
1000 Sacherschließung
gnd 1206347392 COVID-19
lokal miRNA
lokal circRNA
lokal MERS-CoV
lokal mRNA
lokal competing endogenous RNA
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/WmhhbmcsIFhp|https://frl.publisso.de/adhoc/uri/Q2h1LCBIaW4=|https://frl.publisso.de/adhoc/uri/V2VuLCBMZWk=|https://frl.publisso.de/adhoc/uri/U2h1YWksIEh1aXBpbmc=|https://frl.publisso.de/adhoc/uri/WWFuZywgRG9uZw==|https://frl.publisso.de/adhoc/uri/V2FuZywgWWl4aW4=|https://frl.publisso.de/adhoc/uri/SG91LCBZdXhpbg==|https://frl.publisso.de/adhoc/uri/Wmh1LCBaaGVuZw==|https://frl.publisso.de/adhoc/uri/WXVhbiwgU2h1b2Zlbmc=|https://frl.publisso.de/adhoc/uri/WWluLCBGZWlmZWk=|https://orcid.org/0000-0001-6336-6657|https://frl.publisso.de/adhoc/uri/WXVlbiwgS3dvay1ZdW5n
1000 Label
1000 Förderer
  1. Michael Seak-Kan Tong |
  2. Respiratory Viral Research Foundation Limited |
  3. Hui Ming |
  4. Hui Hoy and Chow Sin Lan Charity Fund Limited |
  5. Chan Yin Chuen Memorial Charitable Foundation |
  6. Marina Man-Wai Lee |
  7. Hong Kong Hainan Commercial Association |
  8. Research Grants Council, University Grants Committee |
  9. Research Grants Council, University Grants Committee |
  10. Food and Health Bureau |
  11. Sanming Project of Medicine in Shenzhen |
  12. Health and Family Planning Commission of Guangdong Province |
  13. Ministry of Education of the People's Republic of China |
1000 Fördernummer
  1. -
  2. -
  3. -
  4. -
  5. -
  6. -
  7. -
  8. T11/707/15
  9. N_HKU728/14; 81461168030
  10. 16150572
  11. SZSM201911014
  12. -
  13. -
1000 Förderprogramm
  1. -
  2. -
  3. -
  4. -
  5. -
  6. -
  7. South China Microbiology Research Fund
  8. Theme-Based Research Scheme
  9. NSFC/RGC Joint Research Scheme
  10. Hong Kong Health and Medical Research Fund
  11. -
  12. High Level-Hospital Program
  13. Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases
1000 Dateien
  1. Competing endogenous RNA network profiling reveals novel host dependency factors required for MERS-CoV propagation
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Michael Seak-Kan Tong |
    1000 Förderprogramm -
    1000 Fördernummer -
  2. 1000 joinedFunding-child
    1000 Förderer Respiratory Viral Research Foundation Limited |
    1000 Förderprogramm -
    1000 Fördernummer -
  3. 1000 joinedFunding-child
    1000 Förderer Hui Ming |
    1000 Förderprogramm -
    1000 Fördernummer -
  4. 1000 joinedFunding-child
    1000 Förderer Hui Hoy and Chow Sin Lan Charity Fund Limited |
    1000 Förderprogramm -
    1000 Fördernummer -
  5. 1000 joinedFunding-child
    1000 Förderer Chan Yin Chuen Memorial Charitable Foundation |
    1000 Förderprogramm -
    1000 Fördernummer -
  6. 1000 joinedFunding-child
    1000 Förderer Marina Man-Wai Lee |
    1000 Förderprogramm -
    1000 Fördernummer -
  7. 1000 joinedFunding-child
    1000 Förderer Hong Kong Hainan Commercial Association |
    1000 Förderprogramm South China Microbiology Research Fund
    1000 Fördernummer -
  8. 1000 joinedFunding-child
    1000 Förderer Research Grants Council, University Grants Committee |
    1000 Förderprogramm Theme-Based Research Scheme
    1000 Fördernummer T11/707/15
  9. 1000 joinedFunding-child
    1000 Förderer Research Grants Council, University Grants Committee |
    1000 Förderprogramm NSFC/RGC Joint Research Scheme
    1000 Fördernummer N_HKU728/14; 81461168030
  10. 1000 joinedFunding-child
    1000 Förderer Food and Health Bureau |
    1000 Förderprogramm Hong Kong Health and Medical Research Fund
    1000 Fördernummer 16150572
  11. 1000 joinedFunding-child
    1000 Förderer Sanming Project of Medicine in Shenzhen |
    1000 Förderprogramm -
    1000 Fördernummer SZSM201911014
  12. 1000 joinedFunding-child
    1000 Förderer Health and Family Planning Commission of Guangdong Province |
    1000 Förderprogramm High Level-Hospital Program
    1000 Fördernummer -
  13. 1000 joinedFunding-child
    1000 Förderer Ministry of Education of the People's Republic of China |
    1000 Förderprogramm Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases
    1000 Fördernummer -
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6420779.rdf
1000 Erstellt am 2020-05-12T08:24:10.500+0200
1000 Erstellt von 21
1000 beschreibt frl:6420779
1000 Bearbeitet von 21
1000 Zuletzt bearbeitet 2020-05-12T09:02:14.676+0200
1000 Objekt bearb. Tue May 12 09:02:03 CEST 2020
1000 Vgl. frl:6420779
1000 Oai Id
  1. oai:frl.publisso.de:frl:6420779 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

View source