4.7 Article

Differential transcriptional responses to Ebola and Marburg virus infection in bat and human cells

Journal

SCIENTIFIC REPORTS
Volume 6, Issue -, Pages -

Publisher

NATURE PORTFOLIO
DOI: 10.1038/srep34589

Keywords

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Funding

  1. Deutsche Forschungsgemeinschaft (DFG) through the Priority Program [SPP1596 DR772-10/1]
  2. LOEWE Medical RNomics
  3. BMBF [0316165C, 0315581, 01KU1002J]
  4. Innovation Fund Denmark, The Danish Council for Independent Research
  5. FWF [W1207-B09, F43, I-1303]
  6. DFG [CRC/Transregio 124, SPP 1738]
  7. DFG (Excellence Cluster Inflammation at Interfaces)
  8. University of Vienna Research Platform [323500]
  9. German Network for Bioinformatics Infrastructure (de. NBI) by the German Federal Ministry of Education and Research [031A538B]
  10. Werner Siemens fellowship
  11. Carl Zeiss Stiftung
  12. SAB/ESF [GPCR2 22117017]
  13. Austrian Science Fund (FWF) [W1207] Funding Source: Austrian Science Fund (FWF)

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The unprecedented outbreak of Ebola in West Africa resulted in over 28,000 cases and 11,000 deaths, underlining the need for a better understanding of the biology of this highly pathogenic virus to develop specific counter strategies. Two filoviruses, the Ebola and Marburg viruses, result in a severe and often fatal infection in humans. However, bats are natural hosts and survive filovirus infections without obvious symptoms. The molecular basis of this striking difference in the response to filovirus infections is not well understood. We report a systematic overview of differentially expressed genes, activity motifs and pathways in human and bat cells infected with the Ebola and Marburg viruses, and we demonstrate that the replication of filoviruses is more rapid in human cells than in bat cells. We also found that the most strongly regulated genes upon filovirus infection are chemokine ligands and transcription factors. We observed a strong induction of the JAK/STAT pathway, of several genes encoding inhibitors of MAP kinases (DUSP genes) and of PPP1R15A, which is involved in ER stress-induced cell death. We used comparative transcriptomics to provide a data resource that can be used to identify cellular responses that might allow bats to survive filovirus infections.

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