Weller, B. ; Lin, C.-W. ; Pogoutse, O.* ; Sauer, M. ; Marin De La Rosa, N.A. ; Strobel, A. ; Young, V. ; Knapp, J.J.* ; Rayhan, A.* ; Falter, C. ; Kim, D.K.* ; Roth, F.P.* ; Falter-Braun, P.
A resource of human coronavirus protein-coding sequences in a flexible, multipurpose Gateway Entry clone collection.
Genes Genomes Genetics G3 13:6 (2023)
The COVID-19 pandemic has catalyzed unprecedented scientific data and reagent sharing and collaboration, which enabled understanding the virology of the SARS-CoV-2 virus and vaccine development at record speed. The pandemic, however, has also raised awareness of the danger posed by the family of coronaviruses, of which 7 are known to infect humans and dozens have been identified in reservoir species, such as bats, rodents, or livestock. To facilitate understanding the commonalities and specifics of coronavirus infections and aspects of viral biology that determine their level of lethality to the human host, we have generated a collection of freely available clones encoding nearly all human coronavirus proteins known to date. We hope that this flexible, Gateway-compatible vector collection will encourage further research into the interactions of coronaviruses with their human host, to increase preparedness for future zoonotic viral outbreaks.
Impact Factor
Scopus SNIP
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Times Cited
Scopus
Cited By
Altmetric
Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Wissenschaftlicher Artikel
Typ der Hochschulschrift
Herausgeber
Schlagwörter
229e ; Gateway Entry Clone ; Hcov ; Hku1 ; Mers ; Nl63 ; Oc43 ; Sars-cov-2 ; Coding Sequence ; Coronavirus; Sars
Keywords plus
Sprache
englisch
Veröffentlichungsjahr
2023
Prepublished im Jahr
0
HGF-Berichtsjahr
2023
ISSN (print) / ISBN
2160-1836
e-ISSN
2160-1836
ISBN
Bandtitel
Konferenztitel
Konferzenzdatum
Konferenzort
Konferenzband
Quellenangaben
Band: 13,
Heft: 7,
Seiten: ,
Artikelnummer: 6
Supplement: ,
Reihe
Verlag
Genetics Society of America
Verlagsort
Pittsburgh, PA
Tag d. mündl. Prüfung
0000-00-00
Betreuer
Gutachter
Prüfer
Topic
Hochschule
Hochschulort
Fakultät
Veröffentlichungsdatum
0000-00-00
Anmeldedatum
0000-00-00
Anmelder/Inhaber
weitere Inhaber
Anmeldeland
Priorität
Begutachtungsstatus
Peer reviewed
Institut(e)
Institute of Network Biology (INET)
POF Topic(s)
30203 - Molecular Targets and Therapies
Forschungsfeld(er)
Environmental Sciences
PSP-Element(e)
G-506400-001
Förderungen
Free State of Bavaria's AI for Therapy (AI4T) Initiative through the Institute of AI for Drug Discovery (AID)
European Union
Copyright
Erfassungsdatum
2023-10-06