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A Synthetic Defective Interfering SARS-CoV-2
Preprint
in En
| PREPRINT-BIORXIV
| ID: ppbiorxiv-393587
Journal article
A scientific journal published article is available and is probably based on this preprint. It has been identified through a machine matching algorithm, human confirmation is still pending.
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A scientific journal published article is available and is probably based on this preprint. It has been identified through a machine matching algorithm, human confirmation is still pending.
See journal article
ABSTRACT
Viruses thrive by exploiting the cells they infect but must also produce viral proteins to replicate and infect other cells. As a consequence, they are also susceptible to exploitation by defective versions of themselves that do not produce such proteins. A defective viral genome with deletions in protein-coding genes could still replicate in cells coinfected with full-length viruses, and even replicate faster due to its shorter size, interfering with the replication of the virus. We have created a synthetic defective interfering version of SARS-CoV-2, the virus causing the recent Covid-19 pandemic, assembling parts of the viral genome that do not code for any functional protein but enable it to be replicated and packaged. This synthetic defective genome replicates three times faster than SARS-CoV-2 in coinfected cells, and interferes with it, reducing the viral load of a cell by half in 24 hours. The synthetic genome is transmitted as efficiently as the full-length genome, confirming the location of the putative packaging signal of SARS-CoV-2. A version of such a synthetic construct could be used as a self-promoting antiviral therapy by enabling replication of the synthetic genome, the virus promotes its own demise. O_FIG O_LINKSMALLFIG WIDTH=153 HEIGHT=200 SRC="FIGDIR/small/393587v1_ufig1.gif" ALT="Figure 1"> View larger version (42K) org.highwire.dtl.DTLVardef@60aa77org.highwire.dtl.DTLVardef@57a965org.highwire.dtl.DTLVardef@132574dorg.highwire.dtl.DTLVardef@18e2e_HPS_FORMAT_FIGEXP M_FIG Graphic summary C_FIG
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Full text:
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Collection:
09-preprints
Database:
PREPRINT-BIORXIV
Language:
En
Year:
2020
Document type:
Preprint