🚨New pre-print!🚨 biorxiv.org/content/10.110…
Viruses are very small things with very big effects. During the #SARSCoV2 pandemic, tiny changes in molecular biology had huge impacts on people’s lives. How could we communicate about this clearly?
🦠#scicomm#sciart🦠
(1/9)
There were, of course, plenty of data out there, collected by groups like @COGUK_ME. But these sites were (quite reasonably) aimed at expert audiences.
Could the details of new SARS-CoV-2 variants be explained in a way that was accessible for the public? (3/9)
To do this, @sarahiannucci1 created the #SARSCoV2 Spike Protein Mutation Explorer, an interactive app that explains variants of concern through animations… (4/9)
… interactive models (5/9)…
… and explanations of how the molecular details of #SARSCoV2#VOCs changed the way the virus impacted our lives (6/9)
Finally, if you’re interested in the technical details of how Sarah built her app: a book chapter describing this is in press 📔
(watch this space...👀)
(9/9)
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Coinfection is an important aspect of viral evolution. If two viruses can get into the same cell, they can undergo genetic exchange. A dramatic example of this is when different strains of influenza A virus (IAVs) use coinfection to generate novel pandemic strains
However, many viruses actively push back against coinfection. In a variety of ways, they change an infected cell until it becomes resistant to infection by related viruses. This effect is known as superinfection exclusion (SIE)
If you work with human influenza viruses in the lab you most likely grow them in MDCK cells, or possibly MDBK cells, or maybe A549 cells if you are fussy enough to want a cell line that comes from (a) the right organ system and (b) the right species of animal (2/N)
These cell lines are super-convenient – they grow forever, and it’s so much easier to grow influenza in them than in, say, human bronchial epithelial cells. Great, right? (3/N)
Earlier this year, @Scient_Art collaborated with us to produce one of the first detailed 3D models of the #SARSCoV2 virus particle. To round off 2021 she's updated her model, and it looks great (1/N)
... the first model drew heavily on existing work on related viruses (SARS-CoV-1 and MHV). The updated model has an improved representation of the spike protein, building on the detailed model from @RommieAmaro's lab (pubs.acs.org/doi/10.1021/ac…) (2/N)
We’ve just had a paper published and I would like to tell you a story about people in science being nice to each other – a thread cell.com/cell/fulltext/…
This is a large, collaborative effort – 54 authors across multiple institutions, led @MountSinaiNYC and @CVRinfo. But the science in the story is quite simple (and you can read it in the paper), so I’ll explain it quickly before telling a different story (which you cannot)
Briefly, here’s the science of it. THE BACKGROUND: (i) Viruses need to make mRNA that host ribosomes can translate into proteins