🚨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)
In a new study with @CVRinfo @GSofASimVis and @COGUK_ME, @sarahiannucci1 explains how she used animations and interactive visualisations to help explain the threat of #SARSCoV2 variants of concern (#VOCs; 2/9)
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) Screenshot of the COG-UK/ME...
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)… Screenshot of the SSPME app...
… and explanations of how the molecular details of #SARSCoV2 #VOCs changed the way the virus impacted our lives (6/9) Screenshot of the SSPME sho...
Sarah built this app for her MSc with @UofGMVLS and @GSofASimVis, with support from #MattPoyade, @robertson_lab, @_wharvey, @blJOg and @COGUK_ME

She did a fantastic job on this and won the @GSofA’s 2021 Chairman’s Award 🏆 (7/9)
Check out the app yourself here:

sc2-application.itch.io/sars-cov-2-mut…

… and have a look at the paper for details on how visual #scicomm improved molecular biology communication (8/9)

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) The login screen of the SAR...

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More from @CVRHutchinson

Jun 9
In a new preprint led by @annasimsbiol, we ask:
Why Don’t These Viruses Want to be Friends?
A 🧵...
biorxiv.org/cgi/content/sh… An image showing two infected regions, one green and one mag
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 A schematic showing a green and magenta virus coinfecting a
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) A schematic showing a cell infected by a green virus which,
Read 17 tweets
Sep 21, 2021
A quick Tweetorial about our new paper with the #BoutellLab, which @CharmanMatthew led during his PhD @CVRinfo

Alternative title: ‘Why are virologists’ cells stupid and does this matter?’ 🧵 (1/N)
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) Influenza does not like growing in primary lung cells
Read 11 tweets
Dec 31, 2020
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) Image
... 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) Image
The spacing and flexing of the spikes was also updated based on cryoEM data, particularly from the labs of @BriggsGroup (disq.us/t/3r34r8p) and @drlisai (doi.org/10.1016/j.cell…) (3/N) Image
Read 7 tweets
Jun 18, 2020
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 Baltimore classification of viruses
Read 35 tweets
May 27, 2020
Thread! It’s great to have been able to collaborate with @Scient_Art on a detailed model of the #SARS-CoV-2 virus particle, the cause of #COVID-19, using methods we’ve developed with @GSofASimVis @GSofA and @CVRinfo #scicomm #sciart (1/13) Image
These have been used by @snjasim to illustrate an @UKRI_News article on ‘Getting to know the new coronavirus’ coronavirusexplained.ukri.org/en/article/cad… (2/13)
Thanks to @Scient_Art and @GlasgowLifeSci you can explore #SARS-CoV-2 in 3D on @Sketchfab here: sketchfab.com/3d-models/sars… (3/13) Image
Read 13 tweets

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