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So pleased to announce that our analysis, a review and meta-analysis, of the betacoronavirus literature has been published in @scireports!
https://rdcu.be/ccqvn
Keep reading for information about our question, and how we're answering it!
https://rdcu.be/ccqvn
Keep reading for information about our question, and how we're answering it!
There is enough SARS-CoV-2 literature to drown in. Trust us, we've been downloading and reviewing it since earlier this year! In our paper we present the results from reviewing 12,586 articles.
We found papers that identified host factors implicated in betacoronavirus infection of mammalian cells, focusing on humans.
Our aim was, and still is, to PRIORITISE genes from these screens and identify candidates for further study.
Our aim was, and still is, to PRIORITISE genes from these screens and identify candidates for further study.
We want to find out what genes have evidence from different sources, using the same or different techniques.
We use our algorithm MAIC, which we published early 2020, to analyse the output from the experiments we identify as relevant. https://www.nature.com/articles/s41467-019-13965-x
We use our algorithm MAIC, which we published early 2020, to analyse the output from the experiments we identify as relevant. https://www.nature.com/articles/s41467-019-13965-x
Stoeger & Nunes Amaral published an interesting article last month in @elife, which demonstrated the risk of relying on 'tried and true' candidates for study in SARS-CoV-2 infection: https://elifesciences.org/articles/61981
We hope that our analysis can help tackle this problem by identifying reasonable host factor candidates with supporting evidence from a number of sources.
We've run MAIC again every 6 weeks since then, and are gearing up for a new run in January 2021. With the volume of papers on this topic, the gene rankings have changed since we wrote this paper.
Live results are available at http://baillielab.net/maic/covid
Live results are available at http://baillielab.net/maic/covid
This work has been co-supervised by myself, @kennethbaillie and @clarkdrussell
It has been a fun project with loads of lab members taking part including @MaxFourman, @nrodgers6893, @BoInScotland, @MaaikeSwets , @jemillarni
along with lab members who aren't on twitter.
It has been a fun project with loads of lab members taking part including @MaxFourman, @nrodgers6893, @BoInScotland, @MaaikeSwets , @jemillarni
along with lab members who aren't on twitter.
Stay tuned as we continue to curate the literature and prioritise host genes on a regular basis!
Finally, our PI wrote an excellent summary of the preprint that is still relevant. You can find it here: https://twitter.com/kennethbaillie/status/1300772290028883970
