Pathogen Dynamics Unit

This one has been a long time coming: we delivered this through institutional changes and the team incubated two babies 👶 👶 alongside this phenomenal work dissecting the genomic epidemiology of a globally important Salmonella serovar causing iNTS disease worldwide! 🧬 🧫 💊

This week, @emiliefinch.bsky.social and @jandraor.bsky.social from our team delivered a hands-on workshop on infectious disease modelling.
Participants from KAUST were introduced to the fundamentals of transmission dynamics.

Huge thanks to all the participants for their curiosity and engagement.

@ksbakes.bsky.social is representing PDU at the GRC Microbial Population Biology conference this week introducing the AMR through time and space session - check out the work of the other attendees here:

Smashing time at the @pducambridge.bsky.social retreat this week!

Ipswich looking glorious in the sun. Brilliant 48h with the @pducambridge.bsky.social solving the pressing questions in infectious diseases, competing in penalty shoot outs and cooking up a storm #PDURetreat

Final one before the weekend ... check out this amazing new preprint from @charlotteechong.bsky.social where she uncovers what the dominant forces are shaping accessory genome dynamics in the WHO AMR priority pathogen Pseudomonas aeruginosa 🧫 🛡️💊

Check out the latest from the lab on Sexually Transmissible shigellosis where @lewiscemason.bsky.social and co unpick why this relatively obscure disease re-emerged endemically in the 21st Century 🔬 🧫 🕵️ 🧬

It's the 3rd week of Women’s History Month and we want to introduce you to Dr Angkana Huang [Hat], Postdoctoral Research Fellow @pducambridge.bsky.social

Read about her research project and how she is involved in making science more equitable in the Global South ⬇️
www.gen.cam.ac.uk/womens-histo...

Check out this amazing new NextFlow GWAS pipeline (based on pyseer) by our very own @rositea.bsky.social, a first year PhD student in the PDU!

A way to use cross sectional serological data to reconstruct the changing circulation patterns of pathogens. All in an R package.

Great way to start the year! A paper in @nature.com by our amazing @noemie presenting a way to use sequences to identify pathogen lineages, quantify their fitness, and identify potentially important genes/snps . Works across bugs, even with minimally and biased set of sequences.

Great way to finish the year! Paper by our @huangat.bsky.social in @pnas.org showing that relying on seroconversions in cohorts will usually lead to horribly biased #dengue incidence estimates whereas models relying on age data from local hospital typically robust.

Certain sublineages of antimicrobial resistant bacteria dominate the surveillance landscape, but what causes them to become resistant? Check out our latest work in Shigella to find out and/or read the thread below www.medrxiv.org/content/10.1101/2024.10.27.24316207v2
1/n

Very excited to present our latest work as my first post on Bluesky. Thanks to all co-authors for their valuable contributions! A truly mammoth effort with many different fields of expertise coming together. Looking forward to working with all of you in future as well. #Microsky

Really enjoying having @atjcagan.bsky.social in the @geneticscam.bsky.social who drew this fab piece at our recent research day. Contains some exciting teasers for our next awesome piece of work landing before Christmas! Thanks Alex!

Apologies for the website glitch - it's www.pdu.gen.cam.ac.uk

Really excited to launch the new iteration of the Bakery as part of the Pathogen Dynamics Unit, co-led with @hsalje.bsky.social and @virologyhouldcroft.bsky.social Has been awesome working together this last year and really excited for things to come! Please follow and repost.

Hello world! After a year in the making, the Pathogen Dynamics Unit is ready to launch! Check out our website (pdu.gen.cam.ac.uk) and follow the team (bsky.app/profile/did:...) to keep up with the latest from our infectious disease supergroup based at @geneticscam.bsky.social