Профиль

Pathogen Dynamics Unit

Infectious Disease Research Unit at the University of Cambridge working on the emergence, spread, and control of pathogens. See more at: www.pdu.gen.cam.ac.uk Member starter pack: https://go.bsky.app/7PFMyLu

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Публикации
⟳ Репост от Pathogen Dynamics Unit

👀👇 New work on sexually transmitting Shigella (press-friendly: bit.ly/4bBarEL) From continued collaboration with @clairejenkins2.bsky.social @ukhsa.bsky.social, @pducambridge.bsky.social co-lead @hsalje.bsky.social, a talented student Julia Marshall www.linkedin.com/in/julia--ma..., and others! 🧫🧬💊

The Lancet Infectious Diseases

New Research The spread of sexually transmissible drug-resistant shigellosis in England: a genomic epidemiology study www.thelancet.com/journals/lan...

⟳ Репост от Pathogen Dynamics Unit

Are you interested in how your genomics work can meaningfully feed into addressing the UK National Action Plan on AMR? 🧬🧫 🦠💊 Then check out our handy personal view out today in Lancet Microbe … 🧵1/n www.sciencedirect.com/science/arti...

The role of microbial genomics in delivering the UK’s national action plan for confronting antimicrobial resistance 2024–29Antimicrobial resistance (AMR) is a major threat to human and animal health, in addition to environmental resilience. Countries set the agenda on thei…www.sciencedirect.com
⟳ Репост от Pathogen Dynamics Unit

I hope all my fellow #shigellaphiles have 20 - 24 April 2026 blocked out in their diaries for @shigellameeting.bsky.social next year in Paris! In the meantime, check out (and join) our starter pack to start community building now 🧫

The Shigella Meeting

Why not follow our @shigellameeting.bsky.social starterpack of people who are speaking at and attending the conference - please message to be added to the starter pack if you're planning on coming or we haven't found you yet! go.bsky.app/6Vbwhjc

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! 🧬 🧫 💊

Kate Baker

There are half a million cases of invasive non-Typhoidal Salmonella (iNTS) every year and while you might know S. Typhimurim and Enteritidis, you may not have heard of S. Panama 💩 🩸 🧫 💊 Check out our latest in @lancetmicrobe.bsky.social doi.org/10.1016/j.la... and the 🧵 below to find out more 1/n

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 🧫 🛡️💊

Kate Baker

Defence Systems are so hot right now 🔥 🔥 🔥 so check out our latest preprint to see how DSes contribute to niche adaptation, interact with each other, and drive accessory genome interactions in Pseudomonas aeruginosa 1/n www.biorxiv.org/content/10.1...

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 🔬 🧫 🕵️ 🧬

Kate Baker

Sexually transmissible shigellosis has gone from an obscure cause of sporadic outbreaks to a sustained endemic AMR priority in only two decades! 🧫💊 Check out our latest preprint to understand how this happened 1/11 www.medrxiv.org/content/10.1...

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!

Charles Wei

Tired of fragmented bacterial GWAS workflows? Try BaGPipe (Bacterial GWAS Pipeline)—a fully automated, flexible Nextflow pipeline integrating Pyseer for streamlined association studies. Reproducible. Scalable. Efficient. doi.org/10.1101/2025... #Nextflow #BacterialGWAS #AMR #Bioinformatics

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.

Noémie Lefrancq

Incredibly excited to share that our manuscript was just published in @nature.com ! What a way to start the new year! 🎉 https://buff.ly/4gyYCzx We present phylowave, a framework that enables to learn the fitness dynamics of pathogens from phylogenies. 🧵 A thread... 1/n #IDSky #IDModelling

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.

Angkana T. Huang (HAT)

No one best way to measure #infection risk in populations. Cross-sectional sero: weak temporal signal, CXR, waning as we know. Extra care needed for longitudinal #serology as Ab kinetics and assay noise can mess up estimates by a lot. Cases can be powerful! www.pnas.org/doi/10.1073/pnas.2411768121

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