CryoEM, Structural Cell Biology. A/Prof@University of Melbourne. #NHMRC Emerging Leadership Fellow. Formerly at @Caltech, @MRC_LMB

Joined January 2012
Glad to share this interesting Perspective article exploring how biofilm architecture could provide a framework to improve diagnosis, prognosis, and treatment stratification. This is an Editor's Choice article too in The ISME Journal! academic.oup.com/ismej/artic…
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When imaging at high mag using cryo-ET, field of view reduces. How to overcome this limit? How do we get a "bird’s-eye view" without compromising resolution? Our very own @brown_hamish has a solution to this: “montage tomography with a rectangular beam!” biorxiv.org/content/10.64898…
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New preprint alert! 🦠🔬 We show how pathogenic bacteria form diverse, previously unknown biofilms within a dysregulated oral microbiome. A fascinating glimpse into how microbial communities may contribute to disease! biorxiv.org/content/10.64898…
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The big idea: We show disease-associated microbiomes form reproducible, distinct biofilms that may provide a new axis for predicting, diagnosing & targeting microbial disease. So in microbiome, it is not just about WHO is there! - it is about WHERE they are & HOW they organise!
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Heroic effort from #AnanyaPadmakumar! Also, amazing collaboration involving #EricReynolds, #PaulVeith, #PaulMcMillan, #StuartDashper! Thanks to all the support from @UniMelb, @CCeMMP, @unimelbMDS, @CGCPT, @Bio21Institute, @Bio21Director.
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Amazing to be a part of this fantastic work led by the @BurnsBrendan2 lab! Here, for the first time, we visualized unique viruses associated with Asgard archaea using cryoET. You can read it here: lnkd.in/gs7mztKw
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Also, yay! Now we have imaged viruses from all three domains of life!
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Had an amazing day at the @Sydney_Uni, presenting our work at the SABA BacChats Seminar Series! Great scientific discussions throughout the day. Thanks again for the warm hospitality, I thoroughly enjoyed the visit! @DoyleMT1 and @bilgespqre, thank you both for everything.
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This study further highlights the power of integrating advanced cryo-EM with computational structural biology to assign functions to the vast repertoire of proteins encoded within microbial “dark matter,” where conventional annotation approaches often fall short.
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