Thanks for the highlight! It’ll soon get an update with more experimental validation of the composition as well as functional validation so stay tuned
Posts by Rasmus Jensen
Combining proteomics, structure prediction, bioinformatics and cryoET to discover non-canonical bacterial protein translocation-folding complex doi.org/10.1101/2025...
It is still unreleased on PDB - I tried increasing to 10 candidates but it didn't hit the right stociomtry but I also think it is a very hard case.
I tried on the E coli holotranslocon and it did well (it's also 1:1:1:1:1:1:1). Is it actually possible for it to predict 0 of a component?
And also is there a limit to how many components it works for reliably (e.g. if you have 6+ or 12+ proteins, does it start to get very complicated?)
Interesting! And thanks for making it so easy to access - Sorry if this is answered in the preprint as I've not read it yet, but do you have any idea of whether it also performs well on membrane-associated or membrane proteins. I tried for my favorite complex but it did not perform well.
Excited to share that as my group launches across Karolinska Institutet and the University of Helsinki, we’re recruiting postdocs and research assistants to study the nanoscale architecture of lipid flux using in-cell structural biology approaches, including cryo-ET and cryo-CLEM
In another inspiring talk at #EMBOComp3D, Julia Mahamid spoke about recent in-cell cryo-ET results
www.biorxiv.org/content/10.1...
Tired of knowing what you are looking for in your tomograms?
Why not try bluesky-less Frosina's new self-supervised algorithm for semantic segmentation and particle picking for #teamtomo (includes a new denoiser without the need for odd/even tomos)
Code is on GitHub if you want to try it out
CryoSiam: self-supervised representation learning for automated analysis of cryo-electron tomograms www.biorxiv.org/content/10.1101/2025.11....
Missed this at the time, super cool. Domes & capsules everywhere it seems..
Figure 1 from the preprint
Check out our preprint! With new molecular mechanisms, 140 subtomogram averages, and ~600 annotated cells under different conditions, we @embl.org were able to describe bacterial populations with in-cell #cryoET. And there’s a surprise at the end 🕵️
www.biorxiv.org/content/10.1...
#teamtomo
Congratulations!
Congrats! 🎉
Repost appreciated:
Open #PhDposition in structural virology in my group! Join us in Umeå, Sweden to uncover how arboviruses remodel infected cells. In situ #cryoET and #cryoEM combined with #virology, #cellbiology, and #biophysics.
Deadline 7 September. More info: www.carlsonlab.se/join/
Keep your eyes peeled. There’ll soon be another preprint by @joedobbs.bsky.social showing a myriad of translation/transcription complexes in Mycoplasma, and later I’ll have more on protein folding.
I hope with new methods it will soon be much more automated giving rise to countless new discoveries!
Very nice and generous summary of our recent preprint by @ewanbirney.bsky.social #cryoem #cryoet #proteinfolding #translocation
This is just an excellent preprint by Rasmus Jensen and colleagues from Julia Mahamid's lab @embl.org - a tour de force of Cryogenic electron tomography to do in cell structural biology in which they discover a new complex and solve its structure and function! www.biorxiv.org/content/10.1...
Thank you for the kind words. We are very happy to finally share this story with the community
We unfortunately don’t know - as mentioned in the discussion we looked for it but it may be too low abundance or transient for us to capture - but a great direction to follow up on 😉
www.biorxiv.org/content/10.1...
This link should work - I did not find a way to edit the original post
Are you into cryo-ET, in-cell discovery, protein translocation and folding or just cool integration of structural biology, proteomics and bioinformatics? Then see our new work:
www.biorxiv.org/content/10.1...
Thank you to all coauthors for your amazing work!
Looks great! What is the approximate time-line for code release for people who’re interested in trying it on their own data?