in cell cryo-ET and image processing enthusiast #teamtomo
Postdoc in Martin Beck's group (@becklab.bsky.social) at the Max Planck Institute of Biophysics (@mpibp.bsky.social)
I'm very grateful to the SCALE Cluster of Excellence for this honor, and to my supervisor, @becklab.bsky.social, for his fantastic mentorship throughout my PhD.
🎉 Celebrating the SCALE-it Best PhD Awards 2026!
We are proud to celebrate the 2nd SCALE-it Best PhD Awards, honoring outstanding research within the SCALE Cluster!
🏆 Best Scientific Contribution: Dr. Jan Philipp Kreysing (Beck Lab)
🏆 Best Method Development: Dr. Laurell Kessler (Heilemann Lab)
Our software webinar series will resume in October with Beata Turoňová, Group Leader at the @mpibp.bsky.social, introducing cryoCAT. Until then, you can catch up on webinars you missed from our last series on the SBGrid YouTube channel.
More here: buff.ly/p1w3J7S#SBGrid#Webinars
PhD: defended ✅🎉 My work used in situ cryo-ET #teamtomo to investigate cellular machines from ribosome translation and HIV capsid at the nuclear pore to membrane association of vault, and the molecular architecture of heterochromatin. Huge thanks to @becklab.bsky.social. What a wonderful ride!
Out now in Nature Communications!
We show that Dictyostelium vaults associate with ER and NE membranes in situ and encapsulate ribosomes with defined orientations, shining new light on their cellular function! #TeamTomo#TeamMassSpec#ProtistsOnSkywww.nature.com/articles/s41...
Updated architectural model of the NPC from our lab, starred by bsky-less Agnieszka Obarska-Kosińska. Using cryo ET, XL-MS and modeling, we identify novel nucleoporins, among those the mRNA export complex TREX-2! Check out the preprint on biorxiv #TeamMassSpec#TeamTomo
Ready to TANGO? 💃 In our new publication, Beata Turoňová & Markus Schreiber (@ms314.bsky.social, @becklab.bsky.social) present TANGO: the first cryoET framework to analyze the relation between particle positions and orientations 🪩 All in a single user-friendly package! #CryoET#OpenScience
It’s out! Using cryo-ET in Dicty cells, we take a fresh in situ look at vaults. Surprisingly, we uncover vaults associated with ER and NE membranes, and find that many vaults enclose ribosomes in defined orientations, opening new avenues to their cellular function! www.biorxiv.org/lookup/conte...
New paper out!
How can we force HIV genomes out of their capsid shells and what can we learn about HIV biology doing so?
Hint: capsid inhibitors actively re-route nuclear HIV complexes, and expose genomes via intriguing structural effects!
open access:
link.springer.com/article/10.1...
read below
Exciting new paper from my colleague @deglushk.bsky.social in the @becklab.bsky.social! It introduces a fast, robust tool for measuring membrane thickness in tomograms #TeamTomo.
Just published! We share an open-source workflow to measure membrane thickness from tomograms, including a tutorial with 3D visualizations. We analyze thickness variations across organelles and reflect on where to define a membrane boundary. @becklab.bsky.social#teamtomorupress.org/jcb/article/...
Have you registered to the next EMBO Practical Course on In-situ structural biology by Cryo-FIB and Cryo-ET? 🧊 Join us in Frankfurt for hands-on training on cryo-techniques and networking with experts!
🔗 Apply by Dec 8, 2025: meetings.embo.org/event/26-in-...
📍 Frankfurt | 📆 April 12–20, 2026
Our colleagues Vinith Kishore and Valentin Debarnot from the @ivandokmanic.bsky.social lab have come up with an amazing deep learning tool for denoising and filling the missing wedge in #cryoET data. I'm pleased to introduce Icecream🍧
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
❓What if you could peek between your tilt series ❓ We are proud to introduce cryoTIGER -- deep-learning based tilt interpolation for enhanced reconstruction in cryo-ET. A great collaboration between Turoňová lab, @becklab.bsky.social, @hummerlab.bsky.social#teamtomowww.nature.com/articles/s42...
The software acts as a computational shortcut to denser sampling, which is often not feasible due to radiation damage limits. → Better angular sampling, sharper segmentation, improved particle localization.
More great cryo-ET benchmarking work from my colleagues Maarten Tuijtel, Tomáš Majtner, Beata Turoňová, & @becklab.bsky.social: Systematic study of how tilt increment choice affects downstream TM & STA. Preprint has the optimally balanced tilt increment. #TeamTomowww.biorxiv.org/content/10.1...
We’re hosting the @embo.org Practical Course on In-situ structural biology by CryoFIB and CryoET in April 2026! 🧬❄️ You can expect hands-on training, cutting-edge methods, and a chance to work alongside leading experts in structural biology. 🔗 Apply by Dec 8, 2025: meetings.embo.org/event/26-in-...
AI for Cryo-ET 🌟 Our new paper presents a deep-learning framework that cleans up faulty tilt series in a more automated, precise and powerful way! 💪 Read more here: www.sciencedirect.com/science/arti...
New from my colleagues Markus Schreiber & Beata Turoňová: TANGO, an #opensource tool for more holistic spatial analysis of cryo-ET particles. It can clean or cluster particles, analyze lattices, and identify patterns. #TeamTomowww.biorxiv.org/content/10.1...
Hey #TeamTomo,
Ever been in need of a tutorial about the fundamentals of cryo-electron tomography? From preprocessing raw frames to high-res subtomogram averaging?
That's why @florentwaltz.bsky.social and I made this website!
tomoguide.github.io
Follow the thread 1 /🧵
#CryoET#CryoEM 🔬🧪
Examining the 3D heterochromatin organization, we found a 37 nm edge-to-edge distance between connected nucleosomes and two trinucleosome arrangements: a smaller stacked population and a larger one with longer nucleosome distances, suggesting no strict long-range order for native heterochromatin.
Finally, we selected a representative fragment of chromatin, modelled it including histone tails, and performed all-atom MD simulations on it. The simulation showed an overall stable molecular arrangement with H4 tails mediating a stacking interaction.
Meta-analysis on the nucleosome coordinates revealed dense chromatin patches with local concentrations exceeding 200 mg/mL and showed native chromatin behaves like an intermediate between liquid and gas with some short-range order.
We then used a physics-based model to predict DNA linkers between the nucleosomes obtained by cryo-ET. This allowed us to visualize kbp-long chromatin fragments from inside human cells.
First, we enhanced template matching for nucleosomes by generating interpolated tilts between existing ones to reconstruct higher-contrast tomograms. Check out www.biorxiv.org/content/10.1... for method details. #TeamTomo
Thanks to these high-confidence peaks, we obtained the highest-resolved in situ chromatosome structure to date (with no interpolation). With local resolutions of core histones near 6Å, we confirmed the secondary structures reported in numerous in vitro studies. #TeamTomo
We investigated the molecular architecture of heterochromatin using cryo-ET (#TeamTomo) with enhanced template matching, subtomogram averaging, DNA linker predictions, and MD simulations.
Excited to share our preprint on the molecular architecture of heterochromatin in human cells 🧬🔬w/ @jpkreysing.bsky.social, @johannesbetz.bsky.social,
@marinalusic.bsky.social, Turoňová lab, @hummerlab.bsky.social@becklab.bsky.social@mpibp.bsky.social
🔗 Preprint here tinyurl.com/3a74uanv
Excited to share our latest work on nuclear pore complex scaffold integrity and its perturbation. Now out in Nature Cell Biology: rdcu.be/eg4i9
Great work by Reiya Taniguchi who just opened his own research group back in Japan! 🥳
So happy that my main PhD project on HIV-1 nuclear entry is now out in Cell. I want to especially thank my supervisor Martin @becklab.bsky.social and our amazing collaborators @maziarheidari.bsky.social from @hummerlab.bsky.social, Vojtech Zila from the Kräusslich lab and many others.
In a great collaboration with @hummerlab.bsky.social and the Kräusslich lab: HIV capsid doesn't break at the NPC; instead, it cracks open the NPC itself! Details in Cell: authors.elsevier.com/sd/article/S...@mpibp.bsky.social@uniheidelberg.bsky.social A thread below:
Exciting times in HIV research and prevention! HIV capsid is a great drug target because it's not just a protective shell for the viral genome but also a key facilitator for HIV entering the nucleus via the nuclear pore (NPC).
Science’s 2024 Breakthrough of the Year is lenacapavir, an injectable drug that demonstrated remarkable success at preventing HIV infection with one shot every 6 months.
Learn more about this year's #BOTY and other big advances in science: scim.ag/3BrCtUn
Check out our latest preprint if you want to find out what happens when capsid and NPC interact (spoiler: it doesn't seem to end well for the NPC) #teamtomowww.biorxiv.org/content/10.1...
Celebrating Dr. Huaipeng Xing from #molecularsociology on successfully defending his #PhD! 👏🥳 He studied the visualization of protein synthesis and folding inside human cells by #cryoET#teamTOMO. Congrats, Huaipeng, and best wishes for your future! 🤩
Do not miss our latest #cryoET work! 🕵️ Xing et al. present the dynamic architecture of TRiC in human cells! The study of this protein-folding chaperonin opens the door to understanding its dysfunction in diseases like cancer and neurodegeneration 🧠🧪 #teamTOMO@becklab.bsky.social
Are you already on track to apply to our #gradschool? 👣 This is a little map of our application process! We hope, you don´t get lost on the way 😊
If you want to start your #phdjourney with IMPRS-CBP #applynow
Don’t miss the chance and apply by February 7th.
👉 imprs-cbp.mpg.de 👈
#imprs_cbp
Hello 🦋! We’re excited to announce that applications for our #PhDprogram open in TWO weeks! 🤯 Join our #IMPRS and take your first steps toward groundbreaking research in Cellular Biophysics. 📅 Mark your calendar & stay tuned: imprs-cbp.mpg.de#PhDPositions#GradSchool#MaxPlanckSociety
Faster and more accurate protein modeling with CryFold. By focusing on nearby points (Local Attention) and employing map masking, CryFold excels in generating models from challenging maps regions. It enables a more cost-efficient model building. 🧵
💾 github.com/SBQ-1999/Cry...