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Swantje Lenz

@swlenz.bsky.social
208 followers 119 following 3 posts

PostDoc at MPI-CBG, von Appen and Toth-Petroczy groups

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Reposted by Swantje Lenz
mareikejordan.bsky.social @mareikejordan.bsky.social · 04/09/2026
Check out our preprint on the structural mechanisms of how LEM2 and ESCRTs seal the nuclear envelope. Awesome collaboration with @karenpalacior.bsky.social who brought my structures to life 💃🔬❄️🌀 @hummerlab.bsky.social www.biorxiv.org/content/10.6...
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Reposted by Swantje Lenz
André Nadler @nadlerlab.bsky.social · 29/07/2026
Lipids build the membranes of all cells, but identifying their precise functions is extremely challenging. Here’s our attempt to change that: How to find and understand lipid-protein interactions, by Katelyn Cook & company. www.biorxiv.org/content/10.6...
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Dollie LaJoie @dolliemae.bsky.social · 10/06/2026
Seeking a post-doc for the LaJoie lab at the Human Technopole, Milan, Italy! We are looking for candidates from the fields of biochemistry, cell biology, and proteomics, who are interested in studying protein interactions of the nucleus 🤓 lnkd.in/dTG2CgXF
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Reposted by Swantje Lenz
Mathilda Lennartz @mathilda95.bsky.social · 23/03/2026
I am extremely excited that my first first-author paper from my PhD is finally out 😆!! We developed a new CLEM workflow to measure lipid densities at the nanoscale. So if you are into lipids and super-resolution imaging approaches, this one is for you: www.nature.com/articles/s41...
nature.com
Visualizing suborganellar lipid distribution using correlative light and electron microscopy - Nature Cell Biology
Lennartz et al. introduce a correlative light and electron microscopy workflow, Lipid-CLEM, combining near-native lipid probes and on-section labelling via click chemistry. Lipid-CLEM quantitatively a...
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Reposted by Swantje Lenz
Mihaly Badonyi @mbadonyi.bsky.social · 04/03/2026
My first manuscript in MPI colours! With @tothpetroczylab.bsky.social, we show that AlphaFold PAE-derived contact probabilities are well calibrated to the fraction of true interface contacts across experimentally determined protein dimers. www.biorxiv.org/content/10.6...
Two-panel calibration plot (two benchmark dimer datasets) comparing predicted interchain contact-probability bins (x-axis) with the observed fraction of native interfacial contacts (y-axis). Points follow the diagonal, indicating close agreement between predicted probabilities and true interface-contact fractions.
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Reposted by Swantje Lenz
André Nadler @nadlerlab.bsky.social · 21/08/2025
Out today in @nature.com: Together with the Honigmann, Shevchenko, Drobot and Hof labs, we present a general workflow for imaging the localization and transport of individual lipids in cells and mapping their metabolism. www.nature.com/articles/s41...
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Swantje Lenz @swlenz.bsky.social · 19/03/2025
Happy to share the first paper of my postdoc and happy to have been part of the team!
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Reposted by Swantje Lenz
André Nadler @nadlerlab.bsky.social · 10/03/2025
Are lipids actively sorted during clathrin mediated endocytosis like proteins? @mathilda95.bsky.social addresses this key open question together with our collaborators from the Honigmann and Modes labs using a new Lipid-STED workflow. www.biorxiv.org/content/10.1...
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CrowDsourcing COndensate Database & Encyclopedia @cdcode.bsky.social · 07/03/2025
🍃CD-CODE update v1.09 is here!🍃 👀Check out the new #biomolecular #condensates at cd-code.org 👀We're continuing to update #Protein - #condensate connections and resolve issues! Join us to share your #condensate #expertise as a contributor: cd-code.org/signup #Bioinformatics #DatabaseUpdate #IDR
media.tenor.com
a group of ducklings are running in a field .
ALT: a group of ducklings are running in a field .
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Reposted by Swantje Lenz
André Nadler @nadlerlab.bsky.social · 31/01/2025
It’s incredibly hard to study lipids in biological membranes on the nanoscale. You need near-perfect information on both membrane ultrastructure and lipid density, which usually isn’t attainable. Lipid-CLEM brought to you by @mathilda95.bsky.social changes that. www.biorxiv.org/content/10.1...
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Toth-Petroczy lab @tothpetroczylab.bsky.social · 12/12/2024
Our PICNIC tool predicts condensate-proteins regardless of their structural disorder across organisms @naturecomms.bsky.social. Congratulations to @annaha-poetry-art.bsky.social for developing the algorithm and to Hari @hymanlab.bsky.social for the experiments! www.nature.com/articles/s41...
nature.com
PICNIC accurately predicts condensate-forming proteins regardless of their structural disorder across organisms - Nature Communications
Here the authors report PICNIC (Proteins Involved in CoNdensates In Cells), a machine learning algorithm that predicts approximately 40–60% of proteins form condensates in various organisms, showing n...
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