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Felix Kraus

@sauerkrausi

Quantitative cell biologist. Image neurons, break organelles, wrangle proteomics data. Quantify everything except my cat's chaos. She's orange. 🐈 Alumni: @harvardmed.bsky.social @monashuniversity.bsky.social @lmu.de

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Latest posts by Felix Kraus @sauerkrausi

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More on the potential protective effect of LRRK2 variants in GBA1-PD: Researchers demonstrate that in response to IFNΞ³-induced inflammatory stimulation of #Parkinsons-patient derived microglia, LRRK2 kinase & GCase activities are positively correlated
www.nature.com/articles/s41...

06.03.2026 20:27 πŸ‘ 2 πŸ” 1 πŸ’¬ 1 πŸ“Œ 0
Cutaway and close-up views of a Martini coarse-grained whole-cell model of JCVI-syn3A, showing the densely packed cytoplasm with proteins, RNA, metabolites, and chromosome inside a lipid membrane with embedded membrane proteins

Cutaway and close-up views of a Martini coarse-grained whole-cell model of JCVI-syn3A, showing the densely packed cytoplasm with proteins, RNA, metabolites, and chromosome inside a lipid membrane with embedded membrane proteins

Our paper on [Bentopy](doi.org/10.1002/pro....) is out in Protein Science! We developed Bentopy to make assembling large-scale MD models more accessible, building on what we learned from trying to simulate whole-cell models. Here's our updated Martini JCVI-syn3A cell modelπŸ‘‡

13.02.2026 15:37 πŸ‘ 32 πŸ” 17 πŸ’¬ 1 πŸ“Œ 0

Very happy to share our recent preprint describing #Golgi protein quality control #PQC in mammalian cells. #proteasome #ubiquitin #ChemBio Fantastic work by @joaodiamantino.bsky.social and team! #proudPI @unidue-zmb.bsky.social @imprs-lm.bsky.social

06.02.2026 08:08 πŸ‘ 28 πŸ” 12 πŸ’¬ 1 πŸ“Œ 1

That looks like an amazing resource!

27.01.2026 20:11 πŸ‘ 2 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0
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No bull: This Austrian cow has learned to use tools.

Learn more: https://scim.ag/3LYTXNd

22.01.2026 17:32 πŸ‘ 122 πŸ” 35 πŸ’¬ 9 πŸ“Œ 12
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Excited to share our new paper! We developed a method to visualize proteasomal degradation at the single–molecule level in live cells, enabling us to dissect distinct modes of substrate engagement, probe co-factor dependence, and study proteasome–ribosome collisions.
www.biorxiv.org/content/10.6...

20.01.2026 12:27 πŸ‘ 48 πŸ” 15 πŸ’¬ 1 πŸ“Œ 1
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LLOMe has long been used to study lysosomal damage, yet how it works has remained a mystery.
Using cryo-electron tomography, we show it forms amyloid structures inside lysosomes that mechanically rupture membranes – revealing a new paradigm for lysosomal failure.

πŸ”— doi.org/10.64898/202...

#CryoET

20.01.2026 10:01 πŸ‘ 112 πŸ” 40 πŸ’¬ 3 πŸ“Œ 2