Mann Lab
mannlab.bsky.social
Mann Lab
@mannlab.bsky.social

The Mann Lab is a pioneer in mass spectrometry-based proteomics. Posts represent personal views from lab members and Matthias Mann

Matthias Mann is a German physicist and biochemist. He is doing research in the area of mass spectrometry and proteomics.

Source: Wikipedia
Biology 49%
Chemistry 44%
Pinned
Thank you Matthias for your visionary leadership and for creating a scientific family that continues to push boundaries. Congratulations from all members, and looking forward to the future! #MS #Proteomics #20Years
🎉 Congratulations to Matthias Mann on 20 years leading Proteomics & Signal Transduction at MPI of Biochemistry! Two decades of groundbreaking mass spectrometry research and training excellent future scientists.

#MS #Proteomics #Science @mannlab.bsky.social

Celebrating an incredible 2025 @mannlab.bsky.social!
PhD graduations, prestigious awards including Matthias Mann's
@nationalacademies.org election, launch of innovative methods and bioinformatics tools, and celebrating 20 years
@mpibiochem.bsky.social
mannlabs.github.io/research-hig...
MannLabs Research Highlights 2025
Summary of recent advances led by the MannLabs at the MPI for Biochemistry in Munich and the Centre for Proteomics Research in Copenhagen
mannlabs.github.io

Congrats to all the well-deserving winners of this year's #JSPAward and a shout-out to Thierry Nordmann @tnordmann.bsky.social for his outstanding research on #TEN published in @nature.com
www.nature.com/articles/s41...

We can know more than we can tell, but now Al can capture it. Our multimodal agent analyzes lab videos to generate protocols & catch common lab errors. Preserving tacit knowledge in proteomics. Now in @molsystbiol.org @patiskowronek.bsky.social #Google
link.springer.com/10.1038/s443...

Reposted by Matthias Mann

Reposted by Matthias Mann

Reposted by Matthias Mann

We congratulate @georgwa.bsky.social from the @mannlab.bsky.social on his sucessful #PhD defense!

Honored to be included in this reflection on 20 excellent years of MolSystBiol! From our first phosphotyrosine interactome in 2005 to proteome-wide networks - scale has grown exponentially. MS proteomics + AI is transforming systems-level understanding. Exciting times!
embopress.org/doi/pdf/10.1...
embopress.org

Elegant chemistry and cryo-EM explain the selective Lys8 ubiquitylation. A clear example of how metabolite sensing and the ubiquitin system intersect.

Great to see Brenda Schulman’s team post their new bioRxiv paper. MS-based proteomics helped uncover a beautifully simple mechanism: cysteine levels tune metabolism by flipping the inverse stability of LRRC58 and its substrate CDO1.
www.biorxiv.org/content/bior...
www.biorxiv.org

Fantastic time at #HUPO2025 in Toronto! Congratulations to our talented Early Career researchers! Proud winners: Oeller Marc Oeller🥇 1st Place Poster, Kathrin Korff 🥈 Runner-up Poster, and @carolineweiss.bsky.social 🎤 3-Minute Thesis award! The future of #proteomics research is bright!

If you are at HUPO 2025, catch up with our team @mannlab.bsky.social to hear about our exciting work in single-cell proteomics, immunopeptidomics, spatial proteomics, and the latest advances in mass spectrometry technology!

In Nature Communications: MS-based proteomics + machine learning to diagnose Lyme neuroborreliosis with 92% accuracy (CSF) and 80% (blood) - paving the way for earlier, less invasive testing.
www.nature.com/articles/s41...
The diagnostic potential of proteomics and machine learning in Lyme neuroborreliosis - Nature Communications
Researchers incorporate mass spectrometry-based proteomics and machine learning to assess the potential of a less invasive diagnostic approach for Lyme neuroborreliosis, a common nervous system infect...
www.nature.com

Awesome talk by @erictopol.bsky.social at the Bavarian Academy of Sciences and Humanities (BAdW). A positive and hopeful take on #AI in medicine. Thanks for highlighting #DVP, too 😊

AlphaDIA is open-source and free for academic and commercial users. We are currently preparing version 2.0 - stay tuned!
#AlphaDIA #Bioinformatics #DeepLearning #MassSpectrometry