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mannlab.bsky.social
The Mann Lab is a pioneer in mass spectrometry-based proteomics. Posts represent personal views from lab members and Matthias Mann
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In our latest @Nature review with Tiannan Guo & Judith Steen, we explore how technological breakthroughs are revolutionizing MS-based proteomics: From enhanced sensitivity enabling single-cell analysis to high-throughput plasma proteomics & AI-based data interpretation www.nature.com/articles/s41...

Preprint just out: Our international team's perspective on proteomics and AI, led by Tiannan Guo. We outline key areas where global collaboration between AI and proteomics researchers can accelerate biological discoveries and medical applications. Check it out: arxiv.org/abs/2502.15867

Comprehensive coverage of spatial proteomics in The Scientist, highlighting how deep visual proteomics is advancing our understanding of disease. Great to share our perspective alongside another pioneer in the field! www.the-scientist.com/spatial-prot...

Out today in Nature Genetics: Using MS-based proteomics, we mapped 1,200+ plasma proteins in 2,100+ children, showing how genetics & development shape blood protein levels during childhood. nature.com/articles/s41588-025-02089-2 #PediatricProteomics #pQTL First author @liliniu.bsky.social explains ⬇️

Our Deep Visual Proteomics workflow maps protein networks in bladder, prostate, seminal vesicle & lymph node Signet Ring Cell Carcinoma, revealing DNA damage response alterations & immune signatures that could guide therapy choice. Out now in NPJ Precision Oncology! rdcu.be/d8KyK

An interesting survey conducted by Wiley reveals 72% of researchers plan to use AI for manuscript preparation. Sebastian Porsdam Mann (Copenhagen University) notes how researchers across all fields may need to adapt to these changes. nature.com/articles/d41586-025-00343-5

Looking for rapid, deep & reproducible proteomics? Follow our @Nature protocol to get 7k proteins & 29k phosphosites in just 21 min! Complete #PASEF workflow using optimal dia-PASEF, synchro-PASEF & py_diAID. From method development to analysis. #TeamMassSpec @patiskowronek.bsky.social explains 👇

Our mipDVP workflow integrates 22-marker imaging with Deep Visual Proteomics to spatially map cell-type proteomes in hot/cold tumors, revealing distinct immune landscapes, macrophage barriers, T cell adaptations to hypoxia & tumor heterogeneity. Online in Molecular Cell. doi.org/10.1016/j.mo...

Looking forward to a fabulous 2025, full of happiness and scientific achievements! 🔬💫