Ludwig R Sinn

That effort paid off well - Congrats to the authors!

Did you know that metal ions are required or control more than 90% of metabolic pathways, and that physiological concentation changes affect most od the proteome and signaling system? Tour de force from our Simran Aulakh! authors.elsevier.com/sd/article/S24…

Starting autumn, we will have a new #PhD position available in #Microbiology, to use spatially resolved #Metaproteomics to study metabiolic interactions in the gut #microbiome. Reach out if interested, or forward of you know anyone who might! tinyurl.com/2v982faj

@stevetate_absx Beyond support by SCIEX, we acknowledge funding from the @BMBF_Bund, #mscoresys, the SFB TRR186, and @ERC_Research. A special thanks to everyone involved, including SCIEX @SCIEXOmics, @chr_messner, @DemichevLab, and the inspiring @RalserLab.

@stevetate_absx We are super thrilled to see ZT Scan DIA leading to insight from miniscule proteome samples, in clinical proteomics and functional proteomics studies that depend on highly precise protein quantification from large sample series.

I am excited to see our performance assessment of the successor of Scanning SWATH on the Zeno TOF7600+ mass spectrometer - ZT Scan DIA - pre-printed (biorxiv.org/content/10.110…).

@LukasValihrach Glad you liked our perspective and vision of SCP

Entering the era of deep single-cell proteomics nature.com/articles/s4159…

Agree. I am convinced that this is what one sees in FAIMS...and most likely any flavour of ion mobility separation, also see here: pubs.acs.org/doi/10.1021/ac… -> described in Supp. Fig. S3 & associated discussion

New preprint! We show that photo-crosslinking dramatically improves structural insights into protein complexes compared to traditional crosslinking MS methods. biorxiv.org/content/10.110…

We’re excited to present this integrative analysis of single-cell proteomics and transcriptomics of the human HSPC hierarchy. Amazing teamwork with @NilUresin, @_sabrinarichter, @fabian_theis, @erwinschoof, @Bo_Porse biorxiv.org/content/10.110… 🧵

Happy to see #quantms out nature.com/articles/s4159…. Thanks to the main authors Dai & Julianus. The @OpenMSTeam @OKohlbacher & @DemichevLab for the support with OpenMS and DIANN. Thanks to @lukas_k for his incredible work with the data. Thanks to @nf_core & @nextflowio platforms.

Excited to announce DIA-NN version 1.9, our software suite for proteomics data processing! A range of cool new features and general performance improvements. We consider it the most significant update in the history of DIA-NN. github.com/vdemichev/DiaN…

Many will remember heavy debates in the yeast aneuploidy field. Are excess proteins dosage compensated, and if, how? Are there general signatures of aneuploidy? These problems solve studying natural strains. Time's back to study wild species, Biologists! nature.com/articles/s4158…

Want to do absolute quantitative plasma proteomics, with an internal standard that costs you less than 1€ per sample? Have a look at our OSPP medrxiv.org/cgi/content/sh…

You ever wanted to do high-throughputproteomics on yeast, and contribute to solve the challanges created by the antimicrobial crisis? This might be the postdoc job for you jobrxiv.org/job/charite-un…

Finally out 🥳 Quantitative Glycoproteomics at cohort scale ⏩ It was a great experience for me to work with @whit3matt and @chr_messner on this project ☺️

Want reliable quantities? Brilliant students in my lab @ZiskaKistner @JustusGrossmann figured out how. We present QuantUMS, an ML-based algorithm for step-change better quantitation in proteomics and statistical confidence in individual quantities biorxiv.org/content/10.110… QuantUMS is integrated in DIA-NN (beta version referenced in preprint), but we also plan to release it as an open-source tool, for use on various kinds of data, not just DIA. We further anticipate significant gains to be achieved by integrating the accuracy metric reported by QuantUMS with existing packages for statistical analysis of proteomics data. Some benchmarks are in the twitter thread below.

Limitations of AlphaFold2 structure prediction are addressed by including experimentally determined distance constraints go.nature.com/40lBQ5z