CORNETO: machine learning to decode complex omics data New tool combines biological knowledge with machine learning to help researchers extract meaningful insights from complex omics data.

How can we find out what’s really going on inside cells when we’re generating so much complex data?

CORNETO is an open-source tool that uses machine learning to turn tangled omics datasets into clear maps of how genes, proteins, and signalling pathways interact.

www.ebi.ac.uk/about/news/r... 🧪

integrated temporally resolved transcriptomic, proteomic, and secretomic profiling of human kidney mesenchymal cells from @savitski-lab.bsky.social @saezlab.bsky.social @miraburtscher.bsky.social identify dynamic changes upon TGF-beta stimulation ➡️ www.embopress.org/doi/full/10....

Big congrats to everyone involved - it was a blast! 🎊 If you're interested in #multiomics integration or #kidneyfibrosis, check it out! ⬇️

Ever wondered which method to use to infer kinase activities from phosphoproteomics data? 💻💭Our revised comprehensive evaluation of kinase activity inference tools, done in collaboration with the Zhang lab @bcmhouston.bsky.social, is now out @natcomms.nature.com 🔬 tinyurl.com/4twuc6z4

Online now - the Spotlight "Accelerating the stride toward functional #glycoproteomics" from @timveth.bsky.social and @nmriley.bsky.social.

#Glycoproteins #Glycoforms #Glycoprofiling #DQGlyco #Glycotime

authors.elsevier.com/a/1l3k53S6Gf...

High-throughput peptide-centric local stability assay extends protein-ligand identification to membrane proteins, tissues, and bacteria Systematic mapping of protein-ligand interactions is essential for understanding biological processes and drug mechanisms. Peptide-centric local stability assay (PELSA) is a powerful tool for detectin...

Want to know how the ligands interact with proteins beyond model cell lines, e.g., in tissues or bacteria? Interested in membrane targets? Check out our High-Throughput PELSA method which allows you do all these cool screenings for dozens of ligands within two hours! www.biorxiv.org/content/10.1...

Excited to share our new paper! If you’re interested in glycoproteomics, be sure to check it out 👇

Huge kudos to all coauthors, especially the amazing glycoteam: Clement, @miraburtscher.bsky.social, Isabelle, and Misha (@savitski-lab.bsky.social)!

Bacteria can influence how sugars modify proteins in the brain – shown for the first time by EMBL researchers.

In their study, the scientists describe a new method to study glycosylation systematically & quantitatively, leading to new biological insights. 🧪🧠📈

www.embl.org/news/science...

Excited to see this huge piece of work out 🎉 Congrats to everyone involved! If you ever wanted to read a 8in1 paper grab a cup of tea and enjoy 📖