🧬 First Webinar of 2026! Uncovering sex-specific vulnerabilities in cancer metabolomics — from patients to pathways with Dr. Caroline Johnson of Yale School of Public Health 🗓 06.02.26, 13:00 CET 🔗 Zoom: bit.ly/humandn_webinars #CancerResearch #Metabolomics #webinar

#Weekend Read: Using EIEIO-MS/MS, @metabolomicaceu scientists mapped double bond positions in human plasma lipids (NIST SRM 1950). 🔗bit.ly/3VO3tEm #Lipidomics #MassSpec

#Weekend Read 🔦The “dark metabolome” isn’t a myth, it’s a frontier. New research shows most unannotated signals in metabolomics are not just fragmentation artefacts, but real, undiscovered molecules. 🚀 🔗bit.ly/4pSxDUD #Metabolomics #DarkMetabolome #MassSpec

How do plants create their vast chemical diversity? 🌿 Join Tomáš Pluskal (IOCB Prague & MZIO) for our next HUMAN Webinar: 🔬 Decoding the Chemical Universe of Plants 🗓 14 Nov 2025 | 🕐 13:00 CET | 💻 Zoom 🔗 bit.ly/humandn_webinars #webinars #metabolomics

🔬 Piercing the secrets of tumors: New nanoneedle tech can “imprint” living tissue, mapping lipid changes in space & time. It can: ✅ Distinguish healthy vs cancer tissue ✅ Predict glioma grade ✅ Track chemo response in real time Curious?🔗bit.ly/3KqOwpd #Lipidomics

🔬 New in #MassSpectrometry: SpectriPy bridges R & Python for data analysis. Breaking language barriers → more flexible & reproducible science. 🚀 🔗bit.ly/48L9yJa #RStats #Python #Bioinformatics #OpenSource

New #HUMAN paper out! 🩸 Our partners from @metabolomicaceu explored blood microsampling (DBS, qDBS, VAMS) for untargeted #lipidomics using high-throughput LC-MS. Volumetric devices show plasma-like precision & recovery! 🔗bit.ly/476qWXw

What if Heisenberg had a mass spec? Would he be interested in #meth-abolomics? This latest #Weekend Read, explores how plasma metabolomics and bioinformatics modeling can uncover the hidden biological signatures of chronic methamphetamine use. Curious? 🔗bit.ly/3InEYdS

#Weekend Read #Metabolomics annotation is hard. And JESTR attempts makes it easier by treating molecules & spectra as two views of the same object — and ranking candidates with joint embeddings. Result? Big gains over some of existing tools. Curious? 🔗bit.ly/4mdd4PB

🚨 Not all pathways are created equal! Applying gene-centric tools to metabolomics can mislead. We unpack 5 pitfalls + strategies for better interpretation 🔬⚡ A must-read for systems biology & multi-omics: bit.ly/3I1jPpE #weekend #metabolomics