🤯This is a very big title from the authors: "Small molecule machine learning: All models are wrong, some may not even be useful" biorxiv.org/content/10.110… The SMILES of MS-based lipidomics is very challenging considering uncertainty of C=C positions, cis/trans🤨Do NOT abuse AI !

In the summer issue of Society for Endo's magazine #Endocrinologist, our curator Matthew J Conroy contributes to the 'How do I...' series, looking at lipids and LIPID MAPS endocrinology.org/endocrinologis…

Curious to know how we probe the world of microbial lipids? Join us on the EpiLipidNET online meeting on 2nd July 9am CET. Contact JustineBertrand-Michel for more info.

July's #LipidoftheMonth is a record-breaking molecule in our database, but did it help to found Rome? lipidmaps.org/updates/lipido…

🥳🥳LPPtiger2 reached 1000 Downloads milestone!!🐯🐯 Let's continue our journey to discover more epilipids!! Maria Fedorova 🗺️😎💻 github.com/LMAI-TUD/lppti…

🥳Thanks to the support of my amazing wife, I now have a luxury multi-screen workstation with 192 GB RAM at home!! 🖥️ Excited to power up and craft new ideas right from my desk!🧑‍💻🤖 (with my tiny LEGO MassSpec!😎)

This story by Kristin Böhlig is about making ether lipids observable. They differ in a tiny detail from regular glycerophospholipids: one side chain is ether- instead of ester linked. 20% of our lipids are ether lipids and we know very little about them. biorxiv.org/content/10.110…

My wonderful colleague @MicheleWoelk reminded me today that we moved to Dresden, the city of #lipids, exactly 3 years ago! We are very happy to be a part of #ZML by Coskun Lipid Cellar @ ZML Dresden ! And Michele sprayed for me a nice greeting card 🙃😉

I guess the GitHub team is now facing some global issues. Hope our source codes are still safe on their cloud🙏🤖

Early 00s: The QStar SCIEX, the Vac and the Boss. This is how we used to clean our #masssec instruments 20 years ago (no joke). And they perfectly worked afterward! Sounds like grandma fairy-tail now... Original photo: courtesy Kim E. #omics #Science #History #lipidomics

Last week EpiLipidNET met in Brussels @COST HQ for the final exploitation meeting ‘Bridging Lipids and Society’ to pitch the importance of #lipidomics and #lipid research to stakeholders and EU decision-makers! Check out official @COST press release here cost.eu/bridging-lipid…

It was great having you here in Dresden! Looking forward to working together on all the inspiring topics discussed today. And thank you Vladi, Uladzimir Barayeu for a great seminar.

Save the date! Lipidomics Forum 2025 in Vienna. From Nutrition to Neurolipidomics and beyond. International Lipidomics Society Shevchenko Lab LIPID MAPS Shevchenko Lab Avanti Research biocrates life sciences Cayman Islands SLING Singapore Lipidomics Incubator

Interested in beyond state of the art computational tools and strategies for uncovering epilipids and following lipids fluxes? Don't miss Laura Goracci webinar for LIPID MAPS next week!

The LIPID MAPS structure database is now over 4900!!🥳🥳🥳🥳 Don't forget to update your LMSD.sdf files regularly!!👨‍💻👩‍💻🖥️✨

As a satellite to #SFRRI2025 in Galway we will hold the HNE Club Meeting on June 7th! Join us if you are around - great lineup of speakers covering lipid and protein modifications!

Long time in making, very happy to see it out – #clickchemistry for #lipid metabolism tracing extension to LC-MS/MS and #Lipostar2 bioinformatics support for data processing by Palina Nepachalovich together with our best friends from Perugia!!! Laura Goracci onlinelibrary.wiley.com/doi/10.1002/an…

Happy to share with you the work by Patricia Prabutzki and Michele Wölk on the lipidome remodeling along development of fibro-calcific aortic valve diseases (FCAVD). Importantly, lipidome remodeling in FCAVD is quite different in female and male patients! shorturl.at/EAixH

🎉 I’m excited to share that I’ve started as a TTAP at Tsinghua SIGS in Shenzhen,China! Thanks to the great support all these years from Maria Fedorova! & Thanks to everyone who supported me for the job search! Let's continue our journey in the Lipid "DarkForest" of MassSpec Data!