The second topic brought to our attention is the mzQC, with this preprint: https://biologists.social/@biorxivpreprint/112408135435078047 #epilipidnet

Only the highest level indicates enough evidence on the double bond location and the stereochemistry. That this is a thing is shown by the article which I posted about earlier today: https://social.edu.nl/@egonw/112444260752022998 #epilipidnet

NH reminds us why we do FAIR, for the I and the R. Why? Ideally reusability, but we can settle for now interpretability.

He then talks us through various approaches on how to annotated experimentally measured lipids with identifiers and their certainty.

E.g. the scoring levels reflecting how much evidence have for the structural detail #epilipidnet

jumping to the last #epilipidnet session, another few interesting talks, like the previous session, very practical. There is a lot of great lipids use cases in the clinic heading our way.

I cannot, however, not post about @TheLipidHoff's talk, the last one of the day and whole meeting: "Proposition of a scoring system for data quality assessment in MS-based #lipidomics"

this article (https://onlinelibrary.wiley.com/doi/10.1002/anie.202318582) corrects the chemical structure of DAT₂ (HT Matt from LIPID MAPS)

It cites five articles that had the wrong structure: "This means that a number of studies provides an incorrect structure of mycolipanolic acid and DAT₂. [9, 20, 21, 39]"

I annotated these citations with CiTO intentions and created a nanopublication: https://w3id.org/np/RApE4XpLLnxs3HtbYDNt5PvfLr0gaOeWSsc-4wt_iRnwE #epilipidnet

one main point they bring up is that using [M+Ag]+ a lot of MS properties improve, making metabolites a lot easier to detect, see e.g. https://scholia.toolforge.org/work/Q125934790 #epilipidnet

the third #epilipidnet meeting day has started,with a keynote by Prof. Ingela Lanekoff (#UppsalaUniversitet) focussing on new technologies to measure metabolites. Her @wdscholia page: https://scholia.toolforge.org/author/Q57079194

after the coffee break we continue with the #epilipidnet session on #lipidomics in health and disease (well, we say a lot of that already, but then again, human health does involve a lot of research funding). Here ceramides, like Cer(16:0) though not the class but a specific instance was shown on the slide (basically, wrong identifier; but this only stresses that we rather have some redundant/overlapping info than too little, leaving us to guessing).

if you wonder why #epilipidnet WG4 was missing, that's the WG where we're involved. Florian Gruber (the chair) presented some recent work on lipids in our skins and how cholesterol modulates restructuring of the membranes and the tissue structure. I (co-chair) presented the @wikipathways work (tho I see I should not have left out the @bridgedb slide) and the state of the #lipids portal (https://lipids.wikipathways.org/).

WG5 is the dissemination WG. Again, plenty of papers, but the games are particularly interesting. Lipodrome, Burn Your Fats! are two of them. #epilipidnet

WG3 is now presenting. One of the things shown by Alex Dickens (Turku) is results for validation of a mass scale device to measure blood lipids (#bileAcids).

Are we going to see a new era of diagnostics in human health? #epilipidnet

#epilipidnet WG2 showed their work, with lots of joint articles between participants.

I have to say, the #bioinformatics and #cheminformatics of all this knew knowledge gives me the right levels of excitement and challenge

the second #epilipidnet meeting day just started. WG1 now presents. Lots about sharing protocols, the model system workshop last September, and the importance of identifier mapping

I am attending the #epilipidnet meeting this week, about #lipidomics Yesterday we had the young researcher session, the first half of the poster session, and three keynotes: about the Maillard reactions in beer brewing (and we tasted the synthesized chemicals), tips for making good figures, and a lot about how the lipidome seems to do great to diagnose (early) obesity and diabetes. Even the organ origin of lipids in blood was discussed.

in collaboration with MaCSBio we today start the first #EpiLipidNET training school on Data Analysis Techniques for preprocessed Lipidomics data. This includes the #openscience @wikipathways and @bridgedb projects. See this earlier post: https://social.edu.nl/@bigcat_UM/112024997890956725

Today is the last day to register for the upcoming #EpiLipidNET Training School on Data Analysis Techniques for preprocessed #Lipidomics data. https://www.linkedin.com/posts/deniseslenter_epilipidnet-training-school-data-analysis-activity-7173609424324968449-VmAD

registration is open now: https://www.maastrichtuniversity.nl/events/epilipidnet-training-school-data-analysis-techniques-preprocessed-lipidomics-data #EpiLipidNet

Join the upcoming #EpiLipidNET Training School on Data Analysis Techniques for preprocessed Lipidomics data. The school is organized as a 3-day event from the 17th until the 19th of April, including various educational and training activities. https://www.maastrichtuniversity.nl/events/epilipidnet-training-school-data-analysis-techniques-preprocessed-lipidomics-data (more details in replies)

mark you calendar! "EpiLipidNET Training School: Data Analysis Techniques for preprocessed Lipidomics data" https://www.maastrichtuniversity.nl/events/epilipidnet-training-school-data-analysis-techniques-preprocessed-lipidomics-data #lipidomics #wikipathways #datascience #EpiLipidNet

the other session is about "Nutraceutical Lipids, Proteins and Biopeptides", and quite relevant to our #EpiLipidNET project. Enjoying the slides. #ACSFall2023