BEGIN:VCALENDAR VERSION:2.0 PRODID:icalendar-ruby CALSCALE:GREGORIAN BEGIN:VEVENT DTSTAMP:20260711T073724Z UID:20ca5aeb-1dc6-480b-b3ed-d3239fabbbce DTSTART:20250921T070000Z DTEND:20250921T150000Z DESCRIPTION:Educators:\nDominik Schwudke (Research Center Borstel – Leibn iz Lung Center\, Borstel\, Germany\, BioInfra.Prot\, LIFS)\nLisa Hahnefeld (Goethe University &\; Fraunhofer ITMP\, Frankfurt\, Germany)\nNils Ho ffmann (Forschungszentrum Jülich GmbH\, Outbranch Office Bielefeld\, Germ any &\; University of Vienna\, Austria\, BioInfra.Prot\, LIFS)\n\nLocat ion:\nOn-Site training as part of 65th ICBL Conference in Innsbruck\, Aus tria\n\nDate &\; Time:\nSunday\, September 27th 2025\n11:00 - 17:00\n\n Content:\n\nWorkshop 1: Lipidomics analyses and its specific challenges\nD ominik Schwudke\, Research Center Borstel - Leibniz Lung Center\, Borstel\ , Germany\n\nLipidomics results\, in terms of identification and quantitat ion of lipid components require some specific considerations to be able to further our knowledge on membrane organization and lipid metabolism. I wi ll discuss some basic rules for interpreting membrane and storage lipid pr ofiles in context of analytical limits but also redundancy in biological s ystems. While certain conserved compositional patterns are formed in eukar yotic systems based on known chemical building blocks\, the causes of pert urbed lipid homeostasis are often hard to assign to a specific biochemical process and might require further kinetic and spatial information. In thi s regard\, I will discuss importance of experimental design of lipidomics studies to reach a level of functional interpretation in lipid metabolism research and give some insights how we adapted our experimental strategies accordingly.\n\nWorkshop 2: Experimental designs and its consequences for preanalytics in lipidomics studies \nLisa Hahnefeld\, Goethe University F rankfurt &\; Fraunhofer ITMP\, Frankfurt\, Germany\n\nLipidomics has em erged as a powerful tool for understanding physiological and pathophysiolo gical processes\, yet the reliability of lipidomic data is profoundly infl uenced by experimental design and preanalytical variables. Researchers foc using on lipid biology\, even if not directly involved in mass spectrometr y\, need to be aware of how factors such as nutritional status\, fasting\, and exercise can impact the lipidomic profile. Moreover\, sample collecti on and preparation steps\, often considered routine\, can introduce signif icant variability and bias into analytical results.\n\nIn this workshop\, we will review a range of preanalytical studies addressing both human and animal lipidomics experiments. Through case studies and examples from prev ious research\, we will highlight common challenges encountered in the han dling of blood\, tissue\, and cellular samples. Specific attention will be given to how variations in donor conditions\, sample processing\, and sto rage influence lipid measurements. We will further discuss methodological considerations crucial for minimizing artifacts and ensuring robustness in experimental workflows. By examining the consequences of these preanalyti cal factors\, participants will gain practical insights into optimizing th eir own study designs.\n\nUltimately\, this workshop will underscore the f undamental importance of thoughtful experimental planning and rigorous pre analytical practices in lipidomics research. Attendees will learn how to i dentify and mitigate preanalytical pitfalls\, thereby enhancing the reprod ucibility and interpretability of their studies. This knowledge is essenti al for generating meaningful and reliable data.\n\nWorkshop 3: LIFS Bioinf ormatics Tools\, Nomenclature\, Evidence and Reporting\nNils Hoffmann\, Fo rschungszentrum Jülich GmbH\, Germany &\; University of Vienna\, Austr ia\n\nCompared to more established fields like proteomics\, mass spectrome try-based lipidomics still faces significant challenges in terms of availa bility and quality. To address this\, a suite of open-source tools and FAI R (Findable\, Accessible\, Interoperable\, Reusable) data standards have b een developed by the Lipidomics Informatics for Life Science (LIFS) consor tium\, which is part of the German Network for Bioinformatics Infrastructu re (de.NBI). Close collaboration has been established with the Internation al Lipidomics Society and the HUPO-PSI to advance lipidomics tools and dat a standards. The tools are available as libraries and as standalone and we b-based applications. They enable the processing and analysis of targeted and untargeted lipidomics data and provide functionality for statistical a nalysis\, comparison and visualization\, as well as fort he harmonization of study details reporting and lipid nomenclature\, while promoting collab oration through liberal licensing.\n\nIn this workshop\, we will provide a n overview of the current bioinformatics challenges involved in analysing lipids using mass spectrometry\, both qualitatively and quantitatively\, a nd explain how adhering to FAIR data principles ultimately simplifies anal ysis and research for both humans and machines. We will discuss and demons trate how tools such as LipidCreator\, LipidXplorer\, Goslin and the Lipid omics Checklist can help to better handle the complexity and ambiguity of lipid identification\, and how results should be reported to enable others to understand\, interpret and\, ideally\, reproduce them correctly. Final ly\, we will discuss the options and benefits of depositing lipidomics dat a to improve both findability and reusability.\n\nLearning goals:\nThe wor kshops aim to enhance understanding of lipidomics challenges\, including i nterpreting lipid profiles\, designing robust experiments\, and addressing analytical limitations. They emphasize the critical role of preanalytical factors and experimental planning in ensuring reliable lipidomic data. Fi nally\, they promote the use of standardized bioinformatics tools\, FAIR d ata principles\, and reproducible reporting to advance lipidomics research .\n\nPrerequisites:\nThe workshop is targeted towards early career scienti sts like PhD students and Postdocs\, but also experienced scientists\, who want to learn more about Lipidomics\, Pre-Analytics and Bioinformatics fo r Lipidomics.\n\nParticipants are asked to bring a laptop running MS Windo ws if they wish to follow the examples or try out the software.\n\nKeyword s:\nPre-Analytics\, Lipidomics\, Shotgun\, Targeted Analysis\, LC-MSn\, Bi oinformatics\, Reporting\n\nTools:\nLipidXplorer\, LipidCreator\, Skyline\ , Goslin\, lxPostman\, LipidSpace\, Reporting Checklist\, LipidCompass\n\n Registration:\nPlease register for the workshops during the ICBL conferenc e registration process. The participation is free of charge and included i n the overall conference registration fee. LOCATION:Innsbruck SUMMARY:Lipidomics & Bioinformatics Workshops - ICBL 2025 URL;VALUE=URI:https://www.denbi.de/training-courses-2025/1907-lipidomics-bi oinformatics-workshops-icbl-2025 END:VEVENT END:VCALENDAR