{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["10(9)"],"submitter":["Panzenboeck L"],"pubmed_abstract":["Glycosyl inositol phospho ceramides (GIPCs) are the major sphingolipids on earth, as they account for a considerable fraction of the total lipids in plants and fungi, which in turn represent a large portion of the biomass on earth. Despite their obvious importance, GIPC analysis remains challenging due to the lack of commercial standards and automated annotation software. In this work, we introduce a novel GIPC glycolipidomics workflow based on reversed-phase ultra-high pressure liquid chromatography coupled to high-resolution mass spectrometry. For the first time, automated GIPC assignment was performed using the open-source software Lipid Data Analyzer (LDA), based on platform-independent decision rules. Four different plant samples (salad, spinach, raspberry, and strawberry) were analyz"],"journal":["Metabolites"],"pagination":["E375"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC7570276"],"repository":["biostudies-literature"],"pubmed_title":["Chasing the Major Sphingolipids on Earth: Automated Annotation of Plant Glycosyl Inositol Phospho Ceramides by Glycolipidomics."],"pmcid":["PMC7570276"],"pubmed_authors":["Schlachter S","Hartler J","Panzenboeck L","Rampler E","Koellensperger G","Troppmair N"],"additional_accession":[]},"is_claimable":false,"name":"Chasing the Major Sphingolipids on Earth: Automated Annotation of Plant Glycosyl Inositol Phospho Ceramides by Glycolipidomics.","description":"Glycosyl inositol phospho ceramides (GIPCs) are the major sphingolipids on earth, as they account for a considerable fraction of the total lipids in plants and fungi, which in turn represent a large portion of the biomass on earth. Despite their obvious importance, GIPC analysis remains challenging due to the lack of commercial standards and automated annotation software. In this work, we introduce a novel GIPC glycolipidomics workflow based on reversed-phase ultra-high pressure liquid chromatography coupled to high-resolution mass spectrometry. For the first time, automated GIPC assignment was performed using the open-source software Lipid Data Analyzer (LDA), based on platform-independent decision rules. Four different plant samples (salad, spinach, raspberry, and strawberry) were analyz","dates":{"release":"2020-01-01T00:00:00Z","publication":"2020 Sep","modification":"2025-04-27T01:56:57.079Z","creation":"2020-10-31T09:59:16Z"},"accession":"S-EPMC7570276","cross_references":{"pubmed":["32961698"],"doi":["10.3390/metabo10090375"]}}