{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,4]],"date-time":"2026-03-04T22:41:02Z","timestamp":1772664062446,"version":"3.50.1"},"reference-count":58,"publisher":"Oxford University Press (OUP)","issue":"1","license":[{"start":{"date-parts":[[2023,1,2]],"date-time":"2023-01-02T00:00:00Z","timestamp":1672617600000},"content-version":"vor","delay-in-days":1,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,1,19]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Lipidomics is of growing importance for clinical and biomedical research due to many associations between lipid metabolism and diseases. The discovery of these associations is facilitated by improved lipid identification and quantification. Sophisticated computational methods are advantageous for interpreting such large-scale data for understanding metabolic processes and their underlying (patho)mechanisms. To generate hypothesis about these mechanisms, the combination of metabolic networks and graph algorithms is a powerful option to pinpoint molecular disease drivers and their interactions. Here we present lipid network explorer (LINEX$^2$), a lipid network analysis framework that fuels biological interpretation of alterations in lipid compositions. By integrating lipid-metabolic reactions from public databases, we generate dataset-specific lipid interaction networks. To aid interpretation of these networks, we present an enrichment graph algorithm that infers changes in enzymatic activity in the context of their multispecificity from lipidomics data. Our inference method successfully recovered the MBOAT7 enzyme from knock-out data. Furthermore, we mechanistically interpret lipidomic alterations of adipocytes in obesity by leveraging network enrichment and lipid moieties. We address the general lack of lipidomics data mining options to elucidate potential disease mechanisms and make lipidomics more clinically relevant.<\/jats:p>","DOI":"10.1093\/bib\/bbac572","type":"journal-article","created":{"date-parts":[[2022,11,29]],"date-time":"2022-11-29T01:13:57Z","timestamp":1669684437000},"source":"Crossref","is-referenced-by-count":40,"title":["Lipid network and moiety analysis for revealing enzymatic dysregulation and mechanistic alterations from lipidomics data"],"prefix":"10.1093","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5491-7330","authenticated-orcid":false,"given":"Tim D","family":"Rose","sequence":"first","affiliation":[{"name":"LipiTUM, Chair of Experimental Bioinformatics, TUM School of Life Sciences, Technical University of Munich , 85354 Freising , Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5103-883X","authenticated-orcid":false,"given":"Nikolai","family":"K\u00f6hler","sequence":"additional","affiliation":[{"name":"LipiTUM, Chair of Experimental Bioinformatics, TUM School of Life Sciences, Technical University of Munich , 85354 Freising , Germany"}]},{"given":"Lisa","family":"Falk","sequence":"additional","affiliation":[{"name":"LipiTUM, Chair of Experimental Bioinformatics, TUM School of Life Sciences, Technical University of Munich , 85354 Freising , Germany"}]},{"given":"Lucie","family":"Klischat","sequence":"additional","affiliation":[{"name":"LipiTUM, Chair of Experimental Bioinformatics, TUM School of Life Sciences, Technical University of Munich , 85354 Freising , Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9546-7807","authenticated-orcid":false,"given":"Olga E","family":"Lazareva","sequence":"additional","affiliation":[{"name":"Chair of Experimental Bioinformatics, TUM School of Life Sciences, Technical University of Munich , 85354 Freising , Germany"},{"name":"Division of Computational Genomics and Systems Genetics, German Cancer Research Center (DKFZ) , 69120 Heidelberg , Germany"},{"name":"Junior Clinical Cooperation Unit Multiparametric methods for early detection of prostate cancer, German Cancer Research Center (DKFZ) , Heidelberg , Germany"},{"name":"European Molecular Biology Laboratory, Genome Biology Unit , 69117 Heidelberg , Germany"}]},{"given":"Josch K","family":"Pauling","sequence":"additional","affiliation":[{"name":"LipiTUM, Chair of Experimental Bioinformatics, TUM School of Life Sciences, Technical University of Munich , 85354 Freising , Germany"}]}],"member":"286","published-online":{"date-parts":[[2023,1,2]]},"reference":[{"issue":"2","key":"2023011917114080300_ref1","doi-asserted-by":"crossref","first-page":"128","DOI":"10.1038\/nrn2059","article-title":"Lipid raft microdomains and neurotransmitter 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