{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T23:37:29Z","timestamp":1774481849812,"version":"3.50.1"},"reference-count":57,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2024,3,31]],"date-time":"2024-03-31T00:00:00Z","timestamp":1711843200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"European Union\u2014NextGenerationEU under the Italian Ministry of University and Research (MUR) National Innovation Ecosystem","award":["ECS00000041"],"award-info":[{"award-number":["ECS00000041"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJMS"],"abstract":"<jats:p>T-cell acute lymphoblastic leukemia (T-ALL) is an aggressive tumor mainly affecting children and adolescents. It is driven by multiple genetic mutations that together define the leukemic phenotype. Interestingly, based on genetic alterations and\/or deregulated expression, at least six genetic subgroups have been recognized. The TAL\/LMO subgroup is one of the most represented genetic subgroups, characterizing 30\u201345% of pediatric T-ALL cases. The study of lipid and metabolic profiles is increasingly recognized as a valuable tool for comprehending the development and progression of tumors. In this study, metabolic and lipidomic analysis via LC\/MS have been carried out on four T-ALL cell lines belonging to the TAL\/LMO subgroup (Jurkat, Molt-4, Molt-16, and CCRF-CEM) to identify new potential metabolic biomarkers and to provide a subclassification of T-ALL cell lines belonging to the same subgroup. A total of 343 metabolites were annotated, including 126 polar metabolites and 217 lipid molecules. The statistical analysis, for both metabolic and lipid profiles, shows significant differences and similarities among the four cell lines. The Molt-4 cell line is the most distant cell line and CCRF-CEM shows a high activity in specific pathways when compared to the other cell lines, while Molt-16 and Jurkat show a similar metabolic profile. Additionally, this study highlighted the pathways that differ in each cell line and the possible enzymes involved using bioinformatic tools, capable of predicting the pathways involved by studying the differences in the metabolic profiles. This experiment offers an approach to differentiate T-ALL cell lines and could open the way to verify and confirm the obtained results directly in patients.<\/jats:p>","DOI":"10.3390\/ijms25073921","type":"journal-article","created":{"date-parts":[[2024,3,31]],"date-time":"2024-03-31T13:42:30Z","timestamp":1711892550000},"page":"3921","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Metabolic Profiling as an Approach to Differentiate T-Cell Acute Lymphoblastic Leukemia Cell Lines Belonging to the Same Genetic Subgroup"],"prefix":"10.3390","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9229-088X","authenticated-orcid":false,"given":"Husam B. R.","family":"Alabed","sequence":"first","affiliation":[{"name":"Department of Chemistry, Biology and Biotechnology, University of Perugia, 06100 Perugia, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5594-383X","authenticated-orcid":false,"given":"Roberto Maria","family":"Pellegrino","sequence":"additional","affiliation":[{"name":"Department of Chemistry, Biology and Biotechnology, University of Perugia, 06100 Perugia, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sandra","family":"Buratta","sequence":"additional","affiliation":[{"name":"Department of Chemistry, Biology and Biotechnology, University of Perugia, 06100 Perugia, Italy"},{"name":"Centro di Eccellenza sui Materiali Innovativi Nanostrutturati (CEMIN), University of Perugia, Via del Giochetto, 06123 Perugia, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5653-8307","authenticated-orcid":false,"given":"Anair Graciela","family":"Lema Fernandez","sequence":"additional","affiliation":[{"name":"Hematology and Bone Marrow Transplantation Unit, Laboratory of Molecular Medicine (CREO), Department of Medicine and Surgery, University of Perugia, 06132 Perugia, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5854-9846","authenticated-orcid":false,"given":"Roberta","family":"La Starza","sequence":"additional","affiliation":[{"name":"Hematology and Bone Marrow Transplantation Unit, Laboratory of Molecular Medicine (CREO), Department of Medicine and Surgery, University of Perugia, 06132 Perugia, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0621-8476","authenticated-orcid":false,"given":"Lorena","family":"Urbanelli","sequence":"additional","affiliation":[{"name":"Department of Chemistry, Biology and Biotechnology, University of Perugia, 06100 Perugia, Italy"},{"name":"Centro di Eccellenza sui Materiali Innovativi Nanostrutturati (CEMIN), University of Perugia, Via del Giochetto, 06123 Perugia, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cristina","family":"Mecucci","sequence":"additional","affiliation":[{"name":"Hematology and Bone Marrow Transplantation Unit, Laboratory of Molecular Medicine (CREO), Department of Medicine and Surgery, University of Perugia, 06132 Perugia, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Carla","family":"Emiliani","sequence":"additional","affiliation":[{"name":"Department of Chemistry, Biology and Biotechnology, University of Perugia, 06100 Perugia, Italy"},{"name":"Centro di Eccellenza sui Materiali Innovativi Nanostrutturati (CEMIN), University of Perugia, Via del Giochetto, 06123 Perugia, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2473-778X","authenticated-orcid":false,"given":"Paolo","family":"Gorello","sequence":"additional","affiliation":[{"name":"Department of Chemistry, Biology and Biotechnology, University of Perugia, 06100 Perugia, Italy"},{"name":"Centro di Eccellenza sui Materiali Innovativi Nanostrutturati (CEMIN), University of Perugia, Via del Giochetto, 06123 Perugia, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2024,3,31]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"3398","DOI":"10.1172\/JCI61269","article-title":"The Molecular Basis of T Cell Acute Lymphoblastic Leukemia","volume":"122","author":"Ferrando","year":"2012","journal-title":"J. Clin. Investig."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"833","DOI":"10.1182\/blood-2014-10-551895","article-title":"How I Treat T-Cell Acute Lymphoblastic Leukemia in Adults","volume":"126","author":"Litzow","year":"2015","journal-title":"Blood"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1002\/gcc.22416","article-title":"Pediatric T-cell Acute Lymphoblastic Leukemia","volume":"56","author":"Karrman","year":"2017","journal-title":"Genes Chromos. Cancer"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"160","DOI":"10.3324\/haematol.2008.004150","article-title":"T-Cell Acute Lymphoblastic Leukemia","volume":"94","author":"Chiaretti","year":"2009","journal-title":"Haematologica"},{"key":"ref_5","unstructured":"Puckett, Y., and Chan, O. (2023). Acute Lymphocytic Leukemia, StatPearls Publishing."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"274","DOI":"10.1016\/S0037-1963(03)00195-1","article-title":"Gene Expression Profiling in T-Cell Acute Lymphoblastic Leukemia","volume":"40","author":"Ferrando","year":"2003","journal-title":"Semin. Hematol."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"629","DOI":"10.1016\/j.jmoldx.2020.02.004","article-title":"Design of a Comprehensive Fluorescence in Situ Hybridization Assay for Genetic Classification of T-Cell Acute Lymphoblastic Leukemia","volume":"22","author":"Pierini","year":"2020","journal-title":"J. Mol. Diagn."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Atak, Z.K., Gianfelici, V., Hulselmans, G., De Keersmaecker, K., Devasia, A.G., Geerdens, E., Mentens, N., Chiaretti, S., Durinck, K., and Uyttebroeck, A. (2013). Comprehensive Analysis of Transcriptome Variation Uncovers Known and Novel Driver Events in T-Cell Acute Lymphoblastic Leukemia. PLoS Genet., 9.","DOI":"10.1371\/journal.pgen.1003997"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"2507","DOI":"10.1038\/s41467-021-22787-9","article-title":"V Proteomics of Resistance to Notch1 Inhibition in Acute Lymphoblastic Leukemia Reveals Targetable Kinase Signatures","volume":"12","author":"Franciosa","year":"2021","journal-title":"Nat. Commun."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Bardelli, V., Arniani, S., Pierini, V., Di Giacomo, D., Pierini, T., Gorello, P., Mecucci, C., and La Starza, R. (2021). T-Cell Acute Lymphoblastic Leukemia: Biomarkers and Their Clinical Usefulness. Genes, 12.","DOI":"10.3390\/genes12081118"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1111\/j.1365-2141.2008.07314.x","article-title":"Molecular-Genetic Insights in Paediatric T-Cell Acute Lymphoblastic Leukaemia","volume":"143","author":"Pieters","year":"2008","journal-title":"Br. J. Haematol."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"727","DOI":"10.1021\/acs.jproteome.1c00754","article-title":"Comprehensive Metabolomics and Lipidomics Profiling of Prostate Cancer Tissue Reveals Metabolic Dysregulations Associated with Disease Development","volume":"21","author":"Lima","year":"2022","journal-title":"J. Proteome Res."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"146","DOI":"10.1007\/s11306-016-1093-7","article-title":"Monitoring Cancer Prognosis, Diagnosis and Treatment Efficacy Using Metabolomics and Lipidomics","volume":"12","author":"Armitage","year":"2016","journal-title":"Metabolomics"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1016\/j.jgg.2019.11.009","article-title":"Integration of Lipidomics and Metabolomics for In-Depth Understanding of Cellular Mechanism and Disease Progression","volume":"47","author":"Wang","year":"2020","journal-title":"J. Genet. Genom."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1016\/j.aca.2019.01.043","article-title":"Tutorial on Lipidomics","volume":"1061","author":"Wang","year":"2019","journal-title":"Anal. Chim. Acta"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"4716","DOI":"10.1002\/pmic.200600106","article-title":"Metabolomics: Current Technologies and Future Trends","volume":"6","author":"Hollywood","year":"2006","journal-title":"Proteomics"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"2191","DOI":"10.1007\/s00216-019-02241-y","article-title":"Lipidomics from Sample Preparation to Data Analysis: A Primer","volume":"412","year":"2020","journal-title":"Anal. Bioanal. Chem."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Harrieder, E.-M., Kretschmer, F., B\u00f6cker, S., and Witting, M. (2022). Current State-of-the-Art of Separation Methods Used in LC-MS Based Metabolomics and Lipidomics. J. Chromatogr. B Analyt. Technol. Biomed. Life Sci., 1188.","DOI":"10.1016\/j.jchromb.2021.123069"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"W388","DOI":"10.1093\/nar\/gkab382","article-title":"MetaboAnalyst 5.0: Narrowing the Gap between Raw Spectra and Functional Insights","volume":"49","author":"Pang","year":"2021","journal-title":"Nucleic Acids Res."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"W527","DOI":"10.1093\/nar\/gkac376","article-title":"OmicsNet 2.0: A Web-Based Platform for Multi-Omics Integration and Network Visual Analytics","volume":"50","author":"Zhou","year":"2022","journal-title":"Nucleic Acids Res."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"1767","DOI":"10.1093\/bioinformatics\/btab867","article-title":"LipidOne: User-Friendly Lipidomic Data Analysis Tool for a Deeper Interpretation in a Systems Biology Scenario","volume":"38","author":"Pellegrino","year":"2022","journal-title":"Bioinformatics"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"4","DOI":"10.12688\/f1000research.28022.1","article-title":"BioPAN: A Web-Based Tool to Explore Mammalian Lipidome Metabolic Pathways on LIPID MAPS","volume":"10","author":"Gaud","year":"2021","journal-title":"F1000Research"},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Park, J.Y., Lee, S.-H., Shin, M.-J., and Hwang, G.-S. (2015). Alteration in Metabolic Signature and Lipid Metabolism in Patients with Angina Pectoris and Myocardial Infarction. PLoS ONE, 10.","DOI":"10.1371\/journal.pone.0135228"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"590","DOI":"10.1016\/j.bbrc.2018.04.106","article-title":"Lipidomic Insight into Cardiovascular Diseases","volume":"504","author":"Kohno","year":"2018","journal-title":"Biochem. Biophys. Res. Commun."},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Alabed, H.B.R., Gorello, P., Pellegrino, R.M., Lancioni, H., La Starza, R., Taddei, A.A., Urbanelli, L., Buratta, S., Fernandez, A.G.L., and Matteucci, C. (2023). Comparison between Sickle Cell Disease Patients and Healthy Donors: Untargeted Lipidomic Study of Erythrocytes. Int. J. Mol. Sci., 24.","DOI":"10.3390\/ijms24032529"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"54","DOI":"10.1016\/j.cca.2019.08.030","article-title":"Chronic Kidney Disease: Biomarker Diagnosis to Therapeutic Targets","volume":"499","author":"Wang","year":"2019","journal-title":"Clin. Chim. Acta"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1038\/npp.2013.167","article-title":"Mass Spectrometry Strategies for Clinical Metabolomics and Lipidomics in Psychiatry, Neurology, and Neuro-Oncology","volume":"39","author":"Wood","year":"2014","journal-title":"Neuropsychopharmacology"},{"key":"ref_28","first-page":"857","article-title":"Lipidomic and Metabolomic Profiling Reveals Novel Candidate Biomarkers in Active Systemic Lupus Erythematosus","volume":"12","author":"Li","year":"2019","journal-title":"Int. J. Clin. Exp. Pathol."},{"key":"ref_29","first-page":"595","article-title":"The Metabolomics and Lipidomics Window into Thyroid Cancer Research","volume":"22","author":"Soroush","year":"2016","journal-title":"Biomarkers"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1016\/S0145-2126(98)00133-7","article-title":"Heterogeneity of T-Acute Lymphoblastic Leukemia (T-ALL) Cell Lines: Suggestion for Classification by Immunophenotype and T-Cell Receptor Studies","volume":"23","author":"Burger","year":"1999","journal-title":"Leuk. Res."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"2353","DOI":"10.1007\/s00216-020-02460-8","article-title":"Lipid Metabolism of Leukocytes in the Unstimulated and Activated States","volume":"412","author":"Brouwers","year":"2020","journal-title":"Anal. Bioanal. Chem."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"5836","DOI":"10.1021\/jacs.1c00944","article-title":"Lipid-Oriented Live-Cell Distinction of B and T Lymphocytes","volume":"143","author":"Kwon","year":"2021","journal-title":"J. Am. Chem. Soc."},{"key":"ref_33","first-page":"34","article-title":"Tryptophan-Degrading Enzymes in Tumoral Immune Resistance","volume":"6","year":"2015","journal-title":"Front. Immunol."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"3143","DOI":"10.1016\/j.bbagen.2012.09.008","article-title":"Glutathione Synthesis","volume":"1830","author":"Lu","year":"2013","journal-title":"Biochim. Biophys. Acta (BBA) Gen. Subj."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"2291","DOI":"10.1083\/jcb.201804161","article-title":"Glutathione Metabolism in Cancer Progression and Treatment Resistance","volume":"217","author":"Bansal","year":"2018","journal-title":"J. Cell Biol."},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Cheng, C.-T., Qi, Y., Wang, Y.-C., Chi, K.K., Chung, Y., Ouyang, C., Chen, Y.-R., Oh, M.E., Sheng, X., and Tang, Y. (2018). Arginine Starvation Kills Tumor Cells through Aspartate Exhaustion and Mitochondrial Dysfunction. Commun. Biol., 1.","DOI":"10.1038\/s42003-018-0178-4"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"1697","DOI":"10.3389\/fimmu.2018.01697","article-title":"Potential Mechanisms Connecting Purine Metabolism and Cancer Therapy","volume":"9","author":"Yin","year":"2018","journal-title":"Front. Immunol."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"12587","DOI":"10.18632\/oncotarget.3494","article-title":"Myc-Dependent Purine Biosynthesis Affects Nucleolar Stress and Therapy Response in Prostate Cancer","volume":"6","author":"Barfeld","year":"2015","journal-title":"Oncotarget"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"23445","DOI":"10.18632\/oncotarget.4352","article-title":"Role and Regulation of Coordinately Expressed de Novo Purine Biosynthetic Enzymes PPAT and PAICS in Lung Cancer","volume":"6","author":"Goswami","year":"2015","journal-title":"Oncotarget"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"1836","DOI":"10.1002\/jcp.25944","article-title":"Role of Adenosine Signaling in the Pathogenesis of Breast Cancer","volume":"233","author":"Bahreyni","year":"2018","journal-title":"J. Cell Physiol."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"383","DOI":"10.1038\/s41375-021-01369-0","article-title":"Targeting Leukemia-Specific Dependence on the de Novo Purine Synthesis Pathway","volume":"36","author":"Yamauchi","year":"2022","journal-title":"Leukemia"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"e97506","DOI":"10.1172\/jci.insight.97506","article-title":"The Phosphatidic Acid Phosphatase Lipin-1 Facilitates Inflammation-Driven Colon Carcinogenesis","volume":"3","author":"Meana","year":"2018","journal-title":"JCI Insight"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"2893","DOI":"10.1096\/fj.201601353R","article-title":"Lipin-1 Regulation of Phospholipid Synthesis Maintains Endoplasmic Reticulum Homeostasis and Is Critical for Triple-Negative Breast Cancer Cell Survival","volume":"31","author":"He","year":"2017","journal-title":"FASEB J."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"e933","DOI":"10.1038\/cddis.2013.453","article-title":"Choline Kinase Inhibition Induces Exacerbated Endoplasmic Reticulum Stress and Triggers Apoptosis via CHOP in Cancer Cells","volume":"4","author":"Zimmerman","year":"2013","journal-title":"Cell Death Dis."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1002\/1873-3468.14237","article-title":"Expanding Role of PI5P4Ks in Cancer: A Promising Druggable Target","volume":"596","author":"Arora","year":"2022","journal-title":"FEBS Lett."},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"Yamashita, Y., Nishiumi, S., Kono, S., Takao, S., Azuma, T., and Yoshida, M. (2017). Differences in Elongation of Very Long Chain Fatty Acids and Fatty Acid Metabolism between Triple-Negative and Hormone Receptor-Positive Breast Cancer. BMC Cancer, 17.","DOI":"10.1186\/s12885-017-3554-4"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"2383","DOI":"10.1194\/jlr.M090050","article-title":"Polyunsaturated Fatty Acid Elongation and Desaturation in Activated Human T-Cells: ELOVL5 Is the Key Elongase","volume":"59","author":"Robichaud","year":"2018","journal-title":"J. Lipid Res."},{"key":"ref_48","doi-asserted-by":"crossref","unstructured":"Stefanko, A., Thiede, C., Ehninger, G., Simons, K., and Grzybek, M. (2017). Lipidomic Approach for Stratification of Acute Myeloid Leukemia Patients. PLoS ONE, 12.","DOI":"10.1371\/journal.pone.0168781"},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1016\/j.ccr.2012.06.007","article-title":"Core Transcriptional Regulatory Circuit Controlled by the TAL1 Complex in Human T Cell Acute Lymphoblastic Leukemia","volume":"22","author":"Sanda","year":"2012","journal-title":"Cancer Cell"},{"key":"ref_50","doi-asserted-by":"crossref","unstructured":"Sharma, A., Mistriel-Zerbib, S., Najar, R.A., Engal, E., Bentata, M., Taqatqa, N., Dahan, S., Cohen, K., Jaffe-Herman, S., and Geminder, O. (2023). Isoforms of the TAL1 Transcription Factor Have Different Roles in Hematopoiesis and Cell Growth. PLoS Biol., 21.","DOI":"10.1371\/journal.pbio.3002175"},{"key":"ref_51","doi-asserted-by":"crossref","unstructured":"Cajka, T., Hricko, J., Rudl Kulhava, L., Paucova, M., Novakova, M., and Kuda, O. (2023). Optimization of Mobile Phase Modifiers for Fast LC-MS-Based Untargeted Metabolomics and Lipidomics. Int. J. Mol. Sci., 24.","DOI":"10.3390\/ijms24031987"},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"7937","DOI":"10.1007\/s00216-014-8255-0","article-title":"LC\/MS Lipid Profiling from Human Serum: A New Method for Global Lipid Extraction","volume":"406","author":"Pellegrino","year":"2014","journal-title":"Anal. Bioanal. Chem."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"767801","DOI":"10.3389\/fnut.2021.767801","article-title":"Determination of 35 Free Amino Acids in Tea Using Ultra-Performance Liquid Chromatography Coupled with Quadrupole Time-of-Flight Mass Spectrometry","volume":"8","author":"Li","year":"2021","journal-title":"Front. Nutr."},{"key":"ref_54","doi-asserted-by":"crossref","unstructured":"Alabed, H.B.R., Del Grosso, A., Bellani, V., Urbanelli, L., Carpi, S., De Sarlo, M., Bertocci, L., Colagiorgio, L., Buratta, S., and Scaccini, L. (2023). Untargeted Lipidomic Approach for Studying Different Nervous System Tissues of the Murine Model of Krabbe Disease. Biomolecules, 13.","DOI":"10.3390\/biom13101562"},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"1159","DOI":"10.1038\/s41587-020-0531-2","article-title":"A Lipidome Atlas in MS-DIAL 4","volume":"38","author":"Tsugawa","year":"2020","journal-title":"Nat. Biotechnol."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"1539","DOI":"10.1194\/jlr.S120001025","article-title":"Update on LIPID MAPS Classification, Nomenclature, and Shorthand Notation for MS-Derived Lipid Structures","volume":"61","author":"Liebisch","year":"2020","journal-title":"J. Lipid Res."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"2909","DOI":"10.1021\/acs.analchem.2c04518","article-title":"Lipid Spectrum Generator: A Simple Script for the Generation of Accurate In Silico Lipid Fragmentation Spectra","volume":"95","author":"Gertner","year":"2023","journal-title":"Anal. Chem."}],"container-title":["International Journal of Molecular Sciences"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1422-0067\/25\/7\/3921\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T14:21:57Z","timestamp":1760106117000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1422-0067\/25\/7\/3921"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,3,31]]},"references-count":57,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2024,4]]}},"alternative-id":["ijms25073921"],"URL":"https:\/\/doi.org\/10.3390\/ijms25073921","relation":{},"ISSN":["1422-0067"],"issn-type":[{"value":"1422-0067","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,3,31]]}}}