Julijana Ivanisevic

Publications | Phd and Masters theses

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76 publications

2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2011 | 2009 |
2024
E2F transcription factor-1 modulates expression of glutamine metabolic genes in mouse embryonic fibroblasts and uterine sarcoma cells
Huber Katharina, Giralt Albert, Dreos René, Michenthaler Helene, Geller Sarah, Barquissau Valentin, Ziegler Dorian V., Tavernari Daniele, Gallart-Ayala Hector, Krajina Katarina et al., 2024/06. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research, 1871 (5) p. 119721. Peer-reviewed.
[DOI][Pmid][serval:BIB_5EAE29F4CAA9]
 
Inhibition of CERS1 in skeletal muscle exacerbates age-related muscle dysfunction.
Wohlwend M., Laurila P.P., Goeminne LJE, Lima T., Daskalaki I., Li X., von Alvensleben G., Crisol B., Mangione R., Gallart-Ayala H. et al., 2024/03/20. eLife, 12. Peer-reviewed.
[DOI][Pmid][serval:BIB_C3A4DE2C07E9]
 
Cis-regulatory polymorphism at fiz ecdysone oxidase contributes to polygenic evolutionary response to malnutrition in Drosophila.
Cavigliasso F., Savitsky M., Koval A., Erkosar B., Savary L., Gallart-Ayala H., Ivanisevic J., Katanaev V.L., Kawecki T.J., 2024/03. PLoS genetics, 20 (3) pp. e1011204. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_F15376C12121]
2023
 
Evolutionary adaptation to juvenile malnutrition impacts adult metabolism and impairs adult fitness in Drosophila.
Erkosar B., Dupuis C., Cavigliasso F., Savary L., Kremmer L., Gallart-Ayala H., Ivanisevic J., Kawecki T.J., 2023/10/17. eLife, 12 pp. e92465. Peer-reviewed.
[DOI][Pmid][serval:BIB_65D51017EB43]
Experimental evolution of metabolism under nutrient restriction: enhanced amino acid catabolism and a key role of branched-chain amino acids
Cavigliasso F., Savary L., Spangenberg J. E, Gallart-Ayala H., Ivanisevic J., Kawecki T. J., 2023/05/18. Evolution Letters, 7 pp. 273–284. Peer-reviewed.
[URN][DOI][WoS][serval:BIB_30364A94A551]
 
Inhibiting de novo ceramide synthesis restores mitochondrial and protein homeostasis in muscle aging.
Lima T.I., Laurila P.P., Wohlwend M., Morel J.D., Goeminne LJE, Li H., Romani M., Li X., Oh C.M., Park D. et al., 2023/05/17. Science translational medicine, 15 (696) pp. eade6509. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_B2E6A264A1BB]
 
Omic-Scale High-Throughput Quantitative LC-MS/MS Approach for Circulatory Lipid Phenotyping in Clinical Research.
Medina J., Borreggine R., Teav T., Gao L., Ji S., Carrard J., Jones C., Blomberg N., Jech M., Atkins A. et al., 2023/02/14. Analytical chemistry, 95 (6) pp. 3168-3179. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_A6F97009DF82]
Divergence in metabolomic profile in clownfish and damselfish skin mucus
Heim S., Teav T., Gallart-Ayala H., Ivanisevic J., Salamin N., 2023/02/07. Frontiers in Ecology and Evolution, 11.
[URN][DOI][WoS][serval:BIB_6E38BFCA1196]
PI5P4Kα supports prostate cancer metabolism and exposes a survival vulnerability during androgen receptor inhibition.
Triscott J., Reist M., Küng L., Moselle F.C., Lehner M., Gallon J., Ravi A., Arora G.K., de Brot S., Lundquist M. et al., 2023/02/03. Science advances, 9 (5) pp. eade8641. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_657ED3C3AF19]
Molecular insights into sex-specific metabolic alterations in Alzheimer's mouse brain using multi-omics approach.
Strefeler A., Jan M., Quadroni M., Teav T., Rosenberg N., Chatton J.Y., Guex N., Gallart-Ayala H., Ivanisevic J., 2023/01/09. Alzheimer's research & therapy, 15 (1) p. 8. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_5426CE38C858]
2022
 
Sphingolipids accumulate in aged muscle, and their reduction counteracts sarcopenia.
Laurila P.P., Wohlwend M., Imamura de Lima T., Luan P., Herzig S., Zanou N., Crisol B., Bou-Sleiman M., Porcu E., Gallart-Ayala H. et al., 2022/12. Nature aging, 2 (12) pp. 1159-1175. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_05ED6592DE02]
A combination of plasma membrane sterol biosynthesis and autophagy is required for shade-induced hypocotyl elongation.
Ince Y.Ç., Krahmer J., Fiorucci A.S., Trevisan M., Galvão V.C., Wigger L., Pradervand S., Fouillen L., Van Delft P., Genva M. et al., 2022/10/10. Nature communications, 13 (1) p. 5659. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_FC24C76DB11B]
Integrative systems analysis identifies genetic and dietary modulators of bile acid homeostasis
Li Hao, Perino Alessia, Huang Qingyao, Von Alvensleben Giacomo V.G., Banaei-Esfahani Amir, Velazquez-Villegas Laura A., Gariani Karim, Korbelius Melanie, Bou Sleiman Maroun, Imbach Jéromine et al., 2022/10. Cell Metabolism, 34 (10) pp. 1594-1610.e4.
[URN][DOI][WoS][Pmid][serval:BIB_99A2A3173FDF]
Gut microbiota severely hampers the efficacy of NAD-lowering therapy in leukemia.
ElMokh O., Matsumoto S., Biniecka P., Bellotti A., Schaeuble K., Piacente F., Gallart-Ayala H., Ivanisevic J., Stamenkovic I., Nencioni A. et al., 2022/04/08. Cell death & disease, 13 (4) p. 320. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_D8A172BF5015]
 
PERK is a critical metabolic hub for immunosuppressive function in macrophages.
Raines L.N., Zhao H., Wang Y., Chen H.Y., Gallart-Ayala H., Hsueh P.C., Cao W., Koh Y., Alamonte-Loya A., Liu P.S. et al., 2022/03. Nature immunology, 23 (3) pp. 431-445. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_8642BC35A947]
The Metabolic Signature of Cardiorespiratory Fitness: A Systematic Review.
Carrard J., Guerini C., Appenzeller-Herzog C., Infanger D., Königstein K., Streese L., Hinrichs T., Hanssen H., Gallart-Ayala H., Ivanisevic J. et al., 2022/03. Sports medicine, 52 (3) pp. 527-546. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_E70A1EF7FC18]
Inhibition of sphingolipid de novo synthesis counteracts muscular dystrophy.
Laurila P.P., Luan P., Wohlwend M., Zanou N., Crisol B., Imamura de Lima T., Goeminne LJE, Gallart-Ayala H., Shong M., Ivanisevic J. et al., 2022/01/28. Science advances, 8 (4) pp. eabh4423. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_95F002D1A653]
2021
Tumor-induced reshuffling of lipid composition on the endoplasmic reticulum membrane sustains macrophage survival and pro-tumorigenic activity.
Di Conza G., Tsai C.H., Gallart-Ayala H., Yu Y.R., Franco F., Zaffalon L., Xie X., Li X., Xiao Z., Raines L.N. et al., 2021/11. Nature immunology, 22 (11) pp. 1403-1415. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_38FF542D6B24]
Sex-specific alterations in NAD+ metabolism in 3xTg Alzheimer's disease mouse brain assessed by quantitative targeted LC-MS.
van der Velpen V., Rosenberg N., Maillard V., Teav T., Chatton J.Y., Gallart-Ayala H., Ivanisevic J., 2021/10. Journal of neurochemistry, 159 (2) pp. 378-388. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_5D51BE80F319]
How Ceramides Orchestrate Cardiometabolic Health-An Ode to Physically Active Living.
Carrard J., Gallart-Ayala H., Weber N., Colledge F., Streese L., Hanssen H., Schmied C., Ivanisevic J., Schmidt-Trucksäss A., 2021/09/30. Metabolites, 11 (10) p. 675. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_2473B0317EFA]
 
The fate of orally administered sialic acid: First insights from patients with N-acetylneuraminic acid synthase deficiency and control subjects.
Tran C., Turolla L., Ballhausen D., Buros S.C., Teav T., Gallart-Ayala H., Ivanisevic J., Faouzi M., Lefeber D.J., Ivanovski I. et al., 2021/09. Molecular genetics and metabolism reports, 28 p. 100777. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_965C3E713BFF]
Central anorexigenic actions of bile acids are mediated by TGR5.
Perino A., Velázquez-Villegas L.A., Bresciani N., Sun Y., Huang Q., Fénelon V.S., Castellanos-Jankiewicz A., Zizzari P., Bruschetta G., Jin S. et al., 2021/05. Nature metabolism, 3 (5) pp. 595-603. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_1E3DA78B4448]
Metabolic View on Human Healthspan: A Lipidome-Wide Association Study.
Carrard J., Gallart-Ayala H., Infanger D., Teav T., Wagner J., Knaier R., Colledge F., Streese L., Königstein K., Hinrichs T. et al., 2021/04/30. Metabolites, 11 (5) p. 287. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_55F845447D26]
DBnorm as an R package for the comparison and selection of appropriate statistical methods for batch effect correction in metabolomic studies.
Bararpour N., Gilardi F., Carmeli C., Sidibe J., Ivanisevic J., Caputo T., Augsburger M., Grabherr S., Desvergne B., Guex N. et al., 2021/03/11. Scientific reports, 11 (1) p. 5657. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_C00E7D1EAE17]
Metabolic Impairment in Coronary Artery Disease: Elevated Serum Acylcarnitines Under the Spotlights.
Gander J., Carrard J., Gallart-Ayala H., Borreggine R., Teav T., Infanger D., Colledge F., Streese L., Wagner J., Klenk C. et al., 2021. Frontiers in cardiovascular medicine, 8 p. 792350. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_527CE95DF0A7]
The metabolic signature of cardiorespiratory fitness: a protocol for a systematic review and meta-analysis.
Carrard J., Guerini C., Appenzeller-Herzog C., Infanger D., Königstein K., Streese L., Hinrichs T., Hanssen H., Gallart-Ayala H., Ivanisevic J. et al., 2021. BMJ open sport & exercise medicine, 7 (1) pp. e001008. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_AAC03C2B5F4B]
2020
Single-Step Extraction Coupled with Targeted HILIC-MS/MS Approach for Comprehensive Analysis of Human Plasma Lipidome and Polar Metabolome.
Medina J., van der Velpen V., Teav T., Guitton Y., Gallart-Ayala H., Ivanisevic J., 2020/12/02. Metabolites, 10 (12) p. 495. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_068617E258A5]
 
Metabolomics meets lipidomics: Assessing the small molecule component of metabolism.
Gallart-Ayala H., Teav T., Ivanisevic J., 2020/12. BioEssays, 42 (12) pp. e2000052. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_FCE1D206B330]
 
Warmth Prevents Bone Loss Through the Gut Microbiota.
Chevalier C., Kieser S., Çolakoğlu M., Hadadi N., Brun J., Rigo D., Suárez-Zamorano N., Spiljar M., Fabbiano S., Busse B. et al., 2020/10/06. Cell metabolism, 32 (4) pp. 575-590.e7. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_17E463CA32BC]
Visualization and normalization of drift effect across batches in metabolome-wide association studies
Bararpour N., Gilardi F., Carmeli C., Sidibe J., Ivanisevic J., Caputo T., Augsburger M., Grabherr S., Desvergne B., Guex N. et al., 2020/01/22..
[URN][DOI][serval:BIB_45680B563CA2]
Mechanistic insights into bacterial metabolic reprogramming from omics-integrated genome-scale models.
Hadadi N., Pandey V., Chiappino-Pepe A., Morales M., Gallart-Ayala H., Mehl F., Ivanisevic J., Sentchilo V., Meer JRV, 2020. NPJ systems biology and applications, 6 (1) p. 1. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_AED3DDBE9005]
2019
From Samples to Insights into Metabolism: Uncovering Biologically Relevant Information in LC-HRMS Metabolomics Data.
Ivanisevic J., Want E.J., 2019/12/17. Metabolites, 9 (12). Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_E8044FA17AB4]
Systemic and central nervous system metabolic alterations in Alzheimer's disease
van der Velpen Vera, Teav Tony, Gallart-Ayala Héctor, Mehl Florence, Konz Ioana, Clark Christopher, Oikonomidi Aikaterini, Peyratout Gwendoline, Henry Hugues, Delorenzi Mauro et al., 2019/12. Alzheimer's Research & Therapy, 11 (1). Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_901648E242CF]
 
Merged Targeted Quantification and Untargeted Profiling for Comprehensive Assessment of Acylcarnitine and Amino Acid Metabolism.
Teav T., Gallart-Ayala H., van der Velpen V., Mehl F., Henry H., Ivanisevic J., 2019/09/17. Analytical chemistry, 91 (18) pp. 11757-11769. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_EFE8F1130539]
 
Molecular Profiling and Functional Analysis of Macrophage-Derived Tumor Extracellular Vesicles.
Cianciaruso C., Beltraminelli T., Duval F., Nassiri S., Hamelin R., Mozes A., Gallart-Ayala H., Ceada Torres G., Torchia B., Ries C.H. et al., 2019/06/04. Cell reports, 27 (10) pp. 3062-3080.e11. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_12CB24FE119D]
 
Identification of bioactive metabolites using activity metabolomics.
Rinschen M.M., Ivanisevic J., Giera M., Siuzdak G., 2019/06. Nature reviews. Molecular cell biology, 20 (6) pp. 353-367. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_6A7D7B7C85F9]
 
Ammonium accumulation and chemokine decrease in culture media of Gcdh<sup>-/-</sup> 3D reaggregated brain cell cultures.
Cudré-Cung H.P., Remacle N., do Vale-Pereira S., Gonzalez M., Henry H., Ivanisevic J., Schmiesing J., Mühlhausen C., Braissant O., Ballhausen D., 2019/04. Molecular genetics and metabolism, 126 (4) pp. 416-428. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_27B1944B46C3]
2018
 
A global HILIC-MS approach to measure polar human cerebrospinal fluid metabolome: Exploring gender-associated variation in a cohort of elderly cognitively healthy subjects.
Gallart-Ayala H., Konz I., Mehl F., Teav T., Oikonomidi A., Peyratout G., van der Velpen V., Popp J., Ivanisevic J., 2018/12/11. Analytica chimica acta, 1037 pp. 327-337. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_8774180E947C]
LC-HRMS data as a result of untargeted metabolomic profiling of human cerebrospinal fluid.
Mehl F., Gallart-Ayala H., Konz I., Teav T., Oikonomidi A., Peyratout G., van der Velpen V., Popp J., Ivanisevic J., 2018/12. Data in brief, 21 pp. 1358-1362. Peer-reviewed.
[URN][DOI][Pmid][serval:BIB_3087F712A56C]
De novo NAD<sup>+</sup> synthesis enhances mitochondrial function and improves health.
Katsyuba E., Mottis A., Zietak M., De Franco F., van der Velpen V., Gariani K., Ryu D., Cialabrini L., Matilainen O., Liscio P. et al., 2018/11. Nature, 563 (7731) pp. 354-359. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_7236863D4813]
 
XCMS-MRM and METLIN-MRM: a cloud library and public resource for targeted analysis of small molecules.
Domingo-Almenara X., Montenegro-Burke J.R., Ivanisevic J., Thomas A., Sidibé J., Teav T., Guijas C., Aisporna A.E., Rinehart D., Hoang L. et al., 2018/09. Nature methods, 15 (9) pp. 681-684. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_A974F34E796B]
 
Autonomous Multimodal Metabolomics Data Integration for Comprehensive Pathway Analysis and Systems Biology.
Huan T., Palermo A., Ivanisevic J., Rinehart D., Edler D., Phommavongsay T., Benton H.P., Guijas C., Domingo-Almenara X., Warth B. et al., 2018/07/17. Analytical chemistry, 90 (14) pp. 8396-8403. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_D7D3F9F967FC]
 
Développement et intérêt de l'approche ciblée pour l'analyse métabolomique
Sidibé J., Gallart Ayala H., Augsburger M., Ivanisevic J., Thomas A., 2018/06. pp. S31-S32 dans Toxicologie Analytique et Clinique, Elsevier BV.
[DOI][serval:BIB_30321066B8EE]
 
Metabolomics as a Tool to Understand Pathophysiological Processes
Ivanisevic Julijana, Thomas Aurelien, 2018. pp. 3-28 dans Clinical Metabolomics chap. 1, Springer New York.
[DOI][WoS][Pmid][serval:BIB_C58D083EA586]
2017
 
α-ketoglutarate orchestrates macrophage activation through metabolic and epigenetic reprogramming.
Liu P.S., Wang H., Li X., Chao T., Teav T., Christen S., Di Conza G., Cheng W.C., Chou C.H., Vavakova M. et al., 2017/09. Nature immunology, 18 (9) pp. 985-994. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_CA3F4F3BEF1D]
 
Systems biology guided by XCMS Online metabolomics.
Huan T., Forsberg E.M., Rinehart D., Johnson C.H., Ivanisevic J., Benton H.P., Fang M., Aisporna A., Hilmers B., Poole F.L. et al., 2017/04/27. Nature methods, 14 (5) pp. 461-462. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_F5D2E29034D7]
Data Streaming for Metabolomics: Accelerating Data Processing and Analysis from Days to Minutes.
Montenegro-Burke J.R., Aisporna A.E., Benton H.P., Rinehart D., Fang M., Huan T., Warth B., Forsberg E., Abe B.T., Ivanisevic J. et al., 2017/01/17. Analytical chemistry, 89 (2) pp. 1254-1259. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_2AC5597A31BE]
2016
Ammonium accumulation is a primary effect of 2-methylcitrate exposure in an in vitro model for brain damage in methylmalonic aciduria.
Cudré-Cung H.P., Zavadakova P., do Vale-Pereira S., Remacle N., Henry H., Ivanisevic J., Tavel D., Braissant O., Ballhausen D., 2016/09. Molecular genetics and metabolism, 119 (1-2) pp. 57-67. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_1AC5AEC0C198]
 
Metabolomics: beyond biomarkers and towards mechanisms.
Johnson C.H., Ivanisevic J., Siuzdak G., 2016/07. Nature reviews. Molecular cell biology, 17 (7) pp. 451-459. Peer-reviewed.
[DOI][Pmid][serval:BIB_E28159422E42]
 
Global Isotope Metabolomics Reveals Adaptive Strategies for Nitrogen Assimilation.
Kurczy M.E., Forsberg E.M., Thorgersen M.P., Poole F.L., Benton H.P., Ivanisevic J., Tran M.L., Wall J.D., Elias D.A., Adams M.W. et al., 2016/06/17. ACS chemical biology, 11 (6) pp. 1677-1685. Peer-reviewed.
[DOI][Pmid][serval:BIB_023B760514DF]
Metabolic drift in the aging brain.
Ivanisevic J., Stauch K.L., Petrascheck M., Benton H.P., Epstein A.A., Fang M., Gorantla S., Tran M., Hoang L., Kurczy M.E. et al., 2016/05. Aging, 8 (5) pp. 1000-1020. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_C2AE12DCEAA6]
 
Global metabolomics reveals metabolic dysregulation in ischemic retinopathy.
Paris L.P., Johnson C.H., Aguilar E., Usui Y., Cho K., Hoang L.T., Feitelberg D., Benton H.P., Westenskow P.D., Kurihara T. et al., 2016. Metabolomics, 12 (1) p. 15. Peer-reviewed.
[DOI][Pmid][serval:BIB_4D09AB54EC3C]
2015
 
Integrative taxonomic description of Plakina kanaky, a new polychromatic sponge species from New Caledonia (Porifera: Homoscleromorpha)
César Ruiz, Julijana Ivanisevic, Pierre Chevaldonné, Alexander V Ereskovsky, Nicole Boury‐Esnault, Jean Vacelet, Olivier P Thomas, Thierry Pérez , 2015/12. Marine Ecology, 36 (4) pp. 1129-1143. Peer-reviewed.
[DOI][serval:BIB_4CA470CF8AC9]
 
An Interactive Cluster Heat Map to Visualize and Explore Multidimensional Metabolomic Data.
Ivanisevic J., Benton P.H., Rinehart D., Epstein A., Kurczy M.E., Boska M.D., Gendelman H.E., Siuzdak G., 2015. Metabolomics, 11 (4) pp. 1029-1034. Peer-reviewed.
[DOI][Pmid][serval:BIB_A3CFA7FCD6FD]
 
Arteriovenous Blood Metabolomics: A Readout of Intra-Tissue Metabostasis.
Ivanisevic J., Elias D., Deguchi H., Averell P.M., Kurczy M., Johnson C.H., Tautenhahn R., Zhu Z., Watrous J., Jain M. et al., 2015. Scientific Reports, 5 p. 12757. Peer-reviewed.
[DOI][Pmid][serval:BIB_CFB20D130292]
 
Autonomous metabolomics for rapid metabolite identification in global profiling.
Benton H.P., Ivanisevic J., Mahieu N.G., Kurczy M.E., Johnson C.H., Franco L., Rinehart D., Valentine E., Gowda H., Ubhi B.K. et al., 2015. Analytical Chemistry, 87 (2) pp. 884-891. Peer-reviewed.
[DOI][Pmid][serval:BIB_4DD24F6BA63A]
 
Bioinformatics: the next frontier of metabolomics.
Johnson C.H., Ivanisevic J., Benton H.P., Siuzdak G., 2015. Analytical Chemistry, 87 (1) pp. 147-156. Peer-reviewed.
[DOI][Pmid][serval:BIB_D73B35A91C1F]
 
Comprehensive bioimaging with fluorinated nanoparticles using breathable liquids.
Kurczy M.E., Zhu Z.J., Ivanisevic J., Schuyler A.M., Lalwani K., Santidrian A.F., David J.M., Giddabasappa A., Roberts A.J., Olivos H.J. et al., 2015. Nature Communications, 6 p. 5998. Peer-reviewed.
[DOI][Pmid][serval:BIB_6CBDE959CD61]
 
Determining conserved metabolic biomarkers from a million database queries.
Kurczy M.E., Ivanisevic J., Johnson C.H., Uritboonthai W., Hoang L., Fang M., Hicks M., Aldebot A., Rinehart D., Mellander L.J. et al., 2015. Bioinformatics, 31 (23) pp. 3721-3724. Peer-reviewed.
[DOI][Pmid][serval:BIB_9F7B6C23C429]
 
Metabolism links bacterial biofilms and colon carcinogenesis.
Johnson C.H., Dejea C.M., Edler D., Hoang L.T., Santidrian A.F., Felding B.H., Ivanisevic J., Cho K., Wick E.C., Hechenbleikner E.M. et al., 2015. Cell Metabolism, 21 (6) pp. 891-897. Peer-reviewed.
[DOI][Pmid][serval:BIB_D98B76858679]
 
Metabolomic profiling reveals deep chemical divergence between two morphotypes of the zoanthid Parazoanthus axinellae.
Cachet N., Genta-Jouve G., Ivanisevic J., Chevaldonné P., Sinniger F., Culioli G., Pérez T., Thomas O.P., 2015. Scientific Reports, 5 p. 8282. Peer-reviewed.
[DOI][Pmid][serval:BIB_7C9DB915F9C9]
 
The Role of Metabolomics in Brain Metabolism Research.
Ivanisevic J., Siuzdak G., 2015. Journal of Neuroimmune Pharmacology, 10 (3) pp. 391-395. Peer-reviewed.
[DOI][Pmid][serval:BIB_BDF1E9B84B08]
Thermal Degradation of Small Molecules: A Global Metabolomic Investigation.
Fang M., Ivanisevic J., Benton H.P., Johnson C.H., Patti G.J., Hoang L.T., Uritboonthai W., Kurczy M.E., Siuzdak G., 2015. Analytical Chemistry, 87 (21) pp. 10935-10941. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_60E49BC6CDE6]
2014
 
Brain region mapping using global metabolomics.
Ivanisevic J., Epstein A.A., Kurczy M.E., Benton P.H., Uritboonthai W., Fox H.S., Boska M.D., Gendelman H.E., Siuzdak G., 2014. Chemistry and Biology, 21 (11) pp. 1575-1584. Peer-reviewed.
[DOI][Pmid][serval:BIB_3733489B71E3]
 
Interactive XCMS Online: simplifying advanced metabolomic data processing and subsequent statistical analyses.
Gowda H., Ivanisevic J., Johnson C.H., Kurczy M.E., Benton H.P., Rinehart D., Nguyen T., Ray J., Kuehl J., Arevalo B. et al., 2014. Analytical Chemistry, 86 (14) pp. 6931-6939. Peer-reviewed.
[DOI][Pmid][serval:BIB_74685673E9DD]
 
isoMETLIN: a database for isotope-based metabolomics.
Cho K., Mahieu N., Ivanisevic J., Uritboonthai W., Chen Y.J., Siuzdak G., Patti G.J., 2014. Analytical Chemistry, 86 (19) pp. 9358-9361. Peer-reviewed.
[DOI][Pmid][serval:BIB_6EDE3799DA11]
 
Metabolomic data streaming for biology-dependent data acquisition.
Rinehart D., Johnson C.H., Nguyen T., Ivanisevic J., Benton H.P., Lloyd J., Arkin A.P., Deutschbauer A.M., Patti G.J., Siuzdak G., 2014. Nature Biotechnology, 32 (6) pp. 524-527. Peer-reviewed.
[DOI][Pmid][serval:BIB_89320B6F17C2]
2013
 
Pluri-annual study of the reproduction of two Mediterranean Oscarella species (Porifera, Homoscleromorpha): cycle, sex-ratio, reproductive effort and phenology
Alexander V Ereskovsky Maude Dubois Julijana Ivanišević Eve Gazave Pascal Lapebie Daria Tokina Thierry Pérez, 2013/02. Marine Biology, 160 (2) pp. 423-438. Peer-reviewed.
[DOI][serval:BIB_F1EECB71B9A1]
 
Balibalosides, an original family of glucosylated sesterterpenes produced by the Mediterranean sponge Oscarella balibaloi.
Audoin C., Bonhomme D., Ivanisevic J., de la Cruz M., Cautain B., Monteiro M.C., Reyes F., Rios L., Perez T., Thomas O.P., 2013. Marine Drugs, 11 (5) pp. 1477-1489. Peer-reviewed.
[DOI][Pmid][serval:BIB_D1D9D6ED2FB6]
 
Toward 'omic scale metabolite profiling: a dual separation-mass spectrometry approach for coverage of lipid and central carbon metabolism.
Ivanisevic J., Zhu Z.J., Plate L., Tautenhahn R., Chen S., O'Brien P.J., Johnson C.H., Marletta M.A., Patti G.J., Siuzdak G., 2013. Analytical Chemistry, 85 (14) pp. 6876-6884. Peer-reviewed.
[DOI][Pmid][serval:BIB_BCD49FF1C1E6]
2011
 
Metabolic fingerprinting as an indicator of biodiversity: towards understanding inter-specific relationships among Homoscleromorpha sponges
Julijana Ivanisevic, Olivier Thomas, Christophe Lejeusne, Pierre Chevaldonné, Thierry Pérez, 2011/06. Metabolomics, 7 (2) pp. 289-304. Peer-reviewed.
[serval:BIB_A3417D2AD5C8]
 
Oscarella balibaloi, a new sponge species (Homoscleromorpha: Plakinidae) from the Western Mediterranean Sea: cytological description, reproductive cycle and ecology : O. balibaloi: description, reproductive cycle and ecology
Pérez Thierry, Ivanisevic Julijana, Dubois Maude, Pedel Laura, Thomas Olivier P., Tokina Daria, Ereskovsky Alexander V., 2011/06. Marine Ecology, 32 (2) pp. 174-187. Peer-reviewed.
[DOI][WoS][serval:BIB_613237E330C2]
 
Biochemical trade-offs: evidence for ecologically linked secondary metabolism of the sponge Oscarella balibaloi.
Ivanisevic J., Thomas O.P., Pedel L., Pénez N., Ereskovsky A.V., Culioli G., Pérez T., 2011. Plos One, 6 (11) pp. e28059. Peer-reviewed.
[DOI][Pmid][serval:BIB_FB7B20FD489C]
 
Lysophospholipids in the Mediterranean sponge Oscarella tuberculata: seasonal variability and putative biological role.
Ivanisevic J., Pérez T., Ereskovsky A.V., Barnathan G., Thomas O.P., 2011. Journal of Chemical Ecology, 37 (5) pp. 537-545. Peer-reviewed.
[DOI][Pmid][serval:BIB_1A5FD1E0AE63]
2009
 
Overview on the Homoscleromorpha sponges diversity in the Mediterranean
Alexander Ereskovsky Julijana Ivanisevic Thierry Perez (eds.), 2009., Proceedings of the 1st Mediterranean symposium on the conservation of the coralligenous and other calcareous bio-concretions, United Nations Environment Programme, Mediterranean Action Plan, Regional Activity Centre for Specially Protected Areas.
[serval:BIB_62BCD159A961]
 
The Homoscleromorph sponge Oscarella lobularis, a promising sponge model in evolutionary and developmental biology: model sponge Oscarella lobularis.
Ereskovsky A.V., Borchiellini C., Gazave E., Ivanisevic J., Lapébie P., Perez T., Renard E., Vacelet J., 2009. Bioessays, 31 (1) pp. 89-97. Peer-reviewed.
[DOI][Pmid][serval:BIB_31EEC72D34CB]
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