Under Review / Under Revision / Preprints
LipiDetective - a deep learning model for the identification of molecular lipid species in tandem mass spectra
Wuerf V., N. Koehler, F. Molnar, L. Hahnefeld, R. Gurke, M. Witting, J. Pauling
Preprint, https://doi.org/10.1101/2024.10.07.617094
Polyketide synthase-derived sphingolipids determine microbiota-mediated protection against pathogens in C. elegans
Peter L., M. Drechsler, B. Pees, G. Angelidou, L. Salzer, K. A. Moors, N. Paczia, H. Schulenburg, Y.-M. Sh, C. Kaleta, M. Witting, H. B. Bode, K. Dierking
Nature Communications, under revision
Metabolomic characteristics of endurance, resistance and sprint athletes: A comparison of resting and exercise serum metabolomes in extreme phenotypes
Schranner D., H. Wackerhage, P. Weinisch, J. Schlegel, S. Kaps, J. Scherr, W. Römisch-Margl, A. Riermeier, O. Zelger, F. Stöcker, A. Artati, M. Witting, J. Krumsiek, M. Halle, M. Schönfelder, G. Kastenmüller
J Physiol, under review
Dipeptide metabolite, glutamyl-glutamate mediates microbe-host interaction to boost spermatogenesis
Sun N., B. Juhász, K. Horváth, D. Kuti, I. Bata-Vidács, J. Shen, A. Feuchtinger, I. Nagy, J. Kukolya, S. Ferenczi, M. Witting, A. Walch, K. J. Kovács
Sci Rep. 2024 Sep 19;14(1):21864.
Navigating Common Pitfalls in Metabolite Identification and Metabolomics Bioinformatics
Novoa-del-Toro E. M., M. Witting
Metabolomics. 2024 Sep 21;20(5):103.
Targeted and untargeted metabolomics and lipidomics in dried blood microsampling: Recent applications and perspectives
Couacault P., D. Avella, S. Londoño-Osorio, A. S Lorenzo, A. Gradillas, O. Kärkkäinen, E. Want, M. Witting
Anal Sci Adv. 2024 Jun 14;5(5-6):e2400002..
SIN-3 transcriptional coregulator maintains mitochondrial hormesis and polyamine flux
Giovannetti M., P. Fabrizio, O. Nicolle, C. Bedet, M. Rodríguez-Palero, G. Michaux, M. Artal-Sanz, M. Witting, F. Palladino
iScience. 2024 Apr 22;27(5):109789.
Challenges and perspectives for naming and identifying lipids in the context of lipidomics
Witting M., A. Malik, A. Leach, A. Bridge, L. Aimo, M. J. Conroy5, V. B. O’Donnell, N. Hoffmann, D. Kopczynski, F. Giacomoni, N. Paulhe, A. C. Gassiot, N. Poupin, F. Jourdan, J. Bertrand-Michel
Metabolomics. 2024 Jan 24;20(1):15.
RepoRT: A comprehensive repository for small molecule retention times
Kretschmer F., E.-M. Harrieder, M. Hoffmann, S. Böcker, M. Witting
Nat Methods. 2024 Jan 8. doi: 10.1038/s41592-023-02143-z
2023
APEX – an annotation propagation workflow through multiple experimental networks to improve the annotation of new metabolite classes in Caenorhabditis elegans
Salzer L., E. M. Novoa-del-Toro, C. Frainay, K. A. B. Kissoyan, F. Jourdan, K. Dierking, M. Witting
Anal Chem. 2023 Dec 5;95(48):17550-17558.
Volumetric Absorptive Microsampling in the Analysis of Endogenous Metabolites
Marques de Sá E Silva, D., M. Thaitumu, G. Theodoridis, M. Witting, H. Gika
Metabolites. 2023 Sep 26;13(10):1038.
(Re-)use and (re-)analysis of publicly available metabolomics data
Witting M.
Proteomics. 2023 Sep 5:e2300032.
Capillary Electrophoresis - Mass Spectrometry as tool for Caenorhabditis elegans metabolomics research
Salzer, L., P. Schmitt-Kopplin, M. Witting
Metabolomics, 2023 Jun 23;19(7):61.
Lipidomic and Metallomic Alteration of Caenorhabditis elegans after Acute and Chronic Manganese, Iron, and Zinc Exposure with a Link to Neurodegenerative Disorders
Blume, B., V. Schwantes, M. Witting, H. Hayen, P. Schmitt-Kopplin, P. O. Helmer, B. Michalke
J Proteome Res. 2023 Jan 3.
2022
Providing metabolomics education and training: pedagogy and considerations
Winder, C. L., M. Witting, F. Tugizimana, W. Dunn and S. N. Reinke, on behalf of the Metabolomics Society Education and Training Committee
Metabolomics. 2022 Dec 13;18(12):106.
Critical assessment of chromatographic metadata in publicly available metabolomics data repositories
Harrieder, E.-M., F. Kretschmer, W. Dunn, S. Böcker, M. Witting
Metabolomics. 2022 Nov 27;18(12):97.
Quality Assurance and Quality Control Reporting in Untargeted Metabolic Phenotyping: mQACC Recommendations for Analytical Quality Management
Kirwan, J.., H. Gika, R. Beger, D. Bearden, W. Dunn, R. Goodacre, G. Theodoridis, M. Witting, L.-R. Yu, I. Wilson
Metabolomics. 2022 Aug 27;18(9):70.
Introducing the Lipidomics Minimal Reporting Checklist
McDonald, J., C Ejsing, D. Kopczynski, M. Holcapek, R. Ahrends, J. Aoki, M. Arita, M. Arita, E. Baker, J. Bertrand-Michel, J. Bowden, B. Brügger, S. Ellis, M. Fedorova, W. Griffiths, X. Han, J. Hartler, N. Hoffmann, J. Koelmel, H. Koefeler, T. Mitchell, V. O'Donnell, D. Saigusa, D. Schwudke, A. Shevchenko, C. Ulmer, M. Wenk, M. Witting, D. Wolrab, Y. Xia, G. Liebisch
Nat Metab. 2022 Sep;4(9):1086-1088. doi: 10.1038/s42255-022-00628-3.
MobilityTransformR: An R package for effective mobility transformation of CE-MS data
Salzer, L., M. Witting, P. Schmitt-Kopplin
Bioinformatics. 2022 Jul 4;btac441
Networks and graph discovery in metabolomics data analysis and interpretation
Amara, A., C. Frainay. F. Jourdan T. Naake, S. Neumann, E. M. Novoa-del-Toro, R. Salek, L. Salzer, S. Scharfenberg, M. Witting
Front Mol Biosci. 2022 Mar 8;9:841373.
DIAMetAlyzer: Automated, false-discovery rate controlled analysis for data-independent acquisition in metabolomics
Alka O., P. Shanthamoorthy, M. Witting, K. Kleigrewe, O. Kohlbacher, H. L. Röst
Nat Commun. 2022 Mar 15;13(1):1347.
A modular and expandable ecosystem for metabolomics data annotation in R
Rainer, J., A. Vicini, L. Salzer, J. Stanstrup, J. M. Badia, S. Neumann, M. Stravs, V. V. Hernandes, L. Gatto, S. Gibb, M. Witting
Metabolites. 2022 Feb 11;12(2):173.
Impaired phosphocreatine metabolism in white adipocytes promotes inflammation
Maqdasy, S., S. Lecoutre, G. Renzi, S. Frendo-Cumbo, D. Rizo-Roca, T. Moritz, M. Juvany, O. Hodek, H. Gao, M. Couchet, M. Witting, A. Kerr, M. O. Bergo, R. P. Choudhury, M. Aouadi, J. R. Zierath, A. Krook, N. Mejhert, M. Rydén
Nat Metab. 2022 Feb;4(2):190-202
2021
Novel extraction method for combined lipid and metal speciation from Caenorhabditis elegans with focus on iron redox status and lipid profiling
Blume B., M. Witting, P. Schmitt-Kopplin, B. Michalke
Front Chem. 2021 Dec 9;9:788094.
Stoffel R., M. Quilliam, N. Hardt, A. Fridstrom, M. Witting
Anal Bioanal Chem. 2021 Dec 15
Current state-of-the-art of separation methods used in LC-MS based metabolomics and lipidomics
Harrieder, E.-M., F. Kretschmer, S. Böcker, M. Witting
J Chromatogr B Analyt Technol Biomed Life Sci. 2022 Jan 1;1188:123069.
Hoffmann M. A, L. F. Nothias, M. Ludwig, M. Fleischauer, E. C. Gentry, M. Witting, P. C. Dorrestein, K. Dührkop, S. Böcker
Nat Biotechnol. 2021 Oct 14. doi: 10.1038/s41587-021-01045-9.
Quo Vadis Caenorhabditis elegans Metabolomics-A Review of Current Methods and Applications to Explore Metabolism in the Nematode
Liesa Salzer, M. Witting
Metabolites, 2021 Apr 29;11(5):284
HLH-30 dependent rewiring of metabolism during starvation in C. elegans
Dall K. B., J. F. Havelund, E. B. Harvald, M. Witting, N. J. Færgeman
Aging Cell, 2021 Apr;20(4):e13342
Comparison of lipidome profiles of Caenorhabditis elegans – Results from an inter-laboratory ring trial
Spanier B., A. Laurençon, A. Weiser, N. Pujol, S. Omi, A. Barsch, S. W. Meyer, J. J. Ewbank, F. Paladino, S. Garvis, H. Aguilaniu, M. Witting
Metabolomics, 2021 Feb 17;17(3):25.
Witting M., U. Schmidt, H.-J. Knölker
Analytical and Bioanalytical Chemistry, 2021 Mar;413(8):2091-2102.
IL-17 controls central nervous system autoimmunity through the intestinal microbiome
Regen, T., S. Isaac, A. Amorim, N. G. Núñez, J. Hauptmann, A. Shanmugavadivu, M. Klein, R. Sankowski, I. A. Mufazalov, N. Yogev, J. Huppert, F. Wanke, M. Witting, A. Grill, E. J. C. Gálvez, A. Nikolaev, M. Blanfeld, I. Prinz, P. Schmitt-Kopplin, T. Strowig, C. Reinhardt, M. Prinz, T. Bopp, B. Becher, C. Ubeda, A. Waisman
Science Immunology, 2021 Feb 5;6(56):eaaz6563
Reduced peroxisomal import triggers a peroxisomal retrograde signaling
Rackles E., I. Forné, C. Fischer, X. Zhang, S. Schrott, J. Zacherl, M. Witting, J. Ewbank, C. Osman, A. Imhof, S. G. Rolland
Cell Reports, 2021 Jan 19;34(3):108653.
2020
Comprehensive vitamer profiling of folate mono- and polyglutamates in baker’s yeast (Saccharomyces cerevisiae) as a function of different sample preparation procedures
L. Gmelch, D. Wirtz, M. Witting, N. Weber, L. Striegel, P. Schmitt-Kopplin, M. Rychlik
Metabolites, 2020 Jul 23;10(8):E301.
Metabolomic adjustments in the orchid mycorrhizal fungus Tulasnella calospora during symbiosis with Serapias vomeracea
A. Ghirardo, V. Fochi, B. Lange, M. Witting, J.-P. Schnitzler, S. Perotto, R. Balestrini
New Phytologist, 2020 Jul 15. doi: 10.1111/nph.16812,
Nothias, L. F., D. Petras, R. Schmid, K. Dührkop, J. Rainer, A. Sarvepalli, I. Protsyuk, M. Ernst, H. Tsugawa, M. Fleischauer, F. Aicheler, A. Aksenov, O. Alka, P.-M. Allard, A. Barsch, X. Cachet, M. Caraballo, R. R. Da Silva, T. Dang, N. Garg, J. M. Gauglitz, A. Gurevich, G. Isaac, A. K. Jarmusch, Z. Kameník, K. B. Kang, N. Kessler, I. Koester, A. Korf, A. Le Gouellec, M. Ludwig, M. H. Christian, L.-I. McCall, J. McSayles, S. W. Meyer, H. Mohimani, M. Morsy, O. Moyne, S. Neumann, H. Neuweger, N. H. Nguyen, M. Nothias-Esposito, J. Paolini, V. V. Phelan, T. Pluskal, R. A. Quinn, S. Rogers, B. Shrestha, A. T., J. J. J. van der Hooft, F. Vargas, K. C. Weldon, M. Witting, H. Yang, Z. Zhang, F. Zubeil, O. Kohlbacher, S. Böcker, T. Alexandrov, N. Bandeira, M. Wang, P. C. Dorrestein
Nature Methods, 2020 Sep;17(9):905-908
Suggestions for Standardized Identifiers for Fatty Acyl Compounds in Genome Scale Metabolic Models and Their Application to the WormJam Caenorhabditis elegans Model
M. Witting
Metabolites. 2020 Mar 28;10(4):E130. doi: 10.3390/metabo10040130. IF 4.097
M. Witting, S. Böcker
Journal of Separation Science, 2020 Mar 7.
Autophagy compensates for defects in mitochondrial dynamics
S. Haeussler, F. Köhler, M. Witting, M. F. Premm, S. G. Rolland, C. Fischer, L. Chauve, O. Casanueva, B. Conradt
PLoS Genetics, 2020 Mar 19;16(3):e1008638
In-vivo targeted tagging of RNA isolates cell specific transcriptional responses to environmental stimuli and identifies liver-to-adipose RNA transfer
Darr J., M. Lassi, A. Tomar, R. Gerlini, F. Scheid, MH de Angelis, M. Witting, R. Teperino
Cell Reports, 2020 Mar 3;30(9):3183-3194.e4.
2019
Development and application of a HILIC UHPLC-MS method for polar fecal metabolome profiling
Sillner N., A. Walker, EM. Harrieder, P. Schmitt-Kopplin, M. Witting
J Chromatogr B Analyt Technol Biomed Life Sci. 2019 Mar 1;1109:142-148. doi: 10.1016/j.jchromb.2019.01.016.
The metaRbolomics Toolbox in Bioconductor and beyond
Stanstrup J., CD. Broeckling, R. Helmus, N. Hoffmann, E. Mathé, T. Naake, L. Nicolotti, K. Peters, J. Rainer, RM. Salek, T. Schulze, E. Schymanski, MA. Stravs, EA. Thévenot, H. Treutler, RJM. Weber, E. Willighagen, M. Witting, S. Neumann
Metabolites. 2019 Sep 23;9(10). pii: E200. doi: 10.3390/metabo9100200
The sphingolipidome of the model organism Caenorhabditis elegans
Hänel V., C. Pendleton, M. Witting
Chem Phys Lipids. 2019 Aug;222:15-22. doi: 10.1016/j.chemphyslip.2019.04.009
2018
Mycorrhiza-Triggered Transcriptomic and Metabolomic Networks Impinge on Herbivore Fitness
Kaling M., A. Schmidt, F. Moritz, M. Rosenkranz, M. Witting, K. Kasper, D. Janz, P. Schmitt-Kopplin, JP. Schnitzler, A. Polle
Plant Physiol. 2018 Apr;176(4):2639-2656. doi: 10.1104/pp.17.01810. Epub 2018 Feb 8
Witting M., J. Hastings, N. Rodriguez, CJ. Joshi, JPN. Hattwell, PR. Ebert, M. van Weeghel, AW. Gao, MJO. Wakelam, RH. Houtkooper, A. Mains, N. Le Novère, S. Sadykoff, F. Schroeder, NE. Lewis, HJ. Schirra, C. Kaleta, O. Casanueva
Front Mol Biosci. 2018 Nov 14;5:96. doi: 10.3389/fmolb.2018.00096
Usage of FT-ICR-MS Metabolomics for Characterizing the Chemical Signatures of Barrel-Aged Whisky
Roullier-Gall C., J. Signoret, D. Hemmler, M. Witting, B. Kanawati, B. Schäfer, RD. Gougeon, P. Schmitt-Kopplin P
Front Chem. 2018 Feb 22;6:29. doi: 10.3389/fchem.2018.00029
Metabotype variation in a field population of tansy plants influences aphid host selection.
Clancy MV., SE. Zytynska, F. Moritz, M. Witting, P. Schmitt-Kopplin, WW. Weisser, JP. Schnitzler
Plant Cell Environ. 2018 Dec;41(12):2791-2805. doi: 10.1111/pce.13407. Epub 2018 Aug 17
Pharmacometabolic response to pirfenidone in pulmonary fibrosis detected by MALDI-FTICR-MSI
Sun N., IE. Fernandez, M. Wie, M. Witting, M. Aichler, A. Feuchtinger, G. Burgstaller, SE. Verleden, P. Schmitt-Kopplin, O. Eickelberg, A. Walch
Eur Respir J. 2018 Sep 15;52(3). pii: 1702314. doi: 10.1183/13993003.02314-2017
Metformin impacts cecal bile acid profiles in mice
Sillner N., A. Walker, W. Koch, M. Witting, P. Schmitt-Kopplin
J Chromatogr B Analyt Technol Biomed Life Sci. 2018 Apr 15;1083:35-43. doi: 10.1016/j.jchromb.2018.02.029.
Tandem HILIC-RP liquid chromatography for increased polarity coverage in food analysis
Hemmler D., SS. Heinzmann, K. Wöhr, P. Schmitt-Kopplin, M. Witting
Electrophoresis. 2018 Jul;39(13):1645-1653. doi: 10.1002/elps.201800038
2017
Amniotic Fluid and Maternal Serum Metabolic Signatures in the Second Trimester Associated with Preterm Delivery
Virgiliou C., HG. Gika, M. Witting, AA. Bletsou, A. Athanasiadis, M. Zafrakas, NS. Thomaidis, N. Raikos, G. Makrydimas, GA. Theodoridis
J Proteome Res. 2017 Feb 3;16(2):898-910. doi: 10.1021/acs.jproteome.6b00845
Metabolic Profile of Human Coelomic Fluid
Virgiliou C., L. Valianou, M. Witting, F. Moritz, C. Fotaki, P. Zoumpoulakis, AC. Chatziioannou, L. Lazaros, G. Makrydimas, K. Chatzimeletiou, N. Raikos, GA. Theodorids
Bioanalysis. 2017 Jan;9(1):37-51. doi: 10.4155/bio-2016-0223
Identification of a High-Affinity Pyruvate Receptor in Escherichia coli
Behr S., I. Kristoficova, M. Witting, EJ. Breland, AR. Eberly, C. Sachs, P. Schmitt-Kopplin, M. Hadjifrangiskou, K. Jung
Sci Rep. 2017 May 3;7(1):1388. doi: 10.1038/s41598-017-01410-2
LipidFrag: Improving reliability of in silico fragmentation of lipids and application to the Caenorhabditis elegans lipidome
Witting M., C. Ruttkies, S. Neumann, P. Schmitt-Kopplin
PLoS One. 2017 Mar 9;12(3):e0172311. doi: 10.1371/journal.pone.0172311
Comparative analysis of LytS/LytTR-type histidine kinase/response regulator systems in γ-proteobacteria
Behr S., S. Brameyer, M. Witting, P. Schmitt-Kopplin, K. Jung
PLoS One. 2017 Aug 10;12(8):e0182993. doi: 10.1371/journal.pone.0182993
QSRR Modeling for Metabolite Standards Analyzed by Two Different Chromatographic Columns Using Multiple Linear Regression
Zisi C., I. Sampsonidis, S. Fasoula, K. Papachristos, M. Witting, HG. Gika, P. Nikitas, A. Pappa-Louisi
Metabolites. 2017 Feb 9;7(1). pii: E7. doi: 10.3390/metabo7010007
2016
Natural oxygenation of Champagne wine during ageing on lees: A metabolomics picture of hormesis
Roullier-Gall C., M. Witting, F. Moritz, RB. Gil, D. Goffette, M. Valade, P. Schmitt-Kopplin, RD. Gougeon
Food Chem. 2016 Jul 15;203:207-215. doi: 10.1016/j.foodchem.2016.02.043
The Caenorhabditis elegans lipidome: A primer for lipid analysis in Caenorhabditis elegans
Witting M., P. Schmitt-Kopplin
Arch Biochem Biophys. 2016 Jan 1;589:27-37. doi: 10.1016/j.abb.2015.06.003, 3.559
The Role of Dafachronic Acid Signaling in Development and Longevity in Caenorhabditis elegans: Digging Deeper Using Cutting-Edge Analytical Chemistry
Aguilaniu H., P. Fabrizio, M. Witting
Front Endocrinol (Lausanne). 2016 Feb 11;7:12. doi: 10.3389/fendo.2016.00012
2015
DI-ICR-FT-MS-based high-throughput deep metabotyping: a case study of the Caenorhabditis elegans-Pseudomonas aeruginosa infection model
Witting M., M. Lucio, D. Tziotis, B. Wägele, K. Suhre, R. Voulhoux, S. Garvis, P. Schmitt-Kopplin
Anal Bioanal Chem. 2015 Feb;407(4):1059-73. doi: 10.1007/s00216-014-8331-5
Integrating analytical resolutions in non-targeted wine metabolomics
Roullier-Gall C., M. Witting, D. Tziotis, A. Ruf, RD. Gougeon, P. Schmitt-Kopplin
Tetrahedron. 2015 May;71(20):2983-2990
Computational analysis and ratiometric comparison approaches aimed to assist column selection in hydrophilic interaction liquid chromatography-tandem mass spectrometry targeted metabolomics
Sampsonidis I., M. Witting, W. Koch, C. Virgiliou, HG. Gika, P. Schmitt-Kopplin, GA. Theodoridis
J Chromatogr A. 2015 Aug 7;1406:145-55. doi: 10.1016/j.chroma.2015.06.008. Epub 2015 Jun 14.
Evidence for the recent origin of a bacterial protein-coding, overlapping orphan gene by evolutionary overprinting
Fellner L., S. Simon, C. Scherling, M. Witting, S. Schober, C. Polte, P. Schmitt-Kopplin, DA. Keim, S. Scherer, K. Neuhaus
BMC Evol Biol. 2015 Dec 18;15:283. doi: 10.1186/s12862-015-0558-z.
Chemical messages in 170-year-old champagne bottles from the Baltic Sea: Revealing tastes from the past
Jeandet P., SS. Heinzmann, C. Roullier-Gall, C. Cilindre, A. Aron, MA. Deville, F. Moritz, T. Karbowiak, D. Demarville, C. Brun, F. Moreau, B. Michalke, G. Liger-Belair, M. Witting, M. Lucio, D. Steyer, RD. Gougeon, P. Schmitt-Kopplin.
Proc Natl Acad Sci U S A. 2015 May 12;112(19):5893-8. doi: 10.1073/pnas.1500783112
Fast separation and quantification of steroid hormones Δ4- and Δ7-dafachronic acid in Caenorhabditis elegans
Witting M., HC. Rudloff, M. Thondamal, H. Aguilaniu, P. Schmitt-Kopplin
J Chromatogr B Analyt Technol Biomed Life Sci. 2015 Jan 26;978-979:118-21. doi: 10.1016/j.jchromb.2014.12.005
2014
Distinct signatures of host-microbial meta-metabolome and gut microbiome in two C57BL/6 strains under high-fat diet
Walker A., B. Pfitzner, S. Neschen, M. Kahle, M. Harir, M. Lucio, F. Moritz, D. Tziotis, M. Witting, M. Rothballer, M. Engel, M. Schmid, D. Endesfelder, M. Klingenspor, T. Rattei, WZ. Castell, MH. de Angelis, A. Hartmann, P. Schmitt-Kopplin
ISME J. 2014 Dec;8(12):2380-96. doi: 10.1038/ismej.2014.79.
Molecular and structural characterization of dissolved organic matter during and post cyanobacterial bloom in Taihu by combination of NMR spectroscopy and FTICR mass spectrometry
Zhang F., M. Harir, F. Moritz, J. Zhang, M. Witting, Y. Wu, P. Schmitt-Kopplin, A. Fekete, A. Gaspar, N. Hertkorn
Water Res. 2014 Jun 15;57:280-94. doi: 10.1016/j.watres.2014.02.051
High-resolution metabolite imaging of light and dark treated retina using MALDI-FTICR mass spectrometry
Sun N., A. Ly, S. Meding, M. Witting, SM. Hauck, M. Ueffing, P. Schmitt-Kopplin, M. Aichler, A. Walch
Proteomics. 2014 Apr;14(7-8):913-23. doi: 10.1002/pmic.201300407.
Ultrahigh resolution mass spectrometry-based metabolic characterization reveals cerebellum as a disturbed region in two animal models
Lin S., B. Kanawati, L. Liu, M. Witting, M. Li, J. Huang, P. Schmitt-Kopplin, Z. Cai
Talanta. 2014 Jan;118:45-53. doi: 10.1016/j.talanta.2013.09.019. Epub 2013 Oct 5.
Phenotype of htgA (mbiA), a recently evolved orphan gene of Escherichia coli and Shigella, completely overlapping in antisense to yaw
Fellner L., N. Bechtel, M. Witting, S. Simon, P. Schmitt-Kopplin, DA. Keim, S. Scherer, K. Neuhaus
FEMS Microbiol Lett. 2014 Jan;350(1):57-64. doi: 10.1111/1574-6968.12288
High precision mass measurements for wine metabolomics
Roullier-Gall C.*, M. Witting*, RD. Gougeon, P. Schmitt-Kopplin
Front Chem. 2014 Nov 13;2:102. doi: 10.3389/fchem.2014.00102
* equally contributed
Steroid hormone signalling links reproduction to lifespan in dietary-restricted Caenorhabditis elegans
Thondamal M., M. Witting, P. Schmitt-Kopplin, H. Aguilaniu
Nat Commun. 2014 Sep 11;5:4879. doi: 10.1038/ncomms5879.
Optimizing a ultrahigh pressure liquid chromatography-time of flight-mass spectrometry approach using a novel sub-2μm core-shell particle for in depth lipidomic profiling of Caenorhabditis elegans
Witting M., TV. Maier, S. Garvis, P. Schmitt-Kopplin
J Chromatogr A. 2014 Sep 12;1359:91-9. doi: 10.1016/j.chroma.2014.07.021, IF 3.858
2012
MassTRIX reloaded: combined analysis and visualization of transcriptome and metabolome data
Wägele B., M. Witting, P. Schmitt-Kopplin, K. Suhre
PLoS One. 2012;7(7):e39860. doi: 10.1371/journal.pone.0039860