1
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Zuffa S, Schmid R, Bauermeister A, P Gomes PW, Caraballo-Rodriguez AM, El Abiead Y, Aron AT, Gentry EC, Zemlin J, Meehan MJ, Avalon NE, Cichewicz RH, Buzun E, Terrazas MC, Hsu CY, Oles R, Ayala AV, Zhao J, Chu H, Kuijpers MCM, Jackrel SL, Tugizimana F, Nephali LP, Dubery IA, Madala NE, Moreira EA, Costa-Lotufo LV, Lopes NP, Rezende-Teixeira P, Jimenez PC, Rimal B, Patterson AD, Traxler MF, Pessotti RDC, Alvarado-Villalobos D, Tamayo-Castillo G, Chaverri P, Escudero-Leyva E, Quiros-Guerrero LM, Bory AJ, Joubert J, Rutz A, Wolfender JL, Allard PM, Sichert A, Pontrelli S, Pullman BS, Bandeira N, Gerwick WH, Gindro K, Massana-Codina J, Wagner BC, Forchhammer K, Petras D, Aiosa N, Garg N, Liebeke M, Bourceau P, Kang KB, Gadhavi H, de Carvalho LPS, Silva Dos Santos M, Pérez-Lorente AI, Molina-Santiago C, Romero D, Franke R, Brönstrup M, Vera Ponce de León A, Pope PB, La Rosa SL, La Barbera G, Roager HM, Laursen MF, Hammerle F, Siewert B, Peintner U, Licona-Cassani C, Rodriguez-Orduña L, Rampler E, Hildebrand F, Koellensperger G, Schoeny H, Hohenwallner K, Panzenboeck L, Gregor R, O'Neill EC, Roxborough ET, Odoi J, Bale NJ, Ding S, Sinninghe Damsté JS, Guan XL, Cui JJ, Ju KS, Silva DB, Silva FMR, da Silva GF, Koolen HHF, Grundmann C, Clement JA, Mohimani H, Broders K, McPhail KL, Ober-Singleton SE, Rath CM, McDonald D, Knight R, Wang M, Dorrestein PC. microbeMASST: a taxonomically informed mass spectrometry search tool for microbial metabolomics data. Nat Microbiol 2024; 9:336-345. [PMID: 38316926 PMCID: PMC10847041 DOI: 10.1038/s41564-023-01575-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Accepted: 11/29/2023] [Indexed: 02/07/2024]
Abstract
microbeMASST, a taxonomically informed mass spectrometry (MS) search tool, tackles limited microbial metabolite annotation in untargeted metabolomics experiments. Leveraging a curated database of >60,000 microbial monocultures, users can search known and unknown MS/MS spectra and link them to their respective microbial producers via MS/MS fragmentation patterns. Identification of microbe-derived metabolites and relative producers without a priori knowledge will vastly enhance the understanding of microorganisms' role in ecology and human health.
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Affiliation(s)
- Simone Zuffa
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA
| | - Robin Schmid
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA
| | - Anelize Bauermeister
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA
- Department of Pharmacology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
| | - Paulo Wender P Gomes
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA
| | - Andres M Caraballo-Rodriguez
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA
| | - Yasin El Abiead
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA
| | - Allegra T Aron
- Department of Chemistry and Biochemistry, University of Denver, Denver, CO, USA
| | - Emily C Gentry
- Department of Chemistry, Virginia Tech, Blacksburg, VA, USA
| | - Jasmine Zemlin
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA
- Center for Microbiome Innovation, University of California San Diego, San Diego, CA, USA
| | - Michael J Meehan
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA
| | - Nicole E Avalon
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, USA
| | - Robert H Cichewicz
- Department of Chemistry and Biochemistry, College of Arts and Sciences, University of Oklahoma, Norman, OK, USA
| | - Ekaterina Buzun
- Department of Pathology, School of Medicine, University of California San Diego, San Diego, CA, USA
| | - Marvic Carrillo Terrazas
- Department of Pathology, School of Medicine, University of California San Diego, San Diego, CA, USA
| | - Chia-Yun Hsu
- Department of Pathology, School of Medicine, University of California San Diego, San Diego, CA, USA
| | - Renee Oles
- Department of Pathology, School of Medicine, University of California San Diego, San Diego, CA, USA
| | - Adriana Vasquez Ayala
- Department of Pathology, School of Medicine, University of California San Diego, San Diego, CA, USA
| | - Jiaqi Zhao
- Department of Pathology, School of Medicine, University of California San Diego, San Diego, CA, USA
| | - Hiutung Chu
- Department of Pathology, School of Medicine, University of California San Diego, San Diego, CA, USA
- Center for Mucosal Immunology, Allergy, and Vaccines (cMAV), Chiba University-University of California San Diego, San Diego, CA, USA
| | - Mirte C M Kuijpers
- Department of Ecology, Behavior and Evolution, School of Biological Sciences, University of California San Diego, San Diego, CA, USA
| | - Sara L Jackrel
- Department of Ecology, Behavior and Evolution, School of Biological Sciences, University of California San Diego, San Diego, CA, USA
| | - Fidele Tugizimana
- Department of Biochemistry, Faculty of Science, University of Johannesburg, Johannesburg, South Africa
- International Research and Development, Omnia Nutriology, Omnia Group (Pty) Ltd, Johannesburg, South Africa
| | - Lerato Pertunia Nephali
- Department of Biochemistry, Faculty of Science, University of Johannesburg, Johannesburg, South Africa
| | - Ian A Dubery
- Department of Biochemistry, Faculty of Science, University of Johannesburg, Johannesburg, South Africa
| | - Ntakadzeni Edwin Madala
- Department of Biochemistry and Microbiology, Faculty of Sciences, Agriculture and Engineering, University of Venda, Thohoyandou, South Africa
| | - Eduarda Antunes Moreira
- Department of BioMolecular Sciences, School of Pharmaceutical Sciences of Ribeirão Preto, University of São Paulo, Ribeirão Preto, São Paulo, Brazil
| | - Leticia Veras Costa-Lotufo
- Department of Pharmacology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
| | - Norberto Peporine Lopes
- Department of BioMolecular Sciences, School of Pharmaceutical Sciences of Ribeirão Preto, University of São Paulo, Ribeirão Preto, São Paulo, Brazil
| | - Paula Rezende-Teixeira
- Department of Pharmacology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
| | - Paula C Jimenez
- Department of Marine Science, Institute of Marine Science, Federal University of São Paulo, Santos, Brazil
| | - Bipin Rimal
- Department of Veterinary and Biomedical Sciences, Pennsylvania State University, University Park, PA, USA
| | - Andrew D Patterson
- Department of Veterinary and Biomedical Sciences, Pennsylvania State University, University Park, PA, USA
| | - Matthew F Traxler
- Plant and Microbial Biology, College of Natural Resources, University of California Berkeley, Berkeley, CA, USA
| | - Rita de Cassia Pessotti
- Plant and Microbial Biology, College of Natural Resources, University of California Berkeley, Berkeley, CA, USA
| | - Daniel Alvarado-Villalobos
- Metabolomics and Chemical Profiling, Centro de Investigaciones en Productos Naturales (CIPRONA), Universidad de Costa Rica, San José, Costa Rica
| | - Giselle Tamayo-Castillo
- Metabolomics and Chemical Profiling, Centro de Investigaciones en Productos Naturales (CIPRONA), Universidad de Costa Rica, San José, Costa Rica
- Escuela de Química, Universidad de Costa Rica, San José, Costa Rica
| | - Priscila Chaverri
- Microbial Biotechnology, Centro de Investigaciones en Productos Naturales (CIPRONA) and Escuela de Biología, Universidad de Costa Rica, San José, Costa Rica
- Escuela de Biología, Universidad de Costa Rica, San José, Costa Rica
- Department of Natural Sciences, Bowie State University, Bowie, MD, USA
| | - Efrain Escudero-Leyva
- Microbial Biotechnology, Centro de Investigaciones en Productos Naturales (CIPRONA), Universidad de Costa Rica, San José, Costa Rica
| | - Luis-Manuel Quiros-Guerrero
- School of Pharmaceutical Sciences, University of Geneva, Geneva, Switzerland
- Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Geneva, Switzerland
| | - Alexandre Jean Bory
- School of Pharmaceutical Sciences, University of Geneva, Geneva, Switzerland
- Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Geneva, Switzerland
| | - Juliette Joubert
- School of Pharmaceutical Sciences, University of Geneva, Geneva, Switzerland
- Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Geneva, Switzerland
| | - Adriano Rutz
- School of Pharmaceutical Sciences, University of Geneva, Geneva, Switzerland
- Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Geneva, Switzerland
- Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland
| | - Jean-Luc Wolfender
- School of Pharmaceutical Sciences, University of Geneva, Geneva, Switzerland
- Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Geneva, Switzerland
| | - Pierre-Marie Allard
- School of Pharmaceutical Sciences, University of Geneva, Geneva, Switzerland
- Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Geneva, Switzerland
- Department of Biology, University of Fribourg, Fribourg, Switzerland
| | - Andreas Sichert
- Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland
| | - Sammy Pontrelli
- Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland
| | - Benjamin S Pullman
- Department of Computer Science and Engineering, University of California San Diego, San Diego, CA, USA
| | - Nuno Bandeira
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA
- Department of Computer Science and Engineering, University of California San Diego, San Diego, CA, USA
| | - William H Gerwick
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, USA
| | - Katia Gindro
- Plant Protection, Mycology group, Agroscope, Nyon, Switzerland
| | | | - Berenike C Wagner
- Department of Microbiology and Organismic Interactions, Interfaculty Institute of Microbiology and Infection Medicine, University of Tuebingen, Tuebingen, Germany
| | - Karl Forchhammer
- Department of Microbiology and Organismic Interactions, Interfaculty Institute of Microbiology and Infection Medicine, University of Tuebingen, Tuebingen, Germany
| | - Daniel Petras
- Cluster of Excellence 'Controlling Microbes to Fight Infections' (CMFI), University of Tuebingen, Tuebingen, Germany
| | - Nicole Aiosa
- School of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, GA, USA
| | - Neha Garg
- School of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, GA, USA
- Center for Microbial Dynamics and Infection, Georgia Institute of Technology, Atlanta, GA, USA
| | - Manuel Liebeke
- Department of Symbiosis, Metabolic Interactions, Max Planck Institute for Marine Microbiology, Bremen, Germany
- Department for Metabolomics, Kiel University, Kiel, Germany
| | - Patric Bourceau
- Department of Symbiosis, Metabolic Interactions, Max Planck Institute for Marine Microbiology, Bremen, Germany
| | - Kyo Bin Kang
- Research Institute of Pharmaceutical Sciences, College of Pharmacy, Sookmyung Women's University, Seoul, Korea
| | - Henna Gadhavi
- Mycobacterial Metabolism and Antibiotic Research Laboratory, The Francis Crick Institute, London, UK
- King's College London, London, UK
| | - Luiz Pedro Sorio de Carvalho
- Mycobacterial Metabolism and Antibiotic Research Laboratory, The Francis Crick Institute, London, UK
- Chemistry Department, The Herbert Wertheim UF Scripps Institute for Biomedical Innovation and Technology, Jupiter, FL, USA
| | | | - Alicia Isabel Pérez-Lorente
- Department of Microbiology, Instituto de Hortofruticultura Subtropical y Mediterránea 'La Mayora', Universidad de Málaga-Consejo Superior de Investigaciones Científicas (IHSM-UMA-CSIC), Bulevar Louis Pasteur (Campus Universitario de Teatinos), Malaga, Spain
| | - Carlos Molina-Santiago
- Department of Microbiology, Instituto de Hortofruticultura Subtropical y Mediterránea 'La Mayora', Universidad de Málaga-Consejo Superior de Investigaciones Científicas (IHSM-UMA-CSIC), Bulevar Louis Pasteur (Campus Universitario de Teatinos), Malaga, Spain
| | - Diego Romero
- Department of Microbiology, Instituto de Hortofruticultura Subtropical y Mediterránea 'La Mayora', Universidad de Málaga-Consejo Superior de Investigaciones Científicas (IHSM-UMA-CSIC), Bulevar Louis Pasteur (Campus Universitario de Teatinos), Malaga, Spain
| | - Raimo Franke
- Department of Chemical Biology, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Mark Brönstrup
- Department of Chemical Biology, Helmholtz Centre for Infection Research, Braunschweig, Germany
- German Center for Infection Research (DZIF), Site Hannover-Braunschweig, Braunschweig, Germany
| | - Arturo Vera Ponce de León
- Faculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, Ås, Norway
| | - Phillip Byron Pope
- Faculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, Ås, Norway
- Faculty of Biosciences, Norwegian University of Life Sciences, Ås, Norway
| | - Sabina Leanti La Rosa
- Faculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, Ås, Norway
- Faculty of Biosciences, Norwegian University of Life Sciences, Ås, Norway
| | - Giorgia La Barbera
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Frederiksberg, Denmark
| | - Henrik M Roager
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Frederiksberg, Denmark
| | | | - Fabian Hammerle
- Department of Pharmacognosy, Institute of Pharmacy, University of Innsbruck, Innsbruck, Austria
| | - Bianka Siewert
- Department of Pharmacognosy, Institute of Pharmacy, University of Innsbruck, Innsbruck, Austria
| | - Ursula Peintner
- Department of Microbiology, University of Innsbruck, Innsbruck, Austria
| | - Cuauhtemoc Licona-Cassani
- Escuela de Ingeniería y Ciencias, Centro de Biotecnología FEMSA, Tecnologico de Monterrey, Monterrey, Mexico
| | - Lorena Rodriguez-Orduña
- Escuela de Ingeniería y Ciencias, Centro de Biotecnología FEMSA, Tecnologico de Monterrey, Monterrey, Mexico
| | - Evelyn Rampler
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria
| | - Felina Hildebrand
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria
- Vienna Doctoral School in Chemistry (DoSChem), Faculty of Chemistry, University of Vienna, Vienna, Austria
| | - Gunda Koellensperger
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria
- Vienna Metabolomics Center (VIME), University of Vienna, Vienna, Austria
| | - Harald Schoeny
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria
| | - Katharina Hohenwallner
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria
- Vienna Doctoral School in Chemistry (DoSChem), Faculty of Chemistry, University of Vienna, Vienna, Austria
| | - Lisa Panzenboeck
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria
- Vienna Doctoral School in Chemistry (DoSChem), Faculty of Chemistry, University of Vienna, Vienna, Austria
| | - Rachel Gregor
- Department of Civil and Environmental Engineering, School of Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | | | | | - Jane Odoi
- Faculty of Engineering, University of Nottingham, Nottingham, UK
| | - Nicole J Bale
- Department of Marine Microbiology and Biogeochemistry, Netherlands Institute for Sea Research (NIOZ), t Horntje (Texel), the Netherlands
| | - Su Ding
- Department of Marine Microbiology and Biogeochemistry, Netherlands Institute for Sea Research (NIOZ), t Horntje (Texel), the Netherlands
| | - Jaap S Sinninghe Damsté
- Department of Marine Microbiology and Biogeochemistry, Netherlands Institute for Sea Research (NIOZ), t Horntje (Texel), the Netherlands
| | - Xue Li Guan
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Jerry J Cui
- Department of Microbiology, College of Arts and Sciences, The Ohio State University, Columbus, OH, USA
| | - Kou-San Ju
- Department of Microbiology, College of Arts and Sciences, The Ohio State University, Columbus, OH, USA
- Division of Medicinal Chemistry and Pharmacognosy, College of Pharmacy, The Ohio State University, Columbus, OH, USA
- Center for Applied Plant Sciences, The Ohio State University, Columbus, OH, USA
- Infectious Diseases Institute, The Ohio State University, Columbus, OH, USA
| | - Denise Brentan Silva
- Faculty of Pharmaceutical Sciences, Food and Nutrition, Federal University of Mato Grosso do Sul, Campo Grande, Mato Grosso do Sul, Brazil
| | - Fernanda Motta Ribeiro Silva
- Faculty of Pharmaceutical Sciences, Food and Nutrition, Federal University of Mato Grosso do Sul, Campo Grande, Mato Grosso do Sul, Brazil
| | | | - Hector H F Koolen
- Escola Superior de Ciências da Saúde, Universidade do Estado do Amazonas, Manaus, Brazil
| | - Carlismari Grundmann
- Department of Pharmaceutical Sciences, School of Pharmaceutical Sciences of Ribeirão Preto, University of São Paulo, Ribeirão Preto, Brazil
| | | | - Hosein Mohimani
- Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA
| | - Kirk Broders
- USDA, Agricultural Research Service, National Center for Agricultural Utilization Research, Mycotoxin Prevention and Applied Microbiology Research Unit, Peoria, IL, USA
| | - Kerry L McPhail
- Department of Pharmaceutical Sciences, College of Pharmacy, Oregon State University, Corvallis, OR, USA
| | - Sidnee E Ober-Singleton
- Department of Physics, Study of Heavy-Element-Biomaterials, University of Oregon, Eugene, OR, USA
| | | | - Daniel McDonald
- Department of Pediatrics, University of California San Diego, San Diego, CA, USA
| | - Rob Knight
- Department of Computer Science and Engineering, University of California San Diego, San Diego, CA, USA
- Department of Pediatrics, University of California San Diego, San Diego, CA, USA
- Department of Bioengineering, University of California San Diego, San Diego, CA, USA
| | - Mingxun Wang
- Department of Computer Science and Engineering, University of California Riverside, Riverside, CA, USA
| | - Pieter C Dorrestein
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA.
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA.
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Scheibelberger L, Stankovic T, Pühringer M, Kählig H, Balber T, Patronas E, Rampler E, Mitterhauser M, Haschemi A, Pallitsch K. Synthesis of 4-Deoxy-4-Fluoro-d-Sedoheptulose: A Promising New Sugar to Apply the Principle of Metabolic Trapping. Chemistry 2023; 29:e202302277. [PMID: 37552007 PMCID: PMC10946558 DOI: 10.1002/chem.202302277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 08/07/2023] [Accepted: 08/08/2023] [Indexed: 08/09/2023]
Abstract
Fluorinated carbohydrates are important tools for understanding the deregulation of metabolic fluxes and pathways. Fluorinating specific positions within the sugar scaffold can lead to enhanced metabolic stability and subsequent metabolic trapping in cells. This principle has, however, never been applied to study the metabolism of the rare sugars of the pentose phosphate pathway (PPP). In this study, two fluorinated derivatives of d-sedoheptulose were designed and synthesized: 4-deoxy-4-fluoro-d-sedoheptulose (4DFS) and 3-deoxy-3-fluoro-d-sedoheptulose (3DFS). Both sugars are taken up by human fibroblasts but only 4DFS is phosphorylated. Fluorination of d-sedoheptulose at C-4 effectively halts the enzymatic degradation by transaldolase and transketolase. 4DFS thus has a high potential as a new PPP imaging probe based on the principle of metabolic trapping. Therefore, the synthesis of potential radiolabeling precursors for 4DFS for future radiofluorinations with fluorine-18 is presented.
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Affiliation(s)
- Lukas Scheibelberger
- Institute of Organic ChemistryUniversity of ViennaWähringer Straße 381090ViennaAustria
- Vienna Doctoral School in Chemistry (DoSChem)University of ViennaWähringer Straße 421090ViennaAustria
| | - Toda Stankovic
- Institute of Organic ChemistryUniversity of ViennaWähringer Straße 381090ViennaAustria
| | - Marlene Pühringer
- Vienna Doctoral School in Chemistry (DoSChem)University of ViennaWähringer Straße 421090ViennaAustria
- Institute of Analytical ChemistryUniversity of ViennaWähringer Straße 381090ViennaAustria
| | - Hanspeter Kählig
- Institute of Organic ChemistryUniversity of ViennaWähringer Straße 381090ViennaAustria
| | - Theresa Balber
- Division of Nuclear MedicineDepartment of Biomedical Imaging and Image-guided TherapyMedical University of ViennaWähringer Gürtel 18–201090ViennaAustria
- Ludwig Boltzmann Institute Applied DiagnosticsWähringer Gürtel 18–201090ViennaAustria
| | - Eva‐Maria Patronas
- Division of Nuclear MedicineDepartment of Biomedical Imaging and Image-guided TherapyMedical University of ViennaWähringer Gürtel 18–201090ViennaAustria
- Division of Pharmaceutical Technology and BiopharmaceuticsDepartment of Pharmaceutical SciencesUniversity of Vienna, UZAIIJosef-Holaubek-Platz 21090ViennaAustria
| | - Evelyn Rampler
- Institute of Analytical ChemistryUniversity of ViennaWähringer Straße 381090ViennaAustria
| | - Markus Mitterhauser
- Division of Nuclear MedicineDepartment of Biomedical Imaging and Image-guided TherapyMedical University of ViennaWähringer Gürtel 18–201090ViennaAustria
- Ludwig Boltzmann Institute Applied DiagnosticsWähringer Gürtel 18–201090ViennaAustria
- Institute of Inorganic ChemistryUniversity of ViennaWähringer Straße 421090ViennaAustria
| | - Arvand Haschemi
- Department of Laboratory MedicineMedical University of ViennaWähringer Gürtel 18–201090ViennaAustria
| | - Katharina Pallitsch
- Institute of Organic ChemistryUniversity of ViennaWähringer Straße 381090ViennaAustria
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3
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Zuffa S, Schmid R, Bauermeister A, Gomes PWP, Caraballo-Rodriguez AM, Abiead YE, Aron AT, Gentry EC, Zemlin J, Meehan MJ, Avalon NE, Cichewicz RH, Buzun E, Terrazas MC, Hsu CY, Oles R, Ayala AV, Zhao J, Chu H, Kuijpers MCM, Jackrel SL, Tugizimana F, Nephali LP, Dubery IA, Madala NE, Moreira EA, Costa-Lotufo LV, Lopes NP, Rezende-Teixeira P, Jimenez PC, Rimal B, Patterson AD, Traxler MF, de Cassia Pessotti R, Alvarado-Villalobos D, Tamayo-Castillo G, Chaverri P, Escudero-Leyva E, Quiros-Guerrero LM, Bory AJ, Joubert J, Rutz A, Wolfender JL, Allard PM, Sichert A, Pontrelli S, Pullman BS, Bandeira N, Gerwick WH, Gindro K, Massana-Codina J, Wagner BC, Forchhammer K, Petras D, Aiosa N, Garg N, Liebeke M, Bourceau P, Kang KB, Gadhavi H, de Carvalho LPS, dos Santos MS, Pérez-Lorente AI, Molina-Santiago C, Romero D, Franke R, Brönstrup M, de León AVP, Pope PB, Rosa SLL, Barbera GL, Roager HM, Laursen MF, Hammerle F, Siewert B, Peintner U, Licona-Cassani C, Rodriguez-Orduña L, Rampler E, Hildebrand F, Koellensperger G, Schoeny H, Hohenwallner K, Panzenboeck L, Gregor R, O’Neill EC, Roxborough ET, Odoi J, Bale NJ, Ding S, Sinninghe Damsté JS, Guan XL, Cui JJ, Ju KS, Silva DB, Silva FMR, da Silva GF, Koolen HHF, Grundmann C, Clement JA, Mohimani H, Broders K, McPhail KL, Ober-Singleton SE, Rath CM, McDonald D, Knight R, Wang M, Dorrestein PC. A Taxonomically-informed Mass Spectrometry Search Tool for Microbial Metabolomics Data. Res Sq 2023:rs.3.rs-3189768. [PMID: 37577622 PMCID: PMC10418563 DOI: 10.21203/rs.3.rs-3189768/v1] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/15/2023]
Abstract
MicrobeMASST, a taxonomically-informed mass spectrometry (MS) search tool, tackles limited microbial metabolite annotation in untargeted metabolomics experiments. Leveraging a curated database of >60,000 microbial monocultures, users can search known and unknown MS/MS spectra and link them to their respective microbial producers via MS/MS fragmentation patterns. Identification of microbial-derived metabolites and relative producers, without a priori knowledge, will vastly enhance the understanding of microorganisms' role in ecology and human health.
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Affiliation(s)
- Simone Zuffa
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, 9500 Gilman Dr., San Diego, CA, 92093, United States
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, 9500 Gilman Dr., San Diego, CA, 92093, United States
| | - Robin Schmid
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, 9500 Gilman Dr., San Diego, CA, 92093, United States
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, 9500 Gilman Dr., San Diego, CA, 92093, United States
| | - Anelize Bauermeister
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, 9500 Gilman Dr., San Diego, CA, 92093, United States
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, 9500 Gilman Dr., San Diego, CA, 92093, United States
- Department of Pharmacology, Institute of Biomedical Sciences, University of São Paulo, Av. Lineu Prestes 1524, São Paulo, SP, 05508-000, Brazil
| | - Paulo Wender P. Gomes
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, 9500 Gilman Dr., San Diego, CA, 92093, United States
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, 9500 Gilman Dr., San Diego, CA, 92093, United States
| | - Andres M. Caraballo-Rodriguez
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, 9500 Gilman Dr., San Diego, CA, 92093, United States
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, 9500 Gilman Dr., San Diego, CA, 92093, United States
| | - Yasin El Abiead
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, 9500 Gilman Dr., San Diego, CA, 92093, United States
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, 9500 Gilman Dr., San Diego, CA, 92093, United States
| | - Allegra T. Aron
- Department of Chemistry and Biochemistry, University of Denver, Denver, CO, 80210, United States
| | - Emily C. Gentry
- Department of Chemistry, Virginia Tech, Blacksburg, VA, 24061, United States
| | - Jasmine Zemlin
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, 9500 Gilman Dr., San Diego, CA, 92093, United States
- Center for Microbiome Innovation, University of California San Diego, 9500 Gilman Dr., San Diego, CA, 92093, United States
| | - Michael J. Meehan
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, 9500 Gilman Dr., San Diego, CA, 92093, United States
| | - Nicole E. Avalon
- Scripps Institution of Oceanography, University of California San Diego, 9500 Gilman Dr., La Jolla, CA, 92093, United States
| | - Robert H. Cichewicz
- Department of Chemistry and Biochemistry, College of Arts and Sciences, University of Oklahoma, 101 Stephenson Parkway, Norman, OK, 73019, United States
| | - Ekaterina Buzun
- Department of Pathology, School of Medicine, University of California San Diego, 9500 Gilman Dr., San Diego, CA, 92093, United States
| | - Marvic Carrillo Terrazas
- Department of Pathology, School of Medicine, University of California San Diego, 9500 Gilman Dr., San Diego, CA, 92093, United States
| | - Chia-Yun Hsu
- Department of Pathology, School of Medicine, University of California San Diego, 9500 Gilman Dr., San Diego, CA, 92093, United States
| | - Renee Oles
- Department of Pathology, School of Medicine, University of California San Diego, 9500 Gilman Dr., San Diego, CA, 92093, United States
| | - Adriana Vasquez Ayala
- Department of Pathology, School of Medicine, University of California San Diego, 9500 Gilman Dr., San Diego, CA, 92093, United States
| | - Jiaqi Zhao
- Department of Pathology, School of Medicine, University of California San Diego, 9500 Gilman Dr., San Diego, CA, 92093, United States
| | - Hiutung Chu
- Department of Pathology, School of Medicine, University of California San Diego, 9500 Gilman Dr., San Diego, CA, 92093, United States
- Center for Mucosal Immunology, Allergy, and Vaccines (cMAV), Chiba University-University of California San Diego, 9500 Gilman Dr., San Diego, CA, 92093, United States
| | - Mirte C. M. Kuijpers
- Department of Ecology, Behavior and Evolution, School of Biological Sciences, University of California San Diego, 9500 Gilman Dr., San Diego, CA, 92093, United States
| | - Sara L. Jackrel
- Department of Ecology, Behavior and Evolution, School of Biological Sciences, University of California San Diego, 9500 Gilman Dr., San Diego, CA, 92093, United States
| | - Fidele Tugizimana
- Department of Biochemistry, Faculty of Science, University of Johannesburg, Auckland Park, Johannesburg, Gauteng, 2006, South Africa
- International Research and Development, Omnia Nutriology, Omnia Group (Pty) Ltd, 178 Montecasino Boulevard, Fourways, Johannesburg, Gauteng, 2191, South Africa
| | - Lerato Pertunia Nephali
- Department of Biochemistry, Faculty of Science, University of Johannesburg, Auckland Park, Johannesburg, Gauteng, 2006, South Africa
| | - Ian A. Dubery
- Department of Biochemistry, Faculty of Science, University of Johannesburg, Auckland Park, Johannesburg, Gauteng, 2006, South Africa
| | - Ntakadzeni Edwin Madala
- Department of Biochemistry and Microbiology, Faculty of Sciences, Agriculture and Engineering, University of Venda, Private Bag X5050, Thohoyandou, Limpopo, 950, South Africa
| | - Eduarda Antunes Moreira
- Department of BioMolecular Sciences, School of Pharmaceutical Sciences of Ribeirão Preto, University of São Paulo, Avenida do Café, Ribeirão Preto, SP, 14040-903, Brazil
| | - Leticia Veras Costa-Lotufo
- Department of Pharmacology, Institute of Biomedical Sciences, University of São Paulo, Av. Lineu Prestes 1524, São Paulo, SP, 05508-000, Brazil
| | - Norberto Peporine Lopes
- Department of BioMolecular Sciences, School of Pharmaceutical Sciences of Ribeirão Preto, University of São Paulo, Avenida do Café, Ribeirão Preto, SP, 14040-903, Brazil
| | - Paula Rezende-Teixeira
- Department of Pharmacology, Institute of Biomedical Sciences, University of São Paulo, Av. Lineu Prestes 1524, São Paulo, SP, 05508-000, Brazil
| | - Paula C. Jimenez
- Department of Marine Science, Institute of Marine Science, Federal University of São Paulo, Rua Carvalho de Mendonça, 144, Santos, SP, 11070-100, Brazil
| | - Bipin Rimal
- Department of Veterinary and Biomedical Sciences, Pennsylvania State University, 319 Life Sciences Building, University Park, PA, 16802, United States
| | - Andrew D. Patterson
- Department of Veterinary and Biomedical Sciences, Pennsylvania State University, 320 Life Sciences Building, University Park, PA, 16802, United States
| | - Matthew F. Traxler
- Plant and Microbial Biology, College of Natural Resources, University of California Berkeley, 311 Koshland Hall, Berkeley, CA, 94270, United States
| | - Rita de Cassia Pessotti
- Plant and Microbial Biology, College of Natural Resources, University of California Berkeley, 311 Koshland Hall, Berkeley, CA, 94270, United States
| | - Daniel Alvarado-Villalobos
- Metabolomics & Chemical Profiling, Centro de Investigaciones en Productos Naturales (CIPRONA), Universidad de Costa Rica, San Pedro de Montes de Oca, San José, 2061, Costa Rica
| | - Giselle Tamayo-Castillo
- Metabolomics & Chemical Profiling, Centro de Investigaciones en Productos Naturales (CIPRONA), Universidad de Costa Rica, San Pedro de Montes de Oca, San José, 2061, Costa Rica
- Escuela de Química, Universidad de Costa Rica, San Pedro de Montes de Oca, San José, 2061, Costa Rica
| | - Priscila Chaverri
- Microbial Biotechnology, Centro de Investigaciones en Productos Naturales (CIPRONA) & Escuela de Biología, Universidad de Costa Rica, San Pedro de Montes de Oca, San José, 2061, Costa Rica
- Escuela de Biología, Universidad de Costa Rica, San Pedro de Montes de Oca, San José, 2061, Costa Rica
- Department of Natural Sciences, Bowie State University, Bowie, Maryland, 20715, United States
| | - Efrain Escudero-Leyva
- Microbial Biotechnology, Centro de Investigaciones en Productos Naturales (CIPRONA), Universidad de Costa Rica, San Pedro de Montes de Oca, San José, 2061, Costa Rica
| | - Luis-Manuel Quiros-Guerrero
- School of Pharmaceutical Sciences, University of Geneva, Rue Michel-Servet 1, Genève, GE, 1206, Switzerland
- Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Rue Michel-Servet 1, Genève, GE, 1206, Switzerland
| | - Alexandre Jean Bory
- School of Pharmaceutical Sciences, University of Geneva, Rue Michel-Servet 1, Genève, GE, 1206, Switzerland
- Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Rue Michel-Servet 1, Genève, GE, 1206, Switzerland
| | - Juliette Joubert
- School of Pharmaceutical Sciences, University of Geneva, Rue Michel-Servet 1, Genève, GE, 1206, Switzerland
- Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Rue Michel-Servet 1, Genève, GE, 1206, Switzerland
| | - Adriano Rutz
- School of Pharmaceutical Sciences, University of Geneva, Rue Michel-Servet 1, Genève, GE, 1206, Switzerland
- Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Rue Michel-Servet 1, Genève, GE, 1206, Switzerland
- Institute of Molecular Systems Biology, ETH Zurich, Otto-Stern-Weg 3, Zürich, 8093, Switzerland
| | - Jean-Luc Wolfender
- School of Pharmaceutical Sciences, University of Geneva, Rue Michel-Servet 1, Genève, GE, 1206, Switzerland
- Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Rue Michel-Servet 1, Genève, GE, 1206, Switzerland
| | - Pierre-Marie Allard
- School of Pharmaceutical Sciences, University of Geneva, Rue Michel-Servet 1, Genève, GE, 1206, Switzerland
- Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Rue Michel-Servet 1, Genève, GE, 1206, Switzerland
- Department of Biology, University of Fribourg, Chemin du Musée, 10, Fribourg, FR, 1700, Switzerland
| | - Andreas Sichert
- Institute of Molecular Systems Biology, ETH Zurich, Otto-Stern-Weg 3, Zürich, 8093, Switzerland
| | - Sammy Pontrelli
- Institute of Molecular Systems Biology, ETH Zurich, Otto-Stern-Weg 3, Zürich, 8093, Switzerland
| | - Benjamin S Pullman
- Department of Computer Science and Engineering, University of California San Diego, 9500 Gilman Dr., San Diego, CA, 92093, United States
| | - Nuno Bandeira
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, 9500 Gilman Dr., San Diego, CA, 92093, United States
- Department of Computer Science and Engineering, University of California San Diego, 9500 Gilman Dr., San Diego, CA, 92093, United States
| | - William H. Gerwick
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, 9500 Gilman Dr., San Diego, CA, 92093, United States
- Scripps Institution of Oceanography, University of California San Diego, 9500 Gilman Dr., San Diego, CA, 92093, United States
| | - Katia Gindro
- Plant Protection, Mycology group, Agroscope, Rte de Duillier, 50, Nyon, VD, 1260, Switzerland
| | - Josep Massana-Codina
- Plant Protection, Mycology group, Agroscope, Rte de Duillier, 50, Nyon, VD, 1260, Switzerland
| | - Berenike C. Wagner
- Department of Microbiology and Organismic Interactions, Interfaculty Institute of Microbiology and Infection Medicine, University of Tuebingen, Auf der Morgenstelle 28, Tuebingen, 72076, Germany
| | - Karl Forchhammer
- Department of Microbiology and Organismic Interactions, Interfaculty Institute of Microbiology and Infection Medicine, University of Tuebingen, Auf der Morgenstelle 28, Tuebingen, 72076, Germany
| | - Daniel Petras
- Cluster of Excellence “Controlling Microbes to Fight Infections” (CMFI), University of Tuebingen, Auf der Morgenstelle 24, Tuebingen, 72076, Germany
| | - Nicole Aiosa
- School of Chemistry and Biochemistry, Georgia Institute of Technology, 950 Atlantic Drive, Atlanta, GA, 30332, United States
| | - Neha Garg
- School of Chemistry and Biochemistry, Georgia Institute of Technology, 950 Atlantic Drive, Atlanta, GA, 30332, United States
- Center for Microbial Dynamics and Infection, Georgia Institute of Technology, 311 Ferst Drive, Atlanta, GA, 30332, United States
| | - Manuel Liebeke
- Department of Symbiosis, Metabolic Interactions, Max Planck Institute for Marine Microbiology, Celsiusstrasse 1, Bremen, 28359, Germany
| | - Patric Bourceau
- Department of Symbiosis, Metabolic Interactions, Max Planck Institute for Marine Microbiology, Celsiusstrasse 1, Bremen, 28359, Germany
| | - Kyo Bin Kang
- Research Institute of Pharmaceutical Sciences, College of Pharmacy, Sookmyung Women’s University, Cheongpa-ro 47 gil 100, Seoul, 04310, Korea
| | - Henna Gadhavi
- Mycobacterial Metabolism and Antibiotic Research Laboratory, The Francis Crick Institute, 1 Midland Road, London, NW1 1AT, UK
- King’s College London, Strand, London, WC2R 2LS, UK
| | - Luiz Pedro Sorio de Carvalho
- Mycobacterial Metabolism and Antibiotic Research Laboratory, The Francis Crick Institute, 1 Midland Road, London, NW1 1AT, UK
- Chemistry Department, The Herbert Wertheim UF Scripps Institute for Biomedical Innovation & Technology, 110 Scripps Way, Jupiter, FL, 33458, United States
| | - Mariana Silva dos Santos
- Metabolomics Science Technology Platform, The Francis Crick Institute, 1 Midland Road, London, NW1 1AT, UK
| | - Alicia Isabel Pérez-Lorente
- Department of Microbiology, Instituto de Hortofruticultura Subtropical y Mediterránea ‘‘La Mayora’’, Universidad de Málaga-Consejo Superior de Investigaciones Científicas (IHSM-UMA-CSIC), Bulevar Louis Pasteur (Campus Universitario de Teatinos), Málaga, Málaga, 29071, Spain
| | - Carlos Molina-Santiago
- Department of Microbiology, Instituto de Hortofruticultura Subtropical y Mediterránea ‘‘La Mayora’’, Universidad de Málaga-Consejo Superior de Investigaciones Científicas (IHSM-UMA-CSIC), Bulevar Louis Pasteur (Campus Universitario de Teatinos), Málaga, Málaga, 29071, Spain
| | - Diego Romero
- Department of Microbiology, Instituto de Hortofruticultura Subtropical y Mediterránea ‘‘La Mayora’’, Universidad de Málaga-Consejo Superior de Investigaciones Científicas (IHSM-UMA-CSIC), Bulevar Louis Pasteur (Campus Universitario de Teatinos), Málaga, Málaga, 29071, Spain
| | - Raimo Franke
- Department of Chemical Biology, Helmholtz Centre for Infection Research, Inhoffenstraße 7, Braunschweig, 38124, Germany
| | - Mark Brönstrup
- Department of Chemical Biology, Helmholtz Centre for Infection Research, Inhoffenstraße 7, Braunschweig, 38124, Germany
- German Center for Infection Research (DZIF), Site Hannover-Braunschweig, Braunschweig, 38124, Germany
| | - Arturo Vera Ponce de León
- Faculty of Chemistry, BIotechnology and Food Science, Norwegian University of Life Sciences, Postboks 5003, Ås, 1433, Norway
| | - Phillip Byron Pope
- Faculty of Chemistry, BIotechnology and Food Science, Norwegian University of Life Sciences, Postboks 5003, Ås, 1433, Norway
- Faculty of Biosciences, Norwegian University of Life Sciences, Postboks 5003, Ås, 1433, Norway
| | - Sabina Leanti La Rosa
- Faculty of Chemistry, BIotechnology and Food Science, Norwegian University of Life Sciences, Postboks 5003, Ås, 1433, Norway
| | - Giorgia La Barbera
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Rolighedsvej 26, Frederiksberg, 1958, Denmark
| | - Henrik M. Roager
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Rolighedsvej 26, Frederiksberg, 1958, Denmark
| | - Martin Frederik Laursen
- National Food Institute, Technical University of Denmark, Kemitorvet B202, Lyngby, 2800, Denmark
| | - Fabian Hammerle
- Department of Pharmacognosy, Institute of Pharmacy, University of Innsbruck, Innrain 80-82, Innsbruck, 6020, Austria
| | - Bianka Siewert
- Department of Pharmacognosy, Institute of Pharmacy, University of Innsbruck, Innrain 80-82, Innsbruck, 6020, Austria
| | - Ursula Peintner
- Department of Microbiology, University of Innsbruck, Technikerstr. 25, Innsbruck, 6020, Austria
| | - Cuauhtemoc Licona-Cassani
- Escuela de Ingeniería y Ciencias, Centro de Biotecnología FEMSA, Tecnologico de Monterrey, Av. Eugenio Garza Sada 2501, Monterrey, Nuevo Leon, 64849, Mexico
| | - Lorena Rodriguez-Orduña
- Escuela de Ingeniería y Ciencias, Centro de Biotecnología FEMSA, Tecnologico de Monterrey, Av. Eugenio Garza Sada 2501, Monterrey, Nuevo Leon, 64849, Mexico
| | - Evelyn Rampler
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Str. 38, Vienna, 1090, Austria
| | - Felina Hildebrand
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Str. 38, Vienna, 1090, Austria
- Vienna Doctoral School in Chemistry (DoSChem), Faculty of Chemistry, University of Vienna, Waehringer Str. 42, Vienna, 1090, Austria
| | - Gunda Koellensperger
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Str. 38, Vienna, 1090, Austria
- Vienna Metabolomics Center (VIME), University of Vienna, Althanstr. 14,, Vienna, 1090, Austria
| | - Harald Schoeny
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Str. 38, Vienna, 1090, Austria
| | - Katharina Hohenwallner
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Str. 38, Vienna, 1090, Austria
- Vienna Doctoral School in Chemistry (DoSChem), Faculty of Chemistry, University of Vienna, Waehringer Str. 42, Vienna, 1090, Austria
| | - Lisa Panzenboeck
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Str. 38, Vienna, 1090, Austria
- Vienna Doctoral School in Chemistry (DoSChem), Faculty of Chemistry, University of Vienna, Waehringer Str. 42, Vienna, 1090, Austria
| | - Rachel Gregor
- Department of Civil and Environmental Engineering, School of Engineering, Massachusetts Institute of Technology, 77 Massachusetts Ave, Cambridge, MA, 02142, United States
| | - Ellis Charles O’Neill
- School of Chemistry, University of Nottingham, University Park, Nottingham, NG72RD, UK
| | | | - Jane Odoi
- Faculty of Engineering, University of Nottingham, University Park, Nottingham, NG72RD, UK
| | - Nicole J. Bale
- Department of Marine Microbiology and Biogeochemistry, Netherlands Institute for Sea Research (NIOZ), Landsdiep 4, t Horntje (Texel), 1797 SZ, Netherlands
| | - Su Ding
- Department of Marine Microbiology and Biogeochemistry, Netherlands Institute for Sea Research (NIOZ), Landsdiep 4, t Horntje (Texel), 1797 SZ, Netherlands
| | - Jaap S. Sinninghe Damsté
- Department of Marine Microbiology and Biogeochemistry, Netherlands Institute for Sea Research (NIOZ), Landsdiep 4, t Horntje (Texel), 1797 SZ, Netherlands
| | - Xueli Li Guan
- Lee Kong Chian School of Medicine, Nanyang Technological University, 59 Nanyang Drive, Singapore, Singapore, 636921, Singapore
| | - Jerry J. Cui
- Department of Microbiology, College of Arts and Sciences, The Ohio State University, 484 W. 12th Ave, Columbus, OH, 43210, United States
| | - Kou-San Ju
- Department of Microbiology, College of Arts and Sciences, The Ohio State University, 484 W. 12th Ave, Columbus, OH, 43210, United States
- Division of Medicinal Chemistry and Pharmacognosy, College of Pharmacy, The Ohio State University, 484 W. 12th Ave, Columbus, OH, 43210, United States
- Center for Applied Plant Sciences, The Ohio State University, 484 W. 12th Ave, Columbus, OH, 43210, United States
- Infectious Diseases Institute, The Ohio State University, 484 W. 12th Ave, Columbus, OH, 43210, United States
| | - Denise Brentan Silva
- Faculty of Pharmaceutical Sciences, Food and Nutrition, Federal University of Mato Grosso do Sul, Av. Costa e Silva, s/n, Campo Grande, MS, 79070-900, Brazil
| | - Fernanda Motta Ribeiro Silva
- Faculty of Pharmaceutical Sciences, Food and Nutrition, Federal University of Mato Grosso do Sul, Av. Costa e Silva, s/n, Campo Grande, MS, 79070-900, Brazil
| | | | - Hector H. F. Koolen
- Escola Superior de Ciências da Saúde, Universidade do Estado do Amazonas, 1777 Carvalho Leal Avenue, Manaus, AM, 69065-001, Brazil
| | - Carlismari Grundmann
- Department of Pharmaceutical Sciences, School of Pharmaceutical Sciences of Ribeirão Preto, University of São Paulo, Avenida do Café, Ribeirão Preto, SP, 14040-903, Brazil
| | - Jason A. Clement
- Baruch S. Blumberg Institute, 3805 Old Easton Rd., Doylestown, PA, 18902, United States
| | - Hosein Mohimani
- Computational Biology Department, School of Computer Science, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA, 15213, United States
| | - Kirk Broders
- USDA, Agricultural Research Service, National Center for Agricultural Utilization Research, Mycotoxin Prevention and Applied Microbiology Research Unit, 1815 N. University, Peoria, IL, 61604, United States
| | - Kerry L. McPhail
- Department of Pharmaceutical Sciences, College of Pharmacy, Oregon State University, Weniger Hall, room 341, Corvallis, OR, 97331, United States
| | - Sidnee E. Ober-Singleton
- Department of Physics, Study of Heavy-Element-Biomaterials, University of Oregon, 1255 E 13th Ave, Basement, Eugene, OR, 97402, United States
| | | | - Daniel McDonald
- Department of Pediatrics, University of California San Diego, 9500 Gilman Dr., San Diego, CA, 92093, United States
| | - Rob Knight
- Department of Computer Science and Engineering, University of California San Diego, 9500 Gilman Dr., San Diego, CA, 92093, United States
- Department of Pediatrics, University of California San Diego, 9500 Gilman Dr., San Diego, CA, 92093, United States
- Department of Bioengineering, University of California San Diego, 9500 Gilman Dr., San Diego, CA, 92093, United States
| | - Mingxun Wang
- Department of Computer Science and Engineering, University of California Riverside, 900 University Ave., Riverside, CA, 92521, United States
| | - Pieter C. Dorrestein
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, 9500 Gilman Dr., San Diego, CA, 92093, United States
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, 9500 Gilman Dr., San Diego, CA, 92093, United States
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Hildebrand F, Schoeny H, Rampler E, Koellensperger G. Scrutinizing different ionization responses of polar lipids in a reversed-phase gradient by implementing a counter-gradient. Anal Chim Acta 2023; 1265:341274. [PMID: 37230568 DOI: 10.1016/j.aca.2023.341274] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 03/30/2023] [Accepted: 04/23/2023] [Indexed: 05/27/2023]
Abstract
Lipidomics studies strive for a comprehensive identification and quantification of lipids. While reversed phase (RP) liquid chromatography (LC) coupled to high resolution mass spectrometry (MS) offers unrivalled selectivity and thus is the preferred method for lipid identification, accurate lipid quantification remains challenging. The widely adopted one-point lipid class specific quantification (one internal standard per lipid class) suffers from the fact that ionization of internal standard and target lipid occurs under different solvent composition as a consequence of chromatographic separation. To address this issue, we established a dual flow injection and chromatography setup that allows to control solvent conditions during ionization enabling isocratic ionization while running a RP gradient through the use of a counter-gradient. Using this dual LC pump platform, we investigated the impact of solvent conditions within a RP gradient on ionization response and arising quantification biases. Our results confirmed that changing solvent composition significantly influences ionization response. Quantification of human plasma (SRM 1950) lipids under gradient and isocratic ionization conditions further confirmed these findings as significant differences between the two conditions were found for the majority of lipids. While the quantity of sphingomyelins with >40 C atoms was consistently overestimated under gradient ionization, isocratic ionization improved their recovery compared to consensus values. However, the limitation of consensus values was demonstrated as overall only small changes in z-score were observed because of high uncertainties of the consensus values. Furthermore, we observed a trueness bias between gradient and isocratic ionization when quantifying a panel of lipid species standards which is highly dependent on lipid class and ionization mode. Uncertainty calculations under consideration of the trueness bias as RP gradient uncertainty revealed that especially ceramides with >40 C atoms had a high bias leading to total combined uncertainties of up to 54%. The assumption of isocratic ionization significantly decreases total measurement uncertainty and highlights the importance of studying the trueness bias introduced by a RP gradient to reduce quantification uncertainty.
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Affiliation(s)
- Felina Hildebrand
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Str. 38, 1090, Vienna, Austria; Vienna Doctoral School in Chemistry (DoSChem), University of Vienna, Vienna, Austria
| | - Harald Schoeny
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Str. 38, 1090, Vienna, Austria
| | - Evelyn Rampler
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Str. 38, 1090, Vienna, Austria
| | - Gunda Koellensperger
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Str. 38, 1090, Vienna, Austria; Vienna Metabolomics Center (VIME), University of Vienna, Althanstr. 14, 1090, Vienna, Austria.
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5
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Verrillo M, Koellensperger G, Puehringer M, Cozzolino V, Spaccini R, Rampler E. Evaluation of Sustainable Recycled Products to Increase the Production of Nutraceutical and Antibacterial Molecules in Basil Plants by a Combined Metabolomic Approach. Plants (Basel) 2023; 12:513. [PMID: 36771598 PMCID: PMC9919386 DOI: 10.3390/plants12030513] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 01/12/2023] [Accepted: 01/19/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND An important goal of modern medicine is the development of products deriving from natural sources to improve environmental sustainability. In this study, humic substances (HS) and compost teas (CTs) extracted from artichoke (ART) and coffee grounds (COF) as recycled biomasses were employed on Ocimum basilicum plants to optimize the yield of specific metabolites with nutraceutical and antibacterial features by applying sustainable strategies. METHODS The molecular characteristics of compost derivates were elucidated by Nuclear Magnetic Resonance spectroscopy to investigate the structure-activity relationship between organic extracts and their bioactive potential. Additionally, combined untargeted and targeted metabolomics workflows were applied to plants treated with different concentrations of compost extracts. RESULTS The substances HS-ART and CT-COF improved both antioxidant activity (TEAC values between 39 and 55 μmol g-1) and the antimicrobial efficacy (MIC value between 3.7 and 1.3 μg mL-1) of basil metabolites. The metabolomic approach identified about 149 metabolites related to the applied treatments. Targeted metabolite quantification further highlighted the eliciting effect of HS-ART and CT-COF on the synthesis of aromatic amino acids and phenolic compounds for nutraceutical application. CONCLUSIONS The combination of molecular characterization, biological assays, and an advanced metabolomic approach, provided innovative insight into the valorization of recycled biomass to increase the availability of natural compounds employed in the medical field.
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Affiliation(s)
- Mariavittoria Verrillo
- Dipartimento di Agraria, Università di Napoli Federico II, Via Università 100, 80055 Portici, Italy
- Centro Interdipartimentale di Ricerca per la Risonanza Magnetica Nucleare per l’Ambiente, l’Agroalimentare, ed i Nuovi Materiali (CERMANU), Università di Napoli Federico II, Via Università 100, 80055 Portici, Italy
| | - Gunda Koellensperger
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Strasse 38, 1090 Vienna, Austria
- Vienna Metabolomics Center (VIME), University of Vienna, Althanstrasse 14, 1090 Vienna, Austria
| | - Marlene Puehringer
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Strasse 38, 1090 Vienna, Austria
- Vienna Metabolomics Center (VIME), University of Vienna, Althanstrasse 14, 1090 Vienna, Austria
| | - Vincenza Cozzolino
- Dipartimento di Agraria, Università di Napoli Federico II, Via Università 100, 80055 Portici, Italy
- Centro Interdipartimentale di Ricerca per la Risonanza Magnetica Nucleare per l’Ambiente, l’Agroalimentare, ed i Nuovi Materiali (CERMANU), Università di Napoli Federico II, Via Università 100, 80055 Portici, Italy
| | - Riccardo Spaccini
- Dipartimento di Agraria, Università di Napoli Federico II, Via Università 100, 80055 Portici, Italy
- Centro Interdipartimentale di Ricerca per la Risonanza Magnetica Nucleare per l’Ambiente, l’Agroalimentare, ed i Nuovi Materiali (CERMANU), Università di Napoli Federico II, Via Università 100, 80055 Portici, Italy
| | - Evelyn Rampler
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Strasse 38, 1090 Vienna, Austria
- Vienna Metabolomics Center (VIME), University of Vienna, Althanstrasse 14, 1090 Vienna, Austria
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6
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Flasch M, Fitz V, Rampler E, Ezekiel CN, Koellensperger G, Warth B. Integrated Exposomics/Metabolomics for Rapid Exposure and Effect Analyses. JACS Au 2022; 2:2548-2560. [PMID: 36465551 PMCID: PMC9709941 DOI: 10.1021/jacsau.2c00433] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 10/13/2022] [Accepted: 10/14/2022] [Indexed: 06/17/2023]
Abstract
The totality of environmental exposures and lifestyle factors, commonly referred to as the exposome, is poorly understood. Measuring the myriad of chemicals that humans are exposed to is immensely challenging, and identifying disrupted metabolic pathways is even more complex. Here, we present a novel technological approach for the comprehensive, rapid, and integrated analysis of the endogenous human metabolome and the chemical exposome. By combining reverse-phase and hydrophilic interaction liquid chromatography (HILIC) and fast polarity-switching, molecules with highly diverse chemical structures can be analyzed in 15 min with a single analytical run as both column's effluents are combined before analysis. Standard reference materials and authentic standards were evaluated to critically benchmark performance. Highly sensitive median limits of detection (LODs) with 0.04 μM for >140 quantitatively assessed endogenous metabolites and 0.08 ng/mL for the >100 model xenobiotics and human estrogens in solvent were obtained. In matrix, the median LOD values were higher with 0.7 ng/mL (urine) and 0.5 ng/mL (plasma) for exogenous chemicals. To prove the dual-column approach's applicability, real-life urine samples from sub-Saharan Africa (high-exposure scenario) and Europe (low-exposure scenario) were assessed in a targeted and nontargeted manner. Our liquid chromatography high-resolution mass spectrometry (LC-HRMS) approach demonstrates the feasibility of quantitatively and simultaneously assessing the endogenous metabolome and the chemical exposome for the high-throughput measurement of environmental drivers of diseases.
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Affiliation(s)
- Mira Flasch
- Faculty
of Chemistry, Department of Food Chemistry and Toxicology, University of Vienna, Währinger Straße 38-40, 1090 Vienna, Austria
- Vienna
Doctoral School of Chemistry, University
of Vienna, Währinger Straße 42, 1090 Vienna, Austria
| | - Veronika Fitz
- Vienna
Doctoral School of Chemistry, University
of Vienna, Währinger Straße 42, 1090 Vienna, Austria
- Faculty
of Chemistry, Department of Analytical Chemistry, University of Vienna, Währinger Straße 38-40, 1090 Vienna, Austria
| | - Evelyn Rampler
- Faculty
of Chemistry, Department of Analytical Chemistry, University of Vienna, Währinger Straße 38-40, 1090 Vienna, Austria
| | - Chibundu N. Ezekiel
- Department
of Microbiology, Babcock University, 121103 Ilishan
Remo, Ogun State, Nigeria
| | - Gunda Koellensperger
- Faculty
of Chemistry, Department of Analytical Chemistry, University of Vienna, Währinger Straße 38-40, 1090 Vienna, Austria
- Exposome
Austria, Research Infrastructure and National EIRENE Hub, 1090 Vienna, Austria
| | - Benedikt Warth
- Faculty
of Chemistry, Department of Food Chemistry and Toxicology, University of Vienna, Währinger Straße 38-40, 1090 Vienna, Austria
- Exposome
Austria, Research Infrastructure and National EIRENE Hub, 1090 Vienna, Austria
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7
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Hohenwallner K, Troppmair N, Panzenboeck L, Kasper C, El Abiead Y, Koellensperger G, Lamp LM, Hartler J, Egger D, Rampler E. Decoding Distinct Ganglioside Patterns of Native and Differentiated Mesenchymal Stem Cells by a Novel Glycolipidomics Profiling Strategy. JACS Au 2022; 2:2466-2480. [PMID: 36465531 PMCID: PMC9709940 DOI: 10.1021/jacsau.2c00230] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Revised: 10/01/2022] [Accepted: 10/03/2022] [Indexed: 06/17/2023]
Abstract
Gangliosides are an indispensable glycolipid class concentrated on cell surfaces with a critical role in stem cell differentiation. Nonetheless, owing to the lack of suitable methods for scalable analysis covering the full scope of ganglioside molecular diversity, their mechanistic properties in signaling and differentiation remain undiscovered to a large extent. This work introduces a sensitive and comprehensive ganglioside assay based on liquid chromatography, high-resolution mass spectrometry, and multistage fragmentation. Complemented by an open-source data evaluation workflow, we provide automated in-depth lipid species-level and molecular species-level annotation based on decision rule sets for all major ganglioside classes. Compared to conventional state-of-the-art methods, the presented ganglioside assay offers (1) increased sensitivity, (2) superior structural elucidation, and (3) the possibility to detect novel ganglioside species. A major reason for the highly improved sensitivity is the optimized spectral readout based on the unique capability of two parallelizable mass analyzers for multistage fragmentation. We demonstrated the high-throughput universal capability of our novel analytical strategy by identifying 254 ganglioside species. As a proof of concept, 137 unique gangliosides were annotated in native and differentiated human mesenchymal stem cells including 78 potential cell-state-specific markers and 38 previously unreported gangliosides. A general increase of the ganglioside numbers upon differentiation was observed as well as cell-state-specific clustering based on the ganglioside species patterns. The combination of the developed glycolipidomics assay with the extended automated annotation tool enables comprehensive in-depth ganglioside characterization as shown on biological samples of interest. Our results suggest ganglioside patterns as a promising quality control tool for stem cells and their differentiation products. Additionally, we believe that our analytical workflow paves the way for probing glycolipid-based biochemical processes shedding light on the enigmatic processes of gangliosides and glycolipids in general.
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Affiliation(s)
- Katharina Hohenwallner
- Department
of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Vienna 1090, Austria
- Vienna
Doctoral School in Chemistry (DoSChem), University of Vienna, Vienna 1090, Austria
| | - Nina Troppmair
- Department
of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Vienna 1090, Austria
- Vienna
Doctoral School in Chemistry (DoSChem), University of Vienna, Vienna 1090, Austria
| | - Lisa Panzenboeck
- Department
of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Vienna 1090, Austria
- Vienna
Doctoral School in Chemistry (DoSChem), University of Vienna, Vienna 1090, Austria
| | - Cornelia Kasper
- Institute
of Cell and Tissue Culture Technologies, University of Natural Resources and Life Sciences, Vienna 1190, Austria
| | - Yasin El Abiead
- Department
of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Vienna 1090, Austria
| | - Gunda Koellensperger
- Department
of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Vienna 1090, Austria
| | - Leonida M. Lamp
- Institute
of Pharmaceutical Sciences, University of
Graz, Graz 8010, Austria
| | - Jürgen Hartler
- Institute
of Pharmaceutical Sciences, University of
Graz, Graz 8010, Austria
- Field
of Excellence BioHealth − University
of Graz, Graz 8010, Austria
| | - Dominik Egger
- Institute
of Cell and Tissue Culture Technologies, University of Natural Resources and Life Sciences, Vienna 1190, Austria
| | - Evelyn Rampler
- Department
of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Vienna 1090, Austria
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8
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Irrgeher J, Rampler E, Steininger-Mairinger T. Making waves in analytical chemistry. Anal Bioanal Chem 2022; 414:7335-7336. [PMID: 35974198 DOI: 10.1007/s00216-022-04273-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/08/2022] [Indexed: 11/24/2022]
Affiliation(s)
- Johanna Irrgeher
- Department of General, Analytical and Physical Chemistry, Chair of General and Analytical Chemistry, Montanuniversität Leoben, Franz-Josef-Straße 18, 8700, Leoben, Austria. .,Department of Physics and Astronomy, University of Calgary, 2500 University Dr NW, Calgary, AB, T2N 1N4, Canada.
| | - Evelyn Rampler
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Währinger Straße 38, 1090, Vienna, Austria
| | - Teresa Steininger-Mairinger
- Institute of Analytical Chemistry, Department of Chemistry, University of Natural Resources and Life Sciences, Vienna (BOKU), Muthgasse 18, 1190, Vienna, Austria
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9
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Schoeny H, Rampler E, Binh Chu D, Schoeberl A, Galvez L, Blaukopf M, Kosma P, Koellensperger G. Achieving Absolute Molar Lipid Concentrations: A Phospholipidomics Cross-Validation Study. Anal Chem 2022; 94:1618-1625. [PMID: 35025205 PMCID: PMC8792901 DOI: 10.1021/acs.analchem.1c03743] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Accepted: 01/05/2022] [Indexed: 01/28/2023]
Abstract
Standardization is essential in lipidomics and part of a huge community effort. However, with the still ongoing lack of reference materials, benchmarking quantification is hampered. Here, we propose traceable lipid class quantification as an important layer for the validation of quantitative lipidomics workflows. 31P nuclear magnetic resonance (NMR) and inductively coupled plasma (ICP)-mass spectrometry (MS) can use certified species-unspecific standards to validate shotgun or liquid chromatography (LC)-MS-based lipidomics approaches. We further introduce a novel lipid class quantification strategy based on lipid class separation and mass spectrometry using an all ion fragmentation (AIF) approach. Class-specific fragments, measured over a mass range typical for the lipid classes, are integrated to assess the lipid class concentration. The concept proved particularly interesting as low absolute limits of detection in the fmol range were achieved and LC-MS platforms are widely used in the field of lipidomics, while the accessibility of NMR and ICP-MS is limited. Using completely independent calibration strategies, the introduced validation scheme comprised the quantitative assessment of the complete phospholipid sub-ome, next to the individual lipid classes. Komagataella phaffii served as a prime example, showcasing mass balances and supporting the value of benchmarks for quantification at the lipid species level.
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Affiliation(s)
- Harald Schoeny
- Department
of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Str. 38, 1090 Vienna, Austria
| | - Evelyn Rampler
- Department
of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Str. 38, 1090 Vienna, Austria
- Vienna
Metabolomics Center (VIME), University of
Vienna, Althanstraße
14, 1090 Vienna, Austria
- Chemistry
Meets Microbiology, Althanstraße
14, 1090 Vienna, Austria
| | - Dinh Binh Chu
- Department
of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Str. 38, 1090 Vienna, Austria
- School
of Chemical Engineering, Hanoi University
of Science and Technology, 1 Dai Co Viet, Hai Ba Trung, Hanoi 100000, Vietnam
| | - Anna Schoeberl
- Department
of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Str. 38, 1090 Vienna, Austria
| | - Luis Galvez
- Department
of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Str. 38, 1090 Vienna, Austria
| | - Markus Blaukopf
- Department
of Chemistry, University of Natural Resources
and Life Sciences Vienna, 1190 Vienna, Austria
| | - Paul Kosma
- Department
of Chemistry, University of Natural Resources
and Life Sciences Vienna, 1190 Vienna, Austria
| | - Gunda Koellensperger
- Department
of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Str. 38, 1090 Vienna, Austria
- Vienna
Metabolomics Center (VIME), University of
Vienna, Althanstraße
14, 1090 Vienna, Austria
- Chemistry
Meets Microbiology, Althanstraße
14, 1090 Vienna, Austria
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10
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Rampler E, Baker ES, Kirkwood KI, Schwaiger-Haber M, Tam M, Jones MA, Sherman M. Empowering women and addressing underrepresentation in the field of mass spectrometry. Expert Rev Proteomics 2022; 19:1-3. [PMID: 35164649 PMCID: PMC10598232 DOI: 10.1080/14789450.2022.2039631] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Accepted: 01/27/2022] [Indexed: 11/04/2022]
Affiliation(s)
- Evelyn Rampler
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria
| | - Erin S. Baker
- Department of Chemistry, North Carolina State University, Raleigh, NC, USA
| | - Kaylie I. Kirkwood
- Department of Chemistry, North Carolina State University, Raleigh, NC, USA
| | | | - Maggie Tam
- Science and Engineering Directorate, Canada Border Services Agency, Ottawa, ON, Canada
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11
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Fronik P, Poetsch I, Kastner A, Mendrina T, Hager S, Hohenwallner K, Schueffl H, Herndler-Brandstetter D, Koellensperger G, Rampler E, Kopecka J, Riganti C, Berger W, Keppler BK, Heffeter P, Kowol CR. Structure-Activity Relationships of Triple-Action Platinum(IV) Prodrugs with Albumin-Binding Properties and Immunomodulating Ligands. J Med Chem 2021; 64:12132-12151. [PMID: 34403254 PMCID: PMC8404199 DOI: 10.1021/acs.jmedchem.1c00770] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Indexed: 12/27/2022]
Abstract
Chemotherapy with platinum complexes is essential for clinical anticancer therapy. However, due to side effects and drug resistance, further drug improvement is urgently needed. Herein, we report on triple-action platinum(IV) prodrugs, which, in addition to tumor targeting via maleimide-mediated albumin binding, release the immunomodulatory ligand 1-methyl-d-tryptophan (1-MDT). Unexpectedly, structure-activity relationship analysis showed that the mode of 1-MDT conjugation distinctly impacts the reducibility and thus activation of the prodrugs. This in turn affected ligand release, pharmacokinetic properties, efficiency of immunomodulation, and the anticancer activity in vitro and in a mouse model in vivo. Moreover, we could demonstrate that the design of albumin-targeted multi-modal prodrugs using platinum(IV) is a promising strategy to enhance the cellular uptake of bioactive ligands with low cell permeability (1-MDT) and to improve their selective delivery into the malignant tissue. This will allow tumor-specific anticancer therapy supported by a favorably tuned immune microenvironment.
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Affiliation(s)
- Philipp Fronik
- Faculty
of Chemistry, Institute of Inorganic Chemistry, University of Vienna, Waehringer Strasse 42, 1090 Vienna, Austria
| | - Isabella Poetsch
- Faculty
of Chemistry, Institute of Inorganic Chemistry, University of Vienna, Waehringer Strasse 42, 1090 Vienna, Austria
- Institute
of Cancer Research and Comprehensive Cancer Center, Medical University of Vienna, Borschkegasse 8a, 1090 Vienna, Austria
- Research
Cluster “Translational Cancer Therapy Research”, 1090 Vienna, Austria
| | - Alexander Kastner
- Faculty
of Chemistry, Institute of Inorganic Chemistry, University of Vienna, Waehringer Strasse 42, 1090 Vienna, Austria
| | - Theresa Mendrina
- Institute
of Cancer Research and Comprehensive Cancer Center, Medical University of Vienna, Borschkegasse 8a, 1090 Vienna, Austria
| | - Sonja Hager
- Institute
of Cancer Research and Comprehensive Cancer Center, Medical University of Vienna, Borschkegasse 8a, 1090 Vienna, Austria
| | - Katharina Hohenwallner
- Faculty
of Chemistry, Institute of Analytical Chemistry, University of Vienna, Waehringer Strasse 38, 1090 Vienna, Austria
| | - Hemma Schueffl
- Institute
of Cancer Research and Comprehensive Cancer Center, Medical University of Vienna, Borschkegasse 8a, 1090 Vienna, Austria
| | - Dietmar Herndler-Brandstetter
- Institute
of Cancer Research and Comprehensive Cancer Center, Medical University of Vienna, Borschkegasse 8a, 1090 Vienna, Austria
| | - Gunda Koellensperger
- Faculty
of Chemistry, Institute of Analytical Chemistry, University of Vienna, Waehringer Strasse 38, 1090 Vienna, Austria
| | - Evelyn Rampler
- Faculty
of Chemistry, Institute of Analytical Chemistry, University of Vienna, Waehringer Strasse 38, 1090 Vienna, Austria
| | - Joanna Kopecka
- Department
of Oncology, University of Torino, via Santena 5/bis, 10126 Torino, Italy
| | - Chiara Riganti
- Department
of Oncology, University of Torino, via Santena 5/bis, 10126 Torino, Italy
| | - Walter Berger
- Institute
of Cancer Research and Comprehensive Cancer Center, Medical University of Vienna, Borschkegasse 8a, 1090 Vienna, Austria
- Research
Cluster “Translational Cancer Therapy Research”, 1090 Vienna, Austria
| | - Bernhard K. Keppler
- Faculty
of Chemistry, Institute of Inorganic Chemistry, University of Vienna, Waehringer Strasse 42, 1090 Vienna, Austria
- Research
Cluster “Translational Cancer Therapy Research”, 1090 Vienna, Austria
| | - Petra Heffeter
- Institute
of Cancer Research and Comprehensive Cancer Center, Medical University of Vienna, Borschkegasse 8a, 1090 Vienna, Austria
- Research
Cluster “Translational Cancer Therapy Research”, 1090 Vienna, Austria
| | - Christian R. Kowol
- Faculty
of Chemistry, Institute of Inorganic Chemistry, University of Vienna, Waehringer Strasse 42, 1090 Vienna, Austria
- Research
Cluster “Translational Cancer Therapy Research”, 1090 Vienna, Austria
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12
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Schoeny H, Rampler E, El Abiead Y, Hildebrand F, Zach O, Hermann G, Koellensperger G. A combined flow injection/reversed-phase chromatography-high-resolution mass spectrometry workflow for accurate absolute lipid quantification with 13C internal standards. Analyst 2021; 146:2591-2599. [PMID: 33734229 DOI: 10.1039/d0an02443k] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
We propose a fully automated novel workflow for lipidomics based on flow injection, followed by liquid chromatography-high-resolution mass spectrometry (FI/LC-HRMS). The workflow combined in-depth characterization of the lipidome achieved via reversed-phase LC-HRMS with absolute quantification by using a large number of lipid species-specific and/or retention time (RT)-matched/class-specific calibrants. The lipidome of 13C-labelled yeast (LILY) provided a large panel of cost-effective internal standards (ISTDs) covering triacylglycerols (TG), steryl esters (SE), free fatty acids (FA), diacylglycerols (DG), sterols (ST), ceramides (Cer), hexosyl ceramides (HexCer), phosphatidylglycerols (PG), phosphatidylethanolamines (PE), phosphatidic acids (PA), cardiolipins (CL), phosphatidylinositols (PI), phosphatidylserines (PS), phosphatidylcholines (PC), lysophosphatidylcholines (LPC) and lysophosphatidylethanolamines (LPE). The workflow in combination with the LILY lipid panel enables simultaneous quantification via (1) external multi-point calibration with internal standardization and (2) internal one-point calibration with LILY as a surrogate ISTD, increasing the coverage while keeping the accuracy and throughput high. Extensive measures on quality control allowed us to rank the calibration strategies and to automatically select the calibration strategy of the highest metrological order for the respective lipid species. Overall, the workflow enabled a streamlined analysis, with a limit of detection in the low femtomolar range, and provided validation tools together with absolute concentration values for >350 lipids in human plasma on a species level. Based on the selected standard panel, lipids from 7 classes (LPC, LPE, PC, PE, PI, DG, TG) passed stringent quality filters, which included QC accuracy, a precision and recovery bias of <30% and concentrations within the 99% confidence interval of the international laboratory comparison of SRM 1950, NIST, USA. The quantitative values are independent of common deuterated or non-endogenous ISTDs, thus offering cross-validation of different lipid methods and further standardizing lipidomics.
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Affiliation(s)
- Harald Schoeny
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Strasse 38, 1090 Vienna, Austria.
| | - Evelyn Rampler
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Strasse 38, 1090 Vienna, Austria. and Vienna Metabolomics Center (VIME), University of Vienna, Althanstrasse 14, 1090 Vienna, Austria and Chemistry Meets Microbiology, Althanstrasse 14, 1090 Vienna, Austria
| | - Yasin El Abiead
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Strasse 38, 1090 Vienna, Austria.
| | - Felina Hildebrand
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Strasse 38, 1090 Vienna, Austria.
| | - Olivia Zach
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Strasse 38, 1090 Vienna, Austria.
| | - Gerrit Hermann
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Strasse 38, 1090 Vienna, Austria. and ISOtopic solutions, Waehringer Strasse 38, 1090 Vienna, Austria
| | - Gunda Koellensperger
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Strasse 38, 1090 Vienna, Austria. and Vienna Metabolomics Center (VIME), University of Vienna, Althanstrasse 14, 1090 Vienna, Austria and Chemistry Meets Microbiology, Althanstrasse 14, 1090 Vienna, Austria
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13
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Rampler E, Hermann G, Grabmann G, El Abiead Y, Schoeny H, Baumgartinger C, Köcher T, Koellensperger G. Benchmarking Non-Targeted Metabolomics Using Yeast-Derived Libraries. Metabolites 2021; 11:metabo11030160. [PMID: 33802096 PMCID: PMC7998801 DOI: 10.3390/metabo11030160] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Revised: 03/01/2021] [Accepted: 03/08/2021] [Indexed: 12/19/2022] Open
Abstract
Non-targeted analysis by high-resolution mass spectrometry (HRMS) is an essential discovery tool in metabolomics. To date, standardization and validation remain a challenge. Community-wide accepted cost-effective benchmark materials are lacking. In this work, we propose yeast (Pichia pastoris) extracts derived from fully controlled fermentations for this purpose. We established an open-source metabolite library of >200 identified metabolites based on compound identification by accurate mass, matching retention times, and MS/MS, as well as a comprehensive literature search. The library includes metabolites from the classes of (1) organic acids and derivatives (2) nucleosides, nucleotides, and analogs, (3) lipids and lipid-like molecules, (4) organic oxygen compounds, (5) organoheterocyclic compounds, (6) organic nitrogen compounds, and (7) benzoids at expected concentrations ranges of sub-nM to µM. As yeast is a eukaryotic organism, key regulatory elements are highly conserved between yeast and all annotated metabolites were also reported in the human metabolome database (HMDB). Orthogonal state-of-the-art reversed-phase (RP-) and hydrophilic interaction chromatography mass spectrometry (HILIC-MS) non-targeted analysis and authentic standards revealed that 104 out of the 206 confirmed metabolites were reproducibly recovered and stable over the course of three years when stored at −80 °C. Overall, 67 out of these 104 metabolites were identified with comparably stable areas over all three yeast fermentation and are the ideal starting point for benchmarking experiments. The provided yeast benchmark material enabled not only to test for the chemical space and coverage upon method implementation and developments but also allowed in-house routines for instrumental performance tests. Transferring the quality control strategy of proteomics workflows based on the number of protein identification in HeLa extracts, metabolite IDs in the yeast benchmarking material can be used as metabolomics quality control. Finally, the benchmark material opens new avenues for batch-to-batch corrections in large-scale non-targeted metabolomics studies.
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Affiliation(s)
- Evelyn Rampler
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Währinger Str. 38, 1090 Vienna, Austria; (E.R.); (G.H.); (Y.E.A.); (H.S.); (C.B.)
- Vienna Metabolomics Center (VIME), University of Vienna, Althanstraße 14, 1090 Vienna, Austria
| | - Gerrit Hermann
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Währinger Str. 38, 1090 Vienna, Austria; (E.R.); (G.H.); (Y.E.A.); (H.S.); (C.B.)
- ISOtopic Solutions, Währinger Str. 38, 1090 Vienna, Austria
| | - Gerlinde Grabmann
- Metabolomics Core Facility, Vienna BioCenter Core Facilities, Dr.-Bohr-Gasse 3, 1030 Vienna, Austria; (G.G.); (T.K.)
| | - Yasin El Abiead
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Währinger Str. 38, 1090 Vienna, Austria; (E.R.); (G.H.); (Y.E.A.); (H.S.); (C.B.)
| | - Harald Schoeny
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Währinger Str. 38, 1090 Vienna, Austria; (E.R.); (G.H.); (Y.E.A.); (H.S.); (C.B.)
| | - Christoph Baumgartinger
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Währinger Str. 38, 1090 Vienna, Austria; (E.R.); (G.H.); (Y.E.A.); (H.S.); (C.B.)
| | - Thomas Köcher
- Metabolomics Core Facility, Vienna BioCenter Core Facilities, Dr.-Bohr-Gasse 3, 1030 Vienna, Austria; (G.G.); (T.K.)
| | - Gunda Koellensperger
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Währinger Str. 38, 1090 Vienna, Austria; (E.R.); (G.H.); (Y.E.A.); (H.S.); (C.B.)
- Vienna Metabolomics Center (VIME), University of Vienna, Althanstraße 14, 1090 Vienna, Austria
- Correspondence:
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14
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Rampler E, Abiead YE, Schoeny H, Rusz M, Hildebrand F, Fitz V, Koellensperger G. Recurrent Topics in Mass Spectrometry-Based Metabolomics and Lipidomics-Standardization, Coverage, and Throughput. Anal Chem 2021; 93:519-545. [PMID: 33249827 PMCID: PMC7807424 DOI: 10.1021/acs.analchem.0c04698] [Citation(s) in RCA: 74] [Impact Index Per Article: 24.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Affiliation(s)
- Evelyn Rampler
- Department of Analytical
Chemistry, Faculty of Chemistry, University of Vienna, Währinger Str. 38, 1090 Vienna, Austria
- Vienna Metabolomics Center (VIME), University of Vienna, Althanstraße 14, 1090 Vienna, Austria
- University of Vienna, Althanstraße 14, 1090 Vienna, Austria
| | - Yasin El Abiead
- Department of Analytical
Chemistry, Faculty of Chemistry, University of Vienna, Währinger Str. 38, 1090 Vienna, Austria
| | - Harald Schoeny
- Department of Analytical
Chemistry, Faculty of Chemistry, University of Vienna, Währinger Str. 38, 1090 Vienna, Austria
| | - Mate Rusz
- Department of Analytical
Chemistry, Faculty of Chemistry, University of Vienna, Währinger Str. 38, 1090 Vienna, Austria
- Institute of Inorganic
Chemistry, University of Vienna, Währinger Straße 42, 1090 Vienna, Austria
| | - Felina Hildebrand
- Department of Analytical
Chemistry, Faculty of Chemistry, University of Vienna, Währinger Str. 38, 1090 Vienna, Austria
| | - Veronika Fitz
- Department of Analytical
Chemistry, Faculty of Chemistry, University of Vienna, Währinger Str. 38, 1090 Vienna, Austria
| | - Gunda Koellensperger
- Department of Analytical
Chemistry, Faculty of Chemistry, University of Vienna, Währinger Str. 38, 1090 Vienna, Austria
- Vienna Metabolomics Center (VIME), University of Vienna, Althanstraße 14, 1090 Vienna, Austria
- University of Vienna, Althanstraße 14, 1090 Vienna, Austria
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15
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Panzenboeck L, Troppmair N, Schlachter S, Koellensperger G, Hartler J, Rampler E. Chasing the Major Sphingolipids on Earth: Automated Annotation of Plant Glycosyl Inositol Phospho Ceramides by Glycolipidomics. Metabolites 2020; 10:metabo10090375. [PMID: 32961698 PMCID: PMC7570276 DOI: 10.3390/metabo10090375] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Revised: 09/16/2020] [Accepted: 09/16/2020] [Indexed: 12/15/2022] Open
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 analyzed and the results revealed 64 GIPCs based on accurate mass, characteristic MS2 fragments and matching retention times. Relative quantification using lactosyl ceramide for internal standardization revealed GIPC t18:1/h24:0 as the most abundant species in all plants. Depending on the plant sample, GIPCs contained mainly amine, N-acetylamine or hydroxyl residues. Most GIPCs revealed a Hex-HexA-IPC core and contained a ceramide part with a trihydroxylated t18:0 or a t18:1 long chain base and hydroxylated fatty acid chains ranging from 16 to 26 carbon atoms in length (h16:0-h26:0). Interestingly, four GIPCs containing t18:2 were observed in the raspberry sample, which was not reported so far. The presented workflow supports the characterization of different plant samples by automatic GIPC assignment, potentially leading to the identification of new GIPCs. For the first time, automated high-throughput profiling of these complex glycolipids is possible by liquid chromatography-high-resolution tandem mass spectrometry and subsequent automated glycolipid annotation based on decision rules.
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Affiliation(s)
- Lisa Panzenboeck
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Str. 38, 1090 Vienna, Austria; (L.P.); (N.T.); (S.S.); (G.K.)
| | - Nina Troppmair
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Str. 38, 1090 Vienna, Austria; (L.P.); (N.T.); (S.S.); (G.K.)
| | - Sara Schlachter
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Str. 38, 1090 Vienna, Austria; (L.P.); (N.T.); (S.S.); (G.K.)
| | - Gunda Koellensperger
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Str. 38, 1090 Vienna, Austria; (L.P.); (N.T.); (S.S.); (G.K.)
- Vienna Metabolomics Center (VIME), University of Vienna, Althanstraße 14, 1090 Vienna, Austria
- Chemistry Meets Microbiology, University of Vienna, Althanstraße 14, 1090 Vienna, Austria
| | - Jürgen Hartler
- Institute of Pharmaceutical Sciences, University of Graz, Universitätsplatz 1/I, 8010 Graz, Austria;
| | - Evelyn Rampler
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Str. 38, 1090 Vienna, Austria; (L.P.); (N.T.); (S.S.); (G.K.)
- Vienna Metabolomics Center (VIME), University of Vienna, Althanstraße 14, 1090 Vienna, Austria
- Chemistry Meets Microbiology, University of Vienna, Althanstraße 14, 1090 Vienna, Austria
- Correspondence: ; Tel.: +43-1-4277-52381
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16
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Schoeny H, Rampler E, Hermann G, Grienke U, Rollinger JM, Koellensperger G. Preparative supercritical fluid chromatography for lipid class fractionation-a novel strategy in high-resolution mass spectrometry based lipidomics. Anal Bioanal Chem 2020; 412:2365-2374. [PMID: 32130438 PMCID: PMC7118041 DOI: 10.1007/s00216-020-02463-5] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Revised: 01/08/2020] [Accepted: 01/28/2020] [Indexed: 01/01/2023]
Abstract
In this work, a lipidomics workflow based on offline semi-preparative lipid class-specific fractionation by supercritical fluid chromatography (SFC) followed by high-resolution mass spectrometry was introduced. The powerful SFC approach offered separation of a wide polarity range for lipids, enabled enrichment (up to 3 orders of magnitude) of lipids, selective fractionation of 14 lipid classes/subclasses, and increased dynamic range enabling in-depth characterization. A significantly increased coverage of low abundant lipids improving lipid identification by numbers and degree (species and molecular level) was obtained in Pichia pastoris when comparing high-resolution mass spectrometry based lipidomics with and without prior fractionation. Proof-of-principle experiments using a standard reference material (SRM 1950, NIST) for human plasma showed that the proposed strategy enabled quantitative lipidomics. Indeed, for 70 lipids, the consensus values available for this sample could be met. Thus, the novel workflow is ideally suited for lipid class-specific purification/isolation from milligram amounts of sample while not compromising on omics type of analysis (identification and quantification). Finally, compared with established fractionation/pre-concentration approaches, semi-preparative SFC is superior in terms of versatility, as it involved only volatile modifiers and salt additives facilitating any follow-up use such as qualitative or quantitate analysis or further purification down to the single lipid species level. Graphical Abstract.
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Affiliation(s)
- Harald Schoeny
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Strasse 38, 1090, Vienna, Austria
| | - Evelyn Rampler
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Strasse 38, 1090, Vienna, Austria
- Vienna Metabolomics Center (VIME), University of Vienna, Althanstrasse 14, 1090, Vienna, Austria
- Chemistry Meets Microbiology, Althanstrasse 14, 1090, Vienna, Austria
| | - Gerrit Hermann
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Strasse 38, 1090, Vienna, Austria
- ISOtopic Solutions, Waehringer Strasse 38, 1090, Vienna, Austria
| | - Ulrike Grienke
- Vienna Metabolomics Center (VIME), University of Vienna, Althanstrasse 14, 1090, Vienna, Austria
- Department of Pharmacognosy, Faculty of Life Science, University of Vienna, Althanstrasse 14, 1090, Vienna, Austria
| | - Judith M Rollinger
- Vienna Metabolomics Center (VIME), University of Vienna, Althanstrasse 14, 1090, Vienna, Austria
- Department of Pharmacognosy, Faculty of Life Science, University of Vienna, Althanstrasse 14, 1090, Vienna, Austria
| | - Gunda Koellensperger
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Strasse 38, 1090, Vienna, Austria.
- Vienna Metabolomics Center (VIME), University of Vienna, Althanstrasse 14, 1090, Vienna, Austria.
- Chemistry Meets Microbiology, Althanstrasse 14, 1090, Vienna, Austria.
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17
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Széliová D, Schoeny H, Knez Š, Troyer C, Coman C, Rampler E, Koellensperger G, Ahrends R, Hann S, Borth N, Zanghellini J, Ruckerbauer DE. Robust Analytical Methods for the Accurate Quantification of the Total Biomass Composition of Mammalian Cells. Methods Mol Biol 2020; 2088:119-160. [PMID: 31893373 DOI: 10.1007/978-1-0716-0159-4_7] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Biomass composition is an important input for genome-scale metabolic models and has a big impact on their predictive capabilities. However, researchers often rely on generic data for biomass composition, e.g. collected from similar organisms. This leads to inaccurate predictions, because biomass composition varies between different cell lines, conditions, and growth phases. In this chapter we present protocols for the determination of the biomass composition of Chinese Hamster Ovary (CHO) cells. These methods can easily be adapted to other types of mammalian cells. The protocols include the quantification of cell dry mass and of the main biomass components, namely protein, lipid, DNA, RNA, and carbohydrates. Cell dry mass is determined gravimetrically by weighing a defined number of cells. Amino acid composition and protein content are measured by gas chromatography mass spectrometry. Lipids are quantified by shotgun mass spectrometry, which provides quantities for the different lipid classes and also the distribution of fatty acids. RNA is purified and then quantified spectrophotometrically. The methods for DNA and carbohydrates are simple fluorometric and colorimetric assays adapted to a 96-well plate format. To ensure quantitative results, internal standards or spike-in controls are used in all methods, e.g. to account for possible matrix effects or loss of material. Finally, the last section provides a guide on how to convert the measured data into biomass equations, which can then be integrated into a metabolic model.
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Affiliation(s)
- Diana Széliová
- Austrian Centre of Industrial Biotechnology, Vienna, Austria
- University of Natural Resources and Life Sciences, Vienna, Austria
| | | | - Špela Knez
- University of Ljubljana, Ljubljana, Slovenia
| | - Christina Troyer
- University of Natural Resources and Life Sciences, Vienna, Austria
| | - Cristina Coman
- Leibniz Institut für Analytische Wissenschaften - e.V., Dortmund, Germany
| | | | | | - Robert Ahrends
- Leibniz Institut für Analytische Wissenschaften - e.V., Dortmund, Germany
| | - Stephen Hann
- Austrian Centre of Industrial Biotechnology, Vienna, Austria
- University of Natural Resources and Life Sciences, Vienna, Austria
| | - Nicole Borth
- Austrian Centre of Industrial Biotechnology, Vienna, Austria
- University of Natural Resources and Life Sciences, Vienna, Austria
| | - Jürgen Zanghellini
- University of Natural Resources and Life Sciences, Vienna, Austria
- Austrian Biotech University of Applied Sciences, Tulln, Austria
- Austrian Centre of Industrial Biotechnology, Vienna, Austria
| | - David E Ruckerbauer
- Austrian Centre of Industrial Biotechnology, Vienna, Austria.
- University of Natural Resources and Life Sciences, Vienna, Austria.
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18
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Schwaiger-Haber M, Hermann G, El Abiead Y, Rampler E, Wernisch S, Sas K, Pennathur S, Koellensperger G. Proposing a validation scheme for 13C metabolite tracer studies in high-resolution mass spectrometry. Anal Bioanal Chem 2019; 411:3103-3113. [PMID: 30972471 PMCID: PMC6526147 DOI: 10.1007/s00216-019-01773-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2018] [Revised: 02/25/2019] [Accepted: 03/08/2019] [Indexed: 12/31/2022]
Abstract
13C metabolite tracer and metabolic flux analyses require upfront experimental planning and validation tools. Here, we present a validation scheme including a comparison of different LC methods that allow for customization of analytical strategies for tracer studies with regard to the targeted metabolites. As the measurement of significant changes in labeling patterns depends on the spectral accuracy, we investigate this aspect comprehensively for high-resolution orbitrap mass spectrometry combined with reversed-phase chromatography, hydrophilic interaction liquid chromatography, or anion-exchange chromatography. Moreover, we propose a quality control protocol based on (1) a metabolite containing selenium to assess the instrument performance and on (2) in vivo synthesized isotopically enriched Pichia pastoris to validate the accuracy of carbon isotopologue distributions (CIDs), in this case considering each isotopologue of a targeted metabolite panel. Finally, validation involved a thorough assessment of procedural blanks and matrix interferences. We compared the analytical figures of merit regarding CID determination for over 40 metabolites between the three methods. Excellent precisions of less than 1% and trueness bias as small as 0.01-1% were found for the majority of compounds, whereas the CID determination of a small fraction was affected by contaminants. For most compounds, changes of labeling pattern as low as 1% could be measured. Graphical abstract.
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Affiliation(s)
- Michaela Schwaiger-Haber
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Str. 38, 1090, Vienna, Austria.,Division of Nephrology, Department of Internal Medicine, University of Michigan, 1000 Wall St., Ann Arbor, MI, 48105, USA
| | - Gerrit Hermann
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Str. 38, 1090, Vienna, Austria.,ISOtopic solutions, Waehringer Str. 38, 1090, Vienna, Austria
| | - Yasin El Abiead
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Str. 38, 1090, Vienna, Austria.,Vienna Metabolomics Center (VIME), University of Vienna, Althanstraße 14, 1090, Vienna, Austria.,Chemistry Meets Microbiology, Althanstraße 14, 1090, Vienna, Austria
| | - Evelyn Rampler
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Str. 38, 1090, Vienna, Austria.,Vienna Metabolomics Center (VIME), University of Vienna, Althanstraße 14, 1090, Vienna, Austria.,Chemistry Meets Microbiology, Althanstraße 14, 1090, Vienna, Austria
| | - Stefanie Wernisch
- Division of Nephrology, Department of Internal Medicine, University of Michigan, 1000 Wall St., Ann Arbor, MI, 48105, USA
| | - Kelli Sas
- Division of Nephrology, Department of Internal Medicine, University of Michigan, 1000 Wall St., Ann Arbor, MI, 48105, USA
| | - Subramaniam Pennathur
- Division of Nephrology, Department of Internal Medicine, University of Michigan, 1000 Wall St., Ann Arbor, MI, 48105, USA.,Department of Molecular and Integrative Physiology, University of Michigan, 1000 Wall St, Ann Arbor, MI, 48105, USA
| | - Gunda Koellensperger
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Str. 38, 1090, Vienna, Austria. .,Vienna Metabolomics Center (VIME), University of Vienna, Althanstraße 14, 1090, Vienna, Austria. .,Chemistry Meets Microbiology, Althanstraße 14, 1090, Vienna, Austria.
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19
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Schwaiger M, Schoeny H, El Abiead Y, Hermann G, Rampler E, Koellensperger G. Merging metabolomics and lipidomics into one analytical run. Analyst 2019; 144:220-229. [PMID: 30411762 DOI: 10.1039/c8an01219a] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
A novel integrated metabolomics/lipidomics workflow is introduced enabling high coverage of polar metabolites and non-polar lipids within one analytical run. Dual HILIC and RP chromatography were combined to high-resolution mass spectrometry. As a major advantage, only one data file per sample was obtained by fully automated simultaneous analysis of two extracts per sample. Hence, the unprecedented high coverage without compromise on analytical throughput was not only obtained by the orthogonality of the chromatographic separations, but also by the implementation of dedicated sample preparation procedures resulting in optimum extraction efficiency for both sub-omes. Thus, the method addressed completely hydrophilic sugars and organic acids next to water-insoluble triglycerides. As for the timing of the dual chromatography setup, HILIC and RP separation were performed consecutively. However, re-equilibration of the HILIC column during elution of RP compounds and vice versa reduced the overall analysis time by one third to 32 min. Application to the Standard Reference Material SRM 1950 - Metabolites in Frozen Human Plasma resulted in >100 metabolite and >380 lipid identifications based on accurate mass implementing fast polarity switching and acquiring data dependent MS2 spectra with the use of automated exclusion lists. Targeted quantification based on external calibrations and 13C labeled yeast internal standards was successfully accomplished for 59 metabolites. Moreover, the potential for lipid quantification was shown integrating non-endogenous lipids as internal standards. In human plasma, concentrations ranging over 4 orders of magnitude (low nM to high μM) were assessed.
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Affiliation(s)
- Michaela Schwaiger
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Str. 38, 1090 Vienna, Austria. and Vienna Metabolomics Center (VIME), University of Vienna, Althanstraße 14, 1090 Vienna, Austria and Chemistry Meets Microbiology, Althanstraße 14, 1090 Vienna, Austria
| | - Harald Schoeny
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Str. 38, 1090 Vienna, Austria. and Vienna Metabolomics Center (VIME), University of Vienna, Althanstraße 14, 1090 Vienna, Austria and Chemistry Meets Microbiology, Althanstraße 14, 1090 Vienna, Austria
| | - Yasin El Abiead
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Str. 38, 1090 Vienna, Austria. and Vienna Metabolomics Center (VIME), University of Vienna, Althanstraße 14, 1090 Vienna, Austria and Chemistry Meets Microbiology, Althanstraße 14, 1090 Vienna, Austria
| | - Gerrit Hermann
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Str. 38, 1090 Vienna, Austria. and ISOtopic solutions, Waehringerstr. 38, 1090 Vienna, Austria
| | - Evelyn Rampler
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Str. 38, 1090 Vienna, Austria. and Vienna Metabolomics Center (VIME), University of Vienna, Althanstraße 14, 1090 Vienna, Austria and Chemistry Meets Microbiology, Althanstraße 14, 1090 Vienna, Austria
| | - Gunda Koellensperger
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Str. 38, 1090 Vienna, Austria. and Vienna Metabolomics Center (VIME), University of Vienna, Althanstraße 14, 1090 Vienna, Austria and Chemistry Meets Microbiology, Althanstraße 14, 1090 Vienna, Austria
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20
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Ivanov MP, Ladurner R, Poser I, Beveridge R, Rampler E, Hudecz O, Novatchkova M, Hériché JK, Wutz G, van der Lelij P, Kreidl E, Hutchins JR, Axelsson-Ekker H, Ellenberg J, Hyman AA, Mechtler K, Peters JM. The replicative helicase MCM recruits cohesin acetyltransferase ESCO2 to mediate centromeric sister chromatid cohesion. EMBO J 2018; 37:e97150. [PMID: 29930102 PMCID: PMC6068434 DOI: 10.15252/embj.201797150] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2017] [Revised: 02/27/2018] [Accepted: 04/09/2018] [Indexed: 11/09/2022] Open
Abstract
Chromosome segregation depends on sister chromatid cohesion which is established by cohesin during DNA replication. Cohesive cohesin complexes become acetylated to prevent their precocious release by WAPL before cells have reached mitosis. To obtain insight into how DNA replication, cohesion establishment and cohesin acetylation are coordinated, we analysed the interaction partners of 55 human proteins implicated in these processes by mass spectrometry. This proteomic screen revealed that on chromatin the cohesin acetyltransferase ESCO2 associates with the MCM2-7 subcomplex of the replicative Cdc45-MCM-GINS helicase. The analysis of ESCO2 mutants defective in MCM binding indicates that these interactions are required for proper recruitment of ESCO2 to chromatin, cohesin acetylation during DNA replication, and centromeric cohesion. We propose that MCM binding enables ESCO2 to travel with replisomes to acetylate cohesive cohesin complexes in the vicinity of replication forks so that these complexes can be protected from precocious release by WAPL Our results also indicate that ESCO1 and ESCO2 have distinct functions in maintaining cohesion between chromosome arms and centromeres, respectively.
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Affiliation(s)
| | - Rene Ladurner
- Research Institute of Molecular Pathology, Vienna, Austria
| | - Ina Poser
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany
| | | | - Evelyn Rampler
- Research Institute of Molecular Pathology, Vienna, Austria
| | - Otto Hudecz
- Institute of Molecular Biotechnology, Vienna, Austria
| | | | | | - Gordana Wutz
- Research Institute of Molecular Pathology, Vienna, Austria
| | | | - Emanuel Kreidl
- Research Institute of Molecular Pathology, Vienna, Austria
| | | | | | - Jan Ellenberg
- European Molecular Biology Laboratory, Heidelberg, Germany
| | - Anthony A Hyman
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany
| | - Karl Mechtler
- Research Institute of Molecular Pathology, Vienna, Austria
- Institute of Molecular Biotechnology, Vienna, Austria
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21
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Rampler E, Schoeny H, Mitic BM, El Abiead Y, Schwaiger M, Koellensperger G. Simultaneous non-polar and polar lipid analysis by on-line combination of HILIC, RP and high resolution MS. Analyst 2018; 143:1250-1258. [PMID: 29431763 DOI: 10.1039/c7an01984j] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Given the chemical diversity of lipids and their biological relevance, suitable methods for lipid profiling and quantification are demanded to reduce sample complexity and analysis times. In this work, we present a novel on-line chromatographic method coupling hydrophilic interaction liquid chromatography (HILIC) dedicated to class-specific separation of polar lipid to reversed-phase chromatography (RP) for non-polar lipid analysis. More specifically, the void volume of the HILIC separation-consisting of non-polar lipids- is transferred to the orthogonal RP column enabling the on-line combination of HILIC with RP without any dilution in the second dimension. In this setup the orthogonal HILIC and RP separations were performed in parallel and the effluents of both columns were combined prior to high-resolution MS detection, offering the full separation space in one analytical run. Rapid separation for both polar and non-polar lipids within only 15 min (including reequilibration time) was enabled using sub-2 μm particles and UHPLC. The method proved to be robust with excellent retention time stability (RSDs < 1%) and LODs in the fmol to pmol (absolute on column) range even in the presence of complex biological matrix such as human plasma. The presented high-resolution LC-MS/MS method leads to class-specific separation of polar lipids and separation of non-polar lipids which is lost in conventional HILIC separations. HILIC-RP-MS is a promising tool for targeted and untargeted lipidomics workflows as three interesting features are combined namely (1) the decreased run time of state of the art shotgun MS methods, (2) the elevated linear dynamic range inherent to chromatographic separation and (3) increased level of identification by separation of polar and non-polar lipid classes.
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Affiliation(s)
- Evelyn Rampler
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Währingerstr. 38, 1090 Vienna, Austria.
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22
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Rampler E, Criscuolo A, Zeller M, El Abiead Y, Schoeny H, Hermann G, Sokol E, Cook K, Peake DA, Delanghe B, Koellensperger G. A Novel Lipidomics Workflow for Improved Human Plasma Identification and Quantification Using RPLC-MSn Methods and Isotope Dilution Strategies. Anal Chem 2018; 90:6494-6501. [PMID: 29708737 DOI: 10.1021/acs.analchem.7b05382] [Citation(s) in RCA: 58] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Lipid identification and quantification are essential objectives in comprehensive lipidomics studies challenged by the high number of lipids, their chemical diversity, and their dynamic range. In this work, we developed a tailored method for profiling and quantification combining (1) isotope dilution, (2) enhanced isomer separation by C30 fused-core reversed-phase material, and (3) parallel Orbitrap and ion trap detection by the Orbitrap Fusion Lumos Tribid mass spectrometer. The combination of parallelizable ion analysis without time loss together with different fragmentation techniques (HCD/CID) and an inclusion list led to higher quality in lipid identifications exemplified in human plasma and yeast samples. Moreover, we used lipidome isotope-labeling of yeast (LILY)-a fast and efficient in vivo labeling strategy in Pichia pastoris-to produce (nonradioactive) isotopically labeled eukaryotic lipid standards in yeast. We integrated the 13C lipids in the LC-MS workflow to enable relative and absolute compound-specific quantification in yeast and human plasma samples by isotope dilution. Label-free and compound-specific quantification was validated by comparison against a recent international interlaboratory study on human plasma SRM 1950. In this way, we were able to prove that LILY enabled quantification leads to accurate results, even in complex matrices. Excellent analytical figures of merit with enhanced trueness, precision and linearity over 4-5 orders of magnitude were observed applying compound-specific quantification with 13C-labeled lipids. We strongly believe that lipidomics studies will benefit from incorporating isotope dilution and LC-MSn strategies.
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Affiliation(s)
- Evelyn Rampler
- Department of Analytical Chemistry, Faculty of Chemistry , University of Vienna , Währingerstrasse 38 , 1090 Vienna , Austria.,Vienna Metabolomics Center (VIME) , University of Vienna , Althanstraße 14 , 1090 Vienna , Austria.,Chemistry Meets Microbiology , Althanstraße 14 , 1090 Vienna , Austria
| | - Angela Criscuolo
- Thermo Fisher Scientific (Bremen GmbH) , Hanna-Kunath-Str. 11 , 28199 Bremen , Germany.,Institute of Bioanalytical Chemistry, Faculty of Chemistry and Mineralogy , Universität Leipzig , Leipzig , Germany
| | - Martin Zeller
- Thermo Fisher Scientific (Bremen GmbH) , Hanna-Kunath-Str. 11 , 28199 Bremen , Germany
| | - Yasin El Abiead
- Department of Analytical Chemistry, Faculty of Chemistry , University of Vienna , Währingerstrasse 38 , 1090 Vienna , Austria
| | - Harald Schoeny
- Department of Analytical Chemistry, Faculty of Chemistry , University of Vienna , Währingerstrasse 38 , 1090 Vienna , Austria
| | - Gerrit Hermann
- Department of Analytical Chemistry, Faculty of Chemistry , University of Vienna , Währingerstrasse 38 , 1090 Vienna , Austria.,ISOtopic solutions , Währingerstrasse 38 , 1090 Vienna , Austria
| | - Elena Sokol
- Thermo Fisher Scientific , 1 Boundary Park , Hemel Hempstead HP2 7GE , United Kingdom
| | - Ken Cook
- Thermo Fisher Scientific , 1 Boundary Park , Hemel Hempstead HP2 7GE , United Kingdom
| | - David A Peake
- Thermo Fisher Scientific , 355 River Oaks Parkway , 95134 San Jose , California United States
| | - Bernard Delanghe
- Thermo Fisher Scientific (Bremen GmbH) , Hanna-Kunath-Str. 11 , 28199 Bremen , Germany
| | - Gunda Koellensperger
- Department of Analytical Chemistry, Faculty of Chemistry , University of Vienna , Währingerstrasse 38 , 1090 Vienna , Austria.,Vienna Metabolomics Center (VIME) , University of Vienna , Althanstraße 14 , 1090 Vienna , Austria.,Chemistry Meets Microbiology , Althanstraße 14 , 1090 Vienna , Austria
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23
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Orbán-Németh Z, Beveridge R, Hollenstein DM, Rampler E, Stranzl T, Hudecz O, Doblmann J, Schlögelhofer P, Mechtler K. Structural prediction of protein models using distance restraints derived from cross-linking mass spectrometry data. Nat Protoc 2018; 13:478-494. [PMID: 29419816 PMCID: PMC5999019 DOI: 10.1038/nprot.2017.146] [Citation(s) in RCA: 44] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
This protocol describes a workflow for creating structural models of proteins or protein complexes using distance restraints derived from cross-linking mass spectrometry experiments. The distance restraints are used (i) to adjust preliminary models that are calculated on the basis of a homologous template and primary sequence, and (ii) to select the model that is in best agreement with the experimental data. In the case of protein complexes, the cross-linking data are further used to dock the subunits to one another to generate models of the interacting proteins. Predicting models in such a manner has the potential to indicate multiple conformations and dynamic changes that occur in solution. This modeling protocol is compatible with many cross-linking workflows and uses open-source programs or programs that are free for academic users and do not require expertise in computational modeling. This protocol is an excellent additional application with which to use cross-linking results for building structural models of proteins. The established protocol is expected to take 6-12 d to complete, depending on the size of the proteins and the complexity of the cross-linking data.
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Affiliation(s)
- Zsuzsanna Orbán-Németh
- Mass Spectrometry and Protein Chemistry, Research Institute of Molecular Pathology (IMP), Vienna Biocenter (VBC), Vienna, Austria
- Mass Spectrometry and Protein Chemistry, Institute of Molecular Biotechnology of the Austrian Academy of Sciences (IMBA), Vienna Biocenter (VBC), Vienna, Austria
| | - Rebecca Beveridge
- Mass Spectrometry and Protein Chemistry, Research Institute of Molecular Pathology (IMP), Vienna Biocenter (VBC), Vienna, Austria
- Mass Spectrometry and Protein Chemistry, Institute of Molecular Biotechnology of the Austrian Academy of Sciences (IMBA), Vienna Biocenter (VBC), Vienna, Austria
| | - David M. Hollenstein
- Department of Biochemistry and Cell Biology, Max F. Perutz Laboratories, University of Vienna, Vienna, Austria
| | - Evelyn Rampler
- Mass Spectrometry and Protein Chemistry, Research Institute of Molecular Pathology (IMP), Vienna Biocenter (VBC), Vienna, Austria
- Mass Spectrometry and Protein Chemistry, Institute of Molecular Biotechnology of the Austrian Academy of Sciences (IMBA), Vienna Biocenter (VBC), Vienna, Austria
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria
| | - Thomas Stranzl
- Mass Spectrometry and Protein Chemistry, Research Institute of Molecular Pathology (IMP), Vienna Biocenter (VBC), Vienna, Austria
- Mass Spectrometry and Protein Chemistry, Institute of Molecular Biotechnology of the Austrian Academy of Sciences (IMBA), Vienna Biocenter (VBC), Vienna, Austria
| | - Otto Hudecz
- Mass Spectrometry and Protein Chemistry, Research Institute of Molecular Pathology (IMP), Vienna Biocenter (VBC), Vienna, Austria
- Mass Spectrometry and Protein Chemistry, Institute of Molecular Biotechnology of the Austrian Academy of Sciences (IMBA), Vienna Biocenter (VBC), Vienna, Austria
| | - Johannes Doblmann
- Mass Spectrometry and Protein Chemistry, Research Institute of Molecular Pathology (IMP), Vienna Biocenter (VBC), Vienna, Austria
- Mass Spectrometry and Protein Chemistry, Institute of Molecular Biotechnology of the Austrian Academy of Sciences (IMBA), Vienna Biocenter (VBC), Vienna, Austria
| | - Peter Schlögelhofer
- Department of Chromosome Biology, Max F. Perutz Laboratories, University of Vienna, Vienna, Austria
| | - Karl Mechtler
- Mass Spectrometry and Protein Chemistry, Research Institute of Molecular Pathology (IMP), Vienna Biocenter (VBC), Vienna, Austria
- Mass Spectrometry and Protein Chemistry, Institute of Molecular Biotechnology of the Austrian Academy of Sciences (IMBA), Vienna Biocenter (VBC), Vienna, Austria
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Schwaiger M, Rampler E, Hermann G, Miklos W, Berger W, Koellensperger G. Anion-Exchange Chromatography Coupled to High-Resolution Mass Spectrometry: A Powerful Tool for Merging Targeted and Non-targeted Metabolomics. Anal Chem 2017; 89:7667-7674. [PMID: 28581703 DOI: 10.1021/acs.analchem.7b01624] [Citation(s) in RCA: 68] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
In this work, simultaneous targeted metabolic profiling by isotope dilution and non-targeted fingerprinting is proposed for cancer cell studies. The novel streamlined metabolomics workflow was established using anion-exchange chromatography (IC) coupled to high-resolution mass spectrometry (MS). The separation time of strong anion-exchange (2 mm column, flow rate 380 μL min-1, injection volume 5 μL) could be decreased to 25 min for a target list comprising organic acids, sugars, sugar phosphates, and nucleotides. Internal standardization by fully 13C labeled Pichia pastoris extracts enabled absolute quantification of the primary metabolites in adherent cancer cell models. Limits of detection (LODs) in the low nanomolar range and excellent intermediate precisions of the isotopologue ratios (on average <5%, N = 5, over 40 h) were observed. As a result of internal standardization, linear dynamic ranges over 4 orders of magnitude (5 nM-50 μM, R2 > 0.99) were obtained. Experiments on drug-sensitive versus resistant SW480 cancer cells showed the feasibility of merging analytical tasks into one analytical run. Comparing fingerprinting with and without internal standard proved that the presence of the 13C labeled yeast extract required for absolute quantification was not detrimental to non-targeted data evaluation. Several interesting metabolites were discovered by accurate mass and comparing MS2 spectra (acquired in ddMS2 mode) with spectral libraries. Significant differences revealed distinct metabolic phenotypes of drug-sensitive and resistant SW480 cells.
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Affiliation(s)
- Michaela Schwaiger
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna , Waehringer Strasse 38, 1090 Vienna, Austria
| | - Evelyn Rampler
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna , Waehringer Strasse 38, 1090 Vienna, Austria
| | - Gerrit Hermann
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna , Waehringer Strasse 38, 1090 Vienna, Austria.,ISOtopic Solutions , Waehringerstrasse 38, 1090 Vienna, Austria
| | - Walter Miklos
- Institute of Cancer Research, Department of Internal Medicine I, Medical University of Vienna , Borschkegasse 8a, 1090 Vienna, Austria
| | - Walter Berger
- Institute of Cancer Research, Department of Internal Medicine I, Medical University of Vienna , Borschkegasse 8a, 1090 Vienna, Austria
| | - Gunda Koellensperger
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna , Waehringer Strasse 38, 1090 Vienna, Austria.,Vienna Metabolomics Center (VIME), University of Vienna , Althanstrasse 14, 1090 Vienna, Austria
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25
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Rampler E, Coman C, Hermann G, Sickmann A, Ahrends R, Koellensperger G. LILY-lipidome isotope labeling of yeast: in vivo synthesis of 13C labeled reference lipids for quantification by mass spectrometry. Analyst 2017; 142:1891-1899. [PMID: 28475182 DOI: 10.1039/c7an00107j] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Quantification is an essential task in comprehensive lipidomics studies challenged by the high number of lipids, their chemical diversity and their dynamic range of the lipidome. In this work, we introduce lipidome isotope labeling of yeast (LILY) in order to produce (non-radioactive) isotopically labeled eukaryotic lipid standards in yeast for normalization and quantification in mass spectrometric assays. More specifically, LILY is a fast and efficient in vivo labeling strategy in Pichia pastoris for the production of 13C labeled lipid library further paving the way to comprehensive compound-specific internal standardization in quantitative mass spectrometry based assays. More than 200 lipid species (from PA, PC, PE, PG, PI, PS, LysoGP, CL, DAG, TAG, DMPE, Cer, HexCer, IPC, MIPC) were obtained from yeast extracts with an excellent 13C enrichment >99.5%, as determined by complementary high resolution mass spectrometry based shotgun and high resolution LC-MS/MS analysis. In a first proof of principle study we tested the relative and absolute quantification capabilities of the 13C enriched lipids obtained by LILY using a parallel reaction monitoring based LC-MS approach. In relative quantification it could be shown that compound specific internal standardization was essential for the accuracy extending the linear dynamic range to four orders of magnitude. Excellent analytical figures of merit were observed for absolute quantification for a selected panel of 5 investigated glycerophospholipids (e.g. LOQs around 5 fmol absolute; typical concentrations ranging between 1 to 10 nmol per 108 yeast cell starting material; RSDs <10% (N = 4)).
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Affiliation(s)
- Evelyn Rampler
- Institute of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Währingerstr. 38, 1090 Vienna, Austria. and Vienna Metabolomics Center (VIME), University of Vienna, Althanstraße 14, 1090 Vienna, Austria and Chemistry Meets Microbiolgy, Althanstraße 14, 1090 Vienna, Austria
| | - Cristina Coman
- Leibniz-Institut für Analytische Wissenschaften - ISAS - e.V., Otto-Hahn-Str. 6b, 44227 Dortmund, Germany
| | - Gerrit Hermann
- Institute of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Währingerstr. 38, 1090 Vienna, Austria. and ISOtopic Solutions, Währingerstr. 38, 1090 Vienna, Austria
| | - Albert Sickmann
- Leibniz-Institut für Analytische Wissenschaften - ISAS - e.V., Otto-Hahn-Str. 6b, 44227 Dortmund, Germany and College of Physical Sciences, University of Aberdeen, Department of Chemistry, AB24 3UE Aberdeen, UK and Medizinische Fakultät, Medizinische Proteom-Center (MCP), Ruhr-Universität Bochum, 44801 Bochum, Germany
| | - Robert Ahrends
- Leibniz-Institut für Analytische Wissenschaften - ISAS - e.V., Otto-Hahn-Str. 6b, 44227 Dortmund, Germany
| | - Gunda Koellensperger
- Institute of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Währingerstr. 38, 1090 Vienna, Austria. and Vienna Metabolomics Center (VIME), University of Vienna, Althanstraße 14, 1090 Vienna, Austria and Chemistry Meets Microbiolgy, Althanstraße 14, 1090 Vienna, Austria
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Rampler E, Stranzl T, Orban-Nemeth Z, Hollenstein DM, Hudecz O, Schlögelhofer P, Mechtler K. Correction to “Comprehensive Cross-Linking Mass Spectrometry Reveals Parallel Orientation and Flexible Conformations of Plant HOP2–MND1”. J Proteome Res 2016; 15:1732. [DOI: 10.1021/acs.jproteome.6b00257] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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27
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Rampler E, Stranzl T, Orban-Nemeth Z, Hollenstein DM, Hudecz O, Schlögelhofer P, Mechtler K. Comprehensive Cross-Linking Mass Spectrometry Reveals Parallel Orientation and Flexible Conformations of Plant HOP2-MND1. J Proteome Res 2015; 14:5048-62. [PMID: 26535604 DOI: 10.1021/acs.jproteome.5b00903] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
The HOP2-MND1 heterodimer is essential for meiotic homologous recombination in plants and other eukaryotes and promotes the repair of DNA double-strand breaks. We investigated the conformational flexibility of HOP2-MND1, important for understanding the mechanistic details of the heterodimer, with chemical cross-linking in combination with mass spectrometry (XL-MS). The final XL-MS workflow encompassed the use of complementary cross-linkers, quenching, digestion, size exclusion enrichment, and HCD-based LC-MS/MS detection prior to data evaluation. We applied two different homobifunctional amine-reactive cross-linkers (DSS and BS(2)G) and one zero-length heterobifunctional cross-linker (EDC). Cross-linked peptides of four biological replicates were analyzed prior to 3D structure prediction by protein threading and protein-protein docking for cross-link-guided molecular modeling. Miniaturization of the size-exclusion enrichment step reduced the required starting material, led to a high amount of cross-linked peptides, and allowed the analysis of replicates. The major interaction site of HOP2-MND1 was identified in the central coiled-coil domains, and an open colinear parallel arrangement of HOP2 and MND1 within the complex was predicted. Moreover, flexibility of the C-terminal capping helices of both complex partners was observed, suggesting the coexistence of a closed complex conformation in solution.
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Affiliation(s)
- Evelyn Rampler
- Institute of Molecular Pathology , Dr.-Bohr-Gasse 7, 1030 Vienna, Austria.,Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna , Währingerstr. 42, 1090 Vienna, Austria
| | - Thomas Stranzl
- Institute of Molecular Pathology , Dr.-Bohr-Gasse 7, 1030 Vienna, Austria
| | | | | | - Otto Hudecz
- Institute of Molecular Biotechnology, Austrian Academy of Sciences , Dr.-Bohr-Gasse 3, 1030 Vienna, Austria
| | | | - Karl Mechtler
- Institute of Molecular Pathology , Dr.-Bohr-Gasse 7, 1030 Vienna, Austria.,Institute of Molecular Biotechnology, Austrian Academy of Sciences , Dr.-Bohr-Gasse 3, 1030 Vienna, Austria
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28
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Rampler E, Rose S, Wieder D, Ganner A, Dohnal I, Dalik T, Hann S, Koellensperger G. Monitoring the production process of selenized yeast by elemental speciation analysis. Metallomics 2012; 4:1176-84. [DOI: 10.1039/c2mt20138k] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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