Felina Hildebrand

ORCID: 0000-0002-6946-6744
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About
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Research Areas
  • Metabolomics and Mass Spectrometry Studies
  • Mass Spectrometry Techniques and Applications
  • Gut microbiota and health
  • Analytical Chemistry and Chromatography
  • Genomics and Phylogenetic Studies
  • Advanced Proteomics Techniques and Applications
  • Diet and metabolism studies

University of Vienna
2020-2025

Faculty (United Kingdom)
2021

Simone Zuffa Robin Schmid Anelize Bauermeister Paulo Wender Portal Gomes Andrés Mauricio Caraballo‐Rodríguez and 95 more Yasin El Abiead Allegra T. Aron Emily C. Gentry Jasmine Zemlin Michael J. Meehan Nicole E. Avalon Robert H. Cichewicz Ekaterina Buzun Marvic Carrillo Terrazas Chia-Yun Hsu Renee E. Oles Adriana Vasquez Ayala Jiaqi Zhao Hiutung Chu Mirte C. M. Kuijpers Sara L. Jackrel Fidele Tugizimana Lerato Nephali Ian A. Dubery Ntakadzeni E. Madala Eduarda Antunes Moreira Letícia V. Costa‐Lotufo Norberto Peporine Lopes Paula Rezende‐Teixeira Paula C. Jimenez Bipin Rimal Andrew D. Patterson Matthew F. Traxler Rita de Cássia Pessotti Daniel Alvarado-Villalobos Giselle Tamayo‐Castillo Priscila Chaverrí Efraín Escudero‐Leyva Luis-Manuel Quirós-Guerrero Alexandre Bory Juliette Joubert Adriano Rutz Jean‐Luc Wolfender Pierre‐Marie Allard Andreas Sichert Sammy Pontrelli Benjamin Pullman Nuno Bandeira William H. Gerwick Katia Gindro Josep Massana‐Codina Berenike Wagner Karl Forchhammer Daniel Petras Nicole Aiosa Neha Garg Manuel Liebeke Patric Bourceau Kyo Bin Kang Henna Gadhavi Luiz Pedro S. de Carvalho Mariana Silva dos Santos Alicia Isabel Pérez‐Lorente Carlos Molina‐Santiago Diego Romero Raimo Franke Mark Brönstrup Arturo Vera Ponce de León Phillip B. Pope Sabina Leanti La Rosa Giorgia La Barbera Henrik M. Roager Martin Frederik Laursen Fabian Hammerle Bianka Siewert Ursula Peintner Cuauhtémoc Licona‐Cassani Lorena Rodríguez-Orduña Evelyn Rampler Felina Hildebrand Gunda Koellensperger Harald Schoeny Katharina Hohenwallner Lisa Panzenboeck Rachel Gregor Ellis C. O’Neill Eve Tallulah Roxborough Jane Odoi Nicole J. Bale Su Ding Jaap S. Sinninghe Damsté Xue Li Guan Jerry Cui Kou‐San Ju Denise Brentan Silva Fernanda Motta Ribeiro Silva Gilvan Ferreira da Silva Héctor H. F. Koolen Carlismari O. Grundmann Jason A. Clement

Abstract microbeMASST, a taxonomically informed mass spectrometry (MS) search tool, tackles limited microbial metabolite annotation in untargeted metabolomics experiments. Leveraging curated database of >60,000 monocultures, users can known and unknown MS/MS spectra link them to their respective producers via fragmentation patterns. Identification microbe-derived metabolites relative without priori knowledge will vastly enhance the understanding microorganisms’ role ecology human health.

10.1038/s41564-023-01575-9 article EN cc-by Nature Microbiology 2024-02-05

In this study, we developed a customized high-resolution mass spectrometry metabolomics workflow integrating the dual sugar test employing lactulose and mannitol as probes for intestinal permeability assessment with untargeted screening of small molecules. Urine samples were collected from patients major depression healthy controls part clinical study at psychiatric department. Using injection/dual chromatography setup, quantified by hydrophilic interaction liquid (HILIC) in targeted assay,...

10.1007/s00216-025-05790-7 article EN cc-by Analytical and Bioanalytical Chemistry 2025-02-27

A fully automated novel workflow for lipidomics based on flow injection, followed by reversed phase liquid chromatography–high-resolution mass spectrometry in combination with LILY as internal standard, enabling accurate quantification<italic>via</italic>RP-LC.

10.1039/d0an02443k article EN cc-by-nc The Analyst 2021-01-01
Simone Zuffa Robin Schmid Anelize Bauermeister Paulo Wender Portal Gomes Andrés Mauricio Caraballo‐Rodríguez and 95 more Yasin El Abiead Allegra T. Aron Emily C. Gentry Jasmine Zemlin Michael J. Meehan Nicole E. Avalon Robert H. Cichewicz Ekaterina Buzun Marvic Carrillo Terrazas Chia-Yun Hsu Renee E. Oles Adriana Vasquez Ayala Jiaqi Zhao Hiutung Chu Mirte C. M. Kuijpers Sara L. Jackrel Fidele Tugizimana Lerato Nephali Ian A. Dubery Ntakadzeni E. Madala Eduarda Antunes Moreira Letícia V. Costa‐Lotufo Norberto Peporine Lopes Paula Rezende‐Teixeira Paula C. Jimenez Bipin Rimal Andrew D. Patterson Matthew F. Traxler Rita de Cássia Pessotti Daniel Alvarado-Villalobos Giselle Tamayo‐Castillo Priscila Chaverrí Efraín Escudero‐Leyva Luis-Manuel Quirós-Guerrero Alexandre Bory Juliette Joubert Adriano Rutz Jean‐Luc Wolfender Pierre‐Marie Allard Andreas Sichert Sammy Pontrelli Benjamin Pullman Nuno Bandeira William H. Gerwick Katia Gindro Josep Massana‐Codina Berenike Wagner Karl Forchhammer Daniel Petras Nicole Aiosa Neha Garg Manuel Liebeke Patric Bourceau Kyo Bin Kang Henna Gadhavi Luiz Pedro S. de Carvalho Mariana Silva dos Santos Alicia Isabel Pérez‐Lorente Carlos Molina‐Santiago Diego Romero Raimo Franke Mark Brönstrup Arturo Vera-Ponce León Phillip B. Pope Sabina Leanti La Rosa Giorgia La Barbera Henrik M. Roager Martin Frederik Laursen Fabian Hammerle Bianka Siewert Ursula Peintner Cuauhtémoc Licona‐Cassani Lorena Rodriguez-Orduña Evelyn Rampler Felina Hildebrand Gunda Koellensperger Harald Schoeny Katharina Hohenwallner Lisa Panzenboeck Rachel Gregor Ellis C. O’Neill Eve Tallulah Roxborough Jane Odoi Nicole J. Bale Su Ding Jaap S. Sinninghe Damsté Xue Li Guan Jerry Cui Kou‐San Ju Denise Brentan Silva Fernanda Motta Ribeiro Silva Gilvan Ferreira da Silva Héctor H. F. Koolen Carlismari O. Grundmann Jason A. Clement

Abstract MicrobeMASST, a taxonomically-informed mass spectrometry (MS) search tool, tackles limited microbial metabolite annotation in untargeted metabolomics experiments. Leveraging curated database of &gt;60,000 monocultures, users can known and unknown MS/MS spectra link them to their respective producers via fragmentation patterns. Identification microbial-derived metabolites relative producers, without priori knowledge, will vastly enhance the understanding microorganisms’ role ecology...

10.1101/2023.07.20.549584 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2023-07-20

Ion mobility-mass spectrometry (IM-MS) offers benefits for lipidomics by obtaining IM-derived collision cross sections (CCS), a conditional physicochemical parameter of an ion which can enhance lipid identification. While drift tube (DT) IM-MS retains direct link to the primary experimental method derive CCS values, other IM technologies rely solely on external calibration, posing challenges due dissimilar chemical properties between lipids and calibrants. To address this, we introduce...

10.26434/chemrxiv-2024-pjwm4 preprint EN cc-by-nc-nd 2024-03-26

Ion mobility–mass spectrometry (IM-MS) offers benefits for lipidomics by obtaining IM-derived collision cross sections (CCS), a conditional property of an ion that can enhance lipid identification. While drift tube (DT) IM-MS retains direct link to the primary experimental method derive CCS values, other IM technologies rely solely on external calibration, posing challenges due dissimilar chemical properties between lipids and calibrants. To address this, we introduce MobiLipid, novel tool...

10.1021/acs.analchem.4c01253 article EN cc-by Analytical Chemistry 2024-05-02
Simone Zuffa Robin Schmid Anelize Bauermeister Paulo Wender Portal Gomes Andrés Mauricio Caraballo‐Rodríguez and 95 more Yasin El Abiead Allegra T. Aron Emily C. Gentry Jasmine Zemlin Michael J. Meehan Nicole E. Avalon Robert H. Cichewicz Ekaterina Buzun Marvic Carrillo Terrazas Chia-Yun Hsu Renee E. Oles Adriana Vasquez Ayala Jiaqi Zhao Hiutung Chu Mirte C. M. Kuijpers Sara L Jackrel Fidele Tugizimana Lerato Nephali Ian A. Dubery Ntakadzeni E. Madala Eduarda Antunes Moreira Leticia Veras Costa-Lotufo Norberto Peporine Lopes Paula Rezende-Teixeira Paula C. Jimenez Bipin Rimal Andrew D. Patterson Matthew F. Traxler Rita de Cássia Pessotti Daniel Alvarado-Villalobos Giselle Tamayo‐Castillo Priscila Chaverri Efraín Escudero‐Leyva Luis-Manuel Quirós-Guerrero Alexandre Bory Juliette Joubert Adriano Rutz Jean-Luc Wolfender Pierre‐Marie Allard Andreas Sichert Sammy Pontrelli Benjamin Pullman Nuno Bandeira William H. Gerwick Katia Gindro Josep Massana‐Codina Berenike Wagner Karl Forchhammer Daniel Petras Nicole Aiosa Neha Garg Manuel Liebeke Patric Bourceau Kyo Bin Kang Henna Gadhavi Luiz Pedro S. de Carvalho Mariana Silva dos Santos Alicia Isabel Pérez‐Lorente Carlos Molina‐Santiago Diego Romero Raimo Franke Mark Brönstrup Arturo Vera-Ponce León Phillip B. Pope Sabina Leanti La Rosa Giorgia La Barbera Henrik M. Roager Martin Frederik Laursen Fabian Hammerle Bianka Siewert Ursula Peintner Cuauhtémoc Licona-Cassani Lorena Rodríguez-Orduña Evelyn Rampler Felina Hildebrand Gunda Koellensperger Harald Schoeny Katharina Hohenwallner Lisa Panzenboeck Rachel Gregor Ellis Charles O'Neill Eve Tallulah Roxborough Jane Odoi Nicole J. Bale Su Ding Jaap S. Sinninghe Damsté Xue Li Guan Jerry Cui Kou‐San Ju Denise Brentan Silva Fernanda Motta Ribeiro Silva Gilvan Ferreira da Silva Hector H F Koolen Carlismari O. Grundmann Jason A. Clement

Abstract MicrobeMASST, a taxonomically-informed mass spectrometry (MS) search tool, tackles limited microbial metabolite annotation in untargeted metabolomics experiments. Leveraging curated database of &gt;60,000 monocultures, users can known and unknown MS/MS spectra link them to their respective producers via fragmentation patterns. Identification microbial-derived metabolites relative producers, without priori knowledge, will vastly enhance the understanding microorganisms' role ecology...

10.21203/rs.3.rs-3189768/v1 preprint EN cc-by Research Square (Research Square) 2023-08-03

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 combined in-depth characterization of the lipidome achieved via reversed phase LC-HRMS with absolute quantification as obtained number lipid species-specific- and/or retention time (RT) matched/class-specific calibrants. 13 C labelled yeast (LILY) provided cost efficient, large panel internal standards covering...

10.1101/2020.11.04.367987 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2020-11-05
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