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Results: 8
Microbial communities form rich extracellular metabolomes that foster metabolic interactions and promote drug tolerance.
Jason SL Yu, Clara Correia-Melo, Francisco Zorrilla, Lucia Herrera-Dominguez, Mary Y Wu, Johannes Hartl, Kate Campbell, Sonja Blasche, Marco Kreidl, Anna-Sophia Egger, Christoph B Messner, Vadim Demichev, Anja Freiwald, Michael Mülleder, Michael Howell, Judith Berman, Kiran R Patil, Mohammad Tauqeer Alam, Markus Ralser
Apr 01, 2022
Microbial communities form rich extracellular metabolomes that foster metabolic interactions and promote drug tolerance.
Jason SL Yu, Clara Correia-Melo, Francisco Zorrilla, Lucia Herrera-Dominguez, Mary Y Wu, Johannes Hartl, Kate Campbell, Sonja Blasche, Marco Kreidl, Anna-Sophia Egger, Christoph B Messner, Vadim Demichev, Anja Freiwald, Michael Mülleder, Michael Howell, Judith Berman, Kiran R Patil, Mohammad Tauqeer Alam, Markus Ralser
Apr 22, 2022
Microbial communities are composed of cells of varying metabolic capacity, and regularly include auxotrophs that lack essential metabolic pathways. Through analysis of auxotrophs for amino acid biosynthesis pathways in...
An Open Resource for Non-human Primate Imaging.
Michael P Milham, Lei Ai, Bonhwang Koo, Ting Xu, Céline Amiez, Fabien Balezeau, Mark G Baxter, Erwin LA Blezer, Thomas Brochier, Aihua Chen, Paula L Croxson, Christienne G Damatac, Stanislas Dehaene, Stefan Everling, Damian A Fair, Lazar Fleysher, Winrich Freiwald, Sean Froudist-Walsh, Timothy D Griffiths, Carole Guedj, Fadila Hadj-Bouziane, Suliann Ben Hamed, Noam Harel, Bassem Hiba, Bechir Jarraya, Benjamin Jung, Sabine Kastner, P Christiaan Klink, Sze Chai Kwok, Kevin N Laland, David A Leopold, Patrik Lindenfors, Rogier B Mars, Ravi S Menon, Adam Messinger, Martine Meunier, Kelvin Mok, John H Morrison, Jennifer Nacef, Jamie Nagy, Michael Ortiz Rios, Christopher I Petkov, Mark Pinsk, Colline Poirier, Emmanuel Procyk, Reza Rajimehr, Simon M Reader, Pieter R Roelfsema, David A Rudko, Matthew FS Rushworth, Brian E Russ, Jerome Sallet, Michael Christoph Schmid, Caspar M Schwiedrzik, Jakob Seidlitz, Julien Sein, Amir Shmuel, Elinor L Sullivan, Leslie Ungerleider, Alexander Thiele, Orlin S Todorov, Doris Tsao, Zheng Wang, Charles RE Wilson, Essa Yacoub, Frank Q Ye, Wilbert Zarco, Yong-di Zhou, Daniel S Margulies, Charles E Schroeder
Feb 06, 2019
Non-human primate neuroimaging is a rapidly growing area of research that promises to transform and scale translational and cross-species comparative neuroscience. Unfortunately, the technological and methodological advances of...
Ultra-High-Throughput Clinical Proteomics Reveals Classifiers of COVID-19 Infection.
Christoph B Messner, Vadim Demichev, Daniel Wendisch, Laura Michalick, Matthew White, Anja Freiwald, Kathrin Textoris-Taube, Spyros I Vernardis, Anna-Sophia Egger, Marco Kreidl, Daniela Ludwig, Christiane Kilian, Federica Agostini, Aleksej Zelezniak, Charlotte Thibeault, Moritz Pfeiffer, Stefan Hippenstiel, Andreas Hocke, Christof von Kalle, Archie Campbell, Caroline Hayward, David J Porteous, Riccardo E Marioni, Claudia Langenberg, Kathryn S Lilley, Wolfgang M Kuebler, Michael Mülleder, Christian Drosten, Norbert Suttorp, Martin Witzenrath, Florian Kurth, Leif Erik Sander, Markus Ralser
Jul 16, 2020
The COVID-19 pandemic is an unprecedented global challenge, and point-of-care diagnostic classifiers are urgently required. Here, we present a platform for ultra-high-throughput serum and plasma proteomics that builds on...
COVID-19 infection SWATH-MS antiviral immune response clinical classifiers high-throughput proteomics Mass Spectrometry Adult Aged Aged 80 and over Betacoronavirus Biomarkers Blood Proteins covid-19 Coronavirus Infections Female Humans Male Middle Aged Pandemics Pneumonia Viral Proteomics SARS-CoV-2 Young Adult
A time-resolved proteomic and prognostic map of COVID-19.
Vadim Demichev, Pinkus Tober-Lau, Oliver Lemke, Tatiana Nazarenko, Charlotte Thibeault, Harry Whitwell, Annika Röhl, Anja Freiwald, Lukasz Szyrwiel, Daniela Ludwig, Clara Correia-Melo, Simran Kaur Aulakh, Elisa T Helbig, Paula Stubbemann, Lena J Lippert, Nana-Maria Grüning, Oleg Blyuss, Spyros Vernardis, Matthew White, Christoph B Messner, Michael Joannidis, Thomas Sonnweber, Sebastian J Klein, Alex Pizzini, Yvonne Wohlfarter, Sabina Sahanic, Richard Hilbe, Benedikt Schaefer, Sonja Wagner, Mirja Mittermaier, Felix Machleidt, Carmen Garcia, Christoph Ruwwe-Glösenkamp, Tilman Lingscheid, Laure Bosquillon de Jarcy, Miriam S Stegemann, Moritz Pfeiffer, Linda Jürgens, Sophy Denker, Daniel Zickler, Philipp Enghard, Aleksej Zelezniak, Archie Campbell, Caroline Hayward, David J Porteous, Riccardo E Marioni, Alexander Uhrig, Holger Müller-Redetzky, Heinz Zoller, Judith Löffler-Ragg, Markus A Keller, Ivan Tancevski, John F Timms, Alexey Zaikin, Stefan Hippenstiel, Michael Ramharter, Martin Witzenrath, Norbert Suttorp, Kathryn Lilley, Michael Mülleder, Leif Erik Sander, Markus Ralser, Florian Kurth
Jul 28, 2021
COVID-19 is highly variable in its clinical presentation, ranging from asymptomatic infection to severe organ damage and death. We characterized the time-dependent progression of the disease in 139 COVID-19 inpatients by...
Proteomics Biomarkers physiological parameters Machine Learning disease prognosis clinical disease progression covid-19 patient trajectories longitudinal profiling
Published by: Cell systems
A proteomic survival predictor for COVID-19 patients in intensive care.
Vadim Demichev, Pinkus Tober-Lau, Tatiana Nazarenko, Oliver Lemke, Simran Kaur Aulakh, Harry J Whitwell, Annika Röhl, Anja Freiwald, Mirja Mittermaier, Lukasz Szyrwiel, Daniela Ludwig, Clara Correia-Melo, Lena J Lippert, Elisa T Helbig, Paula Stubbemann, Nadine Olk, Charlotte Thibeault, Nana-Maria Grüning, Oleg Blyuss, Spyros Vernardis, Matthew White, Christoph B Messner, Michael Joannidis, Thomas Sonnweber, Sebastian J Klein, Alex Pizzini, Yvonne Wohlfarter, Sabina Sahanic, Richard Hilbe, Benedikt Schaefer, Sonja Wagner, Felix Machleidt, Carmen Garcia, Christoph Ruwwe-Glösenkamp, Tilman Lingscheid, Laure Bosquillon de Jarcy, Miriam S Stegemann, Moritz Pfeiffer, Linda Jürgens, Sophy Denker, Daniel Zickler, Claudia Spies, Andreas Edel, Nils B Müller, Philipp Enghard, Aleksej Zelezniak, Rosa Bellmann-Weiler, Günter Weiss, Archie Campbell, Caroline Hayward, David J Porteous, Riccardo E Marioni, Alexander Uhrig, Heinz Zoller, Judith Löffler-Ragg, Markus A Keller, Ivan Tancevski, John F Timms, Alexey Zaikin, Stefan Hippenstiel, Michael Ramharter, Holger Müller-Redetzky, Martin Witzenrath, Norbert Suttorp, Kathryn Lilley, Michael Mülleder, Leif Erik Sander, Florian Kurth, Markus Ralser
Mar 24, 2023
Global healthcare systems are challenged by the COVID-19 pandemic. There is a need to optimize allocation of treatment and resources in intensive care, as clinically established risk assessments such as SOFA and APACHE II scores...
Published by: PLOS digital health
A proteomic survival predictor for COVID-19 patients in intensive care.
Vadim Demichev, Pinkus Tober-Lau, Tatiana Nazarenko, Oliver Lemke, Simran Kaur Aulakh, Harry J Whitwell, Annika Röhl, Anja Freiwald, Mirja Mittermaier, Lukasz Szyrwiel, Daniela Ludwig, Clara Correia-Melo, Lena J Lippert, Elisa T Helbig, Paula Stubbemann, Nadine Olk, Charlotte Thibeault, Nana-Maria Grüning, Oleg Blyuss, Spyros Vernardis, Matthew White, Christoph B Messner, Michael Joannidis, Thomas Sonnweber, Sebastian J Klein, Alex Pizzini, Yvonne Wohlfarter, Sabina Sahanic, Richard Hilbe, Benedikt Schaefer, Sonja Wagner, Felix Machleidt, Carmen Garcia, Christoph Ruwwe-Glösenkamp, Tilman Lingscheid, Laure Bosquillon de Jarcy, Miriam S Stegemann, Moritz Pfeiffer, Linda Jürgens, Sophy Denker, Daniel Zickler, Claudia Spies, Andreas Edel, Nils B Müller, Philipp Enghard, Aleksej Zelezniak, Rosa Bellmann-Weiler, Günter Weiss, Archie Campbell, Caroline Hayward, David J Porteous, Riccardo E Marioni, Alexander Uhrig, Heinz Zoller, Judith Löffler-Ragg, Markus A Keller, Ivan Tancevski, John F Timms, Alexey Zaikin, Stefan Hippenstiel, Michael Ramharter, Holger Müller-Redetzky, Martin Witzenrath, Norbert Suttorp, Kathryn Lilley, Michael Mülleder, Leif Erik Sander, PA-COVID-19 Study group, Florian Kurth, Markus Ralser
Jan 28, 2022
Global healthcare systems are challenged by the COVID-19 pandemic. There is a need to optimize allocation of treatment and resources in intensive care, as clinically established risk assessments such as SOFA and APACHE II scores...
A time-resolved proteomic and prognostic map of COVID-19.
Vadim Demichev, Pinkus Tober-Lau, Oliver Lemke, Tatiana Nazarenko, Charlotte Thibeault, Harry Whitwell, Annika Röhl, Anja Freiwald, Lukasz Szyrwiel, Daniela Ludwig, Clara Correia-Melo, Simran Kaur Aulakh, Elisa T Helbig, Paula Stubbemann, Lena J Lippert, Nana-Maria Grüning, Oleg Blyuss, Spyros Vernardis, Matthew White, Christoph B Messner, Michael Joannidis, Thomas Sonnweber, Sebastian J Klein, Alex Pizzini, Yvonne Wohlfarter, Sabina Sahanic, Richard Hilbe, Benedikt Schaefer, Sonja Wagner, Mirja Mittermaier, Felix Machleidt, Carmen Garcia, Christoph Ruwwe-Glösenkamp, Tilman Lingscheid, Laure Bosquillon de Jarcy, Miriam S Stegemann, Moritz Pfeiffer, Linda Jürgens, Sophy Denker, Daniel Zickler, Philipp Enghard, Aleksej Zelezniak, Archie Campbell, Caroline Hayward, David J Porteous, Riccardo E Marioni, Alexander Uhrig, Holger Müller-Redetzky, Heinz Zoller, Judith Löffler-Ragg, Markus A Keller, Ivan Tancevski, John F Timms, Alexey Zaikin, Stefan Hippenstiel, Michael Ramharter, Martin Witzenrath, Norbert Suttorp, Kathryn Lilley, Michael Mülleder, Leif Erik Sander, PA-COVID-19 Study group, Markus Ralser, Florian Kurth
Jul 30, 2021
COVID-19 is highly variable in its clinical presentation, ranging from asymptomatic infection to severe organ damage and death. We characterized the time-dependent progression of the disease in 139 COVID-19 inpatients by...
covid-19 Biomarkers clinical disease progression disease prognosis longitudinal profiling Machine Learning patient trajectories physiological parameters Proteomics Age Factors Biomarkers Blood Cell Count Blood Gas Analysis covid-19 Disease Progression Enzyme Activation Humans Inflammation Machine Learning Prognosis Proteome Proteomics SARS-CoV-2