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16 results on '"Mülleder, Michael"'

1. The proteomic landscape of genome-wide genetic perturbations

Author

Messner, Christoph B., primary, Demichev, Vadim, additional, Muenzner, Julia, additional, Aulakh, Simran K., additional, Barthel, Natalie, additional, Röhl, Annika, additional, Herrera-Domínguez, Lucía, additional, Egger, Anna-Sophia, additional, Kamrad, Stephan, additional, Hou, Jing, additional, Tan, Guihong, additional, Lemke, Oliver, additional, Calvani, Enrica, additional, Szyrwiel, Lukasz, additional, Mülleder, Michael, additional, Lilley, Kathryn S., additional, Boone, Charles, additional, Kustatscher, Georg, additional, and Ralser, Markus, additional

Published
2023
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2. Cell-cell metabolite exchange creates a pro-survival metabolic environment that extends lifespan

Author

Correia-Melo, Clara, primary, Kamrad, Stephan, additional, Tengölics, Roland, additional, Messner, Christoph B., additional, Trebulle, Pauline, additional, Townsend, StJohn, additional, Jayasree Varma, Sreejith, additional, Freiwald, Anja, additional, Heineike, Benjamin M., additional, Campbell, Kate, additional, Herrera-Dominguez, Lucía, additional, Kaur Aulakh, Simran, additional, Szyrwiel, Lukasz, additional, Yu, Jason S.L., additional, Zelezniak, Aleksej, additional, Demichev, Vadim, additional, Mülleder, Michael, additional, Papp, Balázs, additional, Alam, Mohammad Tauqeer, additional, and Ralser, Markus, additional

Published
2023
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3. A multiplex protein panel assay for severity prediction and outcome prognosis in patients with COVID-19: An observational multi-cohort study

Author

Wang, Ziyue, primary, Cryar, Adam, additional, Lemke, Oliver, additional, Tober-Lau, Pinkus, additional, Ludwig, Daniela, additional, Helbig, Elisa Theresa, additional, Hippenstiel, Stefan, additional, Sander, Leif-Erik, additional, Blake, Daniel, additional, Lane, Catherine S., additional, Sayers, Rebekah L., additional, Mueller, Christoph, additional, Zeiser, Johannes, additional, Townsend, StJohn, additional, Demichev, Vadim, additional, Mülleder, Michael, additional, Kurth, Florian, additional, Sirka, Ernestas, additional, Hartl, Johannes, additional, and Ralser, Markus, additional

Published
2022
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4. Complement activation induces excessive T cell cytotoxicity in severe COVID-19

Author

Georg, Philipp, primary, Astaburuaga-García, Rosario, additional, Bonaguro, Lorenzo, additional, Brumhard, Sophia, additional, Michalick, Laura, additional, Lippert, Lena J., additional, Kostevc, Tomislav, additional, Gäbel, Christiane, additional, Schneider, Maria, additional, Streitz, Mathias, additional, Demichev, Vadim, additional, Gemünd, Ioanna, additional, Barone, Matthias, additional, Tober-Lau, Pinkus, additional, Helbig, Elisa T., additional, Hillus, David, additional, Petrov, Lev, additional, Stein, Julia, additional, Dey, Hannah-Philine, additional, Paclik, Daniela, additional, Iwert, Christina, additional, Mülleder, Michael, additional, Aulakh, Simran Kaur, additional, Djudjaj, Sonja, additional, Bülow, Roman D., additional, Mei, Henrik E., additional, Schulz, Axel R., additional, Thiel, Andreas, additional, Hippenstiel, Stefan, additional, Saliba, Antoine-Emmanuel, additional, Eils, Roland, additional, Lehmann, Irina, additional, Mall, Marcus A., additional, Stricker, Sebastian, additional, Röhmel, Jobst, additional, Corman, Victor M., additional, Beule, Dieter, additional, Wyler, Emanuel, additional, Landthaler, Markus, additional, Obermayer, Benedikt, additional, von Stillfried, Saskia, additional, Boor, Peter, additional, Demir, Münevver, additional, Wesselmann, Hans, additional, Suttorp, Norbert, additional, Uhrig, Alexander, additional, Müller-Redetzky, Holger, additional, Nattermann, Jacob, additional, Kuebler, Wolfgang M., additional, Meisel, Christian, additional, Ralser, Markus, additional, Schultze, Joachim L., additional, Aschenbrenner, Anna C., additional, Thibeault, Charlotte, additional, Kurth, Florian, additional, Sander, Leif E., additional, Blüthgen, Nils, additional, and Sawitzki, Birgit, additional

Published
2022
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5. A time-resolved proteomic and prognostic map of COVID-19

Author

Demichev, Vadim, Tober-Lau, Pinkus, Lemke, Oliver, Nazarenko, Tatiana, Thibeault, Charlotte, Whitwell, Harry, Röhl, Annika, Freiwald, Anja, Szyrwiel, Lukasz, Ludwig, Daniela, Correia-Melo, Clara, Aulakh, Simran Kaur, Helbig, Elisa T, Stubbemann, Paula, Lippert, Lena J, Grüning, Nana-Maria, Blyuss, Oleg, Vernardis, Spyros, White, Matthew, Messner, Christoph B, Joannidis, Michael, Sonnweber, Thomas, Klein, Sebastian J, Pizzini, Alex, Wohlfarter, Yvonne, Sahanic, Sabina, Hilbe, Richard, Schaefer, Benedikt, Wagner, Sonja, Mittermaier, Mirja, Machleidt, Felix, Garcia, Carmen, Ruwwe-Glösenkamp, Christoph, Lingscheid, Tilman, Bosquillon De Jarcy, Laure, Stegemann, Miriam S, Pfeiffer, Moritz, Jürgens, Linda, Denker, Sophy, Zickler, Daniel, Enghard, Philipp, Zelezniak, Aleksej, Campbell, Archie, Hayward, Caroline, Porteous, David J, Marioni, Riccardo E, Uhrig, Alexander, Müller-Redetzky, Holger, Zoller, Heinz, Löffler-Ragg, Judith, Keller, Markus A, Tancevski, Ivan, Timms, John F, Zaikin, Alexey, Hippenstiel, Stefan, Ramharter, Michael, Witzenrath, Martin, Suttorp, Norbert, Lilley, Kathryn, Mülleder, Michael, Sander, Leif Erik, PA-COVID-19 Study Group, Ralser, Markus, Kurth, Florian, Lilley, Kathryn [0000-0003-0594-6543], and Apollo - University of Cambridge Repository

Subjects
Chemical Biology & High Throughput, Inflammation, Proteomics, Proteome, clinical disease progression, SARS-CoV-2, Age Factors, COVID-19, biomarkers, Prognosis, disease prognosis, Blood Cell Count, Enzyme Activation, Machine Learning, Metabolism, Ecology,Evolution & Ethology, physiological parameters, Disease Progression, Humans, Synthetic Biology, Blood Gas Analysis, longitudinal profiling, patient trajectories, Computational & Systems Biology
Abstract

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 measuring 86 accredited diagnostic parameters, such as blood cell counts and enzyme activities, as well as untargeted plasma proteomes at 687 sampling points. We report an initial spike in a systemic inflammatory response, which is gradually alleviated and followed by a protein signature indicative of tissue repair, metabolic reconstitution, and immunomodulation. We identify prognostic marker signatures for devising risk-adapted treatment strategies and use machine learning to classify therapeutic needs. We show that the machine learning models based on the proteome are transferable to an independent cohort. Our study presents a map linking routinely used clinical diagnostic parameters to plasma proteomes and their dynamics in an infectious disease.

Published
2021

6. A time-resolved proteomic and prognostic map of COVID-19

Author

Demichev, Vadim, primary, Tober-Lau, Pinkus, additional, Lemke, Oliver, additional, Nazarenko, Tatiana, additional, Thibeault, Charlotte, additional, Whitwell, Harry, additional, Röhl, Annika, additional, Freiwald, Anja, additional, Szyrwiel, Lukasz, additional, Ludwig, Daniela, additional, Correia-Melo, Clara, additional, Aulakh, Simran Kaur, additional, Helbig, Elisa T., additional, Stubbemann, Paula, additional, Lippert, Lena J., additional, Grüning, Nana-Maria, additional, Blyuss, Oleg, additional, Vernardis, Spyros, additional, White, Matthew, additional, Messner, Christoph B., additional, Joannidis, Michael, additional, Sonnweber, Thomas, additional, Klein, Sebastian J., additional, Pizzini, Alex, additional, Wohlfarter, Yvonne, additional, Sahanic, Sabina, additional, Hilbe, Richard, additional, Schaefer, Benedikt, additional, Wagner, Sonja, additional, Mittermaier, Mirja, additional, Machleidt, Felix, additional, Garcia, Carmen, additional, Ruwwe-Glösenkamp, Christoph, additional, Lingscheid, Tilman, additional, Bosquillon de Jarcy, Laure, additional, Stegemann, Miriam S., additional, Pfeiffer, Moritz, additional, Jürgens, Linda, additional, Denker, Sophy, additional, Zickler, Daniel, additional, Enghard, Philipp, additional, Zelezniak, Aleksej, additional, Campbell, Archie, additional, Hayward, Caroline, additional, Porteous, David J., additional, Marioni, Riccardo E., additional, Uhrig, Alexander, additional, Müller-Redetzky, Holger, additional, Zoller, Heinz, additional, Löffler-Ragg, Judith, additional, Keller, Markus A., additional, Tancevski, Ivan, additional, Timms, John F., additional, Zaikin, Alexey, additional, Hippenstiel, Stefan, additional, Ramharter, Michael, additional, Witzenrath, Martin, additional, Suttorp, Norbert, additional, Lilley, Kathryn, additional, Mülleder, Michael, additional, Sander, Leif Erik, additional, Ralser, Markus, additional, Kurth, Florian, additional, Kleinschmidt, Malte, additional, Heim, Katrin M., additional, Millet, Belén, additional, Meyer-Arndt, Lil, additional, Hübner, Ralf H., additional, Andermann, Tim, additional, Doehn, Jan M., additional, Opitz, Bastian, additional, Sawitzki, Birgit, additional, Grund, Daniel, additional, Radünzel, Peter, additional, Schürmann, Mariana, additional, Zoller, Thomas, additional, Alius, Florian, additional, Knape, Philipp, additional, Breitbart, Astrid, additional, Li, Yaosi, additional, Bremer, Felix, additional, Pergantis, Panagiotis, additional, Schürmann, Dirk, additional, Temmesfeld-Wollbrück, Bettina, additional, Wendisch, Daniel, additional, Brumhard, Sophia, additional, Haenel, Sascha S., additional, Conrad, Claudia, additional, Georg, Philipp, additional, Eckardt, Kai-Uwe, additional, Lehner, Lukas, additional, Kruse, Jan M., additional, Ferse, Carolin, additional, Körner, Roland, additional, Spies, Claudia, additional, Edel, Andreas, additional, Weber-Carstens, Steffen, additional, Krannich, Alexander, additional, Zvorc, Saskia, additional, Li, Linna, additional, Behrens, Uwe, additional, Schmidt, Sein, additional, Rönnefarth, Maria, additional, Dang-Heine, Chantip, additional, Röhle, Robert, additional, Lieker, Emma, additional, Kretzler, Lucie, additional, Wirsching, Isabelle, additional, Wollboldt, Christian, additional, Wu, Yinan, additional, Schwanitz, Georg, additional, Hillus, David, additional, Kasper, Stefanie, additional, Olk, Nadine, additional, Horn, Alexandra, additional, Briesemeister, Dana, additional, Treue, Denise, additional, Hummel, Michael, additional, Corman, Victor M., additional, Drosten, Christian, additional, and von Kalle, Christof, additional

Published
2021
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7. Complement Activation Induces Excessive T Cell Cytotoxicity in Severe COVID-19

Author

Georg, Philipp, primary, Astaburuaga-García, Rosario, additional, Bonaguro, Lorenzo, additional, Brumhard, Sophia, additional, Michalick, Laura, additional, Lippert, Lena J., additional, Kostevc, Tomislav, additional, Gäbel, Christiane, additional, Schneider, Maria, additional, Streitz, Mathias, additional, Demichev, Vadim, additional, Gemünd, Ioanna, additional, Barone, Matthias, additional, Tober-Lau, Pinkus, additional, Helbig, Elisa Theresa, additional, Stein, Julia, additional, Dey, Hannah-Philine, additional, Paclik, Daniela, additional, Mülleder, Michael, additional, Aulakh, Simran Kaur, additional, Mei, Henrik E., additional, Schulz, Axel Ronald, additional, Hippenstiel, Stefan, additional, Corman, Victor M., additional, Beule, Dieter, additional, Wyler, Emanuel, additional, Landthaler, Markus, additional, Obermayer-Wasserscheid, Benedikt, additional, Boor, Peter, additional, Demir, Münevver, additional, Wesselmann, Hans, additional, Suttorp, Norbert, additional, Uhrig, Alexander, additional, Müller-Redetzky, Holger, additional, Nattermann, Jacob, additional, Kuebler, Wolfgang, additional, Meisel, Christian, additional, Ralser, Markus, additional, Schultze, Joachim L., additional, Aschenbrenner, Anna C., additional, Thibeault, Charlotte, additional, Kurth, Florian, additional, Sander, Leif E., additional, Blüthgen, Nils, additional, and Sawitzki, Birgit, additional

Published
2021
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8. Ultra-High-Throughput Clinical Proteomics Reveals Classifiers of COVID-19 Infection

Author

Messner, Christoph B., primary, Demichev, Vadim, additional, Wendisch, Daniel, additional, Michalick, Laura, additional, White, Matthew, additional, Freiwald, Anja, additional, Textoris-Taube, Kathrin, additional, Vernardis, Spyros I., additional, Egger, Anna-Sophia, additional, Kreidl, Marco, additional, Ludwig, Daniela, additional, Kilian, Christiane, additional, Agostini, Federica, additional, Zelezniak, Aleksej, additional, Thibeault, Charlotte, additional, Pfeiffer, Moritz, additional, Hippenstiel, Stefan, additional, Hocke, Andreas, additional, von Kalle, Christof, additional, Campbell, Archie, additional, Hayward, Caroline, additional, Porteous, David J., additional, Marioni, Riccardo E., additional, Langenberg, Claudia, additional, Lilley, Kathryn S., additional, Kuebler, Wolfgang M., additional, Mülleder, Michael, additional, Drosten, Christian, additional, Suttorp, Norbert, additional, Witzenrath, Martin, additional, Kurth, Florian, additional, Sander, Leif Erik, additional, and Ralser, Markus, additional

Published
2020
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9. Ice-Age Climate Adaptations Trap the Alpine Marmot in a State of Low Genetic Diversity

Author

Gossmann, Toni I., primary, Shanmugasundram, Achchuthan, additional, Börno, Stefan, additional, Duvaux, Ludovic, additional, Lemaire, Christophe, additional, Kuhl, Heiner, additional, Klages, Sven, additional, Roberts, Lee D., additional, Schade, Sophia, additional, Gostner, Johanna M., additional, Hildebrand, Falk, additional, Vowinckel, Jakob, additional, Bichet, Coraline, additional, Mülleder, Michael, additional, Calvani, Enrica, additional, Zelezniak, Aleksej, additional, Griffin, Julian L., additional, Bork, Peer, additional, Allaine, Dominique, additional, Cohas, Aurélie, additional, Welch, John J., additional, Timmermann, Bernd, additional, and Ralser, Markus, additional

Published
2019
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11. The Response to Past Climate Perturbations Explains Extremely Low Genetic Diversity in the Genome of an Abundant Ice-Age Remnant, the Alpine Marmot

Author

Gossmann​, Toni I., primary, Shanmugasundram​, Achchuthan, additional, Börno, Stefan, additional, Duvaux, Ludovic, additional, Lemaire​, Christophe, additional, Kuhl​, Heiner, additional, Klages, Sven, additional, Roberts, Lee D., additional, Schade, Sophia, additional, Gostner, Johanna M., additional, Hildebrand, Falk, additional, Vowinckel, Jakob, additional, Bichet​, Coraline, additional, Mülleder, Michael, additional, Calvani, Enrica, additional, Zelezniak​, Aleksej, additional, Griffin, Julian L., additional, Bork​, Peer, additional, Allaine, Dominique, additional, Cohas, Aurelie, additional, Welch, John J., additional, Timmermann​, Bernd, additional, and Ralser, Markus, additional

Published
2018
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12. Yeast Creates a Niche for Symbiotic Lactic Acid Bacteria through Nitrogen Overflow

Author

Ponomarova, Olga, primary, Gabrielli, Natalia, additional, Sévin, Daniel C., additional, Mülleder, Michael, additional, Zirngibl, Katharina, additional, Bulyha, Katsiaryna, additional, Andrejev, Sergej, additional, Kafkia, Eleni, additional, Typas, Athanasios, additional, Sauer, Uwe, additional, Ralser, Markus, additional, and Patil, Kiran Raosaheb, additional

Published
2017
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15. Ultra-High-Throughput Clinical Proteomics Reveals Classifiers of COVID-19 Infection

Author

Messner, Christoph B, Demichev, Vadim, Wendisch, Daniel, Michalick, Laura, White, Matthew, Freiwald, Anja, Textoris-Taube, Kathrin, Vernardis, Spyros I, Egger, Anna-Sophia, Kreidl, Marco, Ludwig, Daniela, Kilian, Christiane, Agostini, Federica, Zelezniak, Aleksej, Thibeault, Charlotte, Pfeiffer, Moritz, Hippenstiel, Stefan, Hocke, Andreas, Von Kalle, Christof, Campbell, Archie, Hayward, Caroline, Porteous, David J, Marioni, Riccardo E, Langenberg, Claudia, Lilley, Kathryn S, Kuebler, Wolfgang M, Mülleder, Michael, Drosten, Christian, Suttorp, Norbert, Witzenrath, Martin, Kurth, Florian, Sander, Leif Erik, and Ralser, Markus

Subjects
Adult, Aged, 80 and over, Male, Proteomics, SARS-CoV-2, Pneumonia, Viral, COVID-19, Blood Proteins, Middle Aged, clinical classifiers, 3. Good health, COVID-19 infection, Betacoronavirus, Young Adult, high-throughput proteomics, SWATH-MS, Humans, Female, antiviral immune response, Coronavirus Infections, Pandemics, Biomarkers, mass spectrometry, Aged
Abstract

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 ISO13485 standardization to facilitate simple implementation in regulated clinical laboratories. Our low-cost workflow handles up to 180 samples per day, enables high precision quantification, and reduces batch effects for large-scale and longitudinal studies. We use our platform on samples collected from a cohort of early hospitalized cases of the SARS-CoV-2 pandemic and identify 27 potential biomarkers that are differentially expressed depending on the WHO severity grade of COVID-19. They include complement factors, the coagulation system, inflammation modulators, and pro-inflammatory factors upstream and downstream of interleukin 6. All protocols and software for implementing our approach are freely available. In total, this work supports the development of routine proteomic assays to aid clinical decision making and generate hypotheses about potential COVID-19 therapeutic targets.

16. Ice-Age Climate Adaptations Trap the Alpine Marmot in a State of Low Genetic Diversity

Author

Gossmann, Toni I, Shanmugasundram, Achchuthan, Börno, Stefan, Duvaux, Ludovic, Lemaire, Christophe, Kuhl, Heiner, Klages, Sven, Roberts, Lee D, Schade, Sophia, Gostner, Johanna M, Hildebrand, Falk, Vowinckel, Jakob, Bichet, Coraline, Mülleder, Michael, Calvani, Enrica, Zelezniak, Aleksej, Griffin, Julian L, Bork, Peer, Allaine, Dominique, Cohas, Aurélie, Welch, John J, Timmermann, Bernd, and Ralser, Markus

Subjects
low genetic diversity, Population Density, NUMT, Genome, Alpine marmot, Climate, Adaptation, Biological, Genetic Variation, climate adaptation, large population size, 15. Life on land, migration, ice age, 13. Climate action, Marmota, lipidomics, Animals, 14. Life underwater, pleistocene, reference genome, Phylogeny
Abstract

Some species responded successfully to prehistoric changes in climate [1, 2], while others failed to adapt and became extinct [3]. The factors that determine successful climate adaptation remain poorly understood. We constructed a reference genome and studied physiological adaptations in the Alpine marmot (Marmota marmota), a large ground-dwelling squirrel exquisitely adapted to the "ice-age" climate of the Pleistocene steppe [4, 5]. Since the disappearance of this habitat, the rodent persists in large numbers in the high-altitude Alpine meadow [6, 7]. Genome and metabolome showed evidence of adaptation consistent with cold climate, affecting white adipose tissue. Conversely, however, we found that the Alpine marmot has levels of genetic variation that are among the lowest for mammals, such that deleterious mutations are less effectively purged. Our data rule out typical explanations for low diversity, such as high levels of consanguineous mating, or a very recent bottleneck. Instead, ancient demographic reconstruction revealed that genetic diversity was lost during the climate shifts of the Pleistocene and has not recovered, despite the current high population size. We attribute this slow recovery to the marmot's adaptive life history. The case of the Alpine marmot reveals a complicated relationship between climatic changes, genetic diversity, and conservation status. It shows that species of extremely low genetic diversity can be very successful and persist over thousands of years, but also that climate-adapted life history can trap a species in a persistent state of low genetic diversity.

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