Longitudinal multi-omics analyses identify responses of megakaryocytes, erythroid cells and plasmablasts as hallmarks of severe COVID-19 trajectories

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Longitudinal multi-omics analyses identify responses of megakaryocytes, erythroid cells and plasmablasts as hallmarks of severe COVID-19 trajectories

Author: Bernardes, Joana P.; Mishra, Neha; Tran, Florian; Bahmer, Thomas; Best, Lena; Blase, Johanna I.; Bordoni, Dora; Franzenburg, Jeanette; Geisen, Ulf; Josephs-Spaulding, Jonathan; Köhler, Philipp; Künstner, Axel; Rosati, Elisa; Aschenbrenner, Anna C.; Bacher, Petra; Baran, Nathan; Boysen, Teide; Brandt, Burkhard; Bruse, Niklas; Dörr, Jonathan; Dräger, Andreas; Elke, Gunnar; Ellinghaus, David; Fischer, Julia; Forster, Michael; Franke, Andre; Franzenburg, Sören; Frey, Norbert; Friedrichs, Anette; Fuß, Janina; Glück, Andreas; Hamm, Jacob; Hinrichsen, Finn; Hoeppner, Marc P.; Imm, Simon; Junker, Ralf; Kaiser, Sina; Kan, Ying H.; Knoll, Rainer; Lange, Christoph; Laue, Georg; Lier, Clemens; Lindner, Matthias; Marinos, Georgios; Markewitz, Robert; Nattermann, Jacob; Noth, Rainer; Pickkers, Peter; Rabe, Klaus F.; Renz, Alina; Röcken, Christoph; Rupp, Jan; Schaffarzyk, Annika; Scheffold, Alexander; Schulte-Schrepping, Jonas; Schunck, Domagoj; Skowasch, Dirk; Ulas, Thomas; Wandinger, Klaus-Peter; Wittig, Michael; Zimmermann, Johannes; Busch, Hauke; Hoyer, Bimba F.; Kaleta, Christoph; Heyckendorf, Jan; Kox, Matthijs; Rybniker, Jan; Schreiber, Stefan; Schultze, Joachim; Rosenstiel, Philip
Tübinger Autor(en):
Dräger, Andreas
Renz, Alina
Published in: Immunity (2020-11-26), Bd.
Verlagsangabe: Elsevier
Language: English
Full text: http://dx.doi.org/10.1016/j.immuni.2020.11.017
ISBN: 1074-7613
DDC Classifikation: 500 - Natural sciences and mathematics
570 - Life sciences; biology
610 - Medicine and health
Keywords: SARS-CoV-2 , COVID-19 , Blut , Infektion , Systembiologie , Modellierung , Bioinformatik
Dokumentart: Artikel
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