M
Maria Reinecke
Researcher at German Cancer Research Center
Publications - 14
Citations - 1784
Maria Reinecke is an academic researcher from German Cancer Research Center. The author has contributed to research in topics: Proteomics & Kinome. The author has an hindex of 7, co-authored 11 publications receiving 936 citations. Previous affiliations of Maria Reinecke include Ludwig Maximilian University of Munich & Technische Universität München.
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Journal ArticleDOI
The target landscape of clinical kinase drugs
Susan Klaeger,Susan Klaeger,Stephanie Heinzlmeir,Stephanie Heinzlmeir,Mathias Wilhelm,Harald Polzer,Harald Polzer,Binje Vick,Paul-Albert Koenig,Maria Reinecke,Maria Reinecke,Benjamin Ruprecht,Svenja Petzoldt,Svenja Petzoldt,Chen Meng,Jana Zecha,Jana Zecha,Katrin Reiter,Katrin Reiter,Huichao Qiao,Dominic Helm,Heiner Koch,Heiner Koch,Melanie Schoof,G. Canevari,Elena Casale,Stefania Re Depaolini,Annette Feuchtinger,Zhixiang Wu,Tobias Schmidt,Lars Rueckert,Wilhelm Becker,Jan Huenges,Anne-Kathrin Garz,Bjoern-Oliver Gohlke,Bjoern-Oliver Gohlke,Daniel P Zolg,Gian Kayser,Tõnu Vooder,Tõnu Vooder,Robert Preissner,Robert Preissner,Hannes Hahne,Neeme Tõnisson,Neeme Tõnisson,Karl Kramer,Katharina Götze,Florian Bassermann,Judith Schlegl,Hans-Christian Ehrlich,Stephan Aiche,Axel Walch,Philipp A. Greif,Philipp A. Greif,Sabine Schneider,Eduard R. Felder,Juergen Ruland,Guillaume Médard,Irmela Jeremias,Karsten Spiekermann,Karsten Spiekermann,Bernhard Kuster +61 more
TL;DR: A comprehensive analysis of 243 kinase inhibitors that are either approved for use or in clinical trials provides an open-access resource of target summaries that could help researchers develop better drugs, understand how existing drugs work, and design more effective clinical trials.
Journal ArticleDOI
Multilevel proteomics reveals host perturbations by SARS-CoV-2 and SARS-CoV.
Alexey Stukalov,Virginie Girault,Vincent Grass,Ozge Karayel,Valter Bergant,Christian Urban,Darya A. Haas,Yiqi Huang,Lila Oubraham,Anqi Wang,M. Sabri Hamad,Antonio Piras,Fynn M. Hansen,Maria C. Tanzer,Igor Paron,Luca Zinzula,Thomas Engleitner,Maria Reinecke,Maria Reinecke,Teresa M. Lavacca,Rosina Ehmann,Roman Wölfel,Jörg Jores,Bernhard Kuster,Bernhard Kuster,Ulrike Protzer,Roland Rad,John Ziebuhr,Volker Thiel,Pietro Scaturro,Pietro Scaturro,Matthias Mann,Andreas Pichlmair +32 more
TL;DR: A concurrent multi-omics study of SARS CoV-2 and SARS-CoV was conducted in this article, where the authors profiled the interactomes of both viruses, as well as their influence on the transcriptome, proteome, ubiquitinome and phosphoproteome of a lung derived human cell line.
Posted ContentDOI
Multi-level proteomics reveals host-perturbation strategies of SARS-CoV-2 and SARS-CoV
Alexey Stukalov,Virginie Girault,Vincent Grass,Ozge Karayel,Valter Bergant,Christian Urban,Darya A. Haas,Yiqi Huang,Lila Oubraham,Anqi Wang,Sabri M. Hamad,Antonio Piras,Fynn M. Hansen,Maria C. Tanzer,Igor Paron,Luca Zinzula,Luca Zinzula,Thomas Engleitner,Maria Reinecke,Maria Reinecke,Teresa M. Lavacca,Rosina Ehmann,Roman Wölfel,Jörg Jores,Bernhard Kuster,Bernhard Kuster,Ulrike Protzer,Roland Rad,John Ziebuhr,Volker Thiel,Pietro Scaturro,Pietro Scaturro,Matthias Mann,Andreas Pichlmair +33 more
TL;DR: The TGF-β pathway, known for its involvement in tissue fibrosis, was specifically dysregulated by Sars-CoV-2 ORF8 and autophagy by SARS-CoVs ORF3, and was identified as a hotspot that can be targeted by existing drugs and it can guide rational design of virus- and host-directed therapies.
Journal ArticleDOI
Robust, reproducible and quantitative analysis of thousands of proteomes by micro-flow LC-MS/MS.
Yangyang Bian,Yangyang Bian,Runsheng Zheng,Florian P. Bayer,Cassandra J. Wong,Yun-Chien Chang,Chen Meng,Daniel P Zolg,Maria Reinecke,Maria Reinecke,Maria Reinecke,Jana Zecha,Svenja Wiechmann,Svenja Wiechmann,Svenja Wiechmann,Stephanie Heinzlmeir,Johannes Scherr,Bernhard Hemmer,Mike Baynham,Anne-Claude Gingras,Oleksandr Boychenko,Bernhard Kuster,Bernhard Kuster +22 more
TL;DR: This study demonstrates that micro-flow LC–MS/MS is suitable for a broad range of proteomic applications and enables robust and reproducible high-throughput proteomics experiments at a very moderate loss of sensitivity.
Journal ArticleDOI
ProteomicsDB: a multi-omics and multi-organism resource for life science research.
Patroklos Samaras,Tobias Schmidt,Martin Frejno,Siegfried Gessulat,Maria Reinecke,Maria Reinecke,Maria Reinecke,Anna Jarzab,Jana Zecha,Julia Mergner,Piero Giansanti,Hans-Christian Ehrlich,Stephan Aiche,Johannes Rank,Harald Kienegger,Helmut Krcmar,Bernhard Kuster,Mathias Wilhelm +17 more
TL;DR: A new service in ProteomicsDB is introduced which allows users to upload their own expression datasets and analyze them alongside with data stored in ProeomicsDB, and supports the storage and visualization of data collected from other organisms, exemplified by Arabidopsis thaliana.