H
Hannes Hahne
Researcher at Technische Universität München
Publications - 55
Citations - 6206
Hannes Hahne is an academic researcher from Technische Universität München. The author has contributed to research in topics: Proteome & Proteomics. The author has an hindex of 27, co-authored 51 publications receiving 4979 citations. Previous affiliations of Hannes Hahne include Dresden University of Technology & Newcastle University.
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Journal ArticleDOI
Mass-spectrometry-based draft of the human proteome
Mathias Wilhelm,Judith Schlegl,Hannes Hahne,Amin Moghaddas Gholami,Marcus Lieberenz,Mikhail M. Savitski,Emanuel Ziegler,Lars Butzmann,Siegfried Gessulat,Harald Marx,Toby Mathieson,Simone Lemeer,Karsten Schnatbaum,Ulf Reimer,Holger Wenschuh,Martin Mollenhauer,Julia Slotta-Huspenina,Joos-Hendrik Boese,Marcus Bantscheff,Anja Gerstmair,Franz Faerber,Bernhard Kuster +21 more
TL;DR: A mass-spectrometry-based draft of the human proteome and a public, high-performance, in-memory database for real-time analysis of terabytes of big data, called ProteomicsDB are presented, which enables navigation of proteomes, provides biological insight and fosters the development of proteomic technology.
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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
High-fat diet alters gut microbiota physiology in mice
Hannelore Daniel,Amin Moghaddas Gholami,David Berry,Charles Desmarchelier,Hannes Hahne,Gunnar Loh,Stanislas Mondot,Patricia Lepage,Michael Rothballer,Alesia Walker,Christoph Böhm,Mareike Wenning,Michael Wagner,Michael Blaut,Philippe Schmitt-Kopplin,Bernhard Kuster,Dirk Haller,Thomas Clavel +17 more
TL;DR: It is concluded that a HF diet markedly affects the gut bacterial ecosystem at the functional level.
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A deep proteome and transcriptome abundance atlas of 29 healthy human tissues
Dongxue Wang,Basak Eraslan,Basak Eraslan,Thomas Wieland,Björn M. Hallström,Thomas A. Hopf,Daniel P Zolg,Jana Zecha,Anna Asplund,Li-hua Li,Chen Meng,Martin Frejno,Tobias Schmidt,Karsten Schnatbaum,Mathias Wilhelm,Fredrik Pontén,Mathias Uhlén,Julien Gagneur,Hannes Hahne,Bernhard Kuster,Bernhard Kuster +20 more
TL;DR: A quantitative proteome and transcriptome abundance atlas of 29 paired healthy human tissues from the Human Protein Atlas project revealed that hundreds of proteins, particularly in testis, could not be detected even for highly expressed mRNAs and that protein expression is often more stable across tissues than that of transcripts.
Journal ArticleDOI
A scalable approach for protein false discovery rate estimation in large proteomic data sets
Mikhail M. Savitski,Mathias Wilhelm,Hannes Hahne,Bernhard Kuster,Bernhard Kuster,Marcus Bantscheff +5 more
TL;DR: This study investigates the merits of the classic, as well as a novel target–decoy-based protein FDR estimation approach, taking advantage of a heterogeneous data collection comprised of ∼19,000 LC-MS/MS runs deposited in ProteomicsDB.