G
George Rosenberger
Researcher at Columbia University
Publications - 55
Citations - 5976
George Rosenberger is an academic researcher from Columbia University. The author has contributed to research in topics: Medicine & Proteome. The author has an hindex of 23, co-authored 44 publications receiving 4376 citations. Previous affiliations of George Rosenberger include University of Zurich & ETH Zurich.
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Journal ArticleDOI
OpenSWATH enables automated, targeted analysis of data-independent acquisition MS data
Hannes L. Röst,George Rosenberger,Pedro Navarro,Ludovic C Gillet,Saša M. Miladinović,Olga T. Schubert,Witold Wolski,Ben C. Collins,Johan Malmström,Lars Malmström,Ruedi Aebersold +10 more
TL;DR: This research presents a novel and scalable approaches that allow for real-time measurement of the response of the immune system to treatments such as chemotherapy and immunotherapy.
Journal ArticleDOI
Data‐independent acquisition‐based SWATH ‐ MS for quantitative proteomics: a tutorial
Christina Ludwig,Ludovic C Gillet,George Rosenberger,George Rosenberger,Sabine Amon,Ben C. Collins,Ruedi Aebersold,Ruedi Aebersold +7 more
TL;DR: This tutorial provides guidelines on how to set up and plan a SWATH‐MS experiment, how to perform the mass spectrometric measurement and how to analyse SWath‐MS data using peptide‐centric scoring.
Journal ArticleDOI
OpenMS: a flexible open-source software platform for mass spectrometry data analysis
Hannes L. Röst,Hannes L. Röst,Timo Sachsenberg,Stephan Aiche,Chris Bielow,Hendrik Weisser,Fabian Aicheler,Sandro Andreotti,Hans-Christian Ehrlich,Petra Gutenbrunner,Erhan Kenar,Xiao Liang,Sven Nahnsen,Lars Nilse,Julianus Pfeuffer,George Rosenberger,Marc Rurik,Uwe Schmitt,Johannes Veit,Mathias Walzer,David Wojnar,Witold Wolski,Oliver Schilling,Jyoti S. Choudhary,Lars Malmström,Lars Malmström,Ruedi Aebersold,Ruedi Aebersold,Knut Reinert,Knut Reinert,Oliver Kohlbacher +30 more
TL;DR: OpenMS 2.0 is presented, a robust, open-source, cross-platform software specifically designed for the flexible and reproducible analysis of high-throughput MS data.
Journal ArticleDOI
A repository of assays to quantify 10,000 human proteins by SWATH-MS.
George Rosenberger,George Rosenberger,Ching Chiek Gene Koh,Ching Chiek Gene Koh,Tiannan Guo,Hannes L. Röst,Hannes L. Röst,Petri Kouvonen,Ben C. Collins,Moritz Heusel,Moritz Heusel,Yansheng Liu,Etienne Caron,Anton Vichalkovski,Marco Faini,Olga T. Schubert,Olga T. Schubert,Pouya Faridi,Pouya Faridi,H. Alexander Ebhardt,Mariette Matondo,Henry H N Lam,Samuel L. Bader,David S. Campbell,Eric W. Deutsch,Robert L. Moritz,Stephen Tate,Ruedi Aebersold,Ruedi Aebersold +28 more
TL;DR: In this paper, the authors present a compendium of highly specific assays covering more than 10,000 human proteins and enabling their targeted analysis in SWATH-MS datasets acquired from research or clinical specimens.
Journal ArticleDOI
Multi-laboratory assessment of reproducibility, qualitative and quantitative performance of SWATH-mass spectrometry
Ben C. Collins,Christie L. Hunter,Yansheng Liu,Birgit Schilling,George Rosenberger,George Rosenberger,Samuel L. Bader,Daniel W. Chan,Bradford W. Gibson,Bradford W. Gibson,Anne-Claude Gingras,Anne-Claude Gingras,Jason M. Held,Mio Hirayama-Kurogi,Guixue Hou,Christoph Krisp,Brett Larsen,Liang Lin,Siqi Liu,Mark P. Molloy,Robert L. Moritz,Sumio Ohtsuki,Ralph Schlapbach,Nathalie Selevsek,Stefani N. Thomas,Shin-Cheng Tzeng,Hui Zhang,Ruedi Aebersold,Ruedi Aebersold +28 more
TL;DR: This study demonstrates that the acquisition of reproducible quantitative proteomics data by multiple labs is achievable, and broadly serves to increase confidence in SWATH-mass spectrometry data acquisition as a reproducible method for large-scale protein quantification.