B
Bernhard Kuster
Researcher at Technische Universität München
Publications - 310
Citations - 37543
Bernhard Kuster is an academic researcher from Technische Universität München. The author has contributed to research in topics: Proteome & Proteomics. The author has an hindex of 79, co-authored 277 publications receiving 31872 citations. Previous affiliations of Bernhard Kuster include GlaxoSmithKline & German Cancer Research Center.
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Journal ArticleDOI
Identification of molecular targets for the targeted treatment of gastric cancer using dasatinib
Raquel Carvalho Montenegro,Alison Howarth,Alessandro Ceroni,Vita Fedele,Batoul Farran,Felipe Pantoja Mesquita,Martin Frejno,Benedict-Tilman Berger,Benedict-Tilman Berger,Stephanie Heinzlmeir,Stephanie Heinzlmeir,Heba Z. Sailem,Roberta Tesch,Roberta Tesch,Daniel Ebner,Stefan Knapp,Stefan Knapp,Rommel Mario Rodriguez Burbano,Bernhard Kuster,Bernhard Kuster,Susanne Müller +20 more
TL;DR: The data suggest dasatinib for treatment of GC based on its unique property, inhibiting a small number of key kinases (SRC, FRK, DDR1 and SIK2), highly expressed in GC patients.
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Robust Microflow LC-MS/MS for Proteome Analysis: 38 000 Runs and Counting.
Yangyang Bian,Yangyang Bian,Florian P. Bayer,Yun-Chien Chang,Chen Meng,Stefanie Hoefer,Nan Deng,Runsheng Zheng,Oleksandr Boychenko,Bernhard Kuster +9 more
TL;DR: In this paper, microflow liquid chromatography tandem mass spectrometer (μLC-MS/MS) is proposed as a viable alternative to nanoflow LC-MS for the analysis of proteomes.
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Proteomics Is Not an Island: Multi-omics Integration Is the Key to Understanding Biological Systems.
Bing Zhang,Bernhard Kuster +1 more
TL;DR: This special issue brings together a series of articles describing novel computational methods and tools, biological applications, and perspectives on multi-omics integration with the aim to raise awareness in the field for this ever-growing need.
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Spectral prediction features as a solution for the search space size problem in proteogenomics
Steven Verbruggen,Siegfried Gessulat,Ralf Gabriels,Anna Matsaroki,Hendrik Van de Voorde,Bernhard Kuster,Sven Degroeve,Lennart Martens,Wim Van Criekinge,Mathias Wilhelm,Gerben Menschaert +10 more
TL;DR: In this article, features extracted from tandem mass spectrometry intensity predictors can enhance the peptide identification rate and can provide extra confidence for peptide-to-spectrum matching in a proteogenomics context.
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Reduced mitochondrial mass and function add to age‐related susceptibility toward diet‐induced fatty liver in C57BL/6J mice
Kerstin Lohr,Fiona Pachl,Amin Moghaddas Gholami,Kerstin E. Geillinger,Hannelore Daniel,Bernhard Kuster,Martin Klingenspor +6 more
TL;DR: In this paper, the effect of high fat diet feeding and age on liver mitochondria at an early stage of NAFLD development was investigated in C57BL/6J mice.