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Roland Bruderer
Roland Bruderer
Biognosys AG
Verified email at biognosys.com - Homepage
Title
Cited by
Cited by
Year
Extending the limits of quantitative proteome profiling with data-independent acquisition and application to acetaminophen-treated three-dimensional liver microtissues*[S]
R Bruderer, OM Bernhardt, T Gandhi, SM Miladinoviĉ, LY Cheng, ...
Molecular & Cellular Proteomics 14 (5), 1400-1410, 2015
9182015
Optimization of experimental parameters in data-independent mass spectrometry significantly increases depth and reproducibility of results
R Bruderer, OM Bernhardt, T Gandhi, Y Xuan, J Sondermann, M Schmidt, ...
Molecular & Cellular Proteomics 16 (12), 2296-2309, 2017
3802017
Cdc48/p97 promotes reformation of the nucleus by extracting the kinase Aurora B from chromatin
K Ramadan, R Bruderer, FM Spiga, O Popp, T Baur, M Gotta, HH Meyer
Nature 450 (7173), 1258-1262, 2007
3222007
Purification and identification of endogenous polySUMO conjugates
R Bruderer, MH Tatham, A Plechanovova, I Matic, AK Garg, RT Hay
EMBO reports 12 (2), 142-148, 2011
2072011
The AAA ATPase p97/VCP interacts with its alternative co-factors, Ufd1-Npl4 and p47, through a common bipartite binding mechanism
RM Bruderer, C Brasseur, HH Meyer
Journal of Biological Chemistry 279 (48), 49609-49616, 2004
1882004
Surpassing 10000 identified and quantified proteins in a single run by optimizing current LC-MS instrumentation and data analysis strategy
J Muntel, T Gandhi, L Verbeke, OM Bernhardt, T Treiber, R Bruderer, ...
Molecular omics 15 (5), 348-360, 2019
1492019
Analysis of 1508 Plasma Samples by Capillary-Flow Data-Independent Acquisition Profiles Proteomics of Weight Loss and Maintenance'[S]
R Bruderer, J Muntel, S Müller, OM Bernhardt, T Gandhi, O Cominetti, ...
Molecular & Cellular Proteomics 18 (6), 1242-1254, 2019
1452019
High‐precision iRT prediction in the targeted analysis of data‐independent acquisition and its impact on identification and quantitation
R Bruderer, OM Bernhardt, T Gandhi, L Reiter
Proteomics 16 (15-16), 2246-2256, 2016
1422016
Comparison of protein quantification in a complex background by DIA and TMT workflows with fixed instrument time
J Muntel, J Kirkpatrick, R Bruderer, T Huang, O Vitek, A Ori, L Reiter
Journal of proteome research 18 (3), 1340-1351, 2019
1112019
A machine learning-based chemoproteomic approach to identify drug targets and binding sites in complex proteomes
I Piazza, N Beaton, R Bruderer, T Knobloch, C Barbisan, L Chandat, ...
Nature communications 11 (1), 4200, 2020
902020
Cost-effective generation of precise label-free quantitative proteomes in high-throughput by microLC and data-independent acquisition
J Vowinckel, A Zelezniak, R Bruderer, M Mülleder, L Reiter, M Ralser
Scientific Reports 8 (1), 4346, 2018
782018
Ubiquitylation of the chemokine receptor CCR7 enables efficient receptor recycling and cell migration
K Schaeuble, MA Hauser, AV Rippl, R Bruderer, C Otero, M Groettrup, ...
Journal of cell science 125 (19), 4463-4474, 2012
522012
Combining precursor and fragment information for improved detection of differential abundance in data independent acquisition
T Huang, R Bruderer, J Muntel, Y Xuan, O Vitek, L Reiter
Molecular & Cellular Proteomics 19 (2), 421-430, 2020
492020
Different syngeneic tumors show distinctive intrinsic tumor-immunity and mechanisms of actions (MOA) of anti-PD-1 treatment
Y Jin, X An, B Mao, R Sun, R Kumari, X Chen, Y Shan, M Zang, L Xu, ...
Scientific Reports 12 (1), 3278, 2022
372022
Classification of mouse B cell types using surfaceome proteotype maps
M van Oostrum, M Müller, F Klein, R Bruderer, H Zhang, PGA Pedrioli, ...
Nature communications 10 (1), 5734, 2019
352019
New targeted approaches for the quantification of data‐independent acquisition mass spectrometry
R Bruderer, J Sondermann, CC Tsou, A Barrantes‐Freer, C Stadelmann, ...
Proteomics 17 (9), 1700021, 2017
342017
Systematic comparison of strategies for the enrichment of lysosomes by data independent acquisition
J Singh, E Kaade, J Muntel, R Bruderer, L Reiter, M Thelen, D Winter
Journal of proteome research 19 (1), 371-381, 2019
272019
Biomarker candidates for tumors identified from deep-profiled plasma stem predominantly from the low abundant area
M Tognetti, K Sklodowski, S Müller, D Kamber, J Muntel, R Bruderer, ...
Journal of proteome research 21 (7), 1718-1735, 2022
222022
Global, in situ analysis of the structural proteome in individuals with Parkinson’s disease to identify a new class of biomarker
MT Mackmull, L Nagel, F Sesterhenn, J Muntel, J Grossbach, P Stalder, ...
Nature structural & molecular biology 29 (10), 978-989, 2022
172022
Compounds activating VCP D1 ATPase enhance both autophagic and proteasomal neurotoxic protein clearance
L Wrobel, SM Hill, A Djajadikerta, M Fernandez-Estevez, C Karabiyik, ...
Nature Communications 13 (1), 4146, 2022
122022
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