Lukas Reiter
Lukas Reiter
CTO, Biognosys AG
Verified email at
Cited by
Cited by
Targeted data extraction of the MS/MS spectra generated by data-independent acquisition: a new concept for consistent and accurate proteome analysis
LC Gillet, P Navarro, S Tate, H Röst, N Selevsek, L Reiter, R Bonner, ...
Molecular & Cellular Proteomics 11 (6), O111. 016717, 2012
Extending the limits of quantitative proteome profiling with data-independent acquisition and application to acetaminophen-treated three-dimensional liver microtissues
R Bruderer, OM Bernhardt, T Gandhi, SM Miladinović, LY Cheng, ...
Molecular & Cellular Proteomics 14 (5), 1400-1410, 2015
Targeted peptide measurements in biology and medicine: best practices for mass spectrometry-based assay development using a fit-for-purpose approach
SA Carr, SE Abbatiello, BL Ackermann, C Borchers, B Domon, ...
Molecular & Cellular Proteomics 13 (3), 907-917, 2014
Using i RT, a normalized retention time for more targeted measurement of peptides
C Escher, L Reiter, B MacLean, R Ossola, F Herzog, J Chilton, ...
Proteomics 12 (8), 1111-1121, 2012
mProphet: automated data processing and statistical validation for large-scale SRM experiments
L Reiter, O Rinner, P Picotti, R Hüttenhain, M Beck, MY Brusniak, ...
Nature methods 8 (5), 430-435, 2011
Protein identification false discovery rates for very large proteomics data sets generated by tandem mass spectrometry
L Reiter, M Claassen, SP Schrimpf, M Jovanovic, A Schmidt, JM Buhmann, ...
Molecular & Cellular Proteomics 8 (11), 2405-2417, 2009
A complete mass-spectrometric map of the yeast proteome applied to quantitative trait analysis
P Picotti, M Clément-Ziza, H Lam, DS Campbell, A Schmidt, EW Deutsch, ...
Nature 494 (7436), 266-270, 2013
Comparative functional analysis of the Caenorhabditis elegans and Drosophila melanogaster proteomes
SP Schrimpf, M Weiss, L Reiter, CH Ahrens, M Jovanovic, J Malmström, ...
PLoS Biol 7 (3), e1000048, 2009
A multicenter study benchmarks software tools for label-free proteome quantification
P Navarro, J Kuharev, LC Gillet, OM Bernhardt, B MacLean, HL Röst, ...
Nature biotechnology 34 (11), 1130-1136, 2016
Reproducible and consistent quantification of the Saccharomyces cerevisiae proteome by SWATH-mass spectrometry
N Selevsek, CY Chang, LC Gillet, P Navarro, OM Bernhardt, L Reiter, ...
Molecular & Cellular Proteomics 14 (3), 739-749, 2015
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
Comprehensive quantitative analysis of central carbon and amino‐acid metabolism in Saccharomyces cerevisiae under multiple conditions by targeted proteomics
R Costenoble, P Picotti, L Reiter, R Stallmach, M Heinemann, U Sauer, ...
Molecular systems biology 7 (1), 464, 2011
Statistical control of peptide and protein error rates in large-scale targeted data-independent acquisition analyses
G Rosenberger, I Bludau, U Schmitt, M Heusel, CL Hunter, Y Liu, ...
Nature methods 14 (9), 921-927, 2017
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
A quantitative targeted proteomics approach to validate predicted microRNA targets in C. elegans
M Jovanovic, L Reiter, P Picotti, V Lange, E Bogan, BA Hurschler, ...
Nature methods 7 (10), 837-842, 2010
Advancing urinary protein biomarker discovery by data-independent acquisition on a quadrupole-orbitrap mass spectrometer
J Muntel, Y Xuan, ST Berger, L Reiter, R Bachur, A Kentsis, H Steen
Journal of proteome research 14 (11), 4752-4762, 2015
ATAQS: A computational software tool for high throughput transition optimization and validation for selected reaction monitoring mass spectrometry
MYK Brusniak, ST Kwok, M Christiansen, D Campbell, L Reiter, P Picotti, ...
BMC bioinformatics 12 (1), 1-15, 2011
Rapid and site-specific deep phosphoproteome profiling by data-independent acquisition without the need for spectral libraries
DB Bekker-Jensen, OM Bernhardt, A Hogrebe, A Martinez-Val, L Verbeke, ...
Nature communications 11 (1), 1-12, 2020
Analysis of 1508 plasma samples by capillary-flow data-independent acquisition profiles proteomics of weight loss and maintenance
R Bruderer, J Muntel, S Müller, OM Bernhardt, T Gandhi, O Cominetti, ...
Molecular & Cellular Proteomics 18 (6), 1242-1254, 2019
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), 1-10, 2018
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