| 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 | 3111 | 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 | 1083 | 2015 |
| 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 | 652 | 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 | 581 | 2011 |
| 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 | 580 | 2014 |
| 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 | 457 | 2017 |
| 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 | 369 | 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 | 358 | 2013 |
| 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 | 353 | 2016 |
| 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), 787, 2020 | 345 | 2020 |
| Comparative functional analysis of the Caenorhabditis elegans and Drosophila melanogaster proteomes SP Schrimpf, M Weiss, L Reiter, CH Ahrens, M Jovanovic, J Malmström, ... PLoS biology 7 (3), e1000048, 2009 | 258 | 2009 |
| 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 | 228 | 2017 |
| 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 | 210 | 2015 |
| 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 | 171 | 2019 |
| 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 | 165 | 2019 |
| 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 | 158 | 2016 |
| 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 | 143 | 2019 |
| 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 | 142 | 2015 |
| 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 | 142 | 2011 |
| 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 | 126 | 2020 |
Paola PicottiETH ZuerichEmail yang diverifikasi di bc.biol.ethz.ch