Reiter, Lukas

Targeted Data Extraction of the MS/MS Spectra Generated by Data-independent Acquisition: A New Concept for Consistent and Accurate Proteome Analysis

Gillet, L. C., Navarro, P., Tate, S., Röst, H., Selevsek, N., Reiter, L., Bonner, R., & Aebersold, R. (2012) · Molecular & Cellular Proteomics

Advanced Proteomics Techniques and ApplicationsMass Spectrometry Techniques and Applications

Cited by 2,877

Extending the Limits of Quantitative Proteome Profiling with Data-Independent Acquisition and Application to Acetaminophen-Treated Three-Dimensional Liver Microtissues

Bruderer, R., Bernhardt, O. M., Gandhi, T., Miladinović, S. M., Cheng, L.-Y., Messner, S., Ehrenberger, T., Zanotelli, V., Butscheid, Y., Escher, C., et al. (2015) · Molecular & Cellular Proteomics

Advanced Proteomics Techniques and ApplicationsMass Spectrometry Techniques and Applications

Cited by 1,238

Targeted Peptide Measurements in Biology and Medicine: Best Practices for Mass Spectrometry-based Assay Development Using a Fit-for-Purpose Approach

Carr, S. A., Abbatiello, S. E., Ackermann, B. L., Borchers, C., Domon, B., Deutsch, E. W., Grant, R. P., Hoofnagle, A. N., Hüttenhain, R., Koomen, J. M., et al. (2014) · Molecular & Cellular Proteomics

Advanced Proteomics Techniques and ApplicationsMass Spectrometry Techniques and Applications

Cited by 561

mProphet: automated data processing and statistical validation for large-scale SRM experiments

Reiter, L., Rinner, O., Picotti, P., Hüttenhain, R., Beck, M., Brusniak, M.-Y., Hengartner, M. O., & Aebersold, R. (2011) · Nature Methods

Advanced Proteomics Techniques and ApplicationsMass Spectrometry Techniques and Applications

Cited by 532

A multicenter study benchmarks software tools for label-free proteome quantification

Navarro, P., Kuharev, J., Gillet, L. C., Bernhardt, O. M., MacLean, B., Röst, H. L., Tate, S. A., Tsou, C.-C., Reiter, L., Distler, U., et al. (2016) · Nature Biotechnology

Advanced Proteomics Techniques and ApplicationsMass Spectrometry Techniques and Applications

Cited by 346

A complete mass-spectrometric map of the yeast proteome applied to quantitative trait analysis

Picotti, P., Clément-Ziza, M., Lam, H., Campbell, D. S., Schmidt, A., Deutsch, E. W., Röst, H., Sun, Z., Rinner, O., Reiter, L., et al. (2013) · Nature

Advanced Proteomics Techniques and ApplicationsMass Spectrometry Techniques and Applications

Cited by 318

Protein Identification False Discovery Rates for Very Large Proteomics Data Sets Generated by Tandem Mass Spectrometry

Reiter, L., Claassen, M., Schrimpf, S. P., Jovanovic, M., Schmidt, A., Buhmann, J. M., Hengartner, M. O., & Aebersold, R. (2009) · Molecular & Cellular Proteomics

Advanced Proteomics Techniques and ApplicationsBioinformatics and Genomic Networks

Cited by 312

Comparative Functional Analysis of the Caenorhabditis elegans and Drosophila melanogaster Proteomes

Schrimpf, S. P., Weiss, M., Reiter, L., Ahrens, C. H., Jovanovic, M., Malmström, J., Brunner, E., Mohanty, S., Lercher, M. J., Hunziker, P. E., et al. (2009) · PLoS Biology

Advanced Proteomics Techniques and ApplicationsGenomics and Phylogenetic Studies

Cited by 229

Statistical control of peptide and protein error rates in large-scale targeted data-independent acquisition analyses

Rosenberger, G., Bludau, I., Schmitt, U., Heusel, M., Hunter, C. L., Liu, Y., MacCoss, M. J., MacLean, B. X., Nesvizhskii, A. I., Pedrioli, P. G. A., et al. (2017) · Nature Methods

Advanced Proteomics Techniques and ApplicationsMass Spectrometry Techniques and Applications

Cited by 203

Precise label-free quantitative proteomes in high-throughput by microLC and data-independent SWATH acquisition

Vowinckel, J., Zelezniak, A., Kibler, A., Bruderer, R., Muelleder, M., Reiter, L., & Ralser, M. (2016) · Scientific Reports

Advanced Proteomics Techniques and ApplicationsMass Spectrometry Techniques and Applications

Cited by 81

Different syngeneic tumors show distinctive intrinsic tumor-immunity and mechanisms of actions (MOA) of anti-PD-1 treatment

Jin, Y., An, X., Mao, B., Sun, R., Kumari, R., Chen, X., Shan, Y., Zang, M., Xu, L., Muntel, J., et al. (2022) · Scientific Reports

Cancer Immunotherapy and BiomarkersT-cell and B-cell Immunology

Cited by 73