Výsledky vyhledávání - Reiter, Lukas

High‐precision iRT prediction in the targeted analysis of data‐independent acquisition and its impact on identification and quantitation Autor Bruderer, Roland, Bernhardt, Oliver M., Gandhi, Tejas, Reiter, Lukas

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Quantification of SAHA-Dependent Changes in Histone Modifications Using Data-Independent Acquisition Mass Spectrometry Autor Krautkramer, Kimberly A., Reiter, Lukas, Denu, John M., Dowell, James A.

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Data-independent Acquisition Improves Quantitative Cross-linking Mass Spectrometry Autor Müller, Fränze, Kolbowski, Lars, Bernhardt, Oliver M., Reiter, Lukas, Rappsilber, Juri

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Generic Comparison of Protein Inference Engines Autor Claassen, Manfred, Reiter, Lukas, Hengartner, Michael O., Buhmann, Joachim M., Aebersold, Ruedi

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Cost-effective generation of precise label-free quantitative proteomes in high-throughput by microLC and data-independent acquisition Autor Vowinckel, Jakob, Zelezniak, Aleksej, Bruderer, Roland, Mülleder, Michael, Reiter, Lukas, Ralser, Markus

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Combining Precursor and Fragment Information for Improved Detection of Differential Abundance in Data Independent Acquisition Autor Huang, Ting, Bruderer, Roland, Muntel, Jan, Xuan, Yue, Vitek, Olga, Reiter, Lukas

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Comprehensive quantitative analysis of central carbon and amino-acid metabolism in Saccharomyces cerevisiae under multiple conditions by targeted proteomics Autor Costenoble, Roeland, Picotti, Paola, Reiter, Lukas, Stallmach, Robert, Heinemann, Matthias, Sauer, Uwe, Aebersold, Ruedi

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Advancing Urinary Protein Biomarker Discovery by Data-Independent Acquisition on a Quadrupole-Orbitrap Mass Spectrometer Autor Muntel, Jan, Xuan, Yue, Berger, Sebastian T., Reiter, Lukas, Bachur, Richard, Kentsis, Alex, Steen, Hanno

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Biomarker Candidates for Tumors Identified from Deep-Profiled Plasma Stem Predominantly from the Low Abundant Area Autor Tognetti, Marco, Sklodowski, Kamil, Müller, Sebastian, Kamber, Dominique, Muntel, Jan, Bruderer, Roland, Reiter, Lukas

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Targeted Data Extraction of the MS/MS Spectra Generated by Data-independent Acquisition: A New Concept for Consistent and Accurate Proteome Analysis Autor Gillet, Ludovic C., Navarro, Pedro, Tate, Stephen, Röst, Hannes, Selevsek, Nathalie, Reiter, Lukas, Bonner, Ron, Aebersold, Ruedi

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Optimization of Experimental Parameters in Data-Independent Mass Spectrometry Significantly Increases Depth and Reproducibility of Results Autor Bruderer, Roland, Bernhardt, Oliver M., Gandhi, Tejas, Xuan, Yue, Sondermann, Julia, Schmidt, Manuela, Gomez-Varela, David, Reiter, Lukas

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Protein Identification False Discovery Rates for Very Large Proteomics Data Sets Generated by Tandem Mass Spectrometry Autor Reiter, Lukas, Claassen, Manfred, Schrimpf, Sabine P., Jovanovic, Marko, Schmidt, Alexander, Buhmann, Joachim M., Hengartner, Michael O., Aebersold, Ruedi

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Using iRT, a normalized retention time for more targeted measurement of peptides Autor Escher, Claudia, Reiter, Lukas, MacLean, Brendan, Ossola, Reto, Herzog, Franz, Chilton, John, MacCoss, Michael J., Rinner, Oliver

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Reproducible and Consistent Quantification of the Saccharomyces cerevisiae Proteome by SWATH-mass spectrometry Autor Selevsek, Nathalie, Chang, Ching-Yun, Gillet, Ludovic C., Navarro, Pedro, Bernhardt, Oliver M., Reiter, Lukas, Cheng, Lin-Yang, Vitek, Olga, Aebersold, Ruedi

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New targeted approaches for the quantification of data-independent acquisition mass spectrometry Autor Bruderer, Roland, Sondermann, Julia, Tsou, Chih-Chiang, Barrantes-Freer, Alonso, Stadelmann, Christine, Nesvizhskii, Alexey I., Schmidt, Manuela, Reiter, Lukas, Gomez-Varela, David

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Revealing dynamic protein acetylation across subcellular compartments Autor Baeza, Josue, Lawton, Alexis J., Fan, Jing, Smallegan, Michael J., Lienert, Ian, Gandhi, Tejas, Bernhardt, Oliver M., Reiter, Lukas, Denu, John M.

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Classification of mouse B cell types using surfaceome proteotype maps Autor van Oostrum, Marc, Müller, Maik, Klein, Fabian, Bruderer, Roland, Zhang, Hui, Pedrioli, Patrick G. A., Reiter, Lukas, Tsapogas, Panagiotis, Rolink, Antonius, Wollscheid, Bernd

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Rapid and site-specific deep phosphoproteome profiling by data-independent acquisition without the need for spectral libraries Autor Bekker-Jensen, Dorte B., Bernhardt, Oliver M., Hogrebe, Alexander, Martinez-Val, Ana, Verbeke, Lynn, Gandhi, Tejas, Kelstrup, Christian D., Reiter, Lukas, Olsen, Jesper V.

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Isoform‐resolved correlation analysis between mRNA abundance regulation and protein level degradation Autor Salovska, Barbora, Zhu, Hongwen, Gandhi, Tejas, Frank, Max, Li, Wenxue, Rosenberger, George, Wu, Chongde, Germain, Pierre‐Luc, Zhou, Hu, Hodny, Zdenek, Reiter, Lukas, Liu, Yansheng

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A machine learning-based chemoproteomic approach to identify drug targets and binding sites in complex proteomes Autor Piazza, Ilaria, Beaton, Nigel, Bruderer, Roland, Knobloch, Thomas, Barbisan, Crystel, Chandat, Lucie, Sudau, Alexander, Siepe, Isabella, Rinner, Oliver, de Souza, Natalie, Picotti, Paola, Reiter, Lukas

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