Resultados da pesquisa - Reiter, Lukas

High‐precision iRT prediction in the targeted analysis of data‐independent acquisition and its impact on identification and quantitation Por 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 Por Krautkramer, Kimberly A., Reiter, Lukas, Denu, John M., Dowell, James A.

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

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Generic Comparison of Protein Inference Engines Por 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 Por 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 Por 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 Por 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 Por 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 Por 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 Por 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 Por 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 Por 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 Por 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 Por 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 Por 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 Por 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 Por 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 Por 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 Por 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 Por 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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