Mass-spectrometry-based draft of the Arabidopsis proteome by Mergner, Julia, Frejno, Martin, List, Markus, Papacek, Michael, Chen, Xia, Chaudhary, Ajeet, Samaras, Patroklos, Richter, Sandra, Shikata, Hiromasa, Messerer, Maxim, Lang, Daniel, Altmann, Stefan, Cyprys, Philipp, Zolg, Daniel P., Mathieson, Toby, Bantscheff, Marcus, Hazarika, Rashmi R., Schmidt, Tobias, Dawid, Corinna, Dunkel, Andreas, Hofmann, Thomas, Sprunck, Stefanie, Falter-Braun, Pascal, Johannes, Frank, Mayer, Klaus F. X., Jürgens, Gerd, Wilhelm, Mathias, Baumbach, Jan, Grill, Erwin, Schneitz, Kay, Schwechheimer, Claus, Kuster, Bernhard

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Robust, reproducible and quantitative analysis of thousands of proteomes by micro-flow LC–MS/MS by Bian, Yangyang, Zheng, Runsheng, Bayer, Florian P., Wong, Cassandra, Chang, Yun-Chien, Meng, Chen, Zolg, Daniel P., Reinecke, Maria, Zecha, Jana, Wiechmann, Svenja, Heinzlmeir, Stephanie, Scherr, Johannes, Hemmer, Bernhard, Baynham, Mike, Gingras, Anne-Claude, Boychenko, Oleksandr, Kuster, Bernhard

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Deep learning boosts sensitivity of mass spectrometry-based immunopeptidomics by Wilhelm, Mathias, Zolg, Daniel P., Graber, Michael, Gessulat, Siegfried, Schmidt, Tobias, Schnatbaum, Karsten, Schwencke-Westphal, Celina, Seifert, Philipp, de Andrade Krätzig, Niklas, Zerweck, Johannes, Knaute, Tobias, Bräunlein, Eva, Samaras, Patroklos, Lautenbacher, Ludwig, Klaeger, Susan, Wenschuh, Holger, Rad, Roland, Delanghe, Bernard, Huhmer, Andreas, Carr, Steven A., Clauser, Karl R., Krackhardt, Angela M., Reimer, Ulf, Kuster, Bernhard

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Proteogenomic analysis reveals RNA as a source for tumor-agnostic neoantigen identification by Tretter, Celina, de Andrade Krätzig, Niklas, Pecoraro, Matteo, Lange, Sebastian, Seifert, Philipp, von Frankenberg, Clara, Untch, Johannes, Zuleger, Gabriela, Wilhelm, Mathias, Zolg, Daniel P., Dreyer, Florian S., Bräunlein, Eva, Engleitner, Thomas, Uhrig, Sebastian, Boxberg, Melanie, Steiger, Katja, Slotta-Huspenina, Julia, Ochsenreither, Sebastian, von Bubnoff, Nikolas, Bauer, Sebastian, Boerries, Melanie, Jost, Philipp J., Schenck, Kristina, Dresing, Iska, Bassermann, Florian, Friess, Helmut, Reim, Daniel, Grützmann, Konrad, Pfütze, Katrin, Klink, Barbara, Schröck, Evelin, Haller, Bernhard, Kuster, Bernhard, Mann, Matthias, Weichert, Wilko, Fröhling, Stefan, Rad, Roland, Hiltensperger, Michael, Krackhardt, Angela M.

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Author Correction: Proteogenomic analysis reveals RNA as a source for tumor-agnostic neoantigen identification by Tretter, Celina, de Andrade Krätzig, Niklas, Pecoraro, Matteo, Lange, Sebastian, Seifert, Philipp, von Frankenberg, Clara, Untch, Johannes, Zuleger, Gabriela, Wilhelm, Mathias, Zolg, Daniel P., Dreyer, Florian S., Bräunlein, Eva, Engleitner, Thomas, Uhrig, Sebastian, Boxberg, Melanie, Steiger, Katja, Slotta-Huspenina, Julia, Ochsenreither, Sebastian, von Bubnoff, Nikolas, Bauer, Sebastian, Boerries, Melanie, Jost, Philipp J., Schenck, Kristina, Dresing, Iska, Bassermann, Florian, Friess, Helmut, Reim, Daniel, Grützmann, Konrad, Pfütze, Katrin, Klink, Barbara, Schröck, Evelin, Haller, Bernhard, Kuster, Bernhard, Mann, Matthias, Weichert, Wilko, Fröhling, Stefan, Rad, Roland, Hiltensperger, Michael, Krackhardt, Angela M.

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Author Correction: Deep learning boosts sensitivity of mass spectrometry-based immunopeptidomics by Wilhelm, Mathias, Zolg, Daniel P., Graber, Michael, Gessulat, Siegfried, Schmidt, Tobias, Schnatbaum, Karsten, Schwencke-Westphal, Celina, Seifert, Philipp, de Andrade Krätzig, Niklas, Zerweck, Johannes, Knaute, Tobias, Bräunlein, Eva, Samaras, Patroklos, Lautenbacher, Ludwig, Klaeger, Susan, Wenschuh, Holger, Rad, Roland, Delanghe, Bernard, Huhmer, Andreas, Carr, Steven A., Clauser, Karl R., Krackhardt, Angela M., Reimer, Ulf, Kuster, Bernhard

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Discovery of suppressors of CRMP2 phosphorylation reveals compounds that mimic the behavioral effects of lithium on amphetamine-induced hyperlocomotion by Zhao, Wen-Ning, Tobe, Brian T. D., Udeshi, Namrata D., Xuan, Lucius L., Pernia, Cameron D., Zolg, Daniel P., Roberts, Amanda J., Mani, Deepak, Blumenthal, Sarah R., Kurtser, Iren, Patnaik, Debasis, Gaisina, Irina, Bishop, Joshua, Sheridan, Steven D., Lalonde, Jasmin, Carr, Steven A., Snyder, Evan Y., Haggarty, Stephen J.

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INFERYS rescoring: Boosting peptide identifications and scoring confidence of database search results by Zolg, Daniel P, Gessulat, Siegfried, Paschke, Carmen, Graber, Michael, Rathke-Kuhnert, Magnus, Seefried, Florian, Fitzemeier, Kai, Berg, Frank, Lopez-Ferrer, Daniel, Horn, David, Henrich, Christoph, Huhmer, Andreas, Delanghe, Bernard, Frejno, Martin

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Mining the Human Tissue Proteome for Protein Citrullination by Lee, Chien-Yun, Wang, Dongxue, Wilhelm, Mathias, Zolg, Daniel P., Schmidt, Tobias, Schnatbaum, Karsten, Reimer, Ulf, Pontén, Fredrik, Uhlén, Mathias, Hahne, Hannes, Kuster, Bernhard

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Prosit-TMT: Deep Learning Boosts Identification of TMT-Labeled Peptides by Gabriel, Wassim, The, Matthew, Zolg, Daniel P., Bayer, Florian P., Shouman, Omar, Lautenbacher, Ludwig, Schnatbaum, Karsten, Zerweck, Johannes, Knaute, Tobias, Delanghe, Bernard, Huhmer, Andreas, Wenschuh, Holger, Reimer, Ulf, Médard, Guillaume, Kuster, Bernhard, Wilhelm, Mathias

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Chemical Phosphoproteomics Sheds New Light on the Targets and Modes of Action of AKT Inhibitors by Wiechmann, Svenja, Ruprecht, Benjamin, Siekmann, Theresa, Zheng, Runsheng, Frejno, Martin, Kunold, Elena, Bajaj, Thomas, Zolg, Daniel P, Sieber, Stephan A, Gassen, Nils C, Kuster, Bernhard

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Peptide Level Turnover Measurements Enable the Study of Proteoform Dynamics by Zecha, Jana, Meng, Chen, Zolg, Daniel Paul, Samaras, Patroklos, Wilhelm, Mathias, Kuster, Bernhard

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