Researcher Portfolio
Zeng, Wen-Feng
Mann, Matthias / Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Max Planck Society
Researcher Profile
Position: Mann, Matthias / Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Max Planck Society
Researcher ID: https://pure.mpg.de/cone/persons/resource/persons265701
Publications
: Bogdanow, B., Ruwolt, M., Ruta, J., Mühlberg, L., Wang, C., Zeng, W.-F., Elofsson, A., & Liu, F. (2024). Redesigning error control in cross-linking mass spectrometry enables more robust and sensitive protein-protein interaction studies. Molecular Systems Biology, 21, 90-106. doi:10.1038/s44320-024-00079-w. [PubMan] : Strauss, M. T., Bludau, I., Zeng, W.-F., Voytik, E., Ammar, C., Schessner, J. P., Ilango, R., Gill, M., Meier, F., Willems, S., & Mann, M. (2024). AlphaPept: a modern and open framework for MS-based proteomics. Nature Communications, 15: 2168. doi:10.1038/s41467-024-46485-4. [PubMan] : Steigerwald, S., Sinha, A., Fort, K. L., Zeng, W.-F., Niu, L., Wichmann, C., Kreutzmann, A., Mourad, D., Aizikov, K., Grinfeld, D., Makarov, A., Mann, M., & Meier, F. (2024). Full Mass Range ΦSDM Orbitrap Mass Spectrometry for DIA Proteome Analysis. Molecular & Cellular Proteomics, 23(2): 100713. doi:10.1016/j.mcpro.2024.100713. [PubMan] : Wahle, M., Thielert, M., Zwiebel, M., Skowronek, P., Zeng, W.-F., & Mann, M. (2024). IMBAS-MS discovers organ-specific HLA peptide patterns in plasma. Molecular & Cellular Proteomics, 23(1): 100689. doi:10.1016/j.mcpro.2023.100689. [PubMan] : Thielert, M., Itang, E. C. M., Ammar, C., Rosenberger, F. A., Bludau, I., Schweizer, L., Nordmann, T. M., Skowronek, P., Wahle, M., Zeng, W.-F., Zhou, X.-X., Brunner, A.-D., Richter, S., Levesque, M. P., Theis, F. J., Steger, M., & Mann, M. (2023). Robust dimethyl-based multiplex-DIA doubles single-cell proteome depth via a reference channel. Molecular Systems Biology, 19(9): e1150. doi:10.15252/msb.202211503. [PubMan] : Schweizer, L., Schaller, T., Zwiebel, M., Karayel, O., Müller-Reif, J. B., Zeng, W.-F., Dintner, S., Nordmann, T. M., Hirschbuehl, K., Maerkl, B., Claus, R., & Mann, M. (2023). Quantitative multiorgan proteomics of fatal COVID-19 uncovers tissue-specific effects beyond inflammation. EMBO Molecular Medicine, 15(9): e17459. doi:10.15252/emmm.202317459. [PubMan] : Kong, S., Gong, P., Zeng, W.-F., Jiang, B., Hou, X., Zhang, Y., Zhao, H., Liu, M., Yan, G., Zhou, X., Qiao, X., Wu, M., Yang, P., Liu, C., & Cao, W. (2022). pGlycoQuant with a deep residual network for quantitative glycoproteomics at intact glycopeptide level. Nature Communications, 13(1): 7539. doi:10.1038/s41467-022-35172-x. [PubMan] : Zeng, W.-F., Zhou, X.-X., Willems, S., Ammar, C., Wahle, M., Bludau, I., Voytik, E., Strauss, M. T., & Mann, M. (2022). AlphaPeptDeep: A modular deep learning framework to predict peptide properties for proteomics. Nature Communications, 13(1): 7238. doi:10.1038/s41467-022-34904-3. [PubMan] : Bludau, I., Willems, S., Zeng, W.-F., Strauss, M. T., Hansen, F. M., Tanzer, M. C., Karayel, O., Schulman, B. A., & Mann, M. (2022). The structural context of posttranslational modifications at a proteome-wide scale. PLoS Biology, 20(5): e3001636. doi:10.1371/journal.pbio.3001636. [PubMan]