Researcher Portfolio

 
   

Ammar, Constantin

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/persons273054

External references

 
WorldCat Search for Ammar, Constantin
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Publications

 
 
 : 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(1): 2168. doi:10.1038/s41467-024-46485-4. [PubMan] : Rosenberger, F. A., Thielert, M., Strauss, M. T., Schweizer, L., Ammar, C., Mädler, S. C., Metousis, A., Skowronek, P., Wahle, M., Madden, K., Gote-Schniering, J., Semenova, A., Schiller, H. B., Rodriguez, E., Nordmann, T. M., Mund, A., & Mann, M. (2023). Spatial single-cell mass spectrometry defines zonation of the hepatocyte proteome. Nature Methods, 20(10), 1530-1536. doi:10.1038/s41592-023-02007-6. [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] : Ammar, C., Schessner, J. P., Willems, S., Michaelis, A. C., & Mann, M. (2023). Accurate Label-Free Quantification by directLFQ to Compare Unlimited Numbers of Proteomes. Molecular & Cellular Proteomics, 22(7): 100581. doi:10.1016/j.mcpro.2023.100581. [PubMan] : Schink, S., Ammar, C., Chang, Y.-F., Zimmer, R., & Basan, M. (2022). Analysis of proteome adaptation reveals a key role of the bacterial envelope in starvation survival. Molecular Systems Biology, 18(12): e11160. doi:10.15252/msb.202211160. [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] : Brunner, A.-D., Thielert, M., Vasilopoulou, C., Ammar, C., Coscia, F., Mund, A., Hoerning, O. B., Bache, N., Apalategui, A., Lubeck, M., Richter, S., Fischer, D. S., Raether, O., Park, M. A., Meier, F., Theis, F. J., & Mann, M. (2022). Ultra-high sensitivity mass spectrometry quantifies single-cell proteome changes upon perturbation. Molecular Systems Biology, 18(3): e10798. doi:10.15252/msb.202110798. [PubMan]