Matthias Mann

Matthias Mann

Professor, head of research, Professor

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    ORCID: 0000-0003-1292-4799

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    1. Accurate MS-based Rab10 Phosphorylation Stoichiometry Determination as Readout for LRRK2 Activity in Parkinson’s Disease

      Karayel, O., Tonelli, F., Virreira Winter, S., Geyer, P. E., Fan, Y., Sammler, E. M., Alessi, D., Steger, M. & Mann, Matthias, 2020, In: Molecular and Cellular Proteomics. p. 1546-1560

      Research output: Contribution to journal › Journal article › Research › peer-review

    2. Published

      Actin homolog MreB and RNA polymerase interact and are both required for chromosome segregation in Escherichia coli

      Kruse, Thomas, Blagoev, B., Løbner-Olesen, Anders, Wachi, M., Sasaki, K., Iwai, N., Mann, Matthias & Gerdes, K., 1 Jan 2006, In: Genes & Development. 20, 1, p. 113-124 12 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    3. Published

      Activation of the ATR kinase by the RPA-binding protein ETAA1

      Haahr, Peter Thorlund, Hoffmann, Saskia, Tollenaere, M. A. X., Ho, T., Toledo Lazaro, L. I., Mann, Matthias, Bekker-Jensen, Simon Holst, Räschle, M. & Mailand, Niels, Nov 2016, In: Nature Cell Biology. 18, 11, p. 1196–1207

      Research output: Contribution to journal › Journal article › Research › peer-review

    4. Published

      Activity-based profiling of cullin–RING E3 networks by conformation-specific probes

      Henneberg, L. T., Singh, J., Duda, D. M., Baek, K., Yanishevski, D., Murray, P. J., Mann, Matthias, Sidhu, S. S. & Schulman, B. A., 2023, In: Nature Chemical Biology. 19, p. 1513-1523

      Research output: Contribution to journal › Journal article › Research › peer-review

    5. Published

      Advancing cell biology through proteomics in space and time (PROSPECTS)

      Lamond, A. I., Uhlen, M., Horning, S., Makarov, A., Robinson, C. V., Serrano, L., Hartl, F. U., Baumeister, W., Werenskiold, A. K., Mann, Matthias, Andersen, J. S., Vorm, O., Linial, M. & Aebersold, R., 1 Mar 2012, In: Molecular & Cellular Proteomics. 11, 3, 12 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    6. Adverse stem cell clones within a single patient's tumor predict clinical outcome in AML patients

      Zeller, C., Richter, D., Jurinovic, V., Valtierra-Gutiérrez, I. A., Jayavelu, A. K., Mann, Matthias, Bagnoli, J. W., Hellmann, I., Herold, T., Enard, W., Vick, B. & Jeremias, I., 12 Mar 2022, In: Journal of Hematology & Oncology. 15, 1, p. 25

      Research output: Contribution to journal › Journal article › Research › peer-review

    7. Alleles of a polymorphic ETV6 binding site in DCDC2 confer risk of reading and language impairment

      Powers, N. R., Eicher, J. D., Butter, F., Kong, Y., Miller, L. L., Ring, S. M., Mann, Matthias & Gruen, J. R., 11 Jul 2013, In: American Journal of Human Genetics. 93, 1, p. 19-28 10 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    8. Published

      AlphaMap: an open-source Python package for the visual annotation of proteomics data with sequence-specific knowledge

      Voytik, E., Bludau, I., Willems, S., Hansen, F. M., Brunner, A., Strauss, Maximilian & Mann, Matthias, 2022, In: Bioinformatics. 38, 3, p. 849-852

      Research output: Contribution to journal › Journal article › Research › peer-review

    9. Published

      AlphaPeptDeep: a modular deep learning framework to predict peptide properties for proteomics

      Zeng, W. F., Zhou, X. X., Willems, S., Ammar, C., Wahle, M., Bludau, I., Voytik, E., Strauss, Maximilian & Mann, Matthias, 2022, In: Nature Communications. 13, 14 p., 7238.

      Research output: Contribution to journal › Journal article › Research › peer-review

    10. Published

      AlphaPeptStats: an open-source Python package for automated and scalable statistical analysis of mass spectrometry-based proteomics

      Krismer, Elena, Bludau, I., Strauss, Maximilian & Mann, Matthias, 2023, In: Bioinformatics. 39, 8, 4 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

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    ID: 5650809