Daniela Janina Bakula

Daniela Janina Bakula

Assistant Professor


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  1. Published

    CNOT6: A Novel Regulator of DNA Mismatch Repair

    Song, P., Liu, S., Liu, D., Keijzers, G., Bakula, Daniela Janina, Duan, S., de Wind, N., Ye, Z., Vakhrushev, Sergey, Scheibye-Knudsen, Morten & Rasmussen, Lene Juel, 2022, In: Cells. 11, 3, 521.

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

  2. Published

    Clinical Trials Targeting Aging

    Nielsen, J. L., Bakula, Daniela Janina & Scheibye-Knudsen, Morten, 2022, In: Frontiers in Aging. 3, 10 p., 820215.

    Research output: Contribution to journal › Review › Research › peer-review

  3. Published

    Meeting Report: Aging Research and Drug Discovery

    Meron, E., Thaysen, M., Angeli, S., Antebi, A., Barzilai, N., Baur, J. A., Bekker-Jensen, S., Birkisdottir, M., Bischof, E., Bruening, J., Brunet, A., Buchwalter, A., Cabreiro, F., Cai, S., Chen, B. H., Ermolaeva, M., Ewald, C. Y., Ferrucci, L., Florian, M. C., Fortney, K. & 58 others, Freund, A., Georgievskaya, A., Gladyshev, V. N., Glass, D., Golato, T., Gorbunova, V., Hoejimakers, J., Houtkooper, R. H., Jager, S., Jaksch, F., Janssens, G., Jensen, M. B., Kaeberlein, M., Karsenty, G., de Keizer, P., Kennedy, B., Kirkland, J. L., Kjær, Michael, Kroemer, G., Lee, K. F., Lemaitre, J. M., Liaskos, D., Longo, V. D., Lu, Y. X., MacArthur, M. R., Maier, A. B., Manakanatas, C., Mitchell, S. J., Moskalev, A., Niedernhofer, L., Ozerov, I., Partridge, L., Passegué, E., Petr, Michael Angelo, Peyer, J., Radenkovic, D., Rando, T. A., Rattan, S., Riedel, C. G., Rudolph, L., Ai, R., Serrano, M., Schumacher, B., Sinclair, D. A., Smith, R., Suh, Y., Taub, P., Trapp, A., Trendelenburg, A. U., Valenzano, D. R., Verburgh, K., Verdin, E., Vijg, J., Westendorp, Rudi GJ, Zonari, A., Bakula, Daniela Janina, Zhavoronkov, A. & Scheibye-Knudsen, Morten, 2022, In: Aging. 14, 2, p. 530-543 14 p.

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

  4. Published

    Nuclear morphology is a deep learning biomarker of cellular senescence

    Heckenbach, Indra John, Mkrtchyan, Garik, Ben Ezra, Michael, Bakula, Daniela Janina, Madsen, Jakob Sture, Nielsen, M. H., Oró, D., Osborne, Brenna, Covarrubias, A. J., Idda, M. L., Gorospe, M., Mortensen, Laust Hvas, Verdin, E., Westendorp, Rudi GJ & Scheibye-Knudsen, Morten, 2022, In: Nature Aging. 2, 8, p. 742-755 14 p.

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

ID: 164258215